Sounds like a cache to me, or maybe more like virtual memory where ... And programming GPUs will be no more – or less – difficult than parallel programming for multicore CPUs. Michael Wolfe has worked ...

Containers that can hold data but can be accessed by different threads in a parallel program ... compensating for cache lines so that you keep things far enough apart so that you don’t get ...

CATALOG DESCRIPTION: Parallel computer architecture and programming models. Message passing and shared memory multiprocessors. Scalability, synchronization, memory consistency, cache coherence. Memory ...

I’m James Reinders and as I've travelled around talking to programmers about parallel programming I’ve come up with a set of rules of thumb; recurring themes about what makes programmers more ...

cache coherence, memory consistency, profiling, speedup, and Amdahl’s law. Important parallel algorithms and data structures will be discussed, including the notion of lock-free data structures. Note ...

CUDA is a parallel computing platform and programming model developed by NVIDIA for general computing on its own GPUs (graphics processing units).CUDA enables developers to speed up compute ...

This new version opens up parallel programming to new applications, makes it easier to develop parallel programs, and gives more fine grain control to the developer. The OpenMP API is used in a ...

Most notably, the chipmaker announced a compiler source code enabling software developers to add new languages and architecture support to Nvidia’s CUDA parallel programming model.