Readership This book is devoted to the study of compiler transformations that are needed to expose the parallelism hiddenin a program. This book is notan introductory book to parallel processing, nor is it an introductory book to parallelizing compilers. Weassume thatreaders are familiar withthebooks High Performance Compilers for Parallel Computingby Wolfe 121] and Super compilers for Parallel and Vector Computers by Zima and Chapman 125], and that they want to know more about scheduling transformations. In this book we describe both task graph scheduling and loop nest scheduling....
Readership This book is devoted to the study of compiler transformations that are needed to expose the parallelism hiddenin a program. This book is no...
Full of practical examples, Introduction to Scheduling presents the basic concepts and methods, fundamental results, and recent developments of scheduling theory. With contributions from highly respected experts, it provides self-contained, easy-to-follow, yet rigorous presentations of the material.
The book first classifies scheduling problems and their complexity and then presents examples that demonstrate successful techniques for the design of efficient approximation algorithms. It also discusses classical problems, such as the famous makespan...
Full of practical examples, Introduction to Scheduling presents the basic concepts and methods, fundamental results, and recent de...
Focusing on algorithms for distributed-memory parallel architectures, this book covers theoretical models of parallel computation, parallel algorithm design for homogeneous and heterogeneous platforms, complexity and performance analysis, and essential notions of scheduling.
Focusing on algorithms for distributed-memory parallel architectures, this book covers theoretical models of parallel computation, parallel algorithm ...
This volume presents the proceedings of the joint meeting CONPAR 92 - VAPP V, held in Lyon, France, September 1992. The international Conferences on Parallel Processing (CONPAR) and the meetings on Vector and Parallel Processors in computational science (VAPP) have been held jointly since CONPAR 90 - VAPP IV, held in Zurich. The aim of the meeting presented in this volume is to review hardware and architecture developmentstogether with languages and software tools for supporting parallel processing and to highlight advances in models, algorithms, andapplications software on vector and...
This volume presents the proceedings of the joint meeting CONPAR 92 - VAPP V, held in Lyon, France, September 1992. The international Conferences on P...
Presenting a complementary perspective to standard books on algorithms, A Guide to Algorithm Design: Paradigms, Methods, and Complexity Analysis provides a roadmap for readers to determine the difficulty of an algorithmic problem by finding an optimal solution or proving complexity results. It gives a practical treatment of algorithmic complexity and guides readers in solving algorithmic problems.
Divided into three parts, the book offers a comprehensive set of problems with solutions as well as in-depth case studies that demonstrate how to assess the...
Presenting a complementary perspective to standard books on algorithms, A Guide to Algorithm Design: Paradigms, Methods, and Complexity Ana...
Readership This book is devoted to the study of compiler transformations that are needed to expose the parallelism hiddenin a program. This book is notan introductory book to parallel processing, nor is it an introductory book to parallelizing compilers. Weassume thatreaders are familiar withthebooks High Performance Compilers for Parallel Computingby Wolfe 121] and Super- compilers for Parallel and Vector Computers by Zima and Chapman 125], and that they want to know more about scheduling transformations. In this book we describe both task graph scheduling and loop nest scheduling....
Readership This book is devoted to the study of compiler transformations that are needed to expose the parallelism hiddenin a program. This book is no...
This timely text/reference presents a comprehensive overview of fault tolerance techniques for high-performance computing (HPC).
The text opens with a detailed introduction to the concepts of checkpoint protocols and scheduling algorithms, prediction, replication, silent error detection and correction, together with some application-specific techniques such as algorithm-based fault tolerance. Emphasis is placed on analytical performance models. This is then followed by a review of general-purpose techniques, including several checkpoint and rollback recovery protocols. Relevant...
This timely text/reference presents a comprehensive overview of fault tolerance techniques for high-performance computing (HPC).
This timely text/reference presents a comprehensive overview of fault tolerance techniques for high-performance computing (HPC).
The text opens with a detailed introduction to the concepts of checkpoint protocols and scheduling algorithms, prediction, replication, silent error detection and correction, together with some application-specific techniques such as algorithm-based fault tolerance. Emphasis is placed on analytical performance models. This is then followed by a review of general-purpose techniques, including several checkpoint and rollback recovery protocols. Relevant...
This timely text/reference presents a comprehensive overview of fault tolerance techniques for high-performance computing (HPC).