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  • Azure Grid Computing - Worker Roles as HPC Compute Nodes

    - by JoshReuben
    Overview ·        With HPC 2008 R2 SP1 You can add Azure worker roles as compute nodes in a local Windows HPC Server cluster. ·        The subscription for Windows Azure like any other Azure Service - charged for the time that the role instances are available, as well as for the compute and storage services that are used on the nodes. ·        Win-Win ? - Azure charges the computer hour cost (according to vm size) amortized over a month – so you save on purchasing compute node hardware. Microsoft wins because you need to purchase HPC to have a local head node for managing this compute cluster grid distributed in the cloud. ·        Blob storage is used to hold input & output files of each job. I can see how Parametric Sweep HPC jobs can be supported (where the same job is run multiple times on each node against different input units), but not MPI.NET (where different HPC Job instances function as coordinated agents and conduct master-slave inter-process communication), unless Azure is somehow tunneling MPI communication through inter-WorkerRole Azure Queues. ·        this is not the end of the story for Azure Grid Computing. If MS requires you to purchase a local HPC license (and administrate it), what's to stop a 3rd party from doing this and encapsulating exposing HPC WCF Broker Service to you for managing compute nodes? If MS doesn’t  provide head node as a service, someone else will! Process ·        requires creation of a worker node template that specifies a connection to an existing subscription for Windows Azure + an availability policy for the worker nodes. ·        After worker nodes are added to the cluster, you can start them, which provisions the Windows Azure role instances, and then bring them online to run HPC cluster jobs. ·        A Windows Azure worker role instance runs a HPC compatible Azure guest operating system which runs on the VMs that host your service. The guest operating system is updated monthly. You can choose to upgrade the guest OS for your service automatically each time an update is released - All role instances defined by your service will run on the guest operating system version that you specify. see Windows Azure Guest OS Releases and SDK Compatibility Matrix (http://go.microsoft.com/fwlink/?LinkId=190549). ·        use the hpcpack command to upload file packages and install files to run on the worker nodes. see hpcpack (http://go.microsoft.com/fwlink/?LinkID=205514). Requirements ·        assuming you have an azure subscription account and the HPC head node installed and configured. ·        Install HPC Pack 2008 R2 SP 1 -  see Microsoft HPC Pack 2008 R2 Service Pack 1 Release Notes (http://go.microsoft.com/fwlink/?LinkID=202812). ·        Configure the head node to connect to the Internet - connectivity is provided by the connection of the head node to the enterprise network. You may need to configure a proxy client on the head node. Any cluster network topology (1-5) is supported). ·        Configure the firewall - allow outbound TCP traffic on the following ports: 80,       443, 5901, 5902, 7998, 7999 ·        Note: HPC Server  uses Admin Mode (Elevated Privileges) in Windows Azure to give the service administrator of the subscription the necessary privileges to initialize HPC cluster services on the worker nodes. ·        Obtain a Windows Azure subscription certificate - the Windows Azure subscription must be configured with a public subscription (API) certificate -a valid X.509 certificate with a key size of at least 2048 bits. Generate a self-sign certificate & upload a .cer file to the Windows Azure Portal Account page > Manage my API Certificates link. see Using the Windows Azure Service Management API (http://go.microsoft.com/fwlink/?LinkId=205526). ·        import the certificate with an associated private key on the HPC cluster head node - into the trusted root store of the local computer account. Obtain Windows Azure Connection Information for HPC Server ·        required for each worker node template ·        copy from azure portal - Get from: navigation pane > Hosted Services > Storage Accounts & CDN ·        Subscription ID - a 32-char hex string in the form xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx. In Properties pane. ·        Subscription certificate thumbprint - a 40-char hex string (you need to remove spaces). In Management Certificates > Properties pane. ·        Service name - the value of <ServiceName> configured in the public URL of the service (http://<ServiceName>.cloudapp.net). In Hosted Services > Properties pane. ·        Blob Storage account name - the value of <StorageAccountName> configured in the public URL of the account (http://<StorageAccountName>.blob.core.windows.net). In Storage Accounts > Properties pane. Import the Azure Subscription Certificate on the HPC Head Node ·        enable the services for Windows HPC Server  to authenticate properly with the Windows Azure subscription. ·        use the Certificates MMC snap-in to import the certificate to the Trusted Root Certification Authorities store of the local computer account. The certificate must be in PFX format (.pfx or .p12 file) with a private key that is protected by a password. ·        see Certificates (http://go.microsoft.com/fwlink/?LinkId=163918). ·        To open the certificates snapin: Run > mmc. File > Add/Remove Snap-in > certificates > Computer account > Local Computer ·        To import the certificate via wizard - Certificates > Trusted Root Certification Authorities > Certificates > All Tasks > Import ·        After the certificate is imported, it appears in the details pane in the Certificates snap-in. You can open the certificate to check its status. Configure a Proxy Client on the HPC Head Node ·        the following Windows HPC Server services must be able to communicate over the Internet (through the firewall) with the services for Windows Azure: HPCManagement, HPCScheduler, HPCBrokerWorker. ·        Create a Windows Azure Worker Node Template ·        Edit HPC node templates in HPC Node Template Editor. ·        Specify: 1) Windows Azure subscription connection info (unique service name) for adding a set of worker nodes to the cluster + 2)worker node availability policy – rules for deploying / removing worker role instances in Windows Azure o   HPC Cluster Manager > Configuration > Navigation Pane > Node Templates > Actions pane > New à Create Node Template Wizard or Edit à Node Template Editor o   Choose Node Template Type page - Windows Azure worker node template o   Specify Template Name page – template name & description o   Provide Connection Information page – Azure Subscription ID (text) & Subscription certificate (browse) o   Provide Service Information page - Azure service name + blob storage account name (optionally click Retrieve Connection Information to get list of available from azure – possible LRT). o   Configure Azure Availability Policy page - how Windows Azure worker nodes start / stop (online / offline the worker role instance -  add / remove) – manual / automatic o   for automatic - In the Configure Windows Azure Worker Availability Policy dialog -select days and hours for worker nodes to start / stop. ·        To validate the Windows Azure connection information, on the template's Connection Information tab > Validate connection information. ·        You can upload a file package to the storage account that is specified in the template - eg upload application or service files that will run on the worker nodes. see hpcpack (http://go.microsoft.com/fwlink/?LinkID=205514). Add Azure Worker Nodes to the HPC Cluster ·        Use the Add Node Wizard – specify: 1) the worker node template, 2) The number of worker nodes   (within the quota of role instances in the azure subscription), and 3)           The VM size of the worker nodes : ExtraSmall, Small, Medium, Large, or ExtraLarge.  ·        to add worker nodes of different sizes, must run the Add Node Wizard separately for each size. ·        All worker nodes that are added to the cluster by using a specific worker node template define a set of worker nodes that will be deployed and managed together in Windows Azure when you start the nodes. This includes worker nodes that you add later by using the worker node template and, if you choose, worker nodes of different sizes. You cannot start, stop, or delete individual worker nodes. ·        To add Windows Azure worker nodes o   In HPC Cluster Manager: Node Management > Actions pane > Add Node à Add Node Wizard o   Select Deployment Method page - Add Azure Worker nodes o   Specify New Nodes page - select a worker node template, specify the number and size of the worker nodes ·        After you add worker nodes to the cluster, they are in the Not-Deployed state, and they have a health state of Unapproved. Before you can use the worker nodes to run jobs, you must start them and then bring them online. ·        Worker nodes are numbered consecutively in a naming series that begins with the root name AzureCN – this is non-configurable. Deploying Windows Azure Worker Nodes ·        To deploy the role instances in Windows Azure - start the worker nodes added to the HPC cluster and bring the nodes online so that they are available to run cluster jobs. This can be configured in the HPC Azure Worker Node Template – Azure Availability Policy -  to be automatic or manual. ·        The Start, Stop, and Delete actions take place on the set of worker nodes that are configured by a specific worker node template. You cannot perform one of these actions on a single worker node in a set. You also cannot perform a single action on two sets of worker nodes (specified by two different worker node templates). ·        ·          Starting a set of worker nodes deploys a set of worker role instances in Windows Azure, which can take some time to complete, depending on the number of worker nodes and the performance of Windows Azure. ·        To start worker nodes manually and bring them online o   In HPC Node Management > Navigation Pane > Nodes > List / Heat Map view - select one or more worker nodes. o   Actions pane > Start – in the Start Azure Worker Nodes dialog, select a node template. o   the state of the worker nodes changes from Not Deployed to track the provisioning progress – worker node Details Pane > Provisioning Log tab. o   If there were errors during the provisioning of one or more worker nodes, the state of those nodes is set to Unknown and the node health is set to Unapproved. To determine the reason for the failure, review the provisioning logs for the nodes. o   After a worker node starts successfully, the node state changes to Offline. To bring the nodes online, select the nodes that are in the Offline state > Bring Online. ·        Troubleshooting o   check node template. o   use telnet to test connectivity: telnet <ServiceName>.cloudapp.net 7999 o   check node status - Deployment status information appears in the service account information in the Windows Azure Portal - HPC queries this -  see  node status information for any failed nodes in HPC Node Management. ·        When role instances are deployed, file packages that were previously uploaded to the storage account using the hpcpack command are automatically installed. You can also upload file packages to storage after the worker nodes are started, and then manually install them on the worker nodes. see hpcpack (http://go.microsoft.com/fwlink/?LinkID=205514). ·        to remove a set of role instances in Windows Azure - stop the nodes by using HPC Cluster Manager (apply the Stop action). This deletes the role instances from the service and changes the state of the worker nodes in the HPC cluster to Not Deployed. ·        Each time that you start a set of worker nodes, two proxy role instances (size Small) are configured in Windows Azure to facilitate communication between HPC Cluster Manager and the worker nodes. The proxy role instances are not listed in HPC Cluster Manager after the worker nodes are added. However, the instances appear in the Windows Azure Portal. The proxy role instances incur charges in Windows Azure along with the worker node instances, and they count toward the quota of role instances in the subscription.

