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  • Oracle Honors Hitachi Data Systems with 2012 Taleo Customer Innovation Award

    - by Scott Ewart
    High-Tech Leader Recognized at Taleo World for its Strategic Initiative Aligning Talent, Performance and Revenues Oracle awarded the 2012 Taleo Customer Innovation Award to    Hitachi Data Systems (HDS), a wholly owned subsidiary of Hitachi, Ltd., for transforming performance management within its global sales organization with Oracle Taleo talent management solutions. The Taleo Innovation Awards honor and recognize Oracle Taleo customers that advance talent management initiatives using innovation, leadership and best practices. Oracle honored HDS along with finalists National Heritage Academies and CACI at a ceremony held September 13 at Taleo World in Chicago. Josh Bersin, President and CEO of Bersin & Associates, was the emcee for the ceremony. The honorees were selected from dozens of global submissions by a panel of influential industry analysts with expertise in talent management. To view the full story and press release, click here.

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  • Learning low latency C++ and Java?

    - by user997112
    I'm currently in a role where I dont get to write any C++ or Java. However, the role is good because provides me with exposure to the business side (i'm interested in finance). Eventually I would like to get into high frequency trading infrastructure. Therefore, outside of work hours i'd like to maximise the knowledge I can gain about high performance Java and C++. I already have the Java Performance Tuning book, which is ok but not impressive. Can people recommend anymore latency blogs/books/websites for learning about making C++/C/Java or even Unix very fast? Or perhaps making the network parts of the OS (if re-writing Unix components) faster? EDIT: Or perhaps we could make this THE thread for advice on writing fast code

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  • Is it possible that Unity would some day switch back to Mutter?

    - by David
    I remembered that the first Unity was indeed built on Mutter, but later ported to Compiz due to poor performance. I also know Canonical practically incorporated Compiz to work closely for future Unity, so this is getting less likely. But Compiz just seems pretty outdated now that GNOME3/GTK3/Mutter is becoming more mainstreamed, and it is known to deliver some performance issue, but on the other hand Mutter seems pretty good and is still steadily developing now, I'm just wondering if anyone related to the project is still testing and evaluating the possibility of Unity on Mutter? Not that you have to tell me now if you're going to do it or not. I just wanna know if anyone is considering it. Thanks.

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  • Apress Books - 3 - Pro ASP.NET 4 CMS (ISBN 987-1-4302-2712-0) - Final comments

    - by TATWORTH
    This book is more than just  a book about an ASP.NET CMS system -  it has much practical advice and examples for the Dot Net web developer. I liked the use of JQuery to detect that JavaScript was not enabled. One chapter was about MemCached - this one chapter could justify the price of the book if you run a server farm and need to improve performance. Some links to get you started are: Windows Memcache at http://code.jellycan.com/memcached/ Dot Net Access Library at http://sourceforge.net/projects/memcacheddotnet/ The chapters on scripting, performance analysis and search engne optimisation all provide excellent examples. This certainly is a book that should be part of every Dot Net Web Development team library. Congratulations to the author and to Apress for publishing this book!

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  • Oracle Unveils Breakthrough Technology: Database In-Memory

    - by Mala Narasimharajan
    Missed Larry Ellison's big announcement this morning? Today, Oracle announced . Oracle Database In-Memory.  Oracle Database In-Memory  transparently extends the power of Oracle Database 12c to enable organizations to discover business insights in real-time while simultaneously increasing transactional performance. Here's why you should care - this new breakthrough technology enables enterprises to get faster answers to business questions ultimately leading to faster business action. Oracle Database In-Memory delivers leading-edge in-memory performance without the need to restrict functionality or accept compromises, complexity and risk. Deploying Oracle Database In-Memory with virtually any existing Oracle Database-compatible application is as easy as flipping a switch--no application changes are required.  For more information on Oracle Database In-Memory go to http://www.oracle.com/us/corporate/press/2215795

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  • Newly installed 12.04 on Radeon or NVIDIA type of gfx card?

