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  • Performance monitoring on Linux/Unix

    - by ervingsb
    I run a few Windows servers and (Debian and Ubuntu) Linux and AIX servers. I would like to continously monitor performance on these systems in order to easily identify bottlenecks as well as to have an overview of the general activity on the servers. On Windows, I use Windows Performance Monitor (perfmon) for this. I set up these counters: For bottlenecks: Processor utilization : System\Processor Queue Length Memory utilization : Memory\Pages Input/Sec Disk Utilization : PhysicalDisk\Current Disk Queue Length\driveletter Network problems: Network Interface\Output Queue Length\nic name For general activity: Processor utilization : Processor\% Processor Time_Total Memory utilization : Process\Working Set_Total (or per specific process) Memory utilization : Memory\Available MBytes Disk Utilization : PhysicalDisk\Bytes/sec_Total (or per process) Network Utilization : Network Interface\Bytes Total/Sec\nic name (More information on the choice of these counters on: http://itcookbook.net/blog/windows-perfmon-top-ten-counters ) This works really well. It allows me to look in one place and identify most common bottlenecks. So my question is, how can I do something equivalent (or just very similar) on Linux servers? I have looked a bit on nmon (http://www.ibm.com/developerworks/aix/library/au-analyze_aix/) which is a free performance monitoring tool developed for AIX but also availble for Linux. However, I am not sure if nmon allows me to set up the above counters. Maybe it is because Linux and AIX does not allow monitoring these exact same measures. Is so, which ones should I choose and why? If nmon is not the tool to use for this, then what do you recommend?

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  • SQL Server: One 12-drive RAID-10 array or 2 arrays of 8-drives and 4-drives

    - by ben
    Setting up a box for SQL Server 2008, which would give the best performance (heavy OLTP)? The more drives in a RAID-10 array the better performance, but will losing 4 drives to dedicate them to the transaction logs give us more performance. 12-drives in RAID-10 plus one hot spare. OR 8-drives in RAID-10 for database and 4-drives RAID-10 for transaction logs plus 2 hot spares (one for each array). We have 14-drive slots to work with and it's an older PowerVault that doesn't support global hot spares.

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  • Read only array, deep copy or retrieve copies one by one? (Performance and Memory)

    - by Arthur Wulf White
    In a garbage collection based system, what is the most effective way to handle a read only array if such a structure does not exist natively in the language. Is it better to return a copy of an array or allow other classes to retrieve copies of the objects stored in the array one by one? @JustinSkiles: It is not very broad. It is performance related and can actually be answered specifically for two general cases. You only need very few items: in this situation it's more effective to retrieve copies of the objects one by one. You wish to iterate over 30% or more objects. In this cases it is superior to retrieve all the array at once. This saves on functions calls. Function calls are very expansive when compared to reading directly from an array. A good specific answer could include performance, reading from an array and reading indirectly through a function. It is a simple performance related question.

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  • Google I/O 2011: Optimizing Android Apps with Google Analytics

    Google I/O 2011: Optimizing Android Apps with Google Analytics Nick Mihailovski, Philip Mui, Jim Cotugno Thousands of apps have taken advantage of Google Analytics' native Android tracking capabilities to improve the adoption and usability of Andriod Apps. This session covers best practices for tracking apps on mobile, TV and other devices. We'll also show you how to gain actionable insights from new tracking and reporting capabilities. From: GoogleDevelopers Views: 6819 34 ratings Time: 47:40 More in Science & Technology

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  • Book Review: Optimizing Windows 7 Pocket Consultant

    It is essential to optimize Windows 7 in order to make use of the features to its full potential. However, it is difficult to find and locate the various elements which require optimization. In this review, Anand examines the contents of Optimizing Windows 7 Pocket Consultant book authored by William Stanek. After reading the review, you will be in a position to judge whether the book will be suitable for you or not.

