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Practical Hardware Design Strategies for Modern HPC Workloads – Part 2

This special research report sponsored by Tyan discusses 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.

Practical Hardware Design Strategies for Modern HPC Workloads

This special research report sponsored by Tyan discusses 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.

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.

Call for Papers: EuroPar 2017 in Santiago de Compostela

The Euro-Par 2017 conference has issued its Call for Papers. The conference takes place Aug. 28 – Sept. 1, 2017 in Santiago de Compostela, Spain. Euro-Par is the prime European conference covering all aspects of parallel and distributed processing, ranging from theory to practice, from small to the largest parallel and distributed systems and infrastructures, from […]