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  • What kind of CPU/GPU integration is offered by APUs?

    - by clabacchio
    I'm truly fascinated by the idea of GPGPU and using the GPU for heavy processing. I'm seeing that also APUs (Accelerated Processing Units, CPU+GPU on the same chip) are gaining a consistent popularity. Are all of the APUs using a GPGPU? Can it be used for processing? And is it seamless or it requires special code (like Cuda) to have the hard work made by the GPU? I'm not interested in bare graphic performance, but more about how much the GPU can accelerate the "normal" CPU work.

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  • Blackberry Won't Sync: Says Processing

    - by Noah
    I have a blackberry storm 2 and I have it set up to sync, just like I've done with all the other ones in the company. They pull the address book/contacts from outlook, and aren't synced to an exchange server. I have everything setup and then when I hit synchronize it flashes "processing" the phone shows it trying to sync and then it is done in less than a second. It did warn me that the computer was not supplying enough power to charge the device and it said that I should make sure the drivers are correct. Also, I was warned that the device might not function properly down in the bottom right hand corner. Any ideas? I've uninstalled and reinstalled the blackberry software off the disc.

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  • Processing files from a Content Distribution Network problem

    - by Derek
    From what I understand that CDNs are meant to physically cache your static files in multiple regions closer to your users. However, I've noticed a few websites that when a page is requested from their server, they grab the asset files from their cdn, process them (compress, minify, etc.) cache the results on their server and then send them to the user requesting the page. This doesn't make too much sense to me. Wouldn't processing the files on your server eliminate the gains from using a cdn? Is this a normal way of doing things, or am I not understanding the whole asset management concept?

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  • Building a workstation computer for Image processing? [closed]

    - by echolab
    I am taking a gigapixel image my goal is 50gigapixel and shooting is almost done , i am doing some research to build a workstation so i can stitch images together , my questions is ! Could u suggest some dual cpu mainboard that works fine with xeon 5500+ , with 64GB+ ram support ? My other question is which hardware is most important in image processing , all i see in story of gigapixel panoramas is they have dual xeon and 32gb+ ram ? i wonder if i am doing this right , i mean they don't post information on graphic card , mainboard and stuff ! I did asked several websites , but nothing best answer was get some high-end workstation and plenty of hours , i don't want to purchase ready to use workstations, i wanna build it up Thanks in advance

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  • Partition Wise Joins

    - by jean-pierre.dijcks
    Some say they are the holy grail of parallel computing and PWJ is the basis for a shared nothing system and the only join method that is available on a shared nothing system (yes this is oversimplified!). The magic in Oracle is of course that is one of many ways to join data. And yes, this is the old flexibility vs. simplicity discussion all over, so I won't go there... the point is that what you must do in a shared nothing system, you can do in Oracle with the same speed and methods. The Theory A partition wise join is a join between (for simplicity) two tables that are partitioned on the same column with the same partitioning scheme. In shared nothing this is effectively hard partitioning locating data on a specific node / storage combo. In Oracle is is logical partitioning. If you now join the two tables on that partitioned column you can break up the join in smaller joins exactly along the partitions in the data. Since they are partitioned (grouped) into the same buckets, all values required to do the join live in the equivalent bucket on either sides. No need to talk to anyone else, no need to redistribute data to anyone else... in short, the optimal join method for parallel processing of two large data sets. PWJ's in Oracle Since we do not hard partition the data across nodes in Oracle we use the Partitioning option to the database to create the buckets, then set the Degree of Parallelism (or run Auto DOP - see here) and get our PWJs. The main questions always asked are: How many partitions should I create? What should my DOP be? In a shared nothing system the answer is of course, as many partitions as there are nodes which will be your DOP. In Oracle we do want you to look at the workload and concurrency, and once you know that to understand the following rules of thumb. Within Oracle we have more ways of joining of data, so it is important to understand some of the PWJ ideas and what it means if you have an uneven distribution across processes. Assume we have a simple scenario where we partition the data on a hash key resulting in 4 hash partitions (H1 -H4). We have 2 parallel processes that have been tasked with reading these partitions (P1 - P2). The work is evenly divided assuming the partitions are the same size and we can scan this in time t1 as shown below. Now assume that we have changed the system and have a 5th partition but still have our 2 workers P1 and P2. The time it takes is actually 50% more assuming the 5th partition has the same size as the original H1 - H4 partitions. In other words to scan these 5 partitions, the time t2 it takes is not 1/5th more expensive, it is a lot more expensive and some other join plans may now start to look exciting to the optimizer. Just to post the disclaimer, it is not as simple as I state it here, but you get the idea on how much more expensive this plan may now look... Based on this little example there are a few rules of thumb to follow to get the partition wise joins. First, choose a DOP that is a factor of two (2). So always choose something like 2, 4, 8, 16, 32 and so on... Second, choose a number of partitions that is larger or equal to 2* DOP. Third, make sure the number of partitions is divisible through 2 without orphans. This is also known as an even number... Fourth, choose a stable partition count strategy, which is typically hash, which can be a sub partitioning strategy rather than the main strategy (range - hash is a popular one). Fifth, make sure you do this on the join key between the two large tables you want to join (and this should be the obvious one...). Translating this into an example: DOP = 8 (determined based on concurrency or by using Auto DOP with a cap due to concurrency) says that the number of partitions >= 16. Number of hash (sub) partitions = 32, which gives each process four partitions to work on. This number is somewhat arbitrary and depends on your data and system. In this case my main reasoning is that if you get more room on the box you can easily move the DOP for the query to 16 without repartitioning... and of course it makes for no leftovers on the table... And yes, we recommend up-to-date statistics. And before you start complaining, do read this post on a cool way to do stats in 11.