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  • Java: micro-optimizing array manipulation

    - by Martin Wiboe
    Hello all, I am trying to make a Java port of a simple feed-forward neural network. This obviously involves lots of numeric calculations, so I am trying to optimize my central loop as much as possible. The results should be correct within the limits of the float data type. My current code looks as follows (error handling & initialization removed): /** * Simple implementation of a feedforward neural network. The network supports * including a bias neuron with a constant output of 1.0 and weighted synapses * to hidden and output layers. * * @author Martin Wiboe */ public class FeedForwardNetwork { private final int outputNeurons; // No of neurons in output layer private final int inputNeurons; // No of neurons in input layer private int largestLayerNeurons; // No of neurons in largest layer private final int numberLayers; // No of layers private final int[] neuronCounts; // Neuron count in each layer, 0 is input // layer. private final float[][][] fWeights; // Weights between neurons. // fWeight[fromLayer][fromNeuron][toNeuron] // is the weight from fromNeuron in // fromLayer to toNeuron in layer // fromLayer+1. private float[][] neuronOutput; // Temporary storage of output from previous layer public float[] compute(float[] input) { // Copy input values to input layer output for (int i = 0; i < inputNeurons; i++) { neuronOutput[0][i] = input[i]; } // Loop through layers for (int layer = 1; layer < numberLayers; layer++) { // Loop over neurons in the layer and determine weighted input sum for (int neuron = 0; neuron < neuronCounts[layer]; neuron++) { // Bias neuron is the last neuron in the previous layer int biasNeuron = neuronCounts[layer - 1]; // Get weighted input from bias neuron - output is always 1.0 float activation = 1.0F * fWeights[layer - 1][biasNeuron][neuron]; // Get weighted inputs from rest of neurons in previous layer for (int inputNeuron = 0; inputNeuron < biasNeuron; inputNeuron++) { activation += neuronOutput[layer-1][inputNeuron] * fWeights[layer - 1][inputNeuron][neuron]; } // Store neuron output for next round of computation neuronOutput[layer][neuron] = sigmoid(activation); } } // Return output from network = output from last layer float[] result = new float[outputNeurons]; for (int i = 0; i < outputNeurons; i++) result[i] = neuronOutput[numberLayers - 1][i]; return result; } private final static float sigmoid(final float input) { return (float) (1.0F / (1.0F + Math.exp(-1.0F * input))); } } I am running the JVM with the -server option, and as of now my code is between 25% and 50% slower than similar C code. What can I do to improve this situation? Thank you, Martin Wiboe

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  • Optimizing performance of large ASP.NET applications

    - by NLV
    Hello, I'm building a asp.net web application with lots and lots of controls and huge volumes of data. My application is very slow and it is taking a large amount of time to load the data into the .net controls like grid, tree view etc. I also have some ajaxified pages and controls in my application. I want to reduce the page load time in each postbacks. What are the standards/best practices to be followed while developing large asp.net applications? Thank you. NLV

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  • Optimizing MySql query to avoid using "Using filesort"

    - by usef_ksa
    I need your help to optimize the query to avoid using "Using filesort".The job of the query is to select all the articles that belongs to specific tag. The query is: "select title from tag,article where tag='Riyad' AND tag.article_id=article.id order by tag.article_id". the tables structure are the following: Tag table CREATE TABLE `tag` ( `tag` VARCHAR( 30 ) NOT NULL , `article_id` INT NOT NULL , INDEX ( `tag` ) ) ENGINE = MYISAM ; Article table CREATE TABLE `article` ( `id` INT NOT NULL AUTO_INCREMENT PRIMARY KEY , `title` VARCHAR( 60 ) NOT NULL ) ENGINE = MYISAM Sample data INSERT INTO `article` VALUES (1, 'About Riyad'); INSERT INTO `article` VALUES (2, 'About Newyork'); INSERT INTO `article` VALUES (3, 'About Paris'); INSERT INTO `article` VALUES (4, 'About London'); INSERT INTO `tag` VALUES ('Riyad', 1); INSERT INTO `tag` VALUES ('Saudia', 1); INSERT INTO `tag` VALUES ('Newyork', 2); INSERT INTO `tag` VALUES ('USA', 2); INSERT INTO `tag` VALUES ('Paris', 3); INSERT INTO `tag` VALUES ('France', 3);

