Blog Archives

September, 2009

Parallelism Should Inspire You

We struggle to think in parallel and develop models and paradigms that imitate behavior with innate parallelism. Peer-to-peer, workpile, boss worker, consumer producer describe models for concurrent work and communication. But are these models sufficient to model the behavior of complex systems that utilize massive parallelism?

Paradoxical Threading

Some threading semantics are desirably non-rigorous. What happens when we have to define every aspect of the parallel execution of our program?

Down in the Weeds of Concurrency

Contrary to a few dozen e-mails we've received, we are not against Apple's Grand Central Dispatch. We are not against black box parallelism and we're not against single-source-single-vendor end-to-end parallelization solutions. It's just that in some cases we have unresolved questions (e.g. Grand Central Dispatch's approach to modularity), in other cases we want to believe but it's just not working for us yet.

Process Monitor v2.7: A New Release to Watch Processes and Threads in Windows

Process Monitor is a very complete advanced monitoring tool that shows and logs real-time activity for the file system, the Registry, the running processes and their threads in Windows. Yesterday, the Windows Sysinternals team made the new version v2.7 of Process Monitor available for download.

One Man's Parallelism is Another Man's Breakfast

The product was absolutely cool and the breakfast spread impressive but I still felt snookered.

All CPU Meter: A Simple Windows Gadget to Monitor Cores

All CPU Meter is a very simple sidebar gadget available for Windows Vista and Windows 7. It allows developers and users to check the microprocessor's usage and it shows an independent graph for each available logical core (hardware thread).

TMonitor: Understanding What Happens With Each Hardware Thread

TMonitor, a new tool developed by the CPUID team, offers the possibility to understand what's going on with each hardware thread (logical core) on some modern multicore microprocessors.

Snow Leopard's Grand Central Dispatch and the Gift Horse's Mouth

First a disclaimer or at the very least an acknowledgment. We are heavy consumers of Mac technology at Ctest Labs. Our Pantheon cluster boasts several fully loaded multicore Macs. We combine Macs with Sun boxes and Linux boxes in a way that makes for a very formidable cluster-based supercomputer that we call the Pantheon. So right off the bat let me say that we have much love for the Mac.

Calendar

November 2009
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.