Contemporary High Performance Computing: From Petascale Toward Exascale, Volume Two
暫譯: 當代高效能計算：從百拍到千拍，第二卷

Vetter, Jeffrey S.

Contemporary High Performance Computing: From Petascale Toward Exascale, Volume Two

商品描述

HPC is used to solve a number of complex questions in computational and data-intensive sciences. These questions include the simulation and modeling of physical phenomena, such as climate change, energy production, drug design, global security, and materials design; the analysis of large data sets such as those in genome sequencing, astronomical observation, and cybersecurity; and the intricate design of engineered products, such as airplanes and automobiles.



This second volume of Contemporary High Performance Computing: From Petascale toward Exascale continues to document international HPC ecosystems, including the sponsors and sites that host them. Each chapter is punctuated with a site's flagship system and:





  • Presents highlights of applications, workloads, and benchmarks


  • Describes hardware architectures, system software, and programming systems


  • Explores storage, visualization, and analytics


  • Examines the data center/facility as well as system statistics


Featuring pictures of buildings and systems in production, floorplans, and many block diagrams and charts to illustrate system design and performance, Contemporary High Performance Computing: From Petascale toward Exascale, Volume Two delivers a detailed snapshot of the rich history of practice in modern HPC. This book provides a valuable reference for researchers in HPC and computational science.

商品描述(中文翻譯)

HPC（高效能運算）用於解決計算和數據密集科學中的多個複雜問題。這些問題包括物理現象的模擬和建模，例如氣候變遷、能源生產、藥物設計、全球安全和材料設計；分析大型數據集，例如基因組測序、天文觀測和網絡安全；以及工程產品的複雜設計，例如飛機和汽車。

《當代高效能運算：從百拍到千拍（Contemporary High Performance Computing: From Petascale toward Exascale）》的第二卷繼續記錄國際HPC生態系統，包括贊助商和主辦這些系統的地點。每一章節都以某個地點的旗艦系統為重點，並且：

- 提供應用、工作負載和基準測試的亮點
- 描述硬體架構、系統軟體和程式設計系統
- 探討儲存、視覺化和分析
- 檢視數據中心/設施以及系統統計

《當代高效能運算：從百拍到千拍，第二卷》展示了生產中的建築和系統圖片、平面圖，以及許多方塊圖和圖表，以說明系統設計和性能，提供了現代HPC豐富實踐歷史的詳細快照。本書為HPC和計算科學的研究人員提供了寶貴的參考資料。

作者簡介

Jeffrey S. Vetter holds a joint appointment at Oak Ridge National Laboratory (ORNL) and the Georgia Institute of Technology (Georgia Tech). At ORNL, he is a distinguished R&D staff member and the founding group leader of the Future Technologies Group in the Computer Science and Mathematics Division. At Georgia Tech, Dr. Vetter is a professor in the Computational Science and Engineering School of the College of Computing, the principal investigator for the NSF XSEDE Keeneland GPU Supercomputer, and the director of the NVIDIA CUDA Center of Excellence. He earned his Ph.D in computer science from Georgia Tech. A senior member of the IEEE and a distinguished scientist member of the ACM, Dr. Vetter has published more than 130 peer-reviewed papers and has been a recipient of the ACM Gordon Bell Prize. His current research explores the role of emerging technologies in high performance computing.

作者簡介(中文翻譯)

Jeffrey S. Vetter 擔任奧克里奇國家實驗室 (ORNL) 和喬治亞理工學院 (Georgia Tech) 的聯合職位。在 ORNL，他是傑出的研發人員，並且是計算機科學與數學部門未來技術小組的創始小組領導。在喬治亞理工學院，Vetter 博士是計算機學院計算科學與工程學校的教授，NSF XSEDE Keeneland GPU 超級電腦的主要研究員，以及 NVIDIA CUDA 卓越中心的主任。他在喬治亞理工學院獲得計算機科學博士學位。作為 IEEE 的資深會員和 ACM 的傑出科學家會員，Vetter 博士已發表超過 130 篇經過同行評審的論文，並曾獲得 ACM Gordon Bell 獎。他目前的研究探索新興技術在高效能計算中的角色。

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