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  • Optimizing Haskell code

    - by Masse
    I'm trying to learn Haskell and after an article in reddit about Markov text chains, I decided to implement Markov text generation first in Python and now in Haskell. However I noticed that my python implementation is way faster than the Haskell version, even Haskell is compiled to native code. I am wondering what I should do to make the Haskell code run faster and for now I believe it's so much slower because of using Data.Map instead of hashmaps, but I'm not sure I'll post the Python code and Haskell as well. With the same data, Python takes around 3 seconds and Haskell is closer to 16 seconds. It comes without saying that I'll take any constructive criticism :). import random import re import cPickle class Markov: def __init__(self, filenames): self.filenames = filenames self.cache = self.train(self.readfiles()) picklefd = open("dump", "w") cPickle.dump(self.cache, picklefd) picklefd.close() def train(self, text): splitted = re.findall(r"(\w+|[.!?',])", text) print "Total of %d splitted words" % (len(splitted)) cache = {} for i in xrange(len(splitted)-2): pair = (splitted[i], splitted[i+1]) followup = splitted[i+2] if pair in cache: if followup not in cache[pair]: cache[pair][followup] = 1 else: cache[pair][followup] += 1 else: cache[pair] = {followup: 1} return cache def readfiles(self): data = "" for filename in self.filenames: fd = open(filename) data += fd.read() fd.close() return data def concat(self, words): sentence = "" for word in words: if word in "'\",?!:;.": sentence = sentence[0:-1] + word + " " else: sentence += word + " " return sentence def pickword(self, words): temp = [(k, words[k]) for k in words] results = [] for (word, n) in temp: results.append(word) if n > 1: for i in xrange(n-1): results.append(word) return random.choice(results) def gentext(self, words): allwords = [k for k in self.cache] (first, second) = random.choice(filter(lambda (a,b): a.istitle(), [k for k in self.cache])) sentence = [first, second] while len(sentence) < words or sentence[-1] is not ".": current = (sentence[-2], sentence[-1]) if current in self.cache: followup = self.pickword(self.cache[current]) sentence.append(followup) else: print "Wasn't able to. Breaking" break print self.concat(sentence) Markov(["76.txt"]) -- module Markov ( train , fox ) where import Debug.Trace import qualified Data.Map as M import qualified System.Random as R import qualified Data.ByteString.Char8 as B type Database = M.Map (B.ByteString, B.ByteString) (M.Map B.ByteString Int) train :: [B.ByteString] -> Database train (x:y:[]) = M.empty train (x:y:z:xs) = let l = train (y:z:xs) in M.insertWith' (\new old -> M.insertWith' (+) z 1 old) (x, y) (M.singleton z 1) `seq` l main = do contents <- B.readFile "76.txt" print $ train $ B.words contents fox="The quick brown fox jumps over the brown fox who is slow jumps over the brown fox who is dead."

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  • Optimizing MySQL for ALTER TABLE of InnoDB

    - by schuilr
    Sometime soon we will need to make schema changes to our production database. We need to minimize downtime for this effort, however, the ALTER TABLE statements are going to run for quite a while. Our largest tables have 150 million records, largest table file is 50G. All tables are InnoDB, and it was set up as one big data file (instead of a file-per-table). We're running MySQL 5.0.46 on an 8 core machine, 16G memory and a RAID10 config. I have some experience with MySQL tuning, but this usually focusses on reads or writes from multiple clients. There is lots of info to be found on the Internet on this subject, however, there seems to be very little information available on best practices for (temporarily) tuning your MySQL server to speed up ALTER TABLE on InnoDB tables, or for INSERT INTO .. SELECT FROM (we will probably use this instead of ALTER TABLE to have some more opportunities to speed things up a bit). The schema changes we are planning to do is adding a integer column to all tables and make it the primary key, instead of the current primary key. We need to keep the 'old' column as well so overwriting the existing values is not an option. What would be the ideal settings to get this task done as quick as possible?