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  • SQL Server connection string Asynchronous Processing=true

    - by George2
    Hello everyone, I am using .Net 2.0 + SQL Server 2005 Enterprise + VSTS 2008 + C# + ADO.Net to develop ASP.Net Web application. My question is, if I am using Asynchronous Processing=true with SQL Server authentication mode (not Windows authentication mode, i.e. using sa account and password in connection string in web.config), I am wondering whether Asynchronous Processing=true will impact performance of my web application (or depends on my ADO.Net code implementation pattern/scenario)? And why? thanks in advance, George

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  • WPF Animation / Processing priority

    - by Matt B
    Hi all, I have a button which has an animation (in xaml) on it's click event. Cool so far. Problem is that I also have processing occurring on the click event (so I can do stuff) - and this occurs first. How do I prioritise or re-order so that the animation takes place before any custom processing... Thanks.

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  • jGrowl with asp.net server side processing

    - by Mike
    Hi, Is it possible to create a new thread in asp.net to do some processing, and then upon completion, set a flag so that when the user requests the next page, I can insert some extra text or code to perform some notification? Or if it is possible to send some text to the browser after the request has completed? For example jGrowl would be great to have a notification after some processing has been performed. Thanks

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  • Rails 3 Processing by */*

    - by Maestro
    I have noticed that in Rails 3.2.2, all actions are being processed with */* format. So the question is: what means */* ? And why it is called by default (every time) ? Because there are two processings for one action: Started GET "/" for 127.0.0.1 at 2012-07-07 22:50:22 +0200 Processing by MainController#index as HTML Started GET "/" for 127.0.0.1 at 2012-07-07 22:50:22 +0200 Processing by MainController#index as */* I have tried to set: respond_to :html def index @posts = Post.all respond_with(@posts) end But the same problem still exists.

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  • Ajax Content Loading(Processing) image or indicator

    - by Arny
    Hi there, in part of my web page, I have couple of asp:image Thumbnails, onclick I use ajax modal popup extender to show the imgae in full size which are working fine, what I need to add is to have a processing image or indicator both in thumbnail and modal popup extender, I also have ajax autocomplete that is working fine, I need to add some indicator or processing image to it as soon as user start typing a word. any idea? Thanks in advance

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  • Signal processing or algorithmic programming for a PLC

    - by james singen smythe
    I have an application that takes voltages and temperatures as analog inputs and does some processing using an algorithm which involves signal processing such as low-pass filtering, exponential smoothing, and other steps which might typically be done in a high-level programming language such as C or C++. I'm curious how I could perform these same steps using a PLC, and in particular, the Allen-Bradley Control-Logix system? It seems to me that the instruction set with ladder logic is too limited for this. Could I perform this using structured text?

