By Alexander Supalov, Andrey Semin, Christopher Dahnken, Michael Klemm
Optimizing HPC functions with Intel® Cluster instruments takes the reader on a journey of the fast-growing sector of excessive functionality computing and the optimization of hybrid courses. those courses in general mix allotted reminiscence and shared reminiscence programming types and use the Message Passing Interface (MPI) and OpenMP for multi-threading to accomplish the final word aim of excessive functionality at low strength intake on enterprise-class workstations and compute clusters.
The booklet makes a speciality of optimization for clusters inclusive of the Intel® Xeon processor, however the optimization methodologies additionally practice to the Intel® Xeon Phi™ coprocessor and heterogeneous clusters blending either architectures. along with the academic and reference content material, the authors tackle and refute many myths and misconceptions surrounding the subject. The textual content is augmented and enriched by means of descriptions of real-life situations.
What you’ll learn
- Practical, hands-on examples express the right way to make clusters and workstations according to Intel® Xeon processors and Intel® Xeon Phi™ coprocessors "sing" in Linux environments
- How to grasp the synergy of Intel® Parallel Studio XE 2015 Cluster version, such as Intel® Composer XE, Intel® MPI Library, Intel® hint Analyzer and Collector, Intel® VTune™ Amplifier XE, and plenty of different worthy tools
- How to accomplish speedy and tangible optimization effects whereas refining your figuring out of software program layout principles
Who this e-book is for
software program pros will use this booklet to layout, strengthen, and optimize their parallel courses on Intel systems. scholars of desktop technological know-how and engineering will price the booklet as a accomplished reader, appropriate to many optimization classes provided around the globe. The amateur reader will get pleasure from an intensive grounding within the fascinating global of parallel computing.
Table of Contents
Foreword through Bronis de Supinski, CTO, Livermore Computing, LLNL
Chapter 1: No Time to learn this Book?
Chapter 2: assessment of Platform Architectures
Chapter three: Top-Down software program Optimization
Chapter four: Addressing method Bottlenecks
Chapter five: Addressing software Bottlenecks: disbursed Memory
Chapter 6: Addressing program Bottlenecks: Shared Memory
Chapter 7: Addressing software Bottlenecks: Microarchitecture
Chapter eight: software layout Considerations
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Extra info for Optimizing HPC Applications with Intel Cluster Tools: Hunting Petaflops
Intel company, “Intelligent Platform administration Interface,” http://www. intel. com/content/www/us/en/servers/ipmi/ipmi-home. html . four. “lm_sensors - Linux monitoring,” http://lm-sensors. org . five. “Ganglia tracking System,” http://ganglia. sourceforge. internet . 6. “The general In IT Infrastructure Monitoring,” http://www. nagios. org . 7. John D. McCalpin, “Memory Bandwidth and computing device stability in present excessive functionality Computers”, IEEE computing device Society Technical Committee on desktop structure (TCCA) publication, p. 19-25, December 1995. eight. “Orders of significance (data),” http://en. wikipedia. org/wiki/Orders_of_magnitude_(data) . nine. Intel company, “Intel reminiscence Latency Checker,” https://software. intel. com/en-us/articles/intelr-memory-latency-checker . 10Intel company, “Intel functionality Counter visual display unit: a greater method to degree CPU utilization,” https://software. intel. com/en-us/articles/intel-performance-counter-monitor-a-better-way-to-measure-cpu-utilization . 11Intel company, “Intel VTune Amplifier XE,” https://software. intel. com/en-us/intel-vtune-amplifier-xe . 12“IOR HPC benchmark,” http://sourceforge. net/projects/ior-sio/ . 13HDF workforce, “HDF5 domestic Page,” http://www. hdfgroup. org/HDF5/ . 14“POSIX,” http://en. wikipedia. org/wiki/POSIX . 15G. Chazarain, “Iotop,” http://guichaz. unfastened. fr/iotop/ . 16IBM, “IBM Platform Computing Elastic Storage,” www-03. ibm. com/systems/platformcomputing/products/gpfs/ . � Alexander Supalov 2014 Alexander Supalov, Andrey Semin, Michael Klemm and Christopher DahnkenOptimizing HPC purposes with Intel® Cluster Tools10. 1007/978-1-4302-6497-2_5 five. Addressing software Bottlenecks: dispensed reminiscence Alexander Supalov1 , Andrey Semin1 , Michael Klemm1 and Christopher Dahnken1 (1)Tuntenhausen, Germany the 1st software optimization point obtainable to the ever-busy functionality analyst is the disbursed reminiscence one, regularly expressed by way of the Message Passing Interface (MPI). 1 by means of its very nature, the disbursed reminiscence paradigm is worried with verbal exchange. a few humans ponder all communique as overhead—that is, whatever intrinsically destructive that should be eradicated. we have a tendency to name it “investment. ” certainly, by way of relocating facts round within the correct demeanour, you wish to get extra computational strength in go back. the most element, then, is to optimize this funding in order that your returns are maximized. The time spent at the challenge research and answer is a vital part of the general funding. as a result, you will need to realize fast what course could be profitable and what's going to be a waste of time, and to target the main promising leads. Following this pragmatic process, during this bankruptcy we are going to express how one can observe and make the most optimization possibilities within the realm of communique styles. additional chapters will step deeper into the more and more neighborhood optimization degrees. “And the place are the algorithms? ” you could ask. good, we are going to take care of them as we move alongside, simply because algorithms will move our direction at each attainable point.