With recent changes in multicore and general-purpose computing
on graphics processing units, the way parallel computers are used
and programmed has drastically changed. It is important to provide
a comprehensive study on how to use such machines written by
specialists of the domain. The book provides recent research
results in high-performance computing on complex environments,
information on how to efficiently exploit heterogeneous and
hierarchical architectures and distributed systems, detailed
studies on the impact of applying heterogeneous computing practices
to real problems, and applications varying from remote sensing to
tomography. The content spans topics such as Numerical Analysis for
Heterogeneous and Multicore Systems; Optimization of Communication
for High Performance Heterogeneous and Hierarchical Platforms;
Efficient Exploitation of Heterogeneous Architectures, Hybrid
CPU+GPU, and Distributed Systems; Energy Awareness in
High-Performance Computing; and Applications of Heterogeneous
High-Performance Computing.
* Covers cutting-edge research in HPC on complex
environments, following an international collaboration of members
of the Complex HPC
* Explains how to efficiently exploit heterogeneous and
hierarchical architectures and distributed systems
* Twenty-three chapters and over 100 illustrations cover
domains such as numerical analysis, communication and storage,
applications, GPUs and accelerators, and energy efficiency
About the author
EMMANUEL JEANNOT is a Senior Research Scientist at INRIA. He received his Ph D in computer science from École Normale Supérieur de Lyon. His main research interests are processes placement, scheduling for heterogeneous environments and grids, data redistribution, algorithms, and models for parallel machines.
JULIUS ILINSKAS is a Principal Researcher and a Head of Department at Vilnius University, Lithuania. His research interests include parallel computing, optimization, data analysis, and visualization.
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