Facing the Multicore-Challenge: Aspects of New Paradigms and Technologies in Parallel Computing

Gespeichert in:

Personen und Körperschaften:	Keller, Rainer (VerfasserIn), Kramer, David (HerausgeberIn), Weiss, Jan-Philipp (HerausgeberIn)
Titel:	Facing the Multicore-Challenge: Aspects of New Paradigms and Technologies in Parallel Computing/ edited by Rainer Keller, David Kramer, Jan-Philipp Weiss
Format:	E-Book Konferenzbericht
Sprache:	Englisch
veröffentlicht:	Berlin, Heidelberg Springer Berlin Heidelberg 2010
Gesamtaufnahme:	SpringerLink Lecture notes in computer science ; 6310
Schlagwörter:	Computer science Computer software Electronic data processing Computer science > Mathematics Physics Engineering Computer Science Software engineering Numerical analysis. Algorithms. Dynamics. Nonlinear theories. Mathematics Konferenzschrift > 2010 > Heidelberg
Druckausg.:	Facing the multicore-challenge ; [1], Berlin : Springer, 2010, X, 153 S.
Quelle:	Verbunddaten SWB

Details
Zusammenfassung:	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.
Umfang:	Online-Ressource (X, 156p. 60 illus, online resource)
ISBN:	9783642162336
DOI:	10.1007/978-3-642-16233-6