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  • Natural Language Processing in Ruby

    - by Joey Robert
    I'm looking to do some sentence analysis (mostly for twitter apps) and infer some general characteristics. Are there any good natural language processing libraries for this sort of thing in Ruby? Similar to http://stackoverflow.com/questions/870460/java-is-there-a-good-natural-language-processing-library but for Ruby. I'd prefer something very general, but any leads are appreciated!

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  • Dynamically refresh JTextArea as processing occurs?

    - by digiarnie
    I am trying to create a very simple Swing UI that logs information onto the screen via a JTextArea as processing occurs in the background. When the user clicks a button, I want each call to: textArea.append(someString + "\n"); to immediately show up in the UI. At the moment, the JTextArea does not show all log information until the processing has completed after clicking the button. How can I get it to refresh dynamically?

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  • Definition of Connect, Processing, Waiting in apache bench.

    - by rpatel
    When I run apache bench I get results like: Command: abs.exe -v 3 -n 10 -c 1 https://mysite Connection Times (ms) min mean[+/-sd] median max Connect: 203 213 8.1 219 219 Processing: 78 177 88.1 172 359 Waiting: 78 169 84.6 156 344 Total: 281 389 86.7 391 563 I can't seem to find the definition of Connect, Processing and Waiting. What do those numbers mean?

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  • Very long (>300s) request processing time on Apache Server serving static content from particular IP

    - by Ron Bieber
    We are running an Apache 2.2 server for a very large web site. Over the past few months we have been having some users reporting slow response times, while others (including our resources, both on the internal network and our home networks) do not see any degradation in performance. After a ton of investigation, we finally found a "Deny from none" statement in our configuration that was causing reverse DNS lookups (which were timing out) that solved the bulk of our issues, but we still have some customers that we are seeing in the Apache logs (using %D in the log format) with request processing times of 300s for images, css, javascript and other static content. We've checked all Deny / Allow statements for reoccurrence of "none", as well as all other things we know of that would cause reverse DNS lookups (such as using "REMOTE_HOST" in rewrite rules, using %a instead of %h in our log format configuration) as well as verified that HostnameLookups is set to "Off". As an aside, we've also validated that reverse DNS lookups for folks having this problem do not time out - so I'm fairly certain DNS is not an issue in this case. I've run out of ideas. Are there any Apache configuration scenarios that someone can point me to that I might be missing that would cause request times for static content to take so long only for certain users? Thank you in advance.

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  • .NET not processing an XML file in IIS

    - by Stuart McIntosh
    We have 2 servers, 1 already configured with .net which works fine and a new one which appears to be configured the same but when I open an xml page in Internet Explorer it complains about the <% tag. We have IIS on win srvr 2003 SP2. The website is configured with .NET 1.1.4322. In ISAPI extensions have set the .XML extension to use c:\windows\microsoft.net\framework\v1.1.4322\aspnet_isapi.dll But the page: <property name="documentmaxage" value="0"/> <property name="documentmaxstale" value="0"/> <var name="m_Prompt_Path" /> <form id="InitVoiceXmlDoc"> <block> <assign name="m_Prompt_Path" expr="&quot;<% Response.Write(Request.QueryString["m_Prompt_Path"]); %>&quot;"/> </block> </form> gives the error: The XML page cannot be displayed Cannot view XML input using XSL style sheet. Please correct the error and then click the Refresh button, or try again later. The character '<' cannot be used in an attribute value. Error processing resource 'http://localhost:11119/fails.xml'. Lin... &quo... We have the same config on another server which works fine. So are there other options apart from the ISAPI extensions that I need to look at. If I suffix the page .aspx, of course it works fine.

