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And another more general question: (6) gcc, clang, and nvcc have some OpenMP offloading capabilities which allow to compile code into binaries which can then run on GPUs. Is the code they produce through OpenMP anywhere close to what one gets directly with i.e. opencl?
Hi, I've got few questions:
1). What profiling tools do you use for GPU code?
2). Where one would start, in terms of learning resources, about coding using inline GPU assembler?
3). Do you verify GPU assembler generated by a compiler from C/C++ code, in terms of effectiveness? If so, which tools do you use for that?
4). Is SIMD on GPUs a thing?
5). What are the primary factors being taken into account by you (cache sizes, microoptimizations, etc.) when you write code for a tool like gpuowl/prpll? Which factor is the most important? Thanks!
Hi, Nick, can I ask you about that your 2017/2018 HFT project from another thread?