    - by Falk
    I use a Nvidia Quadro NVS 290/PCIe/SSE2 at work with dual monitor setup. Since 11.10 things has gone downwards with performance. But now with 12.04 performance is even worse, and I can agree that the 290 is old and puny. So when I look what low profile cards I can get to my computer today, the choice it Radeon HD 6570 or NVIDIA Quadro 600. I have always used Nvidia on linux beq I think that historically their drivers worked better. But which one do you recommend today on 12.04 and Unity3d? -- Regards Falk

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  • SQL Saturday #294 - Philadelphia

    SQL Saturday is coming to Philadelphia on June 7, 2014. This event is a free day of training and networking for SQL Server Professionals, organized by the Philadelphia SQL Server User Group. The event also features two paid-for Precons, one presented by Allan Hirt and the other presented jointly by Joseph D'Antoni and Stacia Misner. Register while space is available. FREE eBook – "45 Database Performance Tips for Developers"Improve your database performance with 45 tips from SQL Server MVPs and industry experts. Get the eBook here.

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  • Oracle R Enterprise 1.1 Download Available

    - by Sherry LaMonica
    Oracle just released the latest update to Oracle R Enterprise, version 1.1. This release includes the Oracle R Distribution (based on open source R, version 2.13.2), an improved server installation, and much more.  The key new features include: Extended Server Support: New support for Windows 32 and 64-bit server components, as well as continuing support for Linux 64-bit server components Improved Installation: Linux 64-bit server installation now provides robust status updates and prerequisite checks Performance Improvements: Improved performance for embedded R script execution calculations In addition, the updated ROracle package, which is used with Oracle R Enterprise, now reads date data by conversion to character strings. We encourage you download Oracle software for evaluation from the Oracle Technology Network. See these links for R-related software: Oracle R Distribution, Oracle R Enterprise, ROracle, Oracle R Connector for Hadoop.  As always, we welcome comments and questions on the Oracle R Forum.

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  • When should code favour optimization over readability and ease-of-use?

    - by jmlane
    I am in the process of designing a small library, where one of my design goals is that the API should be as close to the domain language as possible. While working on the design, I've noticed that there are some cases in the code where a more intuitive, readable attribute/method call requires some functionally unnecessary encapsulation. Since the final product will not necessarily require high performance, I am unconcerned about making the decision to favour ease-of-use in my current project over the most efficient implementation of the code in question. I know not to assume readability and ease-of-use are paramount in all expected use-cases, such as when performance is required. I would like to know if there are more general reasons that argue for a design preferring more efficient implementations—even if only marginally so?

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  • When should an API favour optimization over readability and ease-of-use?

    - by jmlane
    I am in the process of designing a small library, where one of my design goals is to use as much of the native domain language as possible in the API. While doing so, I've noticed that there are some cases in the API outline where a more intuitive, readable attribute/method call requires some functionally unnecessary encapsulation. Since the final product will not necessarily require high performance, I am unconcerned about making the decision to favour ease-of-use in my current project over the most efficient implementation of the code in question. I know not to assume readability and ease-of-use are paramount in all expected use-cases, such as when performance is required. I would like to know if there are more general reasons that argue for an API design preferring (marginally) more efficient implementations?

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  • New Exadata and Exalogic public references

    - by Javier Puerta
    The following are new public references for Exadata and Exalogic: Allegis Accelerates HR Processing for 130,000 Contractors  Oracle customer, Allegis, describes how Oracle Exadata and Oracle Exalogic helped consolidate and optimize critical processes running in Oracle's PeopleSoft.  Hyundai Motor Company Document Cuts Repository Management and Access Times Approximately 85%, Saves More Than US$1 Million in Yearly Printing and Paper Costs The company implemented Oracle Exalogic Elastic Cloud, Oracle Exadata Database Machine, Oracle WebLogic, and Oracle WebCenter Content 11g to ensure high performance and stability for its new document-centralization system  University of Minnesota Reduces Data Center Footprint while Enhancing Performance and Manageability with Oracle Exadata Database Machine   Leading Research Institution Consolidates More Than 200 Databases to Approximately 20 while Maximizing Availability for Thousands of Users SThree Prepares to Triple in Size with a Cloud-Based Architecture and a Consolidated, Stable, and Scalable Global Platform  By consolidating 68 databases into a single Oracle Exadata Database Machine, SThree achieved the stability and scalability it needed to support its growth targets. Further enhancements to the organization’s core systems include a planned upgrade for Siebel Contact Center and improved integration with Oracle Fusion Middleware.