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  • Optimizing a shared buffer in a producer/consumer multithreaded environment

    - by Etan
    I have some project where I have a single producer thread which writes events into a buffer, and an additional single consumer thread which takes events from the buffer. My goal is to optimize this thing for a single machine to achieve maximum throughput. Currently, I am using some simple lock-free ring buffer (lock-free is possible since I have only one consumer and one producer thread and therefore the pointers are only updated by a single thread). #define BUF_SIZE 32768 struct buf_t { volatile int writepos; volatile void * buffer[BUF_SIZE]; volatile int readpos;) }; void produce (buf_t *b, void * e) { int next = (b->writepos+1) % BUF_SIZE; while (b->readpos == next); // queue is full. wait b->buffer[b->writepos] = e; b->writepos = next; } void * consume (buf_t *b) { while (b->readpos == b->writepos); // nothing to consume. wait int next = (b->readpos+1) % BUF_SIZE; void * res = b->buffer[b->readpos]; b->readpos = next; return res; } buf_t *alloc () { buf_t *b = (buf_t *)malloc(sizeof(buf_t)); b->writepos = 0; b->readpos = 0; return b; } However, this implementation is not yet fast enough and should be optimized further. I've tried with different BUF_SIZE values and got some speed-up. Additionaly, I've moved writepos before the buffer and readpos after the buffer to ensure that both variables are on different cache lines which resulted also in some speed. What I need is a speedup of about 400 %. Do you have any ideas how I could achieve this using things like padding etc?

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  • Optimizing NSNumber numberWithInt:

    - by Riviera
    I am profiling an iPhone app and I noticed a strange pattern. In a certain block of code that's called quite frequently... [item setQuadrant:[NSNumber numberWithInt:a]]; [item setIndex:[NSNumber numberWithInt:b]]; [item setTimestamp:[NSNumber numberWithInt:c]]; [item setState:[NSNumber numberWithInt:d]]; [item setCompletionPercentage:[NSNumber numberWithInt:e]]; [item setId_:[NSNumber numberWithInt:f]]; ...the first call to [NSNumber numberWithInt:] takes an inordinate amount of time, in the order of 10-15x that of the remaining calls. I've verified that the results are consistent if I shuffle the lines (the first line is always the slow one, by the same ratio). Is there something going on that I'm not aware of? Perhaps this happens because this block is inside a try/catch?

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  • Optimizing landing pages

    - by Oleg Shaldybin
    In my current project (Rails 2.3) we have a collection of 1.2 million keywords, and each of them is associated with a landing page, which is effectively a search results page for a given keywords. Each of those pages is pretty complicated, so it can take a long time to generate (up to 2 seconds with a moderate load, even longer during traffic spikes, with current hardware). The problem is that 99.9% of visits to those pages are new visits (via search engines), so it doesn't help a lot to cache it on the first visit: it will still be slow for that visit, and the next visit could be in several weeks. I'd really like to make those pages faster, but I don't have too many ideas on how to do it. A couple of things that come to mind: build a cache for all keywords beforehand (with a very long TTL, a month or so). However, building and maintaing this cache can be a real pain, and the search results on the page might be outdated, or even no longer accessible; given the volatile nature of this data, don't try to cache anything at all, and just try to scale out to keep up with traffic. I'd really appreciate any feedback on this problem.

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  • Performance problems when running Java desktop applications on Citrix Metaframe

    - by demetriusnunes
    We have a desktop Java application running within a Citrix Metaframe server farm and the performance, specially while starting up the app, is very unreliable. Sometimes it takes 15 seconds and sometimes it takes over a minute. It's really unpredicatable. Is there any way to optimize running Java desktop applications within Citrix Metaframe Terminal server sessions to a more reliable performance level? Are there any optimization directed specifically toward Java, such as pre-load JVMs or something like that? Any help would be greatly appreciated.

