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Tuning a Finite Difference Computation for Parallel Vector Processors

https://doi.org/10.1109/ispdc.2012.17

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/c2011-0-69669-3openalex-snapshot

Heterogeneous Computing with OpenCL

inferredcites →https://doi.org/10.1109/icppw.2010.38openalex-snapshot

LIKWID: A Lightweight Performance-Oriented Tool Suite for x86 Multicore Environments

inferredcites →https://doi.org/10.1109/sc.2000.10015openalex-snapshot

Tiling Optimizations for 3D Scientific Computations

inferredcites →https://doi.org/10.1109/sc.2008.5214359openalex-snapshot

Benchmarking GPUs to tune dense linear algebra

inferredcites →https://doi.org/10.1137/070693199openalex-snapshot

Optimization and Performance Modeling of Stencil Computations on Modern Microprocessors

inferredcites →https://doi.org/10.1145/1088149.1088197openalex-snapshot

Cache oblivious stencil computations

inferredcites →https://doi.org/10.1145/1513895.1513905openalex-snapshot

3D finite difference computation on GPUs using CUDA

inferredcites →https://doi.org/10.1145/1815961.1816021openalex-snapshot

Debunking the 100X GPU vs. CPU myth

inferredcites →https://doi.org/10.1145/1816038.1816021openalex-snapshot

Debunking the 100X GPU vs. CPU myth

inferredcites →https://doi.org/10.1145/2063384.2063388openalex-snapshot

Peta-scale phase-field simulation for dendritic solidification on the TSUBAME 2.0 supercomputer

inferredcites →https://doi.org/10.1145/301618.301668openalex-snapshot

New tiling techniques to improve cache temporal locality

inferredcites →https://doi.org/10.48550/arxiv.1104.4874openalex-snapshot

LIKWID: Lightweight Performance Tools

inferredcites →https://doi.org/10.5555/1413370.1413402openalex-snapshot

Benchmarking GPUs to tune dense linear algebra

inferredcites →https://doi.org/10.7282/t3zg6wvvopenalex-snapshot

Time Skewing: A Value-Based Approach to Optimizing for Memory Locality

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-642-36803-5_25openalex-snapshot

Vectorized Higher Order Finite Difference Kernels

inferred← citeshttps://doi.org/10.1007/978-3-642-38750-0_10openalex-snapshot

On the GPU Performance of 3D Stencil Computations Implemented in OpenCL

inferred← citeshttps://doi.org/10.1007/s11265-015-1045-xopenalex-snapshot

Data Flow Algorithms for Processors with Vector Extensions

inferred← citeshttps://doi.org/10.1016/j.cmpb.2016.06.001openalex-snapshot

An accelerated framework for the classification of biological targets from solid-state micropore data

inferred← citeshttps://doi.org/10.1016/j.matcom.2020.05.019openalex-snapshot

BCC-Grid versus SC-Grid in the modeling of a sheet of graphene as a surface boundary condition in the context of ADE-FDTD

inferred← citeshttps://doi.org/10.1109/globalsip.2014.7032070openalex-snapshot

Data flow algorithms for processors with vector extensions: Handling actors with internal state

inferred← citeshttps://doi.org/10.1109/igarss.2015.7325819openalex-snapshot

Accelerating SAR imaging using vector extension on multi-core SIMD CPU

inferred← citeshttps://doi.org/10.1109/uemcon.2017.8248989openalex-snapshot

Study of a parallel algorithm on pipelined computation of the finite difference schemes on FPGA

inferred← citeshttps://doi.org/10.1145/3352813openalex-snapshot

DCMI

inferred← citeshttps://doi.org/10.15199/13.2015.7.6openalex-snapshot

Optymalizacja czasu obliczeń symulacji elektromagnetycznych prowadzonych metodąFDTD

inferred← citeshttps://doi.org/10.2528/pier13031910openalex-snapshot

PERFORMANCE OF FDTD METHOD CPU IMPLEMENTATIONS FOR SIMULATION OF ELECTROMAGNETIC PROCESSES

inferred← citeshttps://doi.org/10.70675/dfe4e448z43e6z411fz9ad9z2163046637acopenalex-snapshot

Parallélisation d’un code éléments finis spectraux. Application au contrôle non destructif par ultrasons

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