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  • Quickly compute added and removed lines

    - by Philippe Marschall
    I'm trying to compare two text files. I want to compute how many lines were added and removed. Basically what git diff --stat is doing. Bonus points for not having to store the entire file contents in memory. The approach I'm currently having in mind is: read each line of the old file compute a hash (probably MD5 or SHA-1) for each line store the hashes in a set do the same for each line in the new file every hash from the old file set that's missing in the new file set was removed every hash from the new file set that's missing in the old file set was added I'll probably want to exclude empty and all white space lines. There is a small issue with duplicated lines. This can either be solved by additionally storing how often a hash appears or comparing the number of lines in the old and new file and adjust either the added or removed lines so that the numbers add up. Do you see room for improvements or a better approach?

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  • FREE Windows Azure Platform Compute and Storage through the Cloud Essentials Pack for Partners

    - by Eric Nelson
    It can be difficult to find something to look forward to in January – but this year it was a little easier as a) I got lots of great Xbox 360 games and b) the Windows Azure Platform element of the Cloud Essentials Pack for Microsoft Partner Network partners went live. I have previously explained what the Cloud Essentials Pack is and how you can access – but at the time I couldn’t share the details of the Windows Azure Platform element. The Windows Azure Platform element is now available. It gives you each month, for FREE: Windows Azure: 750 hours of extra small compute instance 25 hours of small compute instance 3GB of storage and 250,000 storage transactions SQL Azure: 1 SQL Azure Web Edition database (5GB) Windows Azure AppFabric: App Fabric with 100,000 Access Control transactions and 2 Service Bus connections Plus: Data Transfer:  3GB in and 6GB out (More details of the offer) To activate this offer You need to: Sign your company up to Microsoft Platform Ready (NB: there are other routes to get this benefit – but I know about MPR) Read about Microsoft Platform Ready Visit http://www.microsoftcloudpartner.com/ and sign up.

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  • Writing to a structured buffer with a compute shader (D3D11)

    - by Vertexwahn
    I have some problems writing to a structured buffer. First I create a structured buffer that is filled with float values beginning from 0 to 99. Afterwards a copy the structured buffer to a CPU accessible buffer is made to print the content of the structured buffer to the console. The output is as expected (Numbers 0 to 99 appear on the console). Afterwards I use a compute shader that should change the contents of the structured buffer: RWStructuredBuffer<float> Result : register( u0 ); [numthreads(1, 1, 1)] void CS_main( uint3 GroupId : SV_GroupID ) { Result[GroupId.x] = GroupId.x * 10; } But the compute shader does not change the contents of the structured buffer. The source code can be found here (main.cpp): https://bitbucket.org/Vertexwahn/cmakedemos/src/4abb067afd5781b87a553c4c720956668adca22a/D3D11ComputeShader/src/main.cpp?at=default FillCS.hlsl: https://bitbucket.org/Vertexwahn/cmakedemos/src/4abb067afd5781b87a553c4c720956668adca22a/D3D11ComputeShader/src/FillCS.hlsl?at=default

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  • Why won't xattr PECL extension build on 12.10?

