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Showing entries tagged "performance". Full blog index.

Friday Q&A 2009-09-25: GCD Practicum at 2009-09-25 11:52
Tags: fridayqna gcd performance sourcecodeWelcome back to another Friday Q&A. I'm off to C4 today (hope to see you there!) but I've prepared this in advance so everyone stuck at home (or worse, work) can at least have something interesting to read. Over the past four weeks I've introduced Grand Central Dispatch and discussed the various facilities it provides. In Part I I talked about the basics of GCD and how to use dispatch queues. In Part II I discussed how to use GCD to extract more performance from multi-core machines. In Part III I discussed GCD's event dispatching mechanism, and in Part IV I took care of various odds and ends that I hadn't covered before. This week I'm going to examine a practical application of using GCD to speed up the production of thumbnails for a large quantity of images, a topic suggested by Willie Abrams.
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Friday Q&A 2009-09-18: Intro to Grand Central Dispatch, Part IV: Odds and Ends at 2009-09-18 17:23
Tags: fridayqna gcd performanceIt's that time of the week again. Over the past three weeks I've introduced you to the major pieces Grand Central Dispatch, an exciting new API for parallel processing and event handling in Snow Leopard. The first week I covered basic concepts and dispatch queues. The second week I discussed how to use dispatch queues for parallel processing on multi-core computers. The third week I covered GCD's event handling system. This week I'm going to cover various odds and ends which I didn't get to before: dispatch queue suspension and targeting, semaphores, and one-time initialization.
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Friday Q&A 2009-09-11: Intro to Grand Central Dispatch, Part III: Dispatch Sources at 2009-09-11 15:28
Tags: fridayqna gcd performanceWelcome back to another Friday Q&A. This week I continue the discussion of Grand Central Dispatch from the past two weeks. In the last two weeks I mainly focused on dispatch queues. This week I'm going to examine dispatch sources, how they work, and how to use them.
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Friday Q&A 2009-09-04: Intro to Grand Central Dispatch, Part II: Multi-Core Performance at 2009-09-04 01:51
Tags: fridayqna gcd performanceWelcome back to Friday Q&A. Last week I discussed the basics of Grand Central Dispatch, an exciting new technology in Snow Leopard. This week I'm going to dive deeper into GCD and look at how you can use GCD to take advantage of multi-core processors to speed up computation. This post assumes that you've read last week's edition, so be sure to do that if you haven't already.
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Friday Q&A 2009-08-28: Intro to Grand Central Dispatch, Part I: Basics and Dispatch Queues at 2009-08-28 14:16
Tags: fridayqna gcd performanceWelcome back to Friday Q&A. This week's edition lines up with Apple's release of Snow Leopard, so I'm going to take this opportunity to open up the discussion on previously NDA'd technologies and talk about some of the cool stuff now available in Snow Leopard. For this week I'm going to start what I plan to be an ongoing series on Grand Central Dispatch, a topic suggested by Chris Liscio.
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Friday Q&A 2009-06-19: Mac OS X Process Memory Statistics at 2009-06-19 13:48
Tags: fridayqna memory performanceWelcome back to another Friday Q&A. Now that WWDC is behind us, I'm back on track to bring you more juicy highly-technical goodness. Maybe I can even get back to doing one a week.... This week I'm going to take André Pang's suggestion of discussing process memory statistics (the stuff you see in Activity Monitor or top) in Mac OS X.
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Friday Q&A 2009-04-10: Multithreaded Optimization in ChemicalBurn at 2009-04-10 17:22
Tags: fridayqna chemicalburn performance threadingWelcome to another Friday Q&A, where all the women are strong, all the men are good-looking, and all the programmers are above average. This week, Phil Holland has suggested that I dissect an interesting piece of code from one of my screensavers, so we're going to take a look at ChemicalBurn's multithreaded routing code.
