Matthieu Brucher's blog

I’ve played a little bit with Intel Parallel Studio. Let’s say it has been a pleasant trip out in the wildness of multithreaded applications.

Intel Parallel Studio is a set of tools geared toward multithreaded applications. It consists of three Visual Studio plugins (so you need a fully-fledged Visual Studio, not an Express edition):

• Parallel Inspector for memory analysis
• Parallel Amplifier for thread behavior and concurrency
• Parallel Composer for parallel debugging

This is an update of the review I’ve done for the beta version. Since this first review, I’ve tried the official first version.

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Since this post, Intel has officially released Parallel Studio. This is why I’ve published a new, up-to-date review here.

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Some months ago, I’ve decided to dig into raytracing, and more exactly interactive raytracing. So I’ve started writting my own library, based on several publications.
nVidia announced recently its own framework, Intel wants also to do raytracing on Larrabee, it is the current trend.
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Some months ago, I had a TotalView tutorial, thanks to my job. Now, I’ve actually used it to debug one of my parallel applications and I would like to share my experience with fantastic tool.
First TotalView is not only a parallel debugger available on several Linux and Unix platforms. It also is a memory checker (MemoryScape and the TotalView plugin) as well as a reverse debugger, that is, you can roll back the execution of a program, even after it crashed (where it would be useless with a standard debugger like GDB).
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Like other programming models, there are some patterns in selecting the right parallel solution when it comes to designing a parallel application. This is what this book is about. The solutions may be obvious, but patterns aften are.
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I came across the issue of how to teach a trainee how to write a parallel finite-difference time-domain (FDTD) method. There are a lot of books on the FDTD, but only a few on parallel ones. So I’ve decided to go for this book, knowing that some chapters won’t apply to our job (wave equations). My goal was to seek a book that would explain the basics of my issues.
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I had this discussion with one of my Ph.D. advisors some months ago when we talked about correctly using the computers we had then (dual cores), and I had almost the same one in my new job here: applied maths (finite differences, signal processing, …) graduate students are not taught how to use current computers, so how could they develop an HPC program correctly?

I think it goes even further than that, and it will be a part of this post. What I see is that trainees and newly-hired people (to some extent myself included) lack a lot of basic Computer Science knowledge, and even IT knowledge.
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After some general books on grid computation, I needed to change the subject of my readings a little bit. As Intel Threading Building Blocks always intrigued me, I chose the associated book.
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After Advanced Computer Architecture and Parallel Processing, I’m going to review another book from the same serie. As the title hints it, the goal of this book is to introduce the tools that may be used in parallel, grid and distributed computing. This is the layer above the architecture the last book presented.
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This is my first review. I read this book some time ago but I still want to write about it because the topic is very interesting.
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