Blog Archives

August, 2009

The Politics of Parallelism

Is it called the server room? Computer operations? The rack closet? Joe's office? I've lost track. Seems like there's a different name for it wherever I go -- the place in the organization where all the heavy duty (important) computers are kept.

Parallel Execution Advantage on Single Core Intel Atom

I've just had 2 weeks vacation in South America. To help me cope with the long flight I bought a Samsung N110 - which has a battery life of over 9 hours. Also I figured the smaller size would be easier to work with whilst sitting in economy class. Irony was I missed my daytime flight, ended up travelling in the evening and so I slept rather than using the Netbook on the plane.

After a couple of days of being in Brazil, I got itchy fingers, and decided to test the Samsung N110 to see how it performed on parallel programs.
I built and ran my favourite Pi program using the Intel® Compiler that comes with Intel Parallel Studio, and got a performance boost of 1.47.

Web Workers: A Draft Recommendation to Allow Parallelism in Scripts

Most modern Web pages run scripts. So far, there are many limitations to allow these scripts to take advantage of multicore microprocessors. However, Web Workers is a draft specification that defines an API to allow Web application authors to spawn background workers running scripts in parallel.

America's Next Top Model?

There are several concurrency schemes that describe how parallelism can be performed. Concurrency schemes such as peer-to-peer, boss-worker, workpile, and pipeline describes how tasks distribute work in parallel. SIMD (Single Instruction Multiple Data) and MIMD (Multiple Instructions Multiple Data) are concurrency schemes that achieve data level parallelism.

Balder: A Silverlight 3 Managed 3D Engine Optimized for Multicore

Silverlight 3 doesn't offer native support for loading and rendering 3D models. However, Balder, an open source project, offers a very complete managed 3D engine for Silverlight 3. It achieved the necessary frame rate taking advantage of Silverlight's threading capabilities.

Supercomputer Debugging: More Than Just Breakpoints

There's no question you could set a boatload of breakpoints with a 20-petaflop supercomputer, but you probably need more than that when developing parallelized software for it. You might also resort to fast conditional watchpoints, compiled expressions, asynchronous thread control, and full post-mortem debugging capabilities, and that's just for starters.

Blackbox Parallelism a Hoax?

Once a software paradigm has reached a certain level of saturation and it is understood enough, some vendor is going to produce a template or a commercial framework that captures some of the key basics of that paradigm in a box or in a easy-to-use set of tools. At that point that entire software paradigm is considered solved.

Parallel Loops Require In-Depth Concurrency Knowledge

The new Parallel Extensions offered by .NET Framework 4 Beta 1 present developers the opportunity to use the new parallel loops. Using them, it is easier to distribute tasks in many cores. However, you don't have to forget about concurrency issues.

New Parallel Debugging Windows in Visual Studio 2010 Beta 1

Visual Studio 2010, still in Beta 1, offers two new debugging windows: Parallel Stacks and Parallel Tasks. Using them, it is easier to understand the new Parallel Extensions offered by .NET 4.

Tasks Are Not Threads in .NET 4 Beta 1

.Net Framework 4.0 with its Parallel Extensions, still in Beta 1, will add the possibility to work with tasks. It is very important to understand that tasks aren't threads. Tasks run using threads. However, it doesn't mean they replace threads.

Calendar

October 2009
September 2009
August 2009
July 2009
June 2009
May 2009
April 2009
March 2009
February 2009
January 2009
December 2008

Real World Parallelism Webinar Series
  • November 17, 2009
    Visual Effects for Animation - presented by DreamWorks Animation
    Speaker: Ron Henderson (Bio)

    Ron Henderson manages the FX Tools group at DreamWorks Animation, where he is responsible for developing physical simulation and procedural modeling tools. These systems have been used for key visual effects in recent films such as Kung Fu Panda and Monsters vs. Aliens (March 2009).

    Prior to joining DreamWorks in 2002 he was a senior scientist at Caltech with a joint appointment to the Applied Math and Aeronautics departments, where he worked on efficient techniques for the direct numerical simulation of fluid turbulence.

    Abstract:
    In this webinar, Ron Henderson will show examples of visual effects, from hair and feathers to smoke and fire, from a variety of DreamWorks Animation feature films. He will discuss in general terms the kinds of techniques used to achieve particular visual effects. Finally, Henderson will show a detailed breakdown of the dam-breaking scene from Madagascar: Escape 2 Africa, demonstrating how different elements of key frame animation, simulation, and rendering are combined in a real production shot.

  • December 1, 2009
    A Quick and Easy Way to Parallelize a Legacy Codebase with Intel® Threading Building Blocks (TBBs)
    Speaker: Bernard Laberge, Avid, Senior Principal Engineer (Bio)

    Bernard Laberge is a senior principal engineer in the video editors division at Avid. During his seven years with the company he has been actively involved in the replacement of the legacy video processing engines used by Avid editors with a common hardware-abstracted, component-based video processing engine currently running on the CPU with SIMD optimized code, GPU, and dedicated hardware.

    Abstract:
    Learn how to overcome the limitations of a thread-based scheduler, including dealing with the absence of recursive parallelism support and the inefficient handling of unbalanced processing load. Bernard Laberge addresses how Avid resolved the expensive refactoring of their thread-based scheduler into a task-based solution by choosing Intel® Threading Building Blocks (TBBs). He explores how Avid was able to easily integrate the Intel TBBs into their video editor applications and more than 5 million lines of code.

  • December 15, 2009
    How to Use Intel® Parallel Studio to Streamline Code Development in a Multicore Environment
    Speaker: Matt Dunbar, Director for Performance Technology, SIMULIA (Bio)

    Matt Dunbar is the director for performance technology at SIMULIA. Since joining the company in 1993, he has worked on parallelization of the Abaqus suite of products, initially for shared memory architectures and more recently for distributed memory architectures. Dunbar has also been intimately involved in selecting both the hardware and software tools used in the development of the Abaqus product line.

    Abstract:
    Resolve elusive, costly multithreading errors quickly and efficiently with Intel® Parallel Studio. While many coding problems that lead to bugs in software applications are typically straightforward logic errors, errors in managing memory and in multithreading code can sometimes take weeks to months to diagnose and fix. Matt Dunbar explores how and why taking advantage of multicore processors through multithreaded code is critical for compute-intensive applications. While spotlighting his work on SIMULIA's Abaqus finite element solver, Dunbar addresses the need for multicore execution and shares his experiences using Intel Parallel Studio to streamline code development in a multicore environment.