Parallel development is an essential technique for boosting the productivity of big software development teams that must make numerous changes to a large source-code base. To employ that technique, ...

Supercomputers often conjure up images of government labs with racks of processors and little concern for budgets. Actually, highperformance servers and clusters of multiple processors are in wide use ...

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 ...

A hands-on introduction to parallel programming and optimizations for 1000+ core GPU processors, their architecture, the CUDA programming model, and performance analysis. Students implement various ...

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 ...

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 ...