By James Reinders, James Jeffers
Excessive functionality Parallelism Pearls exhibits how you can leverage parallelism on processors and coprocessors with a similar programming equipment – illustrating the simplest how one can larger faucet the computational capability of structures with Intel® Xeon Phi™ coprocessors and Intel® Xeon® processors or different multicore processors. The publication contains examples of profitable programming efforts, drawn from throughout industries and domain names similar to chemistry, engineering, and environmental technology. each one bankruptcy during this edited paintings contains particular factors of the programming thoughts used, whereas exhibiting excessive functionality effects on either Intel® Xeon Phi™ coprocessors and multicore processors. examine from dozens of recent examples and case stories illustrating "success stories" demonstrating not only the gains of those robust structures, but additionally find out how to leverage parallelism throughout those neo-heterogeneous platforms.
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Extra info for High Performance Parallelism Pearls: Multicore and Many-core Programming Approaches, Volume 1
As we will see, some of performance troubles are due to a desire to ensure clarity and simplicity in the code, while others are due to some performance-oriented features of the code being ignored. A few aspects of the reference code suffer from performance troubles because of misconceptions about how certain features of the runtime and hardware behave. Chapter organization In the rest of this chapter, we will cover some background on the reference code and the problem it solves, discuss some of the more important features of modern computer environments, and we will explore how this code can be transformed into a highly tuned evolution of that code.
MODERNIZE WITH VECTORIZATION AND DATA LOCALITY Chapter 8 provides a solid examination of data layout issues in the quest to process data as vectors. Chapters 27 and 28 provide additional education and motivation for doing data layout and vectorization work. UNDERSTANDING POWER USAGE Power usage is mentioned in enough chapters that we invited Intel’s power tuning expert, Claude Wright, to write Chapter 14. His chapter looks directly at methods to measure power including creating a simple software-based power analyzer with the Intel MPSS tools and also the difficulties of measuring idle power since you are not idle if you are busy measuring power!
RUNNING HYDRO2D Hydro2D is an implementation of Godunov’s scheme for the 2D Euler equations; given a discrete initial boundary-value problem, it advances the solution from tinitial = 0 to some specified tfinal through a series of timesteps. The code comes with a number of parameter files that are read to describe the problem being solved and that specify how the program should behave during execution (about output, blocking, etc). 4). The output of the command serves to inform the user of the parameters chosen and the solver’s progress.