high performance computing on graphics processing units: hgpu.org

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Enabling Inter-Machine Parallelism in High-Level Languages with SEJITS and MapReduce

Michael Driscoll, Evangelos Georganas, Penporn Koanantakool

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Tags: Computer science, CUDA, MapReduce, nVidia, Programming techniques, Python, Tesla M2050

February 9, 2013 by hgpu

Heterogeneous GPU and CPU acceleration of a finite volume compressible flow solver for multiblock structured grids

Luke Fitzgerald

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Tags: Fluid dynamics, Heterogeneous systems, nVidia, nVidia GeForce GTX 580, OpenCL, Tesla M2050, Thesis

February 2, 2013 by hgpu

Selection algorithm of graphic accelerators in heterogeneous cluster for optimization computing

A. M. Lavreniuk, M. S. Lavreniuk

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Tags: Algorithms, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 260, OpenCL, Tesla M2050

January 26, 2013 by hgpu

Exploring Traditional and Emerging Parallel Programming Models using a Proxy Application

Ian Karlin, Abhinav Bhatele, Jeff Keasler, Bradford L. Chamberlain, Jonathan Cohen, Zachary DeVito, Riyaz Haque, Dan Laney, Edward Luke, Felix Wang, David Richards, Martin Schulz, Charles H. Still

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Tags: Computer science, CUDA, Heterogeneous systems, MPI, nVidia, Tesla M2050

January 13, 2013 by hgpu

Evaluating Reconfigurable Dataflow Computing Using the Himeno Benchmark

Yukinori Sato, Yasushi Inoguchi, Wayne Luk, Tadao Nakamura

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Tags: Benchmarking, Computer science, CUDA, FPGA, Heterogeneous systems, nVidia, Tesla M2050

January 11, 2013 by hgpu

Ferrofluid Simulations with the Barnes-Hut Algorithm on Graphics Processing Units

A. Yu. Polyakov, T. V. Lyutyy, S. Denisov, V. V. Reva, P. Hanggi

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Tags: Computational Physics, CUDA, Fluid dynamics, Fluid simulation, Numerical simulation, nVidia, Tesla M2050

December 14, 2012 by hgpu

Development of a CUDA Implementation of the 3D FDTD Method

Matthew Livesey, James Francis Stack, Jr., Fumie Costen, Takeshi Nanri, Norimasa Nakashima, Seiji Fujino

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Tags: CUDA, Electrodynamics, FDTD, Finite-difference time-domain, nVidia, Tesla M2050, Tesla T10

December 12, 2012 by hgpu

Implementing QR Factorization Updating Algorithms on GPUs

Robert Andrew, Nicholas Dingle

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Tags: Algorithms, Computer science, CUBLAS, CUDA, Factorization, Linear Algebra, Numerical Analysis, nVidia, Tesla M2050

December 10, 2012 by hgpu

Usage of GPU in LS-DYNA

Uli Goehner

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Tags: CAD, Computer science, CUDA, nVidia, Tesla M2050

December 5, 2012 by hgpu

A Data-Parallel Algorithmic Modelica Extension for Efficient Execution on Multi-Core Platforms

Mahder Gebremedhin, Afshin Hemmati Moghadam, Peter Fritzson, Kristian Stavaker

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Tags: Algorithms, Benchmarking, Compilers, Computer science, Matrix multiplication, nVidia, OpenCL, Tesla M2050

November 27, 2012 by hgpu

High-Performance General Solver for Extremely Large-Scale Semidefinite Programming Problems

Katsuki Fujisawa, Hitoshi Sato, Satoshi Matsuoka, Toshio Endo, Makoto Yamashita, Maho Nakata

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Tags: Algorithms, Computer science, CUDA, Factorization, nVidia, Optimization, Tesla M2050

November 21, 2012 by hgpu

Modern GPGPU Frameworks and their Application to the Physical Core of the ASUCA Weather Prediction Model

Michel Muller

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Tags: CUDA, Earth and Space Sciences, Fortran, nVidia, OpenACC, Tesla M2050, Thesis, Weather prediction, Weather Prediction Model

November 19, 2012 by hgpu

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

Enabling Inter-Machine Parallelism in High-Level Languages with SEJITS and MapReduce

Heterogeneous GPU and CPU acceleration of a finite volume compressible flow solver for multiblock structured grids

Selection algorithm of graphic accelerators in heterogeneous cluster for optimization computing

Exploring Traditional and Emerging Parallel Programming Models using a Proxy Application

Evaluating Reconfigurable Dataflow Computing Using the Himeno Benchmark

Ferrofluid Simulations with the Barnes-Hut Algorithm on Graphics Processing Units

Development of a CUDA Implementation of the 3D FDTD Method

Implementing QR Factorization Updating Algorithms on GPUs

Usage of GPU in LS-DYNA

A Data-Parallel Algorithmic Modelica Extension for Efficient Execution on Multi-Core Platforms

High-Performance General Solver for Extremely Large-Scale Semidefinite Programming Problems

Modern GPGPU Frameworks and their Application to the Physical Core of the ASUCA Weather Prediction Model

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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