"This book explores how to achieve high performance and scalability for big data middleware and applications"--Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Dhabaleswar K. Panda is Professor and University Distinguished Scholar of Computer Science and Engineering at the Ohio State University. Xiaoyi Lu is an Assistant Professor in the Department of Computer Science and Engineering at the University of California, Merced. Dipti Shankar is currently working at SAP, Germany.
Inhaltsangabe
Acknowledgments viii 1 Introduction 1 2 Parallel Programming Models and Systems 13 3 Parallel and Distributed Storage Systems 37 4 HPC Architectures and Trends 61 5 Opportunities and Challenges in Accelerating Big Data Computing 93 6 Benchmarking Big Data Systems 107 7 Accelerations with RDMA 121 8 Accelerations with Multicore/Accelerator Technologies 145 9 Acceleration with High-Performance Storage Technologies 159 10 Deep Learning over Big Data 175 11 Designs with Cloud Technologies 195 12 Frontier Research on High-Performance Big Data Computing 215 References 227 Index 257
Acknowledgments viii 1 Introduction 1 2 Parallel Programming Models and Systems 13 3 Parallel and Distributed Storage Systems 37 4 HPC Architectures and Trends 61 5 Opportunities and Challenges in Accelerating Big Data Computing 93 6 Benchmarking Big Data Systems 107 7 Accelerations with RDMA 121 8 Accelerations with Multicore/Accelerator Technologies 145 9 Acceleration with High-Performance Storage Technologies 159 10 Deep Learning over Big Data 175 11 Designs with Cloud Technologies 195 12 Frontier Research on High-Performance Big Data Computing 215 References 227 Index 257
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