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Keller, Rainer.
Facing the Multicore-Challenge Aspects of New Paradigms and Technologies in Parallel Computing / [electronic resource] : edited by Rainer Keller, David Kramer, Jan-Philipp Weiss. - X, 156p. 60 illus. online resource. - Lecture Notes in Computer Science, 6310 0302-9743 ; .
Invited Talks -- Analyzing Massive Social Networks Using Multicore and Multithreaded Architectures -- MareIncognito: A Perspective towards Exascale -- The Natural Parallelism -- Computer Architecture and Parallel Programming -- RapidMind: Portability across Architectures and Its Limitations -- A Majority-Based Control Scheme for Way-Adaptable Caches -- Improved Scalability by Using Hardware-Aware Thread Affinities -- Thread Creation for Self-aware Parallel Systems -- Applications on Multicore -- G-Means Improved for Cell BE Environment -- Parallel 3D Multigrid Methods on the STI Cell BE Architecture -- Applying Classic Feedback Control for Enhancing the Fault-Tolerance of Parallel Pipeline Workflows on Multi-core Systems -- Lattice-Boltzmann Simulation of the Shallow-Water Equations with Fluid-Structure Interaction on Multi- and Manycore Processors -- FPGA vs. Multi-core CPUs vs. GPUs: Hands-On Experience with a Sorting Application -- GPGPU Computing -- Considering GPGPU for HPC Centers: Is it Worth the Effort? -- Real-Time Image Segmentation on a GPU -- Parallel Volume Rendering Implementation on Graphics Cards Using CUDA.
This state-of-the-art survey features topics related to the impact of multicore and coprocessor technologies in science and for large-scale applications in an interdisciplinary environment. The papers cover all issues of current research in mathematical modeling, design of parallel algorithms, aspects of microprocessor architecture, parallel programming languages, compilers, hardware-aware computing, heterogeneous platforms, emerging architectures, tools, 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 within the junior scientist program of Heidelberg Academy for Sciences and Humanities titled "Facing the Multicore-Challenge", held at Heidelberg, Germany, in March 2010. The 12 revised full papers presented together with the extended abstracts of 3 invited lectures focus on combination of new aspects of multicore microprocessor technologies, parallel applications, numerical simulation, software development, and tools; 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.
9783642162336
Computer science.
Software engineering.
Computer software.
Electronic data processing.
Computer science--Mathematics.
Physics.
Engineering.
Computer Science.
Numeric Computing.
Software Engineering/Programming and Operating Systems.
Algorithm Analysis and Problem Complexity.
Complexity.
Computational Mathematics and Numerical Analysis.
QA297-299.4
518
Facing the Multicore-Challenge Aspects of New Paradigms and Technologies in Parallel Computing / [electronic resource] : edited by Rainer Keller, David Kramer, Jan-Philipp Weiss. - X, 156p. 60 illus. online resource. - Lecture Notes in Computer Science, 6310 0302-9743 ; .
Invited Talks -- Analyzing Massive Social Networks Using Multicore and Multithreaded Architectures -- MareIncognito: A Perspective towards Exascale -- The Natural Parallelism -- Computer Architecture and Parallel Programming -- RapidMind: Portability across Architectures and Its Limitations -- A Majority-Based Control Scheme for Way-Adaptable Caches -- Improved Scalability by Using Hardware-Aware Thread Affinities -- Thread Creation for Self-aware Parallel Systems -- Applications on Multicore -- G-Means Improved for Cell BE Environment -- Parallel 3D Multigrid Methods on the STI Cell BE Architecture -- Applying Classic Feedback Control for Enhancing the Fault-Tolerance of Parallel Pipeline Workflows on Multi-core Systems -- Lattice-Boltzmann Simulation of the Shallow-Water Equations with Fluid-Structure Interaction on Multi- and Manycore Processors -- FPGA vs. Multi-core CPUs vs. GPUs: Hands-On Experience with a Sorting Application -- GPGPU Computing -- Considering GPGPU for HPC Centers: Is it Worth the Effort? -- Real-Time Image Segmentation on a GPU -- Parallel Volume Rendering Implementation on Graphics Cards Using CUDA.
This state-of-the-art survey features topics related to the impact of multicore and coprocessor technologies in science and for large-scale applications in an interdisciplinary environment. The papers cover all issues of current research in mathematical modeling, design of parallel algorithms, aspects of microprocessor architecture, parallel programming languages, compilers, hardware-aware computing, heterogeneous platforms, emerging architectures, tools, 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 within the junior scientist program of Heidelberg Academy for Sciences and Humanities titled "Facing the Multicore-Challenge", held at Heidelberg, Germany, in March 2010. The 12 revised full papers presented together with the extended abstracts of 3 invited lectures focus on combination of new aspects of multicore microprocessor technologies, parallel applications, numerical simulation, software development, and tools; 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.
9783642162336
Computer science.
Software engineering.
Computer software.
Electronic data processing.
Computer science--Mathematics.
Physics.
Engineering.
Computer Science.
Numeric Computing.
Software Engineering/Programming and Operating Systems.
Algorithm Analysis and Problem Complexity.
Complexity.
Computational Mathematics and Numerical Analysis.
QA297-299.4
518