16/05/28 02:20:09.01 4JD3bMcF.net
GPU compute is making an impact in embedded applications
URLﾘﾝｸ(embedded-computing.com)
Upcoming releases of the HSA standards integrate Digital Signal Processors (DSP) into the architecture and also improve the efficient interoperation
with non-HSA enabled programmable and fixed-function accelerators in the system.
Next up, while HSA is a great foundation for general-purpose GPU (GPGPU) APIs like OpenCL, with its fine-grain & coarse grain shared virtual memory features,
many high-level languages have been ported and optimized to natively target HSA platforms, including C++ 17, GCC, LLVM/CLANG, and Python.
Work is also ongoing to optimize software frameworks such as CAFFE, BLAS, CHARM++, FFT, Sparse, FLAME,
and Docker to make it easier for developers to efficiently program and use heterogeneous parallel devices directly.