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  • Recent Solaris Studio how-to articles

    - by unixman
    There were a few Oracle Solaris Studio articles published recently, check'em out! -How to Develop Code from a Remote Desktop with Oracle Solaris StudioThis article describes the remote desktop feature of the Oracle Solaris Studio IDE, and how to use it to compile, run, debug, and profile your code running on remote servers.-How to Use Remote Development in the IDEThis article describes the modes of remote development available in the Oracle Solaris Studio 12.3 IDE and how to choose the best one for your development environment.-Performance Tips for the Oracle Solaris Studio IDEThis article describes some tips and tricks to help you improve the performance of the Oracle Solaris Studio IDE.

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  • Increasing efficiency of N-Body gravity simulation

    - by Postman
    I'm making a space exploration type game, it will have many planets and other objects that will all have realistic gravity. I currently have a system in place that works, but if the number of planets goes above 70, the FPS decreases an practically exponential rates. I'm making it in C# and XNA. My guess is that I should be able to do gravity calculations between 100 objects without this kind of strain, so clearly my method is not as efficient as it should be. I have two files, Gravity.cs and EntityEngine.cs. Gravity manages JUST the gravity calculations, EntityEngine creates an instance of Gravity and runs it, along with other entity related methods. EntityEngine.cs public void Update() { foreach (KeyValuePair<string, Entity> e in Entities) { e.Value.Update(); } gravity.Update(); } (Only relevant piece of code from EntityEngine, self explanatory. When an instance of Gravity is made in entityEngine, it passes itself (this) into it, so that gravity can have access to entityEngine.Entities (a dictionary of all planet objects)) Gravity.cs namespace ExplorationEngine { public class Gravity { private EntityEngine entityEngine; private Vector2 Force; private Vector2 VecForce; private float distance; private float mult; public Gravity(EntityEngine e) { entityEngine = e; } public void Update() { //First loop foreach (KeyValuePair<string, Entity> e in entityEngine.Entities) { //Reset the force vector Force = new Vector2(); //Second loop foreach (KeyValuePair<string, Entity> e2 in entityEngine.Entities) { //Make sure the second value is not the current value from the first loop if (e2.Value != e.Value ) { //Find the distance between the two objects. Because Fg = G * ((M1 * M2) / r^2), using Vector2.Distance() and then squaring it //is pointless and inefficient because distance uses a sqrt, squaring the result simple cancels that sqrt. distance = Vector2.DistanceSquared(e2.Value.Position, e.Value.Position); //This makes sure that two planets do not attract eachother if they are touching, completely unnecessary when I add collision, //For now it just makes it so that the planets are not glitchy, performance is not significantly improved by removing this IF if (Math.Sqrt(distance) > (e.Value.Texture.Width / 2 + e2.Value.Texture.Width / 2)) { //Calculate the magnitude of Fg (I'm using my own gravitational constant (G) for the sake of time (I know it's 1 at the moment, but I've been changing it) mult = 1.0f * ((e.Value.Mass * e2.Value.Mass) / distance); //Calculate the direction of the force, simply subtracting the positions and normalizing works, this fixes diagonal vectors //from having a larger value, and basically makes VecForce a direction. VecForce = e2.Value.Position - e.Value.Position; VecForce.Normalize(); //Add the vector for each planet in the second loop to a force var. Force = Vector2.Add(Force, VecForce * mult); //I have tried Force += VecForce * mult, and have not noticed much of an increase in speed. } } } //Add that force to the first loop's planet's position (later on I'll instead add to acceleration, to account for inertia) e.Value.Position += Force; } } } } I have used various tips (about gravity optimizing, not threading) from THIS question (that I made yesterday). I've made this gravity method (Gravity.Update) as efficient as I know how to make it. This O(N^2) algorithm still seems to be eating up all of my CPU power though. Here is a LINK (google drive, go to File download, keep .Exe with the content folder, you will need XNA Framework 4.0 Redist. if you don't already have it) to the current version of my game. Left click makes a planet, right click removes the last planet. Mouse moves the camera, scroll wheel zooms in and out. Watch the FPS and Planet Count to see what I mean about performance issues past 70 planets. (ALL 70 planets must be moving, I've had 100 stationary planets and only 5 or so moving ones while still having 300 fps, the issue arises when 70+ are moving around) After 70 planets are made, performance tanks exponentially. With < 70 planets, I get 330 fps (I have it capped at 300). At 90 planets, the FPS is about 2, more than that and it sticks around at 0 FPS. Strangely enough, when all planets are stationary, the FPS climbs back up to around 300, but as soon as something moves, it goes right back down to what it was, I have no systems in place to make this happen, it just does. I considered multithreading, but that previous question I asked taught me a thing or two, and I see now that that's not a viable option. I've also thought maybe I could do the calculations on my GPU instead, though I don't think it should be necessary. I also do not know how to do this, it is not a simple concept and I want to avoid it unless someone knows a really noob friendly simple way to do it that will work for an n-body gravity calculation. (I have an NVidia gtx 660) Lastly I've considered using a quadtree type system. (Barnes Hut simulation) I've been told (in the previous question) that this is a good method that is commonly used, and it seems logical and straightforward, however the implementation is way over my head and I haven't found a good tutorial for C# yet that explains it in a way I can understand, or uses code I can eventually figure out. So my question is this: How can I make my gravity method more efficient, allowing me to use more than 100 objects (I can render 1000 planets with constant 300+ FPS without gravity calculations), and if I can't do much to improve performance (including some kind of quadtree system), could I use my GPU to do the calculations?