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  • Need help diagnosing network performance issues

    - by tokes
    I am currently working in a developing country as a system analyst for a government department. My area of expertise is software projects, but I've come across a few issues with the network setup in my office. (Unfortunately, being a developing country, there's not a lot of professional help available for this sort of thing.) Most recently, I am trying to diagnose a problem with slowness on the network. Our office is connected to the internet via an ADSL wireless modem/router (called Router). The modem is connected via ethernet to a switch (called Switch). The modem also acts as a wireless access point (called Wireless1), though because it is in a room at the end of the floor, it's range is limited. There are ethernet ports installed around the office. The cables of these all lead back to the same switch. In closer vicinity to the bulk of the client computers, there is another wireless router that acts as an access point for those clients (called Wireless2). That router is connected via ethernet to a wall port, and therefore to Switch. There is also a Windows server which acts as a DNS server (called DNSBox) which is located in the same room and is connected directly to Switch. ---Internet----------| Router/Wireless1 192.168.10.1 ---------------| |----|=========| DNSBox | |-------------------- 192.168.10.4 --------------------| Switch |---Other clients---- | |-------------------- |----|=========| Wireless2 ------------------| 192.168.10.198 One final thing to mention about the network setup. All clients are configured with manual IP addresses. Their router/gateway is set to the IP address of Router, and their DNS server is set to the IP address of DNSBox (with a secondary IP set to an external IP - that of our ISP's DNS server). Here are the symptoms we are experiencing: Clients connected to Wireless2 AP experience slow and unstable connections to the internet. (Slow here is defined as speeds of ~1KB/s, though ping response times seem to be as normal.) Clients connected via ethernet to Switch also experience the same slowness. Clients connected to Wireless1 AP (i.e. connecting via wireless directly to the ADSL modem) experience normal connections to the internet. Clients connected via ethernet to Router (i.e. connecting via ethernet directly to the ADSL modem) also experience normal connections to the internet. I also tried to gauge the connection performance between two machines on the network via ethernet: A file transfer between two clients who were both directly connected to Switch was the fastest; A file transfer between one client directly connected to Switch, and one client directly connected to Router (which is directly connected to Switch) performed much slower; A file transfer between two clients directly connected to Router also performed slowly. Things I have attempted to diagnose the problem: Restarted Switch -- no change. We tried unplugging ethernet jacks from Switch 4 at a time and testing the internet connection. The thought here was that perhaps a client on the network has contracted a virus, and is possibly spamming the network with traffic? (Not very technical, I know.) Unfortunately we couldn't get any significant increases in performance using this method. There were a couple of times when it seemed to be better, but then the connection speed quickly dropped back to slow/dead pace. I didn't want to unplug all jacks from Switch because I was concerned that users might be affected or that I would re-plug in the jacks incorrectly (should I even be worried about that? a port is a port on a switch, right?) I tried swapping the ethernet cable used to connect Router to Switch -- no change in performance. I tried swapping the port used on Switch for Router -- no change in performance. Anyone got any ideas on what this could be? Should I be mentioning specific brand names/models of the hardware used? Virii outbreaks are common in this country/office -- what could I be doing to figure out if a virus is at fault? If it is a virus, it doesn't seem to be generating a lot of traffic to/from the internet, because a) I can still get a good speed if I am directly connected to Router / Wireless1 and b) our ISP data usage has not risen suspiciously. Thanks for your help! Update #1 Here are the specs of some of the hardware: Switch is an Edimax ES3132RL 32-Port 10/100 Rackmount Switch Router is a D-Link DSL-G604T Update #2 I just tried unplugging everything except a laptop and Router from Switch. Speeds are still slow. I guess that means that Router / Switch are not being flooded? It seems more and more likely that the cause is something to do with the interaction between Router and Switch. However, I still can't find any useful resources on setting the LAN speed for either (and I'm not well-versed in these advanced networking configurations).

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  • Slow performance by PHP directory operations on virtual machine (Ubuntu libvirt)

    - by thonixx
    Some days ago I installed an Ubuntu server and two running virtual machines with libvirt. Everything works fine except one performance problem. Everytime when I call a PHP script with directory operations the operations are very slow and not performant. Here is an example: http://zother.white-tiger.ch/ And here you see an example without a directory operation and how fast it is: http://michaeltanner.ch/ It's all on the same virtual server. The virtual machine uses 6 cores (8 are available) and 7500 megabytes RAM (8 Gigabyte are available). The disk image format is qcow2. How can I improve the performance?

