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Introduction to High Performance Computing for Scientists and Engineers (Paperback)
Loot Price: R2,318
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Introduction to High Performance Computing for Scientists and Engineers (Paperback)
Series: Chapman & Hall/CRC Computational Science
Expected to ship within 12 - 17 working days
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Written by high performance computing (HPC) experts, Introduction
to High Performance Computing for Scientists and Engineers provides
a solid introduction to current mainstream computer architecture,
dominant parallel programming models, and useful optimization
strategies for scientific HPC. From working in a scientific
computing center, the authors gained a unique perspective on the
requirements and attitudes of users as well as manufacturers of
parallel computers. The text first introduces the architecture of
modern cache-based microprocessors and discusses their inherent
performance limitations, before describing general optimization
strategies for serial code on cache-based architectures. It next
covers shared- and distributed-memory parallel computer
architectures and the most relevant network topologies. After
discussing parallel computing on a theoretical level, the authors
show how to avoid or ameliorate typical performance problems
connected with OpenMP. They then present cache-coherent nonuniform
memory access (ccNUMA) optimization techniques, examine
distributed-memory parallel programming with message passing
interface (MPI), and explain how to write efficient MPI code. The
final chapter focuses on hybrid programming with MPI and OpenMP.
Users of high performance computers often have no idea what factors
limit time to solution and whether it makes sense to think about
optimization at all. This book facilitates an intuitive
understanding of performance limitations without relying on heavy
computer science knowledge. It also prepares readers for studying
more advanced literature. Read about the authors' recent honor:
Informatics Europe Curriculum Best Practices Award for Parallelism
and Concurrency
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