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  • Showing ZFS some LOVE

    - by Kristin Rose
    Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} L is for the way you look at us, and O because we’re Oracle, but V is very, very, extra ordinary, and E, well that’s obvious… E is because Oracle’s new Sun ZFS Storage Appliance is Excellent, and here at OPN, we like spell out the obvious!  If you haven’t already heard, the Sun ZFS Appliance has “A simple, GUI-driven setup and configuration, solid price-performance and world-class Oracle support behind it. The CRN Test Center recommends the Sun ZFS Storage”. Read more about what CRN said here. Oracle's Sun ZFS Appliance family delivers enterprise-class network attached storage (NAS) capabilities with leading Oracle integration, simplicity, efficiency, performance, and TCO.  The systems offer an easy way to manage and expand your storage environment at a lower cost, with more efficiency, better data integrity, and higher performance when compared with competitive NAS offerings. Did we mention that set up, including configuring, will take you less than an hour since it all comes in one box and is so darn simple to use? So if you L-O-V-E what you’re hearing about Oracle’s Sun Z-F-S, learn more by watching the video below, and visiting any of our available resources . It Had to Be You, The OPN Communications Team

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  • My computer freezes after some minutes while watching dvb tv from kaffeine but only when i use the cpu scaling utilities

    - by digitalcrow
    My computer freezes after some minutes while watching dvb tv from kaffeine but only when i use the cpu scaling utilities to enter cpu on performance mode. It freezes completely repeating a small sound loop from tv. cant go to terminal etc. I have a phenom II 3,40 ghz dualcore cpu , but i unlocked the other two cores so now its quadcore. On Windows i don't have any problems and i use the performance mode all the time and never breaks. I'm really dissapointed....

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  • 2D fighting bounding boxes

    - by user36420
    I'm prototyping a 2D platformer/brawler game for uni and I'm having some trouble with creating collision/bounding boxes. This is most likely going to end up on a Vita so I do have some library constraints as well as performance implications. None of this has yet been implemented but is all theory. My idea was to have the artist create a sprite sheet for the character animation and then a second identical sprite sheet with the corresponding collisions in a solid colour (e.g green for where the character can be hit and red for dealing damage, near the foot if kicking etc.) With this, I would then parse the collision sheet and generate the various collisions required storing them in the character model. This is the point I feel would be most inefficient. While I think this is a possible solution, I was wondering if there was a more standard way of doing this or a more efficient way as I feel this would have severe performance problems.