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  • Node.js vs PHP processing speed

    - by Cody Craven
    I've been looking into node.js recently and wanted to see a true comparison of processing speed for PHP vs Node.js. In most of the comparisons I had seen, Node trounced Apache/PHP set ups handily. However all of the tests were small 'hello worlds' that would not accurately reflect any webpage's markup. So I decided to create a basic HTML page with 10,000 hello world paragraph elements. In these tests Node with Cluster was beaten to a pulp by PHP on Nginx utilizing PHP-FPM. So I'm curious if I am misusing Node somehow or if Node is really just this bad at processing power. Note that my results were equivalent outputting "Hello world\n" with text/plain as the HTML, but I only included the HTML as it's closer to the use case I was investigating. My testing box: Core i7-2600 Intel CPU (has 8 threads with 4 cores) 8GB DDR3 RAM Fedora 16 64bit Node.js v0.6.13 Nginx v1.0.13 PHP v5.3.10 (with PHP-FPM) My test scripts: Node.js script var cluster = require('cluster'); var http = require('http'); var numCPUs = require('os').cpus().length; if (cluster.isMaster) { // Fork workers. for (var i = 0; i < numCPUs; i++) { cluster.fork(); } cluster.on('death', function (worker) { console.log('worker ' + worker.pid + ' died'); }); } else { // Worker processes have an HTTP server. http.Server(function (req, res) { res.writeHead(200, {'Content-Type': 'text/html'}); res.write('<html>\n<head>\n<title>Speed test</title>\n</head>\n<body>\n'); for (var i = 0; i < 10000; i++) { res.write('<p>Hello world</p>\n'); } res.end('</body>\n</html>'); }).listen(80); } This script is adapted from Node.js' documentation at http://nodejs.org/docs/latest/api/cluster.html PHP script <?php echo "<html>\n<head>\n<title>Speed test</title>\n</head>\n<body>\n"; for ($i = 0; $i < 10000; $i++) { echo "<p>Hello world</p>\n"; } echo "</body>\n</html>"; My results Node.js $ ab -n 500 -c 20 http://speedtest.dev/ This is ApacheBench, Version 2.3 <$Revision: 655654 $> Copyright 1996 Adam Twiss, Zeus Technology Ltd, http://www.zeustech.net/ Licensed to The Apache Software Foundation, http://www.apache.org/ Benchmarking speedtest.dev (be patient) Completed 100 requests Completed 200 requests Completed 300 requests Completed 400 requests Completed 500 requests Finished 500 requests Server Software: Server Hostname: speedtest.dev Server Port: 80 Document Path: / Document Length: 190070 bytes Concurrency Level: 20 Time taken for tests: 14.603 seconds Complete requests: 500 Failed requests: 0 Write errors: 0 Total transferred: 95066500 bytes HTML transferred: 95035000 bytes Requests per second: 34.24 [#/sec] (mean) Time per request: 584.123 [ms] (mean) Time per request: 29.206 [ms] (mean, across all concurrent requests) Transfer rate: 6357.45 [Kbytes/sec] received Connection Times (ms) min mean[+/-sd] median max Connect: 0 0 0.2 0 2 Processing: 94 547 405.4 424 2516 Waiting: 0 331 399.3 216 2284 Total: 95 547 405.4 424 2516 Percentage of the requests served within a certain time (ms) 50% 424 66% 607 75% 733 80% 813 90% 1084 95% 1325 98% 1843 99% 2062 100% 2516 (longest request) PHP/Nginx $ ab -n 500 -c 20 http://speedtest.dev/test.php This is ApacheBench, Version 2.3 <$Revision: 655654 $> Copyright 1996 Adam Twiss, Zeus Technology Ltd, http://www.zeustech.net/ Licensed to The Apache Software Foundation, http://www.apache.org/ Benchmarking speedtest.dev (be patient) Completed 100 requests Completed 200 requests Completed 300 requests Completed 400 requests Completed 500 requests Finished 500 requests Server Software: nginx/1.0.13 Server Hostname: speedtest.dev Server Port: 80 Document Path: /test.php Document Length: 190070 bytes Concurrency Level: 20 Time taken for tests: 0.130 seconds Complete requests: 500 Failed requests: 0 Write errors: 0 Total transferred: 95109000 bytes HTML transferred: 95035000 bytes Requests per second: 3849.11 [#/sec] (mean) Time per request: 5.196 [ms] (mean) Time per request: 0.260 [ms] (mean, across all concurrent requests) Transfer rate: 715010.65 [Kbytes/sec] received Connection Times (ms) min mean[+/-sd] median max Connect: 0 0 0.2 0 1 Processing: 3 5 0.7 5 7 Waiting: 1 4 0.7 4 7 Total: 3 5 0.7 5 7 Percentage of the requests served within a certain time (ms) 50% 5 66% 5 75% 5 80% 6 90% 6 95% 6 98% 6 99% 6 100% 7 (longest request) Additional details Again what I'm looking for is to find out if I'm doing something wrong with Node.js or if it is really just that slow compared to PHP on Nginx with FPM. I certainly think Node has a real niche that it could fit well, however with these test results (which I really hope I made a mistake with - as I like the idea of Node) lead me to believe that it is a horrible choice for even a modest processing load when compared to PHP (let alone JVM or various other fast solutions). As a final note, I also tried running an Apache Bench test against node with $ ab -n 20 -c 20 http://speedtest.dev/ and consistently received a total test time of greater than 0.900 seconds.

