Facing the Multicore-Challenge [electronic resource] : Aspects of New Paradigms and Technologies in Parallel Computing / edited by Rainer Keller, David Kramer, Jan-Philipp Weiss.
Material type:
TextSeries: Lecture Notes in Computer Science ; 6310Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010Description: X, 156p. 60 illus. online resourceContent type: - text
- computer
- online resource
- 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
- 518 23
- QA297-299.4
E-BOOKS
| Home library | Call number | Materials specified | URL | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|
| IMSc Library | Link to resource | Available | EBK9352 |
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.
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