Home » Introduction to High Performance Computing for Scientists and Engineers
Product Image

Introduction to High Performance Computing for Scientists and Engineers

Georg Hager | Gerhard Wellein
€229.40
Quantity:
In stock with our UK publisher. 14-28 days
Delivery/Collection within 10-20 working days
14 days return policy Shipping & Delivery
32k L1
A01=Georg Hager
A01=Gerhard Wellein
affinity
Author_Georg Hager
Author_Gerhard Wellein
bandwidth
cache
Cache Line
cache-coherent nonuniform memory access (ccNUMA)
Category=UKC
cluster computing strategies
computational physics methods
computer architecture
distributed computing
Domain Decomposition
double
Double Precision
end
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
high performance computing
hybrid programming
IBM Blue Gene
imbalance
line
load
Load Imbalance
memory
memory hierarchy tuning
message passing interface (MPI)
microprocessors
MPI Call
MPI Code
MPI Communication
MPI Implementation
MPI Library
MPI Parallelization
MPI Process
MPI Program
MPI Rank
MPI Standard
multicore architecture
NUMA
numerical simulation techniques
Omp Parallel
OpenMP
parallel
parallel computing
parallel programming
Parallel Region
performance bottleneck identification in HPC
performance modeling
performance optimization
PPPP
precision
processor architecture analysis
scientific software optimisation
Send Buffer
sequential optimization
SGI Altix
Shared Memory Parallel Programming
Vector Cpu
Vector Triad

Product details

  • ISBN 9781138470897
  • Weight: 660g
  • Dimensions: 156 x 234mm
  • Publication Date: 28 Nov 2017
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
Secure checkout Fast Shipping Easy returns
Description

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 non-uniform 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.
About Georg Hager | Gerhard Wellein
Georg Hager is a senior research scientist in the high performance computing group of the Erlangen Regional Computing Center at the University of Erlangen-Nuremberg in Germany. Gerhard Wellein leads the high performance computing group of the Erlangen Regional Computing Center and is a professor in the Department for Computer Science at the University of Erlangen-Nuremberg in Germany.

More from this author