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Continuing the Infrastructure architecture essentials series, this paper provides an overview of methods for building HPC systems with OTS components and open source software. Architectures that employ clusters and hybrid nodes composed of traditional multi-core Symmetrical MultiProcessing (SMP)/Non-Uniform Memory Access (NUMA) architectures integrated with Single-Instruction Multiple Data (SIMD) Cell-based or Graphic Processing Unit (GPU)-based offloading. Methods for implementing Cell-based and GPU-based offloads are not reviewed here in detail, but one can find numerous excellent references on the topic of Cell-based algorithm acceleration as well as significant help with GPU offload provided by the NVIDIA Compute Unified Device Architecture (CUDA) environment.
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