High Performance Parallel I/O
暫譯: 高效能平行輸入輸出
Prabhat, Koziol, Quincey
- 出版商: CRC
- 出版日期: 2019-10-23
- 售價: $3,090
- 貴賓價: 9.5 折 $2,936
- 語言: 英文
- 頁數: 434
- 裝訂: Quality Paper - also called trade paper
- ISBN: 036737823X
- ISBN-13: 9780367378233
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其他版本:
High Performance Parallel I/O
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相關主題
商品描述
Gain Critical Insight into the Parallel I/O Ecosystem
Parallel I/O is an integral component of modern high performance computing (HPC), especially in storing and processing very large datasets to facilitate scientific discovery. Revealing the state of the art in this field, High Performance Parallel I/O draws on insights from leading practitioners, researchers, software architects, developers, and scientists who shed light on the parallel I/O ecosystem.
The first part of the book explains how large-scale HPC facilities scope, configure, and operate systems, with an emphasis on choices of I/O hardware, middleware, and applications. The book then traverses up the I/O software stack. The second part covers the file system layer and the third part discusses middleware (such as MPIIO and PLFS) and user-facing libraries (such as Parallel-NetCDF, HDF5, ADIOS, and GLEAN).
Delving into real-world scientific applications that use the parallel I/O infrastructure, the fourth part presents case studies from particle-in-cell, stochastic, finite volume, and direct numerical simulations. The fifth part gives an overview of various profiling and benchmarking tools used by practitioners. The final part of the book addresses the implications of current trends in HPC on parallel I/O in the exascale world.
商品描述(中文翻譯)
深入了解平行 I/O 生態系統
平行 I/O 是現代高效能計算 (HPC) 的重要組成部分,特別是在儲存和處理非常大型數據集以促進科學發現方面。本書高效能平行 I/O揭示了該領域的最新技術,並匯集了來自領先實踐者、研究人員、軟體架構師、開發人員和科學家的見解,為平行 I/O 生態系統提供了深刻的洞見。
本書的第一部分解釋了大型 HPC 設施如何範圍、配置和操作系統,重點介紹 I/O 硬體、中介軟體和應用程式的選擇。接著,本書深入 I/O 軟體堆疊。第二部分涵蓋檔案系統層,第三部分則討論中介軟體(如 MPIIO 和 PLFS)及用戶面向的函式庫(如 Parallel-NetCDF、HDF5、ADIOS 和 GLEAN)。
第四部分深入探討使用平行 I/O 基礎設施的實際科學應用,並呈現來自粒子在格子 (particle-in-cell)、隨機 (stochastic)、有限體積 (finite volume) 和直接數值模擬 (direct numerical simulations) 的案例研究。第五部分概述了實踐者使用的各種性能分析和基準測試工具。本書的最後一部分探討了當前 HPC 趨勢對於 exascale 世界中平行 I/O 的影響。
作者簡介
Prabhat leads the NERSC Data and Analytics Services Group at Lawrence Berkeley National Laboratory. His main research interests include Big Data analytics, scientific data management, parallel I/O, HPC, and scientific visualization. He is also interested in atmospheric science and climate change.
Quincey Koziol is the director of core software development and HPC at The HDF Group, where he leads the HDF5 software project. His research interests include HPC, scientific data storage, and software engineering and management.
作者簡介(中文翻譯)
Prabhat 目前在洛倫斯伯克利國家實驗室領導 NERSC 數據與分析服務小組。他的主要研究興趣包括大數據分析、科學數據管理、平行 I/O、高效能計算 (HPC) 以及科學視覺化。他也對大氣科學和氣候變遷感興趣。
Quincey Koziol 是 HDF Group 的核心軟體開發與高效能計算 (HPC) 總監,負責領導 HDF5 軟體專案。他的研究興趣包括高效能計算 (HPC)、科學數據儲存以及軟體工程與管理。