Programming for Hybrid Multi/Manycore MPP Systems by John Levesque
This book addresses the significant challenge in designing applications to effectively use high-performance computing architectures and offers methods to more effectively restructure applications to take advantage of these powerful nodes. The authors discuss the benefit of vectorization, providing examples run on current systems.-
GPU Parallel Program Development Using CUDA
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Fundamentals of Multicore Software Development
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Methods and Applications of Autonomous Experimentation
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The Green Computing Book
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High Performance Computing
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Peer-to-Peer Computing
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Contemporary High Performance Computing
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Introduction to the Simulation of Dynamics Using Simulink
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Introduction to Scheduling
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Introduction to Reversible Computing
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Grid Computing
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The End of Error
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Software Engineering for Science
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Parallel Programming with Co-arrays
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Scientific Computing with Multicore and Accelerators
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Data-Intensive Science
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Introduction to Modeling and Simulation with MATLAB (R) and Python
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Introduction to Computational Models with Python
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Every Bit Counts
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Introduction to High Performance Computing for Scientists and Engineers
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Elements of Parallel Computing
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Fundamentals of Parallel Multicore Architecture
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Computational Methods in Plasma Physics
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Unmatched
John Levesque works in the Chief Technology Office at Cray Inc. where he is responsible for application performance on Cray’s HPC systems. He is also the director of Crays Supercomputing Center of Excellence for the Trinity System installed the end of 2016 at Los Alamos Scientific Laboratory. Prior to Trinity, he was director of the Center of Excellence at the Oak Ridge National Laboratory (ORNL). ORNL installed a 27 Petaflop Cray XK6 system, Titan which was the fastest computer in the world according to the Top500 list in 2012; and a 2.7 Petaflop Cray XT4, Jaguar which was number one in 2009. For the past 50 years, Mr. Levesque has optimized scientific application programs for successful HPC systems. He is an expert in application tuning and compiler analysis of scientific applications. He has written two previous books, on optimization for the Cray 1 in 1989 [20] and on optimization for multi-core MPP systems in 2010 [19].
Aaron Vose is an HPC software engineer who spent two years at Cray’s Supercomputing Center of Excellence at Oak Ridge National Laboratory. Aaron helped domain scientists at ORNL port and optimize scientific software to achieve maximum scalability and performance on world-class, highperformance computing resources, such as the Titan supercomputer. Aaron now works for Cray Inc. as a software engineer helping R&D to design nextgeneration computer systems. Prior to joining Cray, Aaron spent time at the National Institute for Computational Sciences (NICS) as well as the Joint Institute for Computational Sciences (JICS). There, he worked on scaling and porting bioinformatics software to the Kraken supercomputer. Aaron holds a Master’s degree in Computer Science from the University of Tennessee at Knoxville.
| SKU | Unavailable |
| ISBN 13 | 9780367572907 |
| ISBN 10 | 0367572907 |
| Title | Programming for Hybrid Multi/Manycore MPP Systems |
| Author | John Levesque |
| Series | Chapman And Hall Crc Computational Science |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Taylor & Francis Ltd |
| Year published | 2020-06-30 |
| Number of pages | 344 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |