An Object-Oriented Library for Shared-Memory Parallel Simulations

Author: Philip Machanick
Edition:
Binding: Kindle Edition
ISBN: B00AQDI8P0

An Object-Oriented Library for Shared-Memory Parallel Simulations

This work was a PhD thesis completed in 1996. Get An Object-Oriented Library for Shared-Memory Parallel Simulations computer books for free.
I have decided to publish it in more accessible form because many of the tricks and techniques I developed in the early 1990s for programming high-end systems now apply to mass-market computers, thanks to the widespread adoption of multicore designs.
This book should be of interest to anyone wanting to develop performance-efficient code on any shared-memory multiprocessor. That includes multicore devices in common use such as those in desktop computers, and a wide range of parts aimed at the embedded market. Since it is a PhD thesis, a sound background in architecture and to a lesser extent in algorihtms and data structures will be helpful as a starting point in reading this book.
What Check An Object-Oriented Library for Shared-Memory Parallel Simulations our best computer books for 2013. All books are available in pdf format and downloadable from rapidshare, 4shared, and mediafire.

An Object-Oriented Library for Shared-Memory Parallel Simulations Download

I have decided to publish it in more accessible form because many of the tricks and techniques I developed in the early 1990s for programming high-end systems now apply to mass-market computers, thanks to the widespread adoption of multicore designs.
This book should be of interest to anyone wanting to develop performance-efficient code on any shared-memory multiprocessor. That includes multicore devices in common use such as those in desktop computers, and a wide range of parts aimed at the embedded market. Since it is a PhD thesis, a sound background in architecture and to a lesser extent in algorihtms and data structures will be helpful as a starting point in reading this book have decided to publish it in more accessible form because many of the tricks and techniques I developed in the early 1990s for programming high-end systems now apply to mass-market computers, thanks to the widespread adoption of multicore designs.
This book should be of interest to anyone wanting to develop performance-efficient code on any shared-memory multiprocessor. That includes multicore devices in common use such as those in desktop computers, and a wide range of parts aimed at the embedded market. Since it is a PhD thesis, a sound background in architecture and to a lesser extent in algorihtms and data structures will be helpful as a starting point in reading this book.
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