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  • One Week on New Servers and Everything is Great

    - by Jeff Julian
    It has been a week since we moved our Geekswithblogs.net System to a new set of load balanced servers and everything has been going great.  I am so amazed at the performance of the new hardware.  On average, we only use less than 5% of the CPU at any given moments or the database and web servers.  I have seen a performance boost in page load as well, but I will have to confirm that with the statistics as they roll in.  This is all in preparation for a new community we are launching with some friends that we will be announcing shortly.  We will be launching a nice little contest for our bloggers as well. Technorati Tags: Geekswithblogs.net,Hardware

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  • Configuring MySQL Cluster Data Nodes

    - by Mat Keep
    0 0 1 692 3948 Homework 32 9 4631 14.0 Normal 0 false false false EN-US JA X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:12.0pt; font-family:Cambria; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin; mso-ansi-language:EN-US;} In my previous blog post, I discussed the enhanced performance and scalability delivered by extensions to the multi-threaded data nodes in MySQL Cluster 7.2. In this post, I’ll share best practices on the configuration of data nodes to achieve optimum performance on the latest generations of multi-core, multi-thread CPU designs. Configuring the Data Nodes The configuration of data node threads can be managed in two ways via the config.ini file: - Simply set MaxNoOfExecutionThreads to the appropriate number of threads to be run in the data node, based on the number of threads presented by the processors used in the host or VM. - Use the new ThreadConfig variable that enables users to configure both the number of each thread type to use and also which CPUs to bind them too. The flexible configuration afforded by the multi-threaded data node enhancements means that it is possible to optimise data nodes to use anything from a single CPU/thread up to a 48 CPU/thread server. Co-locating the MySQL Server with a single data node can fully utilize servers with 64 – 80 CPU/threads. It is also possible to co-locate multiple data nodes per server, but this is now only required for very large servers with 4+ CPU sockets dense multi-core processors. 24 Threads and Beyond! An example of how to make best use of a 24 CPU/thread server box is to configure the following: - 8 ldm threads - 4 tc threads - 3 recv threads - 3 send threads - 1 rep thread for asynchronous replication. Each of those threads should be bound to a CPU. It is possible to bind the main thread (schema management domain) and the IO threads to the same CPU in most installations. In the configuration above, we have bound threads to 20 different CPUs. We should also protect these 20 CPUs from interrupts by using the IRQBALANCE_BANNED_CPUS configuration variable in /etc/sysconfig/irqbalance and setting it to 0x0FFFFF. The reason for doing this is that MySQL Cluster generates a lot of interrupt and OS kernel processing, and so it is recommended to separate activity across CPUs to ensure conflicts with the MySQL Cluster threads are eliminated. When booting a Linux kernel it is also possible to provide an option isolcpus=0-19 in grub.conf. The result is that the Linux scheduler won't use these CPUs for any task. Only by using CPU affinity syscalls can a process be made to run on those CPUs. By using this approach, together with binding MySQL Cluster threads to specific CPUs and banning CPUs IRQ processing on these tasks, a very stable performance environment is created for a MySQL Cluster data node. On a 32 CPU/Thread server: - Increase the number of ldm threads to 12 - Increase tc threads to 6 - Provide 2 more CPUs for the OS and interrupts. - The number of send and receive threads should, in most cases, still be sufficient. On a 40 CPU/Thread server, increase ldm threads to 16, tc threads to 8 and increment send and receive threads to 4. On a 48 CPU/Thread server it is possible to optimize further by using: - 12 tc threads - 2 more CPUs for the OS and interrupts - Avoid using IO threads and main thread on same CPU - Add 1 more receive thread. Summary As both this and the previous post seek to demonstrate, the multi-threaded data node extensions not only serve to increase performance of MySQL Cluster, they also enable users to achieve significantly improved levels of utilization from current and future generations of massively multi-core, multi-thread processor designs. A big thanks to Mikael Ronstrom, Senior MySQL Architect at Oracle, for his work in developing these enhancements and best practices. You can download MySQL Cluster 7.2 today and try out all of these enhancements. The Getting Started guides are an invaluable aid to quickly building a Proof of Concept Don’t forget to check out the MySQL Cluster 7.2 New Features whitepaper to discover everything that is new in the latest GA release

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