Infinity-用于InfiniBand的轻量级C ++ RDMA库 Infinity是ibVerbs的简单,强大,面向对象的抽象。 该库使用户可以构建使用远程直接内存访问(RDMA)的复杂应用程序,而不会牺牲性能。 它大大降低了RDMA编程入门的障碍。 Infinity为双面(发送/接收)以及双面(读/写/原子)操作提供支持。 该库是用C ++编写的,并已通过@utaal移植到Rust( )。 安装 在构建Infinity之前,必须先安装“ ibVerbs”。 输出位于``release / libinfinity.a''中。 $ make library # Build the library $ make examples # Build the examples 使用无限 使用Infinity很简单,只需要几行C ++代码。 // Create new context i
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Scientific Computing : An Introductory Survey Michael T. Heath University of Illinois at Urbana-Champaign This book presents a broad overview of numerical methods and software for students and professionals in computationally oriented disciplines who need to solve mathematical problems. It is not a traditional numerical analysis text in that it contains relatively little detailed analysis of the computational algorithms presented. Instead, I try to convey a general understanding of the techniques available for solving problems i
2022-09-13 08:37:33 1.63MB Scientific Computing An
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Computing Essentials 2017(计算机专业英语) PPT,国外好的计算机入门教材
2022-09-12 17:14:37 7.35MB 专业英语 课件
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Computing essential 原版PDF 2017年版本
2022-09-12 16:56:16 102MB 计算机导论
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Scientific Computing with Python 3(2nd) 英文无水印pdf 第2版 pdf使用FoxitReader和PDF-XChangeViewer测试可以打开
2022-09-06 22:07:08 4.18MB Scientific Computing Python
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HCIA-Cloud Computing V5.0 培训教材
2022-09-06 19:03:09 11.94MB
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Category theory for computing science是非常值得重读的数学著作,适合学习中的计算机科学家,逻辑学家,语言学家等,可以作为范畴论的入门书籍
2022-08-01 11:04:05 2.39MB Category computingscien
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This document is designed for use at the GTAP shor course held June 2005 in Crete. It can also be used after the course by participants in conjunction with the RunGTAP and GEMPACK software they take home with them from the course. And, with certain limitations mentioned in the next paragraph, the document will also be very useful to others learning to use RunGTAP.
2022-07-25 11:20:27 375KB GTAP Computing Hands
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If you need to learn CUDA but don't have experience with parallel computing, "CUDA Programming: A Developer's Introduction" offers a detailed guide to CUDA with a grounding in parallel fundamentals. It starts by introducing CUDA and bringing you up to speed on GPU parallelism and hardware, then delving into CUDA installation. Chapters on core concepts including threads, blocks, grids, and memory focus on both parallel and CUDA-specific issues. Later, the book demonstrates CUDA in practice for optimizing applications, adjusting to new hardware, and solving common problems. This title offers comprehensive introduction to parallel programming with CUDA, for readers new to both. It includes detailed instructions that help readers optimize the CUDA software development kit. It provides practical techniques that illustrate working with memory, threads, algorithms, resources, and more. It covers CUDA on multiple hardware platforms: Mac, Linux and Windows with several NVIDIA chipsets. Each chapter includes exercises to test reader knowledge.
2022-07-22 17:10:28 16.57MB CUDA Parallel Computing
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