    - by Dan Jones
    I was using the xattr pecl extension in 12.04 (in fact, I think since 10.04) without problem. Not surprisingly, I had to reinstall it after upgrading to 12.10 because of the new version of PHP. But now it fails to build, and I can't figure out why. Other PECL extensions have built fine. And I have libattr1 and libattr1-dev installed. Here's the output from the build: downloading xattr-1.1.0.tgz ... Starting to download xattr-1.1.0.tgz (5,204 bytes) .....done: 5,204 bytes 3 source files, building running: phpize Configuring for: PHP Api Version: 20100412 Zend Module Api No: 20100525 Zend Extension Api No: 220100525 libattr library installation dir? [autodetect] : building in /tmp/pear/temp/pear-build-rootdSMx0G/xattr-1.1.0 running: /tmp/pear/temp/xattr/configure --with-xattr checking for grep that handles long lines and -e... /bin/grep checking for egrep... /bin/grep -E checking for a sed that does not truncate output... /bin/sed checking for cc... cc checking whether the C compiler works... yes checking for C compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether we are using the GNU C compiler... yes checking whether cc accepts -g... yes checking for cc option to accept ISO C89... none needed checking how to run the C preprocessor... cc -E checking for icc... no checking for suncc... no checking whether cc understands -c and -o together... yes checking for system library directory... lib checking if compiler supports -R... no checking if compiler supports -Wl,-rpath,... yes checking build system type... x86_64-unknown-linux-gnu checking host system type... x86_64-unknown-linux-gnu checking target system type... x86_64-unknown-linux-gnu checking for PHP prefix... /usr checking for PHP includes... -I/usr/include/php5 -I/usr/include/php5/main -I/usr/include/php5/TSRM -I/usr/include/php5/Zend -I/usr/include/php5/ext -I/usr/include/php5/ext/date/lib checking for PHP extension directory... /usr/lib/php5/20100525 checking for PHP installed headers prefix... /usr/include/php5 checking if debug is enabled... no checking if zts is enabled... no checking for re2c... re2c checking for re2c version... 0.13.5 (ok) checking for gawk... gawk checking for xattr support... yes, shared checking for xattr files in default path... found in /usr checking for attr_get in -lattr... yes checking how to print strings... printf checking for a sed that does not truncate output... (cached) /bin/sed checking for fgrep... /bin/grep -F checking for ld used by cc... /usr/bin/ld checking if the linker (/usr/bin/ld) is GNU ld... yes checking for BSD- or MS-compatible name lister (nm)... /usr/bin/nm -B checking the name lister (/usr/bin/nm -B) interface... BSD nm checking whether ln -s works... yes checking the maximum length of command line arguments... 1572864 checking whether the shell understands some XSI constructs... yes checking whether the shell understands "+="... yes checking how to convert x86_64-unknown-linux-gnu file names to x86_64-unknown-linux-gnu format... func_convert_file_noop checking how to convert x86_64-unknown-linux-gnu file names to toolchain format... func_convert_file_noop checking for /usr/bin/ld option to reload object files... -r checking for objdump... objdump checking how to recognize dependent libraries... pass_all checking for dlltool... no checking how to associate runtime and link libraries... printf %s\n checking for ar... ar checking for archiver @FILE support... @ checking for strip... strip checking for ranlib... ranlib checking for gawk... (cached) gawk checking command to parse /usr/bin/nm -B output from cc object... ok checking for sysroot... no checking for mt... mt checking if mt is a manifest tool... no checking for ANSI C header files... yes checking for sys/types.h... yes checking for sys/stat.h... yes checking for stdlib.h... yes checking for string.h... yes checking for memory.h... yes checking for strings.h... yes checking for inttypes.h... yes checking for stdint.h... yes checking for unistd.h... yes checking for dlfcn.h... yes checking for objdir... .libs checking if cc supports -fno-rtti -fno-exceptions... no checking for cc option to produce PIC... -fPIC -DPIC checking if cc PIC flag -fPIC -DPIC works... yes checking if cc static flag -static works... yes checking if cc supports -c -o file.o... yes checking if cc supports -c -o file.o... (cached) yes checking whether the cc linker (/usr/bin/ld -m elf_x86_64) supports shared libraries... yes checking whether -lc should be explicitly linked in... no checking dynamic linker characteristics... GNU/Linux ld.so checking how to hardcode library paths into programs... immediate checking whether stripping libraries is possible... yes checking if libtool supports shared libraries... yes checking whether to build shared libraries... yes checking whether to build static libraries... no configure: creating ./config.status config.status: creating config.h config.status: executing libtool commands running: make /bin/bash /tmp/pear/temp/pear-build-rootdSMx0G/xattr-1.1.0/libtool --mode=compile cc -I. -I/tmp/pear/temp/xattr -DPHP_ATOM_INC -I/tmp/pear/temp/pear-build-rootdSMx0G/xattr-1.1.0/include -I/tmp/pear/temp/pear-build-rootdSMx0G/xattr-1.1.0/main -I/tmp/pear/temp/xattr -I/usr/include/php5 -I/usr/include/php5/main -I/usr/include/php5/TSRM -I/usr/include/php5/Zend -I/usr/include/php5/ext -I/usr/include/php5/ext/date/lib -DHAVE_CONFIG_H -g -O2 -c /tmp/pear/temp/xattr/xattr.c -o xattr.lo libtool: compile: cc -I. -I/tmp/pear/temp/xattr -DPHP_ATOM_INC -I/tmp/pear/temp/pear-build-rootdSMx0G/xattr-1.1.0/include -I/tmp/pear/temp/pear-build-rootdSMx0G/xattr-1.1.0/main -I/tmp/pear/temp/xattr -I/usr/include/php5 -I/usr/include/php5/main -I/usr/include/php5/TSRM -I/usr/include/php5/Zend -I/usr/include/php5/ext -I/usr/include/php5/ext/date/lib -DHAVE_CONFIG_H -g -O2 -c /tmp/pear/temp/xattr/xattr.c -fPIC -DPIC -o .libs/xattr.o /tmp/pear/temp/xattr/xattr.c:50:1: error: unknown type name 'function_entry' /tmp/pear/temp/xattr/xattr.c:51:2: warning: braces around scalar initializer [enabled by default] /tmp/pear/temp/xattr/xattr.c:51:2: warning: (near initialization for 'xattr_functions[0]') [enabled by default] /tmp/pear/temp/xattr/xattr.c:51:2: warning: initialization makes integer from pointer without a cast [enabled by default] /tmp/pear/temp/xattr/xattr.c:51:2: warning: (near initialization for 'xattr_functions[0]') [enabled by default] /tmp/pear/temp/xattr/xattr.c:51:2: error: initializer element is not computable at load time /tmp/pear/temp/xattr/xattr.c:51:2: error: (near initialization for 'xattr_functions[0]') /tmp/pear/temp/xattr/xattr.c:51:2: warning: excess elements in scalar initializer [enabled by default] /tmp/pear/temp/xattr/xattr.c:51:2: warning: (near initialization for 'xattr_functions[0]') [enabled by default] /tmp/pear/temp/xattr/xattr.c:51:2: warning: excess elements in scalar initializer [enabled by default] /tmp/pear/temp/xattr/xattr.c:51:2: warning: (near initialization for 'xattr_functions[0]') [enabled by default] /tmp/pear/temp/xattr/xattr.c:51:2: warning: excess elements in scalar initializer [enabled by default] /tmp/pear/temp/xattr/xattr.c:51:2: warning: (near initialization for 'xattr_functions[0]') [enabled by default] /tmp/pear/temp/xattr/xattr.c:51:2: warning: excess elements in scalar initializer [enabled by default] /tmp/pear/temp/xattr/xattr.c:51:2: warning: (near initialization for 'xattr_functions[0]') [enabled by default] /tmp/pear/temp/xattr/xattr.c:52:2: warning: braces around scalar initializer [enabled by default] /tmp/pear/temp/xattr/xattr.c:52:2: warning: (near initialization for 'xattr_functions[1]') [enabled by default] /tmp/pear/temp/xattr/xattr.c:52:2: warning: initialization makes integer from pointer without a cast [enabled by default] /tmp/pear/temp/xattr/xattr.c:52:2: warning: (near initialization for 'xattr_functions[1]') [enabled by default] /tmp/pear/temp/xattr/xattr.c:52:2: error: initializer element is not computable at load time /tmp/pear/temp/xattr/xattr.c:52:2: error: (near initialization for 'xattr_functions[1]') /tmp/pear/temp/xattr/xattr.c:52:2: warning: excess elements in scalar initializer [enabled by default] /tmp/pear/temp/xattr/xattr.c:52:2: warning: (near initialization for 'xattr_functions[1]') [enabled by default] /tmp/pear/temp/xattr/xattr.c:52:2: warning: excess elements in scalar initializer [enabled by