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Synopsis
As predicted by Gordon E. Moore in 1965, the performance of computer processors increased at an exponential rate. Nevertheless, the increases in computing speeds of single processor machines were eventually curtailed by physical constraints. This led to the development of parallel computing, and whilst progress has been made in this field, the complexities of parallel algorithm design, the deficiencies of the available software development tools and the complexity of scheduling tasks over thousands and even millions of processing nodes represent a major challenge to the construction and use of more powerful parallel systems. This book presents the proceedings of the biennial International Conference on Parallel Computing (ParCo2015), held in Edinburgh, Scotland, in September 2015. Topics covered include computer architecture and performance, programming models and methods, as well as applications. The book also includes two invited talks and a number of mini-symposia. Exascale computing holds enormous promise in terms of increasing scientific knowledge acquisition and thus contributing to the future well-being and prosperity of mankind. A number of innovative approaches to the development and use of future high-performance and high-throughput systems are to be found in this book, which will be of interest to all those whose work involves the handling and processing of large amounts of data.
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Parallel Computing: On the Road to Exascale (Advances in Parallel Computing)
Seller: killarneybooks, Inagh, CLARE, Ireland
Seller rating 5 out of 5 stars
Hardcover. Condition: Near Fine. Hardcover, xx + 850 pages, NOT ex-library. Weight 1540g. Book is clean and bright with unmarked text, free of inscriptions and stamps. Gentle indentations along the board edges. Issued without a dust jacket. -- As predicted by Gordon E. Moore in 1965, the performance of computer processors increased at an exponential rate. Nevertheless, the increases in computing speeds of single processor machines were eventually curtailed by physical constraints. This led to the development of parallel computing, and whilst progress has been made in this field, the complexities of parallel algorithm design, the deficiencies of the available software development tools and the complexity of scheduling tasks over thousands and even millions of processing nodes represent a major challenge to the construction and use of more powerful parallel systems.This book presents the proceedings of the biennial International Conference on Parallel Computing (ParCo2015), held in Edinburgh, Scotland, in September 2015. Topics covered include computer architecture and performance, programming models and methods, as well as applications. The book also includes two invited talks and a number of mini-symposia.Exascale computing holds enormous promise in terms of increasing scientific knowledge acquisition and thus contributing to the future well-being and prosperity of mankind. A number of innovative approaches to the development and use of future high-performance and high-throughput systems are to be found in this book, which will be of interest to all those whose work involves the handling and processing of large amounts of data. -- Contents: Bio-Inspired Massively-Parallel Computation; Automatic Tuning of Task Scheduling Policies on Multicore Architectures; Algorithmic Scheme for Hybrid Computing with CPU, Xeon-Phi/¿MIC and GPU; Devices on a Single Machine; A Many-Core Machine Model for Designing Algorithms with Minimum Parallelism Overheads; CPU Performance Analysis Using Score-P on PRIMEHPC FX100 Supercomputer; Performance Improvements of Polydisperse DEM Simulations Using a Loose Octree Approach; Execution Performance Analysis of the ABySS Genome Sequence Assembler Using Scalasca on the K Computer; Performance Model Based on Memory Footprint for OpenMP Memory Bound Applications; Evaluating OpenMP Performance on Thousands of Cores on the Numascale Architecture; Acceleration of Large Scale OpenFOAM Simulations on Distributed Systems with Multicore CPUs and GPUs; Optimized Variant-Selection Code Generation for Loops on Heterogeneous Multicore Systems; MPI Communication on MPPA Many-Core NoC: Design, Modeling and Performance Issues; Drivers for Device to Device Streaming; Skeletons; Portable Parallelization of the EDGE CFD Application for GPU-Based Systems Using the SkePU Skeleton Programming Library; Structured Parallel Implementation of Tree Echo State Network Model Selection; Java Implementation of Data Parallel Skeletons on GPUs; Data Parallel Patterns in Erlang/¿OpenCL; Hybrid Coarrays: A PGAS Feature for Many-Core Architectures; Lapedo: Hybrid Skeletons for Programming Heterogeneous Multicore Machines in Erlang; Accelerators; Evaluation of 3-D Stencil Codes on the Intel Xeon Phi Coprocessor; Hierarchical Parallelism in a Physical Modelling Synthesis Code; Harnessing CUDA Dynamic Parallelism for the Solution of Sparse Linear Systems; Model-Driven Development of GPU Applications; Exploring the Offload Execution Model in the Intel Xeon Phi via Matrix Inversion; Programming GPUs with C++14 and Just-In-Time Compilation; Resource Management; Active Packet Pacing as a Congestion Avoidance Technique in Interconnection Network; Hybrid Parallelization of Hyper-Dimensional Vlasov Code with OpenMP Loop Collapse Directive; Active Resource Management for Multi-Core Runtime Systems Serving Malleable Applications; Improving Energy-Efficiency of Static Schedules by Core Consolidation and Switching Off Unused Cores. Seller Inventory # 008357
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