GPGPU is an acronym for the field of computer science known as "General Purpose computing on the Graphics Processing Unit (GPU)"
According to "CUDA C Programming Guide", a constant memory access benefits only if a multiprocessor constant cache is hit (Section 5.3.2.4)1. …
cuda gpgpu gpu-constant-memoryI have 2 very similar kernel functions, in the sense that the code is nearly the same, but with a slight …
c++ c optimization cuda gpgpuUnder what circumstances should you use the volatile keyword with a CUDA kernel's shared memory? I understand that volatile tells …
compiler-construction cuda gpu gpgpu volatileI have an application that requires processing multiple images in parallel in order to maintain real-time speed. It is my …
opencv parallel-processing cuda gpgpuWhat are the key practical differences between GPGPU and regular multicore/multithreaded CPU programming, from the programmer's perspective? Specifically: What …
multithreading performance multicore gpgpu parallel-processingI know many examples when GPU is much faster than CPU. But exists algorithms (problems) which are very hard to …
cpu gpgpu cpu-architectureI am trying to understand how bank conflicts take place. if i have an array of size 256 in global memory …
c++ cuda gpgpu bank-conflictUnlike barrier() (which I think I understand), mem_fence() does not affect all items in the work group. The OpenCL …
opencl gpgpu memory-barriers barrier memory-fences