default] /tmp/pear/temp/xattr/xattr.c:52:2: warning: (near initialization for 'xattr_functions[1]') [enabled by default] /tmp/pear/temp/xattr/xattr.c:52:2: warning: excess elements in scalar initializer [enabled by default] /tmp/pear/temp/xattr/xattr.c:52:2: warning: (near initialization for 'xattr_functions[1]') [enabled by default] /tmp/pear/temp/xattr/xattr.c:52:2: warning: excess elements in scalar initializer [enabled by default] /tmp/pear/temp/xattr/xattr.c:52:2: warning: (near initialization for 'xattr_functions[1]') [enabled by default] /tmp/pear/temp/xattr/xattr.c:53:2: warning: braces around scalar initializer [enabled by default] /tmp/pear/temp/xattr/xattr.c:53:2: warning: (near initialization for 'xattr_functions[2]') [enabled by default] /tmp/pear/temp/xattr/xattr.c:53:2: warning: initialization makes integer from pointer without a cast [enabled by default] /tmp/pear/temp/xattr/xattr.c:53:2: warning: (near initialization for 'xattr_functions[2]') [enabled by default] /tmp/pear/temp/xattr/xattr.c:53:2: error: initializer element is not computable at load time /tmp/pear/temp/xattr/xattr.c:53:2: error: (near initialization for 'xattr_functions[2]') /tmp/pear/temp/xattr/xattr.c:53:2: warning: excess elements in scalar initializer [enabled by default] /tmp/pear/temp/xattr/xattr.c:53:2: warning: (near initialization for 'xattr_functions[2]') [enabled by default] /tmp/pear/temp/xattr/xattr.c:53:2: warning: excess elements in scalar initializer [enabled by default] /tmp/pear/temp/xattr/xattr.c:53:2: warning: (near initialization for 'xattr_functions[2]') [enabled by default] /tmp/pear/temp/xattr/xattr.c:53:2: warning: excess elements in scalar initializer [enabled by default] /tmp/pear/temp/xattr/xattr.c:53:2: warning: (near initialization for 'xattr_functions[2]') [enabled by default] /tmp/pear/temp/xattr/xattr.c:53:2: warning: excess elements in scalar initializer [enabled by default] /tmp/pear/temp/xattr/xattr.c:53:2: warning: (near initialization for 'xattr_functions[2]') [enabled by default] /tmp/pear/temp/xattr/xattr.c:54:2: warning: braces around scalar initializer [enabled by default] /tmp/pear/temp/xattr/xattr.c:54:2: warning: (near initialization for 'xattr_functions[3]') [enabled by default] /tmp/pear/temp/xattr/xattr.c:54:2: warning: initialization makes integer from pointer without a cast [enabled by default] /tmp/pear/temp/xattr/xattr.c:54:2: warning: (near initialization for 'xattr_functions[3]') [enabled by default] /tmp/pear/temp/xattr/xattr.c:54:2: error: initializer element is not computable at load time /tmp/pear/temp/xattr/xattr.c:54:2: error: (near initialization for 'xattr_functions[3]') /tmp/pear/temp/xattr/xattr.c:54:2: warning: excess elements in scalar initializer [enabled by default] /tmp/pear/temp/xattr/xattr.c:54:2: warning: (near initialization for 'xattr_functions[3]') [enabled by default] /tmp/pear/temp/xattr/xattr.c:54:2: warning: excess elements in scalar initializer [enabled by default] /tmp/pear/temp/xattr/xattr.c:54:2: warning: (near initialization for 'xattr_functions[3]') [enabled by default] /tmp/pear/temp/xattr/xattr.c:54:2: warning: excess elements in scalar initializer [enabled by default] /tmp/pear/temp/xattr/xattr.c:54:2: warning: (near initialization for 'xattr_functions[3]') [enabled by default] /tmp/pear/temp/xattr/xattr.c:54:2: warning: excess elements in scalar initializer [enabled by default] /tmp/pear/temp/xattr/xattr.c:54:2: warning: (near initialization for 'xattr_functions[3]') [enabled by default] /tmp/pear/temp/xattr/xattr.c:55:2: warning: braces around scalar initializer [enabled by default] /tmp/pear/temp/xattr/xattr.c:55:2: warning: (near initialization for 'xattr_functions[4]') [enabled by default] /tmp/pear/temp/xattr/xattr.c:55:2: warning: initialization makes integer from pointer without a cast [enabled by default] /tmp/pear/temp/xattr/xattr.c:55:2: warning: (near initialization for 'xattr_functions[4]') [enabled by default] /tmp/pear/temp/xattr/xattr.c:55:2: error: initializer element is not computable at load time /tmp/pear/temp/xattr/xattr.c:55:2: error: (near initialization for 'xattr_functions[4]') /tmp/pear/temp/xattr/xattr.c:55:2: warning: excess elements in scalar initializer [enabled by default] /tmp/pear/temp/xattr/xattr.c:55:2: warning: (near initialization for 'xattr_functions[4]') [enabled by default] /tmp/pear/temp/xattr/xattr.c:55:2: warning: excess elements in scalar initializer [enabled by default] /tmp/pear/temp/xattr/xattr.c:55:2: warning: (near initialization for 'xattr_functions[4]') [enabled by default] /tmp/pear/temp/xattr/xattr.c:55:2: warning: excess elements in scalar initializer [enabled by default] /tmp/pear/temp/xattr/xattr.c:55:2: warning: (near initialization for 'xattr_functions[4]') [enabled by default] /tmp/pear/temp/xattr/xattr.c:55:2: warning: excess elements in scalar initializer [enabled by default] /tmp/pear/temp/xattr/xattr.c:55:2: warning: (near initialization for 'xattr_functions[4]') [enabled by default] /tmp/pear/temp/xattr/xattr.c:56:2: warning: braces around scalar initializer [enabled by default] /tmp/pear/temp/xattr/xattr.c:56:2: warning: (near initialization for 'xattr_functions[5]') [enabled by default] /tmp/pear/temp/xattr/xattr.c:56:2: warning: initialization makes integer from pointer without a cast [enabled by default] /tmp/pear/temp/xattr/xattr.c:56:2: warning: (near initialization for 'xattr_functions[5]') [enabled by default] /tmp/pear/temp/xattr/xattr.c:56:2: warning: excess elements in scalar initializer [enabled by default] /tmp/pear/temp/xattr/xattr.c:56:2: warning: (near initialization for 'xattr_functions[5]') [enabled by default] /tmp/pear/temp/xattr/xattr.c:56:2: warning: excess elements in scalar initializer [enabled by default] /tmp/pear/temp/xattr/xattr.c:56:2: warning: (near initialization for 'xattr_functions[5]') [enabled by default] /tmp/pear/temp/xattr/xattr.c:67:2: warning: initialization from incompatible pointer type [enabled by default] /tmp/pear/temp/xattr/xattr.c:67:2: warning: (near initialization for 'xattr_module_entry.functions') [enabled by default] /tmp/pear/temp/xattr/xattr.c: In function 'zif_xattr_set': /tmp/pear/temp/xattr/xattr.c:122:49: error: 'struct _php_core_globals' has no member named 'safe_mode' /tmp/pear/temp/xattr/xattr.c:122:92: error: 'CHECKUID_DISALLOW_FILE_NOT_EXISTS' undeclared (first use in this function) /tmp/pear/temp/xattr/xattr.c:122:92: note: each undeclared identifier is reported only once for each function it appears in /tmp/pear/temp/xattr/xattr.c: In function 'zif_xattr_get': /tmp/pear/temp/xattr/xattr.c:171:49: error: 'struct _php_core_globals' has no member named 'safe_mode' /tmp/pear/temp/xattr/xattr.c:171:92: error: 'CHECKUID_DISALLOW_FILE_NOT_EXISTS' undeclared (first use in this function) /tmp/pear/temp/xattr/xattr.c:187:2: warning: passing argument 4 of 'attr_get' from incompatible pointer type [enabled by default] In file included from /tmp/pear/temp/xattr/xattr.c:37:0: /usr/include/attr/attributes.h:122:12: note: expected 'int *' but argument is of type 'size_t *' /tmp/pear/temp/xattr/xattr.c:198:3: warning: passing argument 4 of 'attr_get' from incompatible pointer type [enabled by default] In file included from /tmp/pear/temp/xattr/xattr.c:37:0: /usr/include/attr/attributes.h:122:12: note: expected 'int *' but argument is of type 'size_t *' /tmp/pear/temp/xattr/xattr.c: In function 'zif_xattr_supported': /tmp/pear/temp/xattr/xattr.c:243:49: error: 'struct _php_core_globals' has no member named 'safe_mode' /tmp/pear/temp/xattr/xattr.c:243:92: error: 'CHECKUID_DISALLOW_FILE_NOT_EXISTS' undeclared (first use in this function) /tmp/pear/temp/xattr/xattr.c: In function 'zif_xattr_remove': /tmp/pear/temp/xattr/xattr.c:288:49: error: 'struct _php_core_globals' has no member named 'safe_mode' /tmp/pear/temp/xattr/xattr.c:288:92: error: 'CHECKUID_DISALLOW_FILE_NOT_EXISTS' undeclared (first use in this function) /tmp/pear/temp/xattr/xattr.c: In function 'zif_xattr_list': /tmp/pear/temp/xattr/xattr.c:337:49: error: 'struct _php_core_globals' has no member named 'safe_mode' /tmp/pear/temp/xattr/xattr.c:337:92: error: 'CHECKUID_DISALLOW_FILE_NOT_EXISTS' undeclared (first use in this function) make: *** [xattr.lo] Error 1 ERROR: `make' failed There seem to be a few errors, but I can't make heads or tails of them. Does this just not work properly in 12.10? That would be a big problem for me.