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Friday Q&A 2009-02-27: Holistic Optimization at 2009-02-27 04:21
Tags: fridayqna rant performanceWelcome back to Friday Q&A, a bit early this week since I won't be around to post it at the usual time. This week I'm going to cheat a little bit and use a topic that I "suggested" myself. I'll be talking about what I like to call "holistic optimization", which is essentially how to look at optimization within the context of your entire project, rather than bit-swizzling, loop unrolling, and other micro-optimizations.
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Friday Q&A 2009-02-20: The Good and Bad of Distributed Objects at 2009-02-20 20:40
Tags: fridayqna performance cocoa ipcWelcome back to another Friday Q&A. This week I'm going to take Erik's (no last name given) suggestion from my interprocess communication post and expand a bit on Distributed Objects, what makes it so cool, and the problems that it has.
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Friday Q&A 2009-02-13: Operations-Based Parallelization at 2009-02-13 20:31
Tags: fridayqna performance nsoperationqueueWelcome back to Friday Q&A, which this week is also Friday the Thirteenth! Be especially careful, as this is the first of two consecutive Friday the Thirteenths. For this first Friday the Thirteenth I'm going to talk about parallel software design using an "operations" approach (think NSOperation), as suggested by Nikita Zhuk way back when I first started this whole thing.
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Friday Q&A 2009-02-06: Profiling With Shark at 2009-02-06 17:30
Tags: fridayqna shark performanceWelcome back to Friday Q&A.; This week I'm taking Jeff Johnson's idea to discuss optimization and profiling tools.
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Friday Q&A 2008-12-19 at 2008-12-20 01:28
Tags: fridayqna threading parallelism performanceGreat response last week. This week I'm going to merge Sam McDonald's question about how I got into doing multithreaded programming and Phil Holland's idea of talking about the different sorts of parallelism available.
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Performance Comparisons of Common Operations, iPhone Edition at 2008-03-19 21:40
Tags: performance cocoa objective-c iphoneI finally got a chance to run my performance comparison code on an iPhone, so we can see just how much horsepower this little device has. I still am not able to load my own code onto the device myself, so I want to thank an anonymous benefactor for adapting my code to the new environment and gathering the results for me.
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Performance Comparisons of Common Operations, Leopard Edition at 2008-01-12 21:01
Tags: performance cocoa objective-c leopardBy popular demand, I have re-run my Performance Comparisons of Common Operations on the same hardware but running Leopard.
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Algorithmic Optimizations: a Case Study at 2007-11-26 01:08
Tags: performance c++ stl casestudyThose who know me from a programming standpoint know that I am a big opponent of needless optimization. But sometimes optimization is necessary, and when that comes I'm a big proponent of examining algorithms over twiddling low-level code. I recently had a good opportunity to perform algorithmic optimizations in a somewhat unconventional scenario, and this post will describe what I did.
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Perform Better With Garbage Collection at 2007-11-21 04:44
Tags: cocoa garbagecollection performanceThe move to garbage collection in Cocoa has been interesting. People have said that it's impossible, or impractical, or a bad idea, or doomed to failure, and one of the most common things trotted out is that GC is inevitably slow. However, I think that enabling garbage collection in your Cocoa app could actually be a good way to increase performance under the right conditions.
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Performance Comparisons of Common Operations at 2007-08-25 00:00
Tags: performance objective-c cocoa We all know that premature optimization is the root of all evil. But a recent conversation brought to mind that we often don't really know the runtime costs of the code we write. While we should be writing foremost for correctness and clarity, having an idea of these speeds is good, especially when we get it into our heads that some operation is much more costly than it really is. With that in mind, I compiled a list of common Cocoa operations and how much time they require at runtime.
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Autorelease is Fast at 2006-06-07 00:00
Tags: autorelease performance cocoa objective-c If you've done much Cocoa programming, you've probably run into a situation where you needed to create a local autorelease pool because of some sort of loop. And you've probably run into advice telling you not to create and destroy the pool for every iteration, because that would be slow. I never believed that it could be significant, and I finally took the time to test it today. What's the verdict? Just as I thought, making autorelease pools is really fast.
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