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  • Reminder: For a Complete View Of Your Concurrent Processing Take A Look At The CP Analyzer!

    - by LuciaC
    For a complete view of your Concurrent Processing take a look at the CP Analyzer!  Doc ID 1411723.1 has the script to download and a 9 min video. The Concurrent Processing Analyzer is a Self-Service Health-Check script which reviews the overall Concurrent Processing Footprint, analyzes the current configurations and settings for the environment providing feedback and recommendations on Best Practices.This is a non-invasive script which provides recommended actions to be performed on the instance it was run on.  For production instances, always apply any changes to a recent clone to ensure an expected outcome. E-Business Applications Concurrent Processing Analyzer Overview E-Business Applications Concurrent Request Analysis E-Business Applications Concurrent Manager Analysis Identifies Concurrent System Setup and configurations Identifies and recommends Concurrent Best Practices Easy to add Tool for regular Concurrent Maintenance Execute Analysis anytime to compare trending from past outputs Feedback welcome!

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  • Distributed and/or Parallel SSIS processing

    - by Jeff
    Background: Our company hosts SaaS DSS applications, where clients provide us data Daily and/or Weekly, which we process & merge into their existing database. During business hours, load in the servers are pretty minimal as it's mostly users running simple pre-defined queries via the website, or running drill-through reports that mostly hit the SSAS OLAP cube. I manage the IT Operations Team, and so far this has presented an interesting "scaling" issue for us. For our daily-refreshed clients, the server is only "busy" for about 4-6 hrs at night. For our weekly-refresh clients, the server is only "busy" for maybe 8-10 hrs per week! We've done our best to use some simple methods of distributing the load by spreading the daily clients evenly among the servers such that we're not trying to process daily clients back-to-back over night. But long-term this scaling strategy creates two notable issues. First, it's going to consume a pretty immense amount of hardware that sits idle for large periods of time. Second, it takes significant Production Support over-head to basically "schedule" the ETL such that they don't over-lap, and move clients/schedules around if they out-grow the resources on a particular server or allocated time-slot. As the title would imply, one option we've tried is running multiple SSIS packages in parallel, but in most cases this has yielded VERY inconsistent results. The most common failures are DTExec, SQL, and SSAS fighting for physical memory and throwing out-of-memory errors, and ETLs running 3,4,5x longer than expected. So from my practical experience thus far, it seems like running multiple ETL packages on the same hardware isn't a good idea, but I can't be the first person that doesn't want to scale multiple ETLs around manual scheduling, and sequential processing. One option we've considered is virtualizing the servers, which obviously doesn't give you any additional resources, but moves the resource contention onto the hypervisor, which (from my experience) seems to manage simultaneous CPU/RAM/Disk I/O a little more gracefully than letting DTExec, SQL, and SSAS battle it out within Windows. Question to the forum: So my question to the forum is, are we missing something obvious here? Are there tools out there that can help manage running multiple SSIS packages on the same hardware? Would it be more "efficient" in terms of parallel execution if instead of running DTExec, SQL, and SSAS same machine (with every machine running that configuration), we run in pairs of three machines with SSIS running on one machine, SQL on another, and SSAS on a third? Obviously that would only make sense if we could process more than the three ETL we were able to process on the machine independently. Another option we've considered is completely re-architecting our SSIS package to have one "master" package for all clients that attempts to intelligently chose a server based off how "busy" it already is in terms of CPU/Memory/Disk utilization, but that would be a herculean effort, and seems like we're trying to reinvent something that you would think someone would sell (although I haven't had any luck finding it). So in summary, are we missing an obvious solution for this, and does anyone know if any tools (for free or for purchase, doesn't matter) that facilitate running multiple SSIS ETL packages in parallel and on multiple servers? (What I would call a "queue & node based" system, but that's not an official term). Ultimately VMWare's Distributed Resource Scheduler addresses this as you simply run a consistent number of clients per VM that you know will never conflict scheduleing-wise, then leave it up to VMWare to move the VMs around to balance out hardware usage. I'm definitely not against using VMWare to do this, but since we're a 100% Microsoft app stack, it seems like -someone- out there would have solved this problem at the application layer instead of the hypervisor layer by checking on resource utilization at the OS, SQL, SSAS levels. I'm open to ANY discussion on this, and remember no suggestion is too crazy or radical! :-) Right now, VMWare is the only option we've found to get away from "manually" balancing our resources, so any suggestions that leave us on a pure Microsoft stack would be great. Thanks guys, Jeff

