IDCによる世界の超並列コンピューティング (超並列処理) の分類法
IDC's Worldwide Massively Parallel Computing Taxonomy, 2019
|IDCによる世界の超並列コンピューティング (超並列処理) の分類法|
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当レポートでは、IDCによる世界の超並列コンピューティング (超並列処理) の分類法について、体系的な情報を提供しています。
This IDC study introduces IDC's concept of massively parallel compute (MPC) that is being applied as an infrastructure approach of choice across three major and fast-growing use case categories: modeling and simulation, AI, and big data and analytics. MPC occurs within accelerators, within nodes, and within clusters of nodes. As a compute paradigm, it offers the most powerful and efficient way to execute very complex instructions or to perform a relatively simple instruction on massive amounts of data."We are seeing a compute paradigm emerge due to the penetration of AI, big data and analytics, and modeling and simulation into the datacenter that heavily leverages massive parallelization within and between accelerators as well as in the form of compute clusters," said Peter Rutten, research director at IDC's Infrastructure Systems, Platforms and Technologies Group. "We have labeled this new paradigm 'massively parallel compute' and believe that it offers an opportunity for vendors to approach these use cases in a more streamlined and targeted fashion."