high performance computing on graphics processing units: hgpu.org

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Accelerating 3D Fourier migration with graphics processing units

Jin H. Zhang, Shu Q. Wang, Zhen X. Yao

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Tags: CUDA, Earth and Space Sciences, FFT, Geoscience, nVidia, nVidia GeForce GTX 280, Seismology

January 19, 2011 by hgpu

Message passing for GPGPU clusters: CudaMPI

Orion S. Lawlor

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Tags: Computer science, CUDA, GPU cluster, nVidia, nVidia GeForce GTX 280, OpenMPI, Package

January 18, 2011 by hgpu

Blasting through lattice calculations using CUDA

Kipton Barros, Ronald Babich, Richard Brower, Michael A. Clark, Claudio Rebbi

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Tags: CUDA, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, nVidia GeForce GTX 280, Physics, QCD, Tesla C870

January 18, 2011 by hgpu

An exploration of CUDA and CBEA for a gravitational wave data-analysis application (Einstein@Home)

Jens Breitbart, Gaurav Khanna

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Tags: Computational Physics, CUDA, General Relativity and Quantum Cosmology, nVidia, nVidia GeForce GTX 280, Package, Physics

January 18, 2011 by hgpu

Highly accelerated simulations of glassy dynamics using GPUs: caveats on limited floating-point precision

Peter H. Colberg, Felix Hofling

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Tags: Computational Physics, CUDA, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, Package, Physics, Soft Condensed Matter

January 18, 2011 by hgpu

CheCUDA: A Checkpoint/Restart Tool for CUDA Applications

Hiroyuki Takizawa, Katsuto Sato, Kazuhiko Komatsu,

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Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8600 M GT, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280

January 17, 2011 by hgpu

Piecewise Tri-linear Contouring for Multi-material Volumes

Powei Feng, Tao Ju, Joe D. Warren

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Tags: Computer science, GLSL, nVidia, nVidia GeForce GTX 280, OpenGL, OpenMP, Rendering

January 15, 2011 by hgpu

A Variational Model for Interactive Shape Prior Segmentation and Real-Time Tracking

Manuel Werlberger, Thomas Pock, Markus Unger, Horst Bischof

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 280, Video tracking

January 12, 2011 by hgpu

Inertial-aided KLT feature tracking for a moving camera

Myung Hwangbo, Jun-Sik Kim, Takeo Kanade

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 8800 Ultra, nVidia GeForce GTX 280, Video tracking

January 12, 2011 by hgpu

Using graphics processing units to generate random numbers

S. Hissoiny, P. Despres, B. Ozell

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Tags: CUDA, nVidia, nVidia GeForce GTX 280, Physics, Pseudo-random number generators

January 12, 2011 by hgpu

Optimization of tele-immersion codes

Albert Sidelnik, I-Jui Sung, Wanmin Wu, Maria Jesus Garzaran, Wen-mei Hwu, Klara Nahrstedt, David Padua, and Sanjay J. Patel

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 280, Optimization

January 11, 2011 by hgpu

Tapping the supercomputer under your desk: solving dynamic equilibrium models with graphics processors?

Eric M. Aldrich, Jesus Fernandez-Villaverde, A. Ronald Gallant, Juan F. Rubio-Ramirez

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Tags: CUDA, Finance, nVidia, nVidia GeForce GTX 280, Package, Tesla C1060

January 9, 2011 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

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

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

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

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

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high performance computing on graphics processing units: hgpu.org

Accelerating 3D Fourier migration with graphics processing units

Message passing for GPGPU clusters: CudaMPI

Blasting through lattice calculations using CUDA

An exploration of CUDA and CBEA for a gravitational wave data-analysis application (Einstein@Home)

Highly accelerated simulations of glassy dynamics using GPUs: caveats on limited floating-point precision

CheCUDA: A Checkpoint/Restart Tool for CUDA Applications

Piecewise Tri-linear Contouring for Multi-material Volumes

A Variational Model for Interactive Shape Prior Segmentation and Real-Time Tracking

Inertial-aided KLT feature tracking for a moving camera

Using graphics processing units to generate random numbers

Optimization of tele-immersion codes

Tapping the supercomputer under your desk: solving dynamic equilibrium models with graphics processors?

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

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

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

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

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