High Performance Computing Programming and Applications

Covering all three levels of parallelism, this book presents techniques that address performance issues in the programming of HPC applications. Drawing on their experience with chips from AMD and systems, interconnects, and software from Cray Inc., the authors explore the problems that create bottle...

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Bibliographic Details
Main Authors: Levesque, John, Wagenbreth, Gene
Format: eBook
Language:English
Published: Milton Chapman and Hall/CRC 2010
CRC Press LLC
Chapman & Hall
CRC Press
Edition:1
Series:Chapman & Hall/CRC Computational Science
Subjects:
High performance computing
Programming
Supercomputers
Processor Counts
Clock Cycle
High Performance Computing
Array Syntax
Hardware Counter
Larger Processor Counts
Oating Point Operation
Memory Bandwidth
Cache Line
Weak Scaling
MPI Task
Load Imbalance
Clo Ck
Vector Length
Nth Column
OpenMP Region
Multicore Node
MPI Program
OMP
ENDDO ENDDO
Prefetch Instructions
Multicore Socket
MPI Application
Computational Intensity
DDR2
ISBN:1420077058, 9781420077056
Online Access:Get full text
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Abstract Covering all three levels of parallelism, this book presents techniques that address performance issues in the programming of HPC applications. Drawing on their experience with chips from AMD and systems, interconnects, and software from Cray Inc., the authors explore the problems that create bottlenecks in attaining good performance. After discussing architectural and software challenges, they outline a strategy for porting and optimizing an existing application to a large MPP system. They also introduce the use of GPGPUs for carrying out HPC computations.
AbstractList High Performance Computing: Programming and Applications presents techniques that address new performance issues in the programming of high performance computing (HPC) applications. Omitting tedious details, the book discusses hardware architecture concepts and programming techniques that are the most pertinent to application developers for achievi.
High Performance Computing: Programming and Applicationspresents techniques that address new performance issues in the programming of high performance computing (HPC) applications. Omitting tedious details, the book discusses hardware architecture concepts and programming techniques that are the most pertinent to application developers for achieving high performance. Even though the text concentrates on C and Fortran, the techniques described can be applied to other languages, such as C++ and Java. Drawing on their experience with chips from AMD and systems, interconnects, and software from Cray Inc., the authors explore the problems that create bottlenecks in attaining good performance. They cover techniques that pertain to each of the three levels of parallelism: Message passing between the nodes Shared memory parallelism on the nodes or the multiple instruction, multiple data (MIMD) units on the accelerator Vectorization on the inner level After discussing architectural and software challenges, the book outlines a strategy for porting and optimizing an existing application to a large massively parallel processor (MPP) system. With a look toward the future, it also introduces the use of general purpose graphics processing units (GPGPUs) for carrying out HPC computations. A companion website at www.hybridmulticoreoptimization.com contains all the examples from the book, along with updated timing results on the latest released processors.
Covering all three levels of parallelism, this book presents techniques that address performance issues in the programming of HPC applications. Drawing on their experience with chips from AMD and systems, interconnects, and software from Cray Inc., the authors explore the problems that create bottlenecks in attaining good performance. After discussing architectural and software challenges, they outline a strategy for porting and optimizing an existing application to a large MPP system. They also introduce the use of GPGPUs for carrying out HPC computations.
Author Levesque, John
Wagenbreth, Gene
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Copyright 2010 by Taylor & Francis Group, LLC
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DOI 10.1201/b10442
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Keywords Processor Counts
Clock Cycle
High Performance Computing
Array Syntax
Hardware Counter
Larger Processor Counts
Oating Point Operation
Memory Bandwidth
Cache Line
Weak Scaling
MPI Task
Load Imbalance
Clo Ck
Vector Length
Nth Column
OpenMP Region
Multicore Node
MPI Program
OMP
ENDDO ENDDO
Prefetch Instructions
Multicore Socket
MPI Application
Computational Intensity
DDR2
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CRC Press LLC
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CRC Press
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Snippet Covering all three levels of parallelism, this book presents techniques that address performance issues in the programming of HPC applications. Drawing on...
High Performance Computing: Programming and Applications presents techniques that address new performance issues in the programming of high performance...
High Performance Computing: Programming and Applicationspresents techniques that address new performance issues in the programming of high performance...
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SubjectTerms High performance computing
Programming
Supercomputers
Subtitle Programming and Applications
TableOfContents Front Cover -- Contents -- Introduction -- Chapter 1: Multicore Architectures -- Chapter 2: The MPP : A Combination of Hardware and Software -- Chapter 3: How Compilers Optimize Programs -- Chapter 4: Parallel Programming Paradigms -- Chapter 5: A Strategy for Porting an Application to a Large MPP System -- Chapter 6: Single Core Optimization -- Chapter 7: Parallelism across the Nodes -- Chapter 8: Node Performance -- Chapter 9: Accelerators and Conclusion -- Appendix A: Common Compiler Directives -- Appendix B: Sample MPI Environment Variables -- References -- Back Cover
Title High Performance Computing
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