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  • Asynchronous daemon processing / ORM interaction with Django

    - by perrierism
    I'm looking for a way to do asynchronous data processing with a daemon that uses Django ORM. However, the ORM isn't thread-safe; it's not thread-safe to try to retrieve / modify django objects from within threads. So I'm wondering what the correct way to achieve asynchrony is? Basically what I need to accomplish is taking a list of users in the db, querying a third party api and then making updates to user-profile rows for those users. As a daemon or background process. Doing this in series per user is easy, but it takes too long to be at all scalable. If the daemon is retrieving and updating the users through the ORM, how do I achieve processing 10-20 users at a time? I would use a standard threading / queue system for this but you can't thread interactions like models.User.objects.get(id=foo) ... Django itself is an asynchronous processing system which makes asynchronous ORM calls(?) for each request, so there should be a way to do it? I haven't found anything in the documentation so far. Cheers

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  • C# Process Binary File, Multi-Thread Processing

    - by washtik
    I have the following code that processes a binary file. I want to split the processing workload by using threads and assigning each line of the binary file to threads in the ThreadPool. Processing time for each line is only small but when dealing with files that might contain hundreds of lines, it makes sense to split the workload. My question is regarding the BinaryReader and thread safety. First of all, is what I am doing below acceptable. I have a feeling it would be better to pass only the binary for each line to the PROCESS_Binary_Return_lineData method. Please note the code below is conceptual. I looking for a but of guidance on this as my knowledge of multi-threading is in its infancy. Perhaps there is a better way to achieve the same result, i.e. split processing of each binary line. var dic = new Dictionary<DateTime, Data>(); var resetEvent = new ManualResetEvent(false); using (var b = new BinaryReader(File.Open(Constants.dataFile, FileMode.Open, FileAccess.Read, FileShare.Read))) { var lByte = b.BaseStream.Length; var toProcess = 0; while (lByte >= DATALENGTH) { b.BaseStream.Position = lByte; lByte = lByte - AB_DATALENGTH; ThreadPool.QueueUserWorkItem(delegate { Interlocked.Increment(ref toProcess); var lineData = PROCESS_Binary_Return_lineData(b); lock(dic) { if (!dic.ContainsKey(lineData.DateTime)) { dic.Add(lineData.DateTime, lineData); } } if (Interlocked.Decrement(ref toProcess) == 0) resetEvent.Set(); }, null); } } resetEvent.WaitOne();

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  • how to disable RemoteApp sessions lock if idle for 10 minutes and require no user needs to input password to unlock?

    - by Carlos Sanchez
    RemoteApp sessions lock if idle for 10 minutes, user needs to input password to unlock. My users are running an application from Win2008 Terminal server using RemoteApp. If the application remains idle for 10 minutes it gets "locked" and the user is required to enter username and password to continue using it. This is VERY VERY annoying as the app usually sits idle for bout 20-30 minutes, used for 1 min... repeat.

