high performance computing on graphics processing units: hgpu.org

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FAMOUS, faster: using parallel computing techniques to accelerate the FAMOUS/HadCM3 climate model with a focus on the radiative transfer algorithm

P. Hanappe, A. Beurive, F. Laguzet, L. Steels, N. Bellouin, O. Boucher, Y. H. Yamazaki, T. Aina, M. Allen

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Tags: Algorithms, Cell processor, Earth and Space Sciences, Fortran, nVidia, nVidia GeForce GT 330 M, OpenCL, Weather prediction, Weather Prediction Model

October 20, 2011 by hgpu

Explicit platform descriptions for heterogeneous many-core architectures

Martin Sandrieser, Siegfried Benkner and Sabri Pllana

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Tags: Code generation, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, OpenCL

October 20, 2011 by hgpu

An Efficient Stream Buffer Mechanism for Dataflow Execution on Heterogeneous Platforms with GPUs

Ana Balevic, Bart Kienhuis

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Tags: Computer science, CUDA, Data parallelism, Heterogeneous systems, nVidia, Programming techniques, Tesla C2050

October 19, 2011 by hgpu

Designing the Language Liszt for Building Portable Mesh-based PDE Solvers

Zachary DeVito, Pat Hanrahan

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Tags: Code generation, Compilers, Computer science, CUDA, Heterogeneous systems, nVidia, Optimization, Package, Partial differential equations, PDEs, Performance, Programming Languages, Tesla C2050

October 19, 2011 by hgpu

Heterogeneous Accelerated Bioinformatics-Perspectives for Cancer Research

Eric A. Stahlberg, T. Steinke, M. C. Smith, S. Chandrasekaran, B. Chapman

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Tags: Bioinformatics, Biology, CUDA, FPGA, Heterogeneous systems, Medicine, nVidia, OpenCL, Review

October 19, 2011 by hgpu

Pricing composable contracts on the GP-GPU

Joakim Ahnfelt-Ronne, Michael Flaeno Werk

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Tags: Asia options, Finance, Monte Carlo simulation, nVidia, nVidia GeForce GTX 460, OpenCL, Probability, Tesla C2050, Thesis

October 19, 2011 by hgpu

AeminiumGPU: A CPU-GPU Hybrid Runtime for the Aeminium Language

Alcides Fonseca

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Tags: Compilers, Computer science, Java, nVidia, nVidia GeForce GTX 285, OpenCL, Optimization, Package, Thesis

October 19, 2011 by hgpu

The GPU Computing Revolution: From Multi-Core CPUs To Many-Core Graphics Processors

Simon McIntosh-Smith

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Review, Tesla C2050

October 19, 2011 by hgpu

GPU Parallel Collections For Scala

Kishen Das Kondabagilu Rajanna

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Tags: Compilers, Computer science, CUDA, Java, nVidia, nVidia GeForce 9800 GT, OpenCL, Package, Performance, Thesis

October 19, 2011 by hgpu

Enabling Traceability in an MDE Approach to Improve Performance of GPU Applications

Antonio Wendellde O. Rodrigues, Vincent Aranega, Anne Etien, Frederic Guyomarc'h, Jean-Luc Dekeyser

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Tags: Algorithms, Computer science, nVidia, OpenCL, Performance, Programming techniques, Tesla S1070

October 18, 2011 by hgpu

Characterization of FPGA-based High Performance Computers

Karl Savio Pimenta Pereira

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Tags: Algorithms, Benchmarking, Chemistry, Computer science, CUDA, DSP, FFT, FPGA, Molecular dynamics, nVidia, nVidia GeForce GTX 280, OpenCL, Tesla C2050, Thesis

October 18, 2011 by hgpu

Design and Performance of the OP2 Library for Unstructured Mesh Applications

Carlo Bertolli, Adam Betts, Gihan Mudalige, Mike Giles, Paul Kelly

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Tags: Code generation, Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 460, OpenCL, OpenMP, Package, Tesla C2050

October 18, 2011 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

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high performance computing on graphics processing units: hgpu.org

FAMOUS, faster: using parallel computing techniques to accelerate the FAMOUS/HadCM3 climate model with a focus on the radiative transfer algorithm

Explicit platform descriptions for heterogeneous many-core architectures

An Efficient Stream Buffer Mechanism for Dataflow Execution on Heterogeneous Platforms with GPUs

Designing the Language Liszt for Building Portable Mesh-based PDE Solvers

Heterogeneous Accelerated Bioinformatics-Perspectives for Cancer Research

Pricing composable contracts on the GP-GPU

AeminiumGPU: A CPU-GPU Hybrid Runtime for the Aeminium Language

The GPU Computing Revolution: From Multi-Core CPUs To Many-Core Graphics Processors

GPU Parallel Collections For Scala

Enabling Traceability in an MDE Approach to Improve Performance of GPU Applications

Characterization of FPGA-based High Performance Computers

Design and Performance of the OP2 Library for Unstructured Mesh Applications

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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