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?
Microsoft Parallel Computing Platform
David Callahan is a Microsoft Distinguished Engineer. Prior to Microsoft, David was at Tera Computer which in 2000 acquired and became Cray, Inc., where he worked on High Performance Computing (HPC). At Microsoft, David is a member of the Parallel Computing Platform team.
Parallel Impetus to Transform Computer Science
David Bader, Executive Director of High-Performance Computing at Georgia Tech, talks about parallel algorithms, hardware architectures for parallel programming, and the need for teaching parallelism as the norm in computer science.
Of Quarks and Practical Parallel Programming
In this conversation with Timothy G. Mattson, Senior Research Scientist Intel, Computational Software Lab, we find close agreement on the best approach to applying parallelism to business and general application programming. But first we discuss quantum physics.
Multicore Programming Summer School
The University of Illinois at Urbana-Champaign will be conducting a summer school about multicore programming June 22-26, 2009. I spoke with Marc Snir who is organizing the program. Prof. Snir is co-director of UIAC's Universal Parallel Computing Resource Center.
Getting Positioned in Parallel
As multicore issues arise in your personal programming practice, what you want to know is how to position yourself in the new arena. I have a few practical observations to share on this score.
Open Sourcer Explores Intel MulticoreTools on Windows, Barely Lives to Tell Tale
An inveterate open-sourcer, I'm making an uneasy peace with Microsoft Windows for the purpose of exploring the tools Intel has made available for parallelization of applications running on multicore platforms. I have used and verbally abused Windows in every release since Windows 2.1. Thus I am no stranger, but Windows has not been a C/C++ development environment for me since the 1990's, though I test and run my Java stuff on Windows.
So, d'oh, of course I'm looking for the simplest way to do this ... [article updated at end]
A == !A or What Happened to my App?
Most of us have read about the philosophers dining with insufficient chopsticks and the curved section of single-track railway in the mountain pass. These are the beginner examples of resource conflict and deadlock that serve as an introduction in comp sci texts to the challenges of parallel execution.
But they are coarse examples, and the world of multiprogramming today is very finely grained indeed.
Applications properly designed for multithreading on a single processor using all the approved locks and semaphors can still misbehave on multiple processors.
Graduating from Multitasking to Multiprogramming
For two decades, event-driven programming in multi-threaded environments created the cinematic illusion of parallel processing. Now that multicore chips have brought down the price of parallel processing to consumer levels, we are reminded that the programming practices which deliver efficiency in the multi-threaded emulation of parallelism are not genuine parallel algorithms.