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  • Performance Alert Writing to event Log but not running program

    - by TooFat
    I followed the instructions here How to create and configure performance alerts in Windows Server 2003 to set up an alert if the available logical disk space on one of my drives goes below a certain number. I selected the option to write to the application event log and select the "run this program" option and put in the path to a script that sends me an email. If I copy the path to the script and run it everything works and I get the email. When I start the alert I can see that the limit I set is being exceeded and the logs are being written to the application log, but the email is never being sent. I have the runas user and pword set to a Domain Admin. If I make the "run this program path" to C:\Windows\System32\calc.exe" it also doesn't start up the calculator. The Performance Logs and alerts services is running as Local Admin with allow to interact with desktop. What am I doing wrong?

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  • How to troubleshoot performance issues of PHP, MySQL and generic I/O

    - by jbx
    I have a WordPress based website running on a shared hosting. Its response time is very decent (around 2s to retrieve the HTML page and 5s to load all the resources). I was planning to move it to a dedicated virtual server (Ubuntu 12.04 LTS), which should theoretically improve things and make them more consistent given its not shared. However I observed severe performance degredation, with the page taking 10seconds to be generated. I ruled out network issues by editing /etc/hosts on the server and mapping the domain to 127.0.0.1. I used the Apache load tester ab to get the HTML, so JS, CSS and images are all excluded. It still took 10 seconds. I have Zpanel installed on the server which also uses MySQL, and its pages come up quite fast (1.5s) and also phpMyAdmin. Performing some queries on the wordpress database directly through phpMyAdmin returns them quite fast too, with query times in the 10 to 30 millisecond region. Memory is also sufficient, with only 800Mb being used of the 1Gb physical memory available, so it doesn't seem to be a swap issue either. I have also installed APC to try to improve the PHP performance, but it didn't have any effect. What else should I look for? What could be causing this degradation in performance? Could it be some kind of I/O issue since I am running on a cloud based virtual server? I wish to be able to raise the issue with my provider but without showing actual data from some diagnosis I am afraid he will just blame my application. UPDATE with sar output (every second) when I did an HTTP request: 02:31:29 CPU %user %nice %system %iowait %steal %idle 02:31:30 all 0.00 0.00 0.00 0.00 0.00 100.00 02:31:31 all 2.22 0.00 2.22 0.00 0.00 95.56 02:31:32 all 41.67 0.00 6.25 0.00 2.08 50.00 02:31:33 all 86.36 0.00 13.64 0.00 0.00 0.00 02:31:34 all 75.00 0.00 25.00 0.00 0.00 0.00 02:31:35 all 93.18 0.00 6.82 0.00 0.00 0.00 02:31:36 all 90.70 0.00 9.30 0.00 0.00 0.00 02:31:37 all 71.05 0.00 0.00 0.00 0.00 28.95 02:31:38 all 14.89 0.00 10.64 0.00 2.13 72.34 02:31:39 all 2.56 0.00 0.00 0.00 0.00 97.44 02:31:40 all 0.00 0.00 0.00 0.00 0.00 100.00 02:31:41 all 0.00 0.00 0.00 0.00 0.00 100.00 My suspicion that this comes from I/O related issue is also because a caching plugin I use to reduce the amount of queries to the database, by precompiling PHP pages is actually making things worse instead of better. It seems that file access is making things worse instead.

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  • VMWare Workstation Performance

    - by tekiegreg
    Hi there, awhile ago I upgraded my laptop to Windows 7 x64 from Windows XP 32 bit edition. However not before virtualizing the physical installation and I continue to run it under VMWare Workstation today. The performance on the resulting VM is just absolutely atrocious! I've done a lot of uninstalling stuff that's not longer needed since the machine is virtual in an effort to reduce RAM, but in general the responsiveness seems sluggish. I also run the Virtual Machine on it's own separate HD that is seldom used by the host OS. I'm just hoping for some general tips in increasing VMWare performance anywhere, thoughts? EDIT: Both of the below answers were excellent starting points for me. However I did like the selected answer's strategies on disk management. I am running the Virtual Machine in a separate external hard disk, likely I'm going to have to reconfigure somehow. Thanks all!

