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"Practical Hardware Design Strategies for Modern HPC Workloads"

Many new technologies used in High Performance Computing (HPC) have allowed new application areas to become possible. Advances like multi-core, GPU, NVMe, and others have created application verticals that include accelerator assisted HPC, GPU based Deep Learning, Fast storage and parallel file systems, and Big Data Analytics systems.

In this special insideHPC technology guide sponsored by our friends over at Tyan, we look at practical hardware design strategies for modern HPC workloads. As hardware continued to develop, technologies like multi-core, GPU, NVMe, and others have allowed new application areas to become possible. These  application areas include accelerator assisted HPC, GPU based Deep learning, and Big Data Analytics systems.  Unfortunately, implementing a general purpose balanced system solution is not possible for these  applications. To achieve the best price-to-performance in each of these application verticals, attention to  hardware features and design is most important.

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