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  • Efficiently separating Read/Compute/Write steps for concurrent processing of entities in Entity/Component systems

    - by TravisG
    Setup I have an entity-component architecture where Entities can have a set of attributes (which are pure data with no behavior) and there exist systems that run the entity logic which act on that data. Essentially, in somewhat pseudo-code: Entity { id; map<id_type, Attribute> attributes; } System { update(); vector<Entity> entities; } A system that just moves along all entities at a constant rate might be MovementSystem extends System { update() { for each entity in entities position = entity.attributes["position"]; position += vec3(1,1,1); } } Essentially, I'm trying to parallelise update() as efficiently as possible. This can be done by running entire systems in parallel, or by giving each update() of one system a couple of components so different threads can execute the update of the same system, but for a different subset of entities registered with that system. Problem In reality, these systems sometimes require that entities interact(/read/write data from/to) each other, sometimes within the same system (e.g. an AI system that reads state from other entities surrounding the current processed entity), but sometimes between different systems that depend on each other (i.e. a movement system that requires data from a system that processes user input). Now, when trying to parallelize the update phases of entity/component systems, the phases in which data (components/attributes) from Entities are read and used to compute something, and the phase where the modified data is written back to entities need to be separated in order to avoid data races. Otherwise the only way (not taking into account just "critical section"ing everything) to avoid them is to serialize parts of the update process that depend on other parts. This seems ugly. To me it would seem more elegant to be able to (ideally) have all processing running in parallel, where a system may read data from all entities as it wishes, but doesn't write modifications to that data back until some later point. The fact that this is even possible is based on the assumption that modification write-backs are usually very small in complexity, and don't require much performance, whereas computations are very expensive (relatively). So the overhead added by a delayed-write phase might be evened out by more efficient updating of entities (by having threads work more % of the time instead of waiting). A concrete example of this might be a system that updates physics. The system needs to both read and write a lot of data to and from entities. Optimally, there would be a system in place where all available threads update a subset of all entities registered with the physics system. In the case of the physics system this isn't trivially possible because of race conditions. So without a workaround, we would have to find other systems to run in parallel (which don't modify the same data as the physics system), other wise the remaining threads are waiting and wasting time. However, that has disadvantages Practically, the L3 cache is pretty much always better utilized when updating a large system with multiple threads, as opposed to multiple systems at once, which all act on different sets of data. Finding and assembling other systems to run in parallel can be extremely time consuming to design well enough to optimize performance. Sometimes, it might even not be possible at all because a system just depends on data that is touched by all other systems. Solution? In my thinking, a possible solution would be a system where reading/updating and writing of data is separated, so that in one expensive phase, systems only read data and compute what they need to compute, and then in a separate, performance-wise cheap, write phase, attributes of entities that needed to be modified are finally written back to the entities. The Question How might such a system be implemented to achieve optimal performance, as well as making programmer life easier? What are the implementation details of such a system and what might have to be changed in the existing EC-architecture to accommodate this solution?

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  • .NET access to the GPU for compute purposes

    - by Daniel Moth
    In the distant past I talked about GPGPU and Microsoft's then approach of DirectCompute. Since then of course we now have C++ AMP coming out with Visual Studio 11, so there is a mainstream easier way for developers to access the GPU for compute purposes, using C++. The question occasionally arises of how can a .NET developer access the GPU for compute purposes from their C# (or VB) code. The answer is by interoping from the managed code to a native DLL and in the native DLL use C++ AMP. As a long term .NET developer myself, I can tell you this is straightforward. Sure, there could have been a managed wrapper for C++ AMP, but honestly that is the reason we have interop – it doesn't make much sense to invest resources to solve a problem that is already solved (most developer customers would prefer investments in other areas of Visual Studio!). Besides, interoping from C# to C++ is much easier than interoping to some of the other older approaches of GPGPU programming ;-) To help you get started with the interop approach, Igor Ostrovsky has previously shared the "Hello World" version of interoping from C# to C++ AMP in his blog post: How to use C++ AMP from C# …we then were asked specifically about how to interop from C# to C++ AMP in a Metro style application on Windows 8, so Igor delivered again with this post: How to use C++ AMP from C# using WinRT Have fun! Comments about this post by Daniel Moth welcome at the original blog.

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  • NEW Marketing kit - Oracle Virtual Compute Appliance

    - by Cinzia Mascanzoni
    Oracle Virtual Compute Appliance is an engineered system that radically simplifies the way customers install, deploy, and manage converged infrastructures for any Linux, Oracle Solaris, or Microsoft Windows application. That Oracle Appliance is a new compelling topic for new 'win win deals' with your customers. Visit the OPN Portal to download the kit. The kit contains many deliverables: from marketing material (eblast, telemarketing script, landing pad) to customer facing presentations, whitepaters, cheat sheets, and enablement.

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  • Cannot compute wNear and wFar from projection matrix

    - by DeadMG
    I've got the following error from Direct3D when attempting to render in 3D: Direct3D9: (WARN) :Cannot compute WNear and WFar from the supplied projection matrix Direct3D9: (WARN) :Setting wNear to 0.0 and wFar to 1.0 My projection matrix is as follows: D3DXMatrixPerspectiveFovLH( &Projection, D3DXToRadian(90), (float)GetDimensions().x / (float)GetDimensions().y, NearPlane, FarPlane ); D3DCALL(device->SetTransform( D3DTS_PROJECTION, &Projection )); The NearPlane is 0.1f, the FarPlane is 40.0f, and the dimensions are 1920x1018. This code was working earlier but I appear to have broken it, and I'm not sure where the fault is. Previously I've only encountered it if NearPlane was 0, and Google hasn't suggested any other causes either. Any suggestions?

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  • Compute if a function is pure

    - by Oni
    As per Wikipedia: In computer programming, a function may be described as pure if both these statements about the function hold: The function always evaluates the same result value given the same argument value(s). The function result value cannot depend on any hidden information or state that may change as program execution proceeds or between different executions of the program, nor can it depend on any external input from I/O devices. Evaluation of the result does not cause any semantically observable side effect or output, such as mutation of mutable objects or output to I/O devices. I am wondering if it is possible to write a function that compute if a function is pure or not. Example code in Javascript: function sum(a,b) { return a+b; } function say(x){ console.log(x); } isPure(sum) // True isPure(say) // False

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  • Why do I need two Instances in Windows Azure?