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  • Performance affects of compressing Program Files on Windows / NTFS

    - by SRobertJames
    What are the performance affects of compressing Program Files on Windows NTFS? On a fast, multicore machine, the overhead of decompression is minimal. Machines are generally disk bound, and if you can reduce the disk load by compression, you often speed things up. (Microsoft says that the built in compression of Windows Search indexes actually improves speed for this reason.) On the other hand, Windows' virtual memory is complicated. Perhaps if files are compressed, they can't be paged out simply. And there may be other issues. In short: On a fast, multicore machine with a relatively slow disk, what performance affects will compressing Program Files have?

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  • Verify server performance

    - by George Kesler
    I'm looking for a quick and SIMPLE way to verify that new servers are performing as expected. The most important metric is disk performance, second is network performance. I’m trying to prevent problems caused by misconfiguration of RAID arrays, NIC teaming etc. The solution should work with both physical and virtual servers. I don’t need sophisticated analysis with different workloads, just one set of benchmarks which I would run against a reference server and later compare to new ones. One problem is that most benchmarks are not giving accurate results when running on a VM.

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  • General video performance affected on Mac OSX 10.5 (PowerBook G4)

    - by r0ca
    Hi all, I'm quite new to Mac and I just got a PowerBook G4 for free. I installed OSX 10.5 on it and for the first two weeks, everything was going kinda smooth even if this is similar to a P3. I'm not expecting awsome video performance but at least be able to watch some videos from Youtube. Yesterday night, I installed Office 2008 for mac and this morning, even after a reboot, my computer is way much slower that I used to know. I watched a youtube video and the framerate was 1:1. I also noticed it on flash adds, it's way slower! Is there anything that I can do to increase video performance, see what's the process list running and taking more GPU or CPU, what's taking more ram and stuff like that?! What do you guys, Mac pros, would do on an old laptop with OSX 10.5 Thanks!

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  • Skyrim: Heavy Performance Issues after a couple of location changes

    - by Derija
    Okay, I've tried different solutions: ENB Series, removing certain mods, checking my FPS Rate, monitoring my resources, .ini tweaks. It's all just fine, I don't see what I'm missing. A couple of days ago, I bought Skyrim. Before I bought the game, I admit I had a pirated copy because my girlfriend actually wanted to buy me the game as a present, then said she didn't have enough money. Sick of waiting, I decided to buy the game by myself. The ridiculous part is, it worked better cracked than it does now uncracked. As the title suggests, after entering and leaving houses a couple of times, my performance obviously drops extremely. My build is just fine, Intel i5 quad core processor, NVIDIA GTX 560 Ti from Gigabyte, actually stock-OC, but manually downclocked to usual settings using appropriate Gigabyte software. This fixed the CTD issues I had before with both Skyrim and BF3. I have 4GB RAM. A website about Game Tweaks suggested that my HDD may be too slow. A screenshot of a Windows Performance Index sample with the subscription "This is likely to cause issues" showed the HDD with a performance index of 5.9, the exact same mine has, so I was playing with the thought to purchase an SSD instead, load games onto it that really need it like Skyrim, and hope it'd do the trick. Unfortunately, SSDs are likewise expensive, compared to "normal" HDDs... I'm really getting desperate about it. My save is gone because the patches made it impossible to load saves of the unpatched version and I already saved more than 80 times despite being only level 8, just because every time I interact with a door leading me to another location I'm scared the game will drop again. I can't even play for 30 mins straight anymore, it's just no fun at all. I've researched for a couple of days before I decided to post my question here. Any help is appreciated, I don't want to regret having bought the game... Since it actually is the best game I've played possibly for ever. Sincerely. P.S.: I don't think it's necessary to say, but still, of course I'm playing on PC. P.P.S.: After monitoring both my PC resources including CPU usage and HDD usage as well as the GPU usage, I don't see any changes even after the said event. P.P.P.S.: Original question posted here where I've been advised to ask here.

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