Before talking about parallel programming, let me explain two concepts closely related to it: synchronous and asynchronous execution modes. These modes are important for improving the performance ...

Final Remarks I hope that this article has shown how parallel programming is for everybody. I've listed a few examples of what I believe to be good areas to apply the concepts presented here, but I'm ...

So, a C++ template library for parallelism has to have quite a few features in it to help you program in parallel. The feature I will look at is the algorithms which really form the heart of ...

With that state come several parallel programming approaches ... for example), but the productivity concepts they reveal are worth noting. Major features of OpenACC, OpenMP, OpenCL and CUDA. Key ...

Students taking the course for COMP_SCI 368 credit will work on labs that utilize advanced parallel programming, data layout, and algorithm decomposition concepts. Students taking the course for ...

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 ...

Students taking the course for COMP_ENG/COMP_SCI-368 credit will work on labs that utilize advanced parallel programming, data layout, and algorithm decomposition concepts. Students taking the course ...

Containers that can hold data but can be accessed by different threads in a parallel program. (ii) A Scalable Memory Allocator - also, it’s just a memory allocator but again, it’s designed to ...