Heterogeneous System Architecture: Practical Applications for Industry provides a comprehensive overview of this next-generation computing framework for building high-performance applications for scientific research, cloud computing, big data analysis, and more.
It’s similar to NVIDIA CUDA in that it leverages co-processors (such as GPUs) for computationally-intensive applications and can increase efficiency by factors of tens of thousands. Unlike CUDA, HSA is an open standard supported by a cross-industry consortium, the HSA Foundation, representing the majority of the low-power processor platforms supporting embedded and co-processor computing including AMD, ARM, Qualcomm, and others.
The book leverages OpenCL and helps developers using a variety of languages including C, C++, Java, JavaScript, Python, and more. The book begins with an introduction to the platform, explaining the design philosophy and specification to let developers see "under the hood" at the architectural choices.
Later, application-specific chapters offer working examples and case studies representing the range of possible use cases for HSA in different industry verticals.
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