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  • Postmaster uses excessive CPU and Disk Writes

    - by wolfcastle
    using PostgreSQL 9.1.2 I'm seeing excessive CPU usage and large amounts of writes to disk from postmaster tasks. This happens even while my application is doing almost nothing (10s of inserts per MINUTE). There are a reasonable number of connections open however. I've been trying to determine what in my application is causing this. I'm pretty newb with postgresql, and haven't gotten anywhere so far. I've turned on some logging options in my config file, and looked at connections in the pg_stat_activity table, but they are all idle. Yet each connection consumes ~ 50% CPU, and is writing ~15M/s to disk (reading nothing). I'm basically using the stock postgresql.conf with very little tweaks. I'd appreciate any advice or pointers on what I can do to track this down. Here is a sample of what top/iotop is showing me: Cpu(s): 18.9%us, 14.4%sy, 0.0%ni, 53.4%id, 11.8%wa, 0.0%hi, 1.5%si, 0.0%st Mem: 32865916k total, 7263720k used, 25602196k free, 575608k buffers Swap: 16777208k total, 0k used, 16777208k free, 4464212k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 17057 postgres 20 0 236m 33m 13m R 45.0 0.1 73:48.78 postmaster 17188 postgres 20 0 219m 15m 11m R 42.3 0.0 61:45.57 postmaster 17963 postgres 20 0 219m 16m 11m R 42.3 0.1 27:15.01 postmaster 17084 postgres 20 0 219m 15m 11m S 41.7 0.0 63:13.64 postmaster 17964 postgres 20 0 219m 17m 12m R 41.7 0.1 27:23.28 postmaster 18688 postgres 20 0 219m 15m 11m R 41.3 0.0 63:46.81 postmaster 17088 postgres 20 0 226m 24m 12m R 41.0 0.1 64:39.63 postmaster 24767 postgres 20 0 219m 17m 12m R 41.0 0.1 24:39.24 postmaster 18660 postgres 20 0 219m 14m 9.9m S 40.7 0.0 60:51.52 postmaster 18664 postgres 20 0 218m 15m 11m S 40.7 0.0 61:39.61 postmaster 17962 postgres 20 0 222m 19m 11m S 40.3 0.1 11:48.79 postmaster 18671 postgres 20 0 219m 14m 9m S 39.4 0.0 60:53.21 postmaster 26168 postgres 20 0 219m 15m 10m S 38.4 0.0 59:04.55 postmaster Total DISK READ: 0.00 B/s | Total DISK WRITE: 195.97 M/s TID PRIO USER DISK READ DISK WRITE SWAPIN IO> COMMAND 17962 be/4 postgres 0.00 B/s 14.83 M/s 0.00 % 0.25 % postgres: aggw aggw [local] idle 17084 be/4 postgres 0.00 B/s 15.53 M/s 0.00 % 0.24 % postgres: aggw aggw [local] idle 17963 be/4 postgres 0.00 B/s 15.00 M/s 0.00 % 0.24 % postgres: aggw aggw [local] idle 17188 be/4 postgres 0.00 B/s 14.80 M/s 0.00 % 0.24 % postgres: aggw aggw [local] idle 17964 be/4 postgres 0.00 B/s 15.50 M/s 0.00 % 0.24 % postgres: aggw aggw [local] idle 18664 be/4 postgres 0.00 B/s 15.13 M/s 0.00 % 0.23 % postgres: aggw aggw [local] idle 17088 be/4 postgres 0.00 B/s 14.71 M/s 0.00 % 0.13 % postgres: aggw aggw [local] idle 18688 be/4 postgres 0.00 B/s 14.72 M/s 0.00 % 0.00 % postgres: aggw aggw [local] idle 24767 be/4 postgres 0.00 B/s 14.93 M/s 0.00 % 0.00 % postgres: aggw aggw [local] idle 18671 be/4 postgres 0.00 B/s 16.14 M/s 0.00 % 0.00 % postgres: aggw aggw [local] idle 17057 be/4 postgres 0.00 B/s 13.58 M/s 0.00 % 0.00 % postgres: aggw aggw [local] idle 26168 be/4 postgres 0.00 B/s 15.50 M/s 0.00 % 0.00 % postgres: aggw aggw [local] idle 18660 be/4 postgres 0.00 B/s 15.85 M/s 0.00 % 0.00 % postgres: aggw aggw [local] idle

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