    - by BuckWoody
    Windows Azure as a Platform as a Service (PaaS) means that there are various components you can use in it to solve a problem: Compute “Roles” - Computers running an OS and optionally IIS - you can have more than one "Instance" of a given Role Storage - Blobs, Tables and Queues for Storage Other Services - Things like the Service Bus, Azure Connection Services, SQL Azure and Caching It’s important to understand that some of these services are Stateless and others maintain State. Stateless means (at least in this case) that a system might disappear from one physical location and appear elsewhere. You can think of this as a cashier at the front of a store. If you’re in line, a cashier might take his break, and another person might replace him. As long as the order proceeds, you as the customer aren’t really affected except for the few seconds it takes to change them out. The cashier function in this example is stateless. The Compute Role Instances in Windows Azure are Stateless. To upgrade hardware, because of a fault or many other reasons, a Compute Role's Instance might stop on one physical server, and another will pick it up. This is done through the controlling fabric that Windows Azure uses to manage the systems. It’s important to note that storage in Azure does maintain State. Your data will not simply disappear - it is maintained - in fact, it’s maintained three times in a single datacenter and all those copies are replicated to another for safety. Going back to our example, storage is similar to the cash register itself. Even though a cashier leaves, the record of your payment is maintained. So if a Compute Role Instance can disappear and re-appear, the things running on that first Instance would stop working. If you wrote your code in a Stateless way, then another Role Instance simply re-starts that transaction and keeps working, just like the other cashier in the example. But if you only have one Instance of a Role, then when the Role Instance is re-started, or when you need to upgrade your own code, you can face downtime, since there’s only one. That means you should deploy at least two of each Role Instance not only for scale to handle load, but so that the first “cashier” has someone to replace them when they disappear. It’s not just a good idea - to gain the Service Level Agreement (SLA) for our uptime in Azure it’s a requirement. We point this out right in the Management Portal when you deploy the application: (Click to enlarge) When you deploy a Role Instance you can also set the “Upgrade Domain”. Placing Roles on separate Upgrade Domains means that you have a continuous service whenever you upgrade (more on upgrades in another post) - the process looks like this for two Roles. This example covers the scenario for upgrade, so you have four roles total - One Web and one Worker running the "older" code, and one of each running the new code. In all those Roles you want at least two instances, and this example shows that you're covered for High Availability and upgrade paths: The take-away is this - always plan for forward-facing Roles to have at least two copies. For Worker Roles that do background processing, there are ways to architect around this number, but it does affect the SLA if you have only one.

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  • Vector vs Scalar velocity?

    - by Serguei Fedorov
    I am revamping an engine I have been working on and off on for the last few weeks to use a directional vector to dictate direction; this way I can dictate the displacement based on a direction. However, the issue I am trying to overcome is the following problem; the speed towards X and speed towards Y are unrelated to one another. If gravity pulls the object down by an increasing velocity my velocity towards the X should not change. This is very easy to implement if my speed is broken into a Vector datatype, Vector.X dictates one direction Vector.Y dictates the other (assuming we are not concerned about the Z axis). However, this defeats the purpose of the directional vector because: SpeedX = 10 SpeedY = 15 [1, 1] normalized = ~[0.7, 0.7] [0.7, 0.7] * [10, 15] = [7, 10.5] As you can see my direction is now "scaled" to my speed which is no longer the direction that I want to be moving in. I am very new to vector math and this is a learning project for me. I looked around a little bit on the internet but I still want to figure out things on my own (not just look at an example and copy off it). Is there way around this? Using a directional vector is extremely useful but I am a little bit stumped at this problem. I am sorry if my mathematical understanding maybe completely wrong.

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  • Windows Azure Learning Plan - Compute

    - by BuckWoody
    This is one in a series of posts on a Windows Azure Learning Plan. You can find the main post here. This one deals with the "compute" function of Windows Azure, which includes Configuration Files, the Web Role, the Worker Role, and the VM Role. There is a general programming guide for Windows Azure that you can find here to help with the overall process.   Configuration Files Configuration Files define the environment for a Windows Azure application, similar to an ASP.NET application. This section explains how to work with these. General Introduction and Overview http://blogs.itmentors.com/bill/2009/11/04/configuration-files-and-windows-azure/ Service Definition File Schema http://msdn.microsoft.com/en-us/library/ee758711.aspx Service Configuration File Schema http://msdn.microsoft.com/en-us/library/ee758710.aspx  Windows Azure Web Role The Web Role runs code (such as ASP pages) that require a User Interface. Web Role "Boot Camp" Video  https://msevents.microsoft.com/CUI/WebCastEventDetails.aspx?culture=en-US&EventID=1032470854&CountryCode=US Web Role Deployment Checklist http://blogs.infragistics.com/blogs/anton_staykov/archive/2010/06/30/windows-azure-web-role-deployment-checklist.aspx  Using a Web Role as a Worker Role for Small Applications http://www.31a2ba2a-b718-11dc-8314-0800200c9a66.com/2010/12/how-to-combine-worker-and-web-role-in.html Windows Azure Worker Role  The Worker Role is used for code that does not require a direct User Interface. Worker Role "Boot Camp" Video https://msevents.microsoft.com/CUI/WebCastEventDetails.aspx?culture=en-US&EventID=1032470871&CountryCode=US Worker Role versus Web Roles http://msdn.microsoft.com/en-us/library/gg433012.aspx Deploying other applications (like Java) in a Windows Azure Worker Role http://blogs.msdn.com/b/mariok/archive/2011/01/05/deploying-java-applications-in-azure.aspx Windows Azure VM Role The Windows Azure VM Role is an Operating System-level mechanism for code deployment. VM Role Overview and Details  http://msdn.microsoft.com/en-us/library/gg465398.aspx  The proper use of the VM Role http://blogs.msdn.com/b/buckwoody/archive/2010/12/28/the-proper-use-of-the-vm-role-in-windows-azure.aspx

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  • best way to compute vertex normals from a Triangle's list

    - by nkint
    hi i'm a complete newbie in computergraphics so sorry if it's a stupid answer. i'm trying to make a simple 3d engine from scratch, more for educational purpose than for real use. i have a Surface object with inside a Triangle's list. For now i compute normals inside Triangle class, in this way: triangle.computeFaceNormals() { Vec3D u = v1.sub(v3) Vec3D v = v1.sub(v2) Vec3D normal = Vec3D.cross(u,v) normal.normalized() this.n1 = this.n2 = this.n3 = normal } and when building surface: t = new Triangle(v1,v2,v3).computeFaceNormals() surface.addTriangle(t) and i think this is the best way to do that.. isn't it? now.. what about for vertex normals? i've found this simple algorithm: flipcode vertex normal but.. hei this algorithm has.. exponential complexity? (if my memory doesn't fail my computer science background..) (bytheway.. it has 3 nested loops.. i don't think it's the best way to do it..) any suggestion?

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  • Perl, Array called by scalar doesn't work in foreach loop.

    - by foxhop
    This code outputs the scalars in the row array properly: $line = "This is my favorite test"; @row = split(/ /, $line); print $row[0]; print $row[1]; The same code inside a foreach loop doesn't print any scalar values: foreach $line (@lines){ @row = split(/ /, $line); print $row[0]; print $row[1]; } What could cause this to happen? I am new to perl coming from python. I need to learn perl for my new position.

