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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

発行 IDC 商品コード 913866
出版日 ページ情報 英文 11 Pages
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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
出版日: 2019年10月09日 ページ情報: 英文 11 Pages
概要

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。

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

超並列コンピューティング (超並列処理) の分類法の変更点

分類法の概要

定義

  • 超並列コンピューティング (超並列処理)
  • ハードウェア
  • ソフトウェア
  • 展開
  • 処理モデル
  • ユースケースとワークロード
  • 技術サプライヤーへの提言

参考資料

  • 調査手法
  • 要約
目次
Product Code: US45527419

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."

IDC's Worldwide Massively Parallel Computing Taxonomy

Massively Parallel Computing Taxonomy Changes for 2019

Taxonomy Overview

Definitions

  • Massively Parallel Computing
  • Hardware
    • Discrete Servers (Computing Platforms)
      • Accelerated Servers
    • External Storage Systems
    • Hyperconverged Infrastructure
    • Connectivity (Fabrics)
  • Software
    • Physical and Virtual Computing
      • Operating Systems and Subsystems
      • Software-Defined Compute
    • Storage
      • Software-Defined Storage Controller Software
      • Parallel File Systems
    • MPC-Enabling Software
  • Deployments
    • Private Cloud Infrastructure
    • Public Cloud Infrastructure
    • Traditional IT Infrastructure
  • Computational Models
    • Intra-Processor (Level 1)
    • Intra-Compute Node (Level 2)
    • Intra-Cluster (Level 3)
    • Intra-Locality (Level 4)
  • Use Cases and Workloads
    • Parallelized Primary Workloads
    • Modeling and Simulation
    • Big Data and Analytics
    • Artificial Intelligence
  • Advice for the Technology Supplier
    • A Way of Thinking
    • Package MPC Software Stacks
    • Low-Latency Interconnect and Network Support

Learn More

  • Related Research
  • Synopsis
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