Buch, Englisch, Band 7174, 173 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 289 g
Aspects of New Paradigms and Technologies in Parallel Computing
Buch, Englisch, Band 7174, 173 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 289 g
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-642-30396-8
Verlag: Springer
This state-of-the-art survey features topics related to the impact of multicore, manycore, and coprocessor technologies in science and for large-scale applications in an interdisciplinary environment. The papers
cover issues of current research in mathematical modeling, design of parallel algorithms, aspects of microprocessor architecture, parallel programming languages, hardware-aware computing, heterogeneous platforms, manycore technologies, performance tuning, and requirements for large-scale applications. The contributions presented in this volume offer a survey on the state of the art, the concepts and perspectives for future developments. They are an outcome of an inspiring conference conceived and organized by the
editors at the Karlsruhe Institute Technology (KIT) in September 2011. The twelve revised full papers presented together with two contributed papers focus on combination of new aspects of microprocessor technologies, parallel applications, numerical simulation, and software development; thus they clearly show the potential of emerging technologies in the area of multicore and manycore processors that are paving the way towards personal supercomputing and very likely towards exascale computing.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Invited Contributions.-Only the First Steps of the Parallel Evolution Have Been Taken Thus Far.-A Dynamic Load Balancing Approach with SMPSuperscalar and MPI.-Parallel Programming Languages.-Performance and Productivity of New Programming Languages.-Towards High-Performance Implementations of a Custom HPC Kernel Using Intel © Array Building Blocks.-Manycore Technologies and FPGAs.-AHDAM: An Asymmetric Homogeneous with Dynamic Allocator.-Manycore Chip.-FPGA Implementation of the Robust Essential Matrix Estimation with RANSAC and the 8-Point and the 5-Point Method.-GPU Computing: Applications and Programming.-Using Free Scheduling for Programming Graphic Cards.-GPU Accelerated Computation of the Longest Common Subsequence.-Experiences with High-Level Programming Directives for Porting.-Applications to GPUs.-A GPU Algorithm for Greedy Graph Matching.-Parallel Applications and Numerical Methods.-Hybrid Parallelization of a Large-Scale Heart Model.-Efficient AMG on Heterogeneous Systems.-A GPU-Accelerated Parallel Preconditioner for the Solution of the Boltzmann Transport Equation for Semiconductors.- Parallel Smoothers for Matrix-Based Geometric Multigrid Methods on Locally Refined Meshes Using Multicore CPUs and GPUs.-