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  • Windows Azure Emulators On Your Desktop

    - by BuckWoody
    Many people feel they have to set up a full Azure subscription online to try out and develop on Windows Azure. But you don’t have to do that right away. In fact, you can download the Windows Azure Compute Emulator – a “cloud development environment” – right on your desktop. No, it’s not for production use, and no, you won’t have other people using your system as a cloud provider, and yes, there are some differences with Production Windows Azure, but you’ll be able code, run, test, diagnose, watch, change and configure code without having any connection to the Internet at all. The best thing about this approach is that when you are ready to deploy the code you’ve been testing, a few clicks deploys it to your subscription when you make one.   So what deep-magic does it take to run such a thing right on your laptop or even a Virtual PC? Well, it’s actually not all that difficult. You simply download and install the Windows Azure SDK (you can even get a free version of Visual Studio for it to run on – you’re welcome) from here: http://msdn.microsoft.com/en-us/windowsazure/cc974146.aspx   This SDK will also install the Windows Azure Compute Emulator and the Windows Azure Storage Emulator – and then you’re all set. Right-click the icon for Visual Studio and select “Run as Administrator”:    Now open a new “Cloud” type of project:   Add your Web and Worker Roles that you want to code:   And when you’re done with your design, press F5 to start the desktop version of Azure:   Want to learn more about what’s happening underneath? Right-click the tray icon with the Azure logo, and select the two emulators to see what they are doing:          In the configuration files, you’ll see a “Use Development Storage” setting. You can call the BLOB, Table or Queue storage and it will all run on your desktop. When you’re ready to deploy everything to Windows Azure, you simply change the configuration settings and add the storage keys and so on that you need.   Want to learn more about all this?   Overview of the Windows Azure Compute Emulator: http://msdn.microsoft.com/en-us/library/gg432968.aspx Overview of the Windows Azure Storage Emulator: http://msdn.microsoft.com/en-us/library/gg432983.aspx January 2011 Training Kit: http://www.microsoft.com/downloads/en/details.aspx?FamilyID=413E88F8-5966-4A83-B309-53B7B77EDF78&displaylang=en      

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  • Windows Azure Emulators On Your Desktop

    - by BuckWoody
    Many people feel they have to set up a full Azure subscription online to try out and develop on Windows Azure. But you don’t have to do that right away. In fact, you can download the Windows Azure Compute Emulator – a “cloud development environment” – right on your desktop. No, it’s not for production use, and no, you won’t have other people using your system as a cloud provider, and yes, there are some differences with Production Windows Azure, but you’ll be able code, run, test, diagnose, watch, change and configure code without having any connection to the Internet at all. The best thing about this approach is that when you are ready to deploy the code you’ve been testing, a few clicks deploys it to your subscription when you make one.   So what deep-magic does it take to run such a thing right on your laptop or even a Virtual PC? Well, it’s actually not all that difficult. You simply download and install the Windows Azure SDK (you can even get a free version of Visual Studio for it to run on – you’re welcome) from here: http://msdn.microsoft.com/en-us/windowsazure/cc974146.aspx   This SDK will also install the Windows Azure Compute Emulator and the Windows Azure Storage Emulator – and then you’re all set. Right-click the icon for Visual Studio and select “Run as Administrator”:    Now open a new “Cloud” type of project:   Add your Web and Worker Roles that you want to code:   And when you’re done with your design, press F5 to start the desktop version of Azure:   Want to learn more about what’s happening underneath? Right-click the tray icon with the Azure logo, and select the two emulators to see what they are doing:          In the configuration files, you’ll see a “Use Development Storage” setting. You can call the BLOB, Table or Queue storage and it will all run on your desktop. When you’re ready to deploy everything to Windows Azure, you simply change the configuration settings and add the storage keys and so on that you need.   Want to learn more about all this?   Overview of the Windows Azure Compute Emulator: http://msdn.microsoft.com/en-us/library/gg432968.aspx Overview of the Windows Azure Storage Emulator: http://msdn.microsoft.com/en-us/library/gg432983.aspx January 2011 Training Kit: http://www.microsoft.com/downloads/en/details.aspx?FamilyID=413E88F8-5966-4A83-B309-53B7B77EDF78&displaylang=en      

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  • Most efficient way to implement delta time

    - by Starkers
    Here's one way to implement delta time: /// init /// var duration = 5000, currentTime = Date.now(); // and create cube, scene, camera ect ////// function animate() { /// determine delta /// var now = Date.now(), deltat = now - currentTime, currentTime = now, scalar = deltat / duration, angle = (Math.PI * 2) * scalar; ////// /// animate /// cube.rotation.y += angle; ////// /// update /// requestAnimationFrame(render); ////// } Could someone confirm I know how it works? Here what I think is going on: Firstly, we set duration at 5000, which how long the loop will take to complete in an ideal world. With a computer that is slow/busy, let's say the animation loop takes twice as long as it should, so 10000: When this happens, the scalar is set to 2.0: scalar = deltat / duration scalar = 10000 / 5000 scalar = 2.0 We now times all animation by twice as much: angle = (Math.PI * 2) * scalar; angle = (Math.PI * 2) * 2.0; angle = (Math.PI * 4) // which is 2 rotations When we do this, the cube rotation will appear to 'jump', but this is good because the animation remains real-time. With a computer that is going too quickly, let's say the animation loop takes half as long as it should, so 2500: When this happens, the scalar is set to 0.5: scalar = deltat / duration scalar = 2500 / 5000 scalar = 0.5 We now times all animation by a half: angle = (Math.PI * 2) * scalar; angle = (Math.PI * 2) * 0.5; angle = (Math.PI * 1) // which is half a rotation When we do this, the cube won't jump at all, and the animation remains real time, and doesn't speed up. However, would I be right in thinking this doesn't alter how hard the computer is working? I mean it still goes through the loop as fast as it can, and it still has render the whole scene, just with different smaller angles! So this a bad way to implement delta time, right? Now let's pretend the computer is taking exactly as long as it should, so 5000: When this happens, the scalar is set to 1.0: angle = (Math.PI * 2) * scalar; angle = (Math.PI * 2) * 1; angle = (Math.PI * 2) // which is 1 rotation When we do this, everything is timsed by 1, so nothing is changed. We'd get the same result if we weren't using delta time at all! My questions are as follows Mostly importantly, have I got the right end of the stick here? How do we know to set the duration to 5000 ? Or can it be any number? I'm a bit vague about the "computer going too quickly". Is there a way loop less often rather than reduce the animation steps? Seems like a better idea. Using this method, do all of our animations need to be timesed by the scalar? Do we have to hunt down every last one and times it? Is this the best way to implement delta time? I think not, due to the fact the computer can go nuts and all we do is divide each animation step and because we need to hunt down every step and times it by the scalar. Not a very nice DSL, as it were. So what is the best way to implement delta time? Below is one way that I do not really get but may be a better way to implement delta time. Could someone explain please? // Globals INV_MAX_FPS = 1 / 60; frameDelta = 0; clock = new THREE.Clock(); // In the animation loop (the requestAnimationFrame callback)… frameDelta += clock.getDelta(); // API: "Get the seconds passed since the last call to this method." while (frameDelta >= INV_MAX_FPS) { update(INV_MAX_FPS); // calculate physics frameDelta -= INV_MAX_FPS; } How I think this works: Firstly we set INV_MAX_FPS to 0.01666666666 How we will use this number number does not jump out at me. We then intialize a frameDelta which stores how long the last loop took to run. Come the first loop frameDelta is not greater than INV_MAX_FPS so the loop is not run (0 = 0.01666666666). So nothing happens. Now I really don't know what would cause this to happen, but let's pretend that the loop we just went through took 2 seconds to complete: We set frameDelta to 2: frameDelta += clock.getDelta(); frameDelta += 2.00 Now we run an animation thanks to update(0.01666666666). Again what is relevance of 0.01666666666?? And then we take away 0.01666666666 from the frameDelta: frameDelta -= INV_MAX_FPS; frameDelta = frameDelta - INV_MAX_FPS; frameDelta = 2 - 0.01666666666 frameDelta = 1.98333333334 So let's go into the second loop. Let's say it took 2(? Why not 2? Or 12? I am a bit confused): frameDelta += clock.getDelta(); frameDelta = frameDelta + clock.getDelta(); frameDelta = 1.98333333334 + 2 frameDelta = 3.98333333334 This time we enter the while loop because 3.98333333334 = 0.01666666666 We run update We take away 0.01666666666 from frameDelta again: frameDelta -= INV_MAX_FPS; frameDelta = frameDelta - INV_MAX_FPS; frameDelta = 3.98333333334 - 0.01666666666 frameDelta = 3.96666666668 Now let's pretend the loop is super quick and runs in just 0.1 seconds and continues to do this. (Because the computer isn't busy any more). Basically, the update function will be run, and every loop we take away 0.01666666666 from the frameDelta untill the frameDelta is less than 0.01666666666. And then nothing happens until the computer runs slowly again? Could someone shed some light please? Does the update() update the scalar or something like that and we still have to times everything by the scalar like in the first example?

