Write program to run in parallel? Yes. Did you remember to use a Scalable Memory Allocator? No? Then read on … In my experience, making sure “memory allocation” for a program is ready for parallelism ...

Parallel programming is a powerful technique to speed up complex computations and handle large data sets by distributing the work among multiple processors or cores. However, parallel programming also ...

“The first law of massive parallelism is the foundation for massive marketing that supports massive budgets that supports the search for massive parallelism,” Gordon Bell, 1992 [2]. For many years ...

Bottlenecks are factors that constrain the performance of a parallel program, such as communication, synchronization, load imbalance, or resource contention. Bottlenecks can occur at different levels ...

Abstract: Integration of P-GRADE with Condor and parallel check-pointing results in an environment under which both interactive parallel program development and batch mode execution is possible for ...

Multicore processors have been around for many years, and today, they can be found in most devices. However, many developers are doing what they've always done: creating single-threaded programs. They ...

Abstract: With the increasing popularity of multi-core processors and the promise of future many-core systems, parallel CAD algorithm development has attracted a significant amount of research effort.

In here, you can find the definition of a new computer programming language that supports procedural and parallel programming, and a fully functional compiler and runtime for it. I have developed the ...