Integrating GPGPU computations with CPU coroutines in C++

International Conference on Computer Simulation in Physics and Beyond 2015

物理学;计算机科学

Lebedev, Pavel A.^1

Subdepartment of Computer Security, National Research University Higher School of Economics, 34 Tallinskaya Ulitsa, Moscow, Russia^1

关键词: Asynchronous computing;    C++ codes;    Corner case;    Event Processing;    GPGPU programming;    Optimal performance;    Performance costs;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/681/1/012048/pdf
DOI  :  10.1088/1742-6596/681/1/012048

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

We present results on integration of two major GPGPU APIs with reactor-based event processing model in C++ that utilizes coroutines. With current lack of universally usable GPGPU programming interface that gives optimal performance and debates about the style of implementing asynchronous computing in C++, we present a working implementation that allows a uniform and seamless approach to writing C++ code with continuations that allow processing on CPUs or CUDA/OpenCL accelerators. Performance results are provided that show, if corner cases are avoided, this approach has negligible performance cost on latency.