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  • Flickering when accessing texture by offset

    - by TravisG
    I have this simple compute shader that basically just takes the input from one image and writes it to another. Both images are 128/128/128 in size and glDispatchCompute is called with (128/8,128/8,128/8). The source images are cleared to 0 before this compute shader is executed, so no undefined values should be floating around in there. (I have the appropriate memory barrier on the C++ side set before the 3D texture is accessed). This version works fine: #version 430 layout (location = 0, rgba16f) uniform image3D ping; layout (location = 1, rgba16f) uniform image3D pong; layout (local_size_x = 8, local_size_y = 8, local_size_z = 8) in; void main() { ivec3 sampleCoord = gl_GlobalInvocationID.xyz; imageStore(pong, imageLoad(ping,sampleCoord)); } Reading values from pong shows that it's just a copy, as intended. However, when I load data from ping with an offset: #version 430 layout (location = 0, rgba16f) uniform image3D ping; layout (location = 1, rgba16f) uniform image3D pong; layout (local_size_x = 8, local_size_y = 8, local_size_z = 8) in; void main() { ivec3 sampleCoord = gl_GlobalInvocationID.xyz; imageStore(pong, imageLoad(ping,sampleCoord+ivec3(1,0,0))); } The data that is written to pong seems to depend on the order of execution of the threads within the work groups, which makes no sense to me. When reading from the pong texture, visible flickering occurs in some spots on the texture. What am I doing wrong here?

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  • Using ISO Image with a Local Repository for updating Exadata Compute nodes

    - by Rene Kundersma
    For systems that cannot connect directly to Oracle ULN to build a local repository an ISO image file is made available by Oracle. This ISO image can be mounted and used as a local repository. The ISO image contains a file system that contains only the latest (x86_64) ULN channel and cannot be used to update the database servers to any other release than release 11.2.3.1.1. ISO and instructions can be found here  Rene Kundersma

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  • Compute directional light frustum from view furstum points and light direction

    - by Fabian
    I'm working on a friends engine project and my task is to construct a new frustum from the light direction that overlaps the view frustum and possible shadow casters. The project already has a function that creates a frustum for this but its way to big and includes way to many casters (shadows) which can't be seen in the view frustum. Now the only parameter of this function are the normalized light direction vector and a view class which lets me extract the 8 view frustum points in world space. I don't have any additional infos about the scene. I have read some of the related Questions here but non seem to fit very well to my problem as they often just point to cascaded shadow maps. Sadly i can't use DX or openGl functions directly because this engine has a dedicated math library. From what i've read so far the steps are: Transform view frustum points into light space and find min/max x and y values (or sometimes minima and maxima of all three axis) and create a AABB using the min/max vectors. But what comes after this step? How do i transform this new AABB back to world space? What i've done so far: CVector3 Points[8], MinLight = CVector3(FLT_MAX), MaxLight = CVector3(FLT_MAX); for(int i = 0; i<8;++i){ Points[i] = Points[i] * WorldToShadowMapMatrix; MinLight = Math::Min(Points[i],MinLight); MaxLight = Math::Max(Points[i],MaxLight); } AABox box(MinLight,MaxLight); I don't think this is the right way to do it. The near plain probably has to extend into the direction of the light source to include potentional shadow casters. I've read the Microsoft article about cascaded shadow maps http://msdn.microsoft.com/en-us/library/windows/desktop/ee416307%28v=vs.85%29.aspx which also includes some sample code. But they seem to use the scenes AABB to determine the near and far plane which I can't since i cant access this information from the funtion I'm working in. Could you guys please link some example code which shows the calculation of such frustum? Thanks in advance! Additional questio: is there a way to construct a WorldToFrustum matrix that represents the above transformation?

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  • How do I define an implicit typecast from my class to a scalar?

    - by Delan Azabani
    I have the following code, which uses a Unicode string class from a library that I'm writing: #include <cstdio> #include "ucpp" main() { ustring a = "test"; ustring b = "ing"; ustring c = "- -"; ustring d; d = "cafe\xcc\x81"; printf("%s\n", (a + b + c[1] + d).encode()); } The encode method of the ustring class instances converts the internal Unicode into a UTF-8 char *. However, because I don't have access to the char class definition, I am unsure on how I can define an implicit typecast (so that I don't have to manually call encode when using with printf, etc).

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  • Unable to login to Amazon EC2 compute server

    - by MasterGaurav
    I am unable to login to the EC2 server. Here's the log of the connection-attempt: $ ssh -v -i ec2-key-incoleg-x002.pem [email protected] OpenSSH_5.6p1, OpenSSL 0.9.8p 16 Nov 2010 debug1: Reading configuration data /home/gvaish/.ssh/config debug1: Applying options for * debug1: Connecting to ec2-50-16-0-207.compute-1.amazonaws.com [50.16.0.207] port 22. debug1: Connection established. debug1: identity file ec2-key-incoleg-x002.pem type -1 debug1: identity file ec2-key-incoleg-x002.pem-cert type -1 debug1: identity file /home/gvaish/.ssh/id_rsa type -1 debug1: identity file /home/gvaish/.ssh/id_rsa-cert type -1 debug1: Remote protocol version 2.0, remote software version OpenSSH_5.3 debug1: match: OpenSSH_5.3 pat OpenSSH* debug1: Enabling compatibility mode for protocol 2.0 debug1: Local version string SSH-2.0-OpenSSH_5.6 debug1: SSH2_MSG_KEXINIT sent debug1: SSH2_MSG_KEXINIT received debug1: kex: server->client aes128-ctr hmac-md5 none debug1: kex: client->server aes128-ctr hmac-md5 none debug1: SSH2_MSG_KEX_DH_GEX_REQUEST(1024<1024<8192) sent debug1: expecting SSH2_MSG_KEX_DH_GEX_GROUP debug1: SSH2_MSG_KEX_DH_GEX_INIT sent debug1: expecting SSH2_MSG_KEX_DH_GEX_REPLY debug1: Host 'ec2-50-16-0-207.compute-1.amazonaws.com' is known and matches the RSA host key. debug1: Found key in /home/gvaish/.ssh/known_hosts:8 debug1: ssh_rsa_verify: signature correct debug1: SSH2_MSG_NEWKEYS sent debug1: expecting SSH2_MSG_NEWKEYS debug1: SSH2_MSG_NEWKEYS received debug1: Roaming not allowed by server debug1: SSH2_MSG_SERVICE_REQUEST sent debug1: SSH2_MSG_SERVICE_ACCEPT received debug1: Authentications that can continue: publickey debug1: Next authentication method: publickey debug1: Trying private key: ec2-key-incoleg-x002.pem debug1: read PEM private key done: type RSA debug1: Authentications that can continue: publickey debug1: Trying private key: /home/gvaish/.ssh/id_rsa debug1: No more authentication methods to try. Permission denied (publickey). What can be the possible reason? How do I fix the issue?

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  • compute sound FFT in Flex without playing it

    - by paleozogt
    Flex has the SoundMixer.computeSpectrum function that lets you compute an FFT from the currently playing sound. What I'd like to do is compute an FFT without playing the sound. Since Flash 10.1 lets us access the microphone bytes directly, it seems like I should be able to compute the FFT directly off of what the user is speaking.

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