Actually, highperformance servers and clusters of multiple processors are in wide use today. But it's difficult to program parallel systems. Boston-based Interactive Supercomputing Inc. says its ...

Programming languages are evolving to bring the software closer to hardware. As hardware architectures become more parallel (with the advent of multicore processors and FPGAs, for example), sequential ...

Introduction to parallel computing for scientists and engineers. Shared memory parallel architectures and programming, distributed memory, message-passing data-parallel architectures, and programming.

Most of the legacy code that needs porting to newer systems is serial code, meaning that the code runs on a single processor with only one instruction executing at a time. Modern OpenVPX boards ...

This course focuses on developing and optimizing applications software on massively parallel graphics processing units (GPUs). Such processing units routinely come with hundreds to thousands of cores ...

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 ...