high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming

Brook for GPUs: Stream Computing on Graphics Hardware

I. Buck, T. Foley, D. Horn, J. Sugerman, K. Mike, H. Pat

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Tags: ATI, ATI Radeon 9800 XT, ATI Stream, Brook, Computer science, High-level Languages, nVidia, nVidia GeForce FX 5900 Ultra, OpenGL, Stream Computing

November 3, 2010 by hgpu

High performance discrete Fourier transforms on graphics processors

Naga K. Govindaraju, Brandon Lloyd, Yuri Dotsenko, Burton Smith, John Manferdelli

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Tags: Computer science, CUDA, FFT, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280

November 3, 2010 by hgpu

Porting a high-order finite-element earthquake modeling application to NVIDIA graphics cards using CUDA

Dimitri Komatitsch, David Michea, Gordon Erlebacher

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Tags: CUDA, Finite element method, Geoscience, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, Spectral methods

November 3, 2010 by hgpu

Harvesting graphics power for MD simulations

J. A. van Meel, A. Arnold, D. Frenkel, Portegies S. F. Zwart, R. G. Belleman

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Tags: Condensed matter, CUDA, Molecular dynamics, nVidia, nVidia GeForce 8800 GTX, Soft Condensed Matter

November 3, 2010 by hgpu

Real-time Visual Tracker by Stream Processing

Oscar Mateo Lozano, Kazuhiro Otsuka

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Tags: CMP, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Particle filtering, Video tracking

November 3, 2010 by hgpu

Parallel, stochastic measurement of molecular surface area

D. Juba, A. Varshney

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Tags: Chemistry, Computational chemistry, CUDA, Molecular modeling, Molecular surface, nVidia, nVidia GeForce 8800 GTX

November 3, 2010 by hgpu

Neural Network Implementation Using CUDA and OpenMP

Honghoon Jang, Anjin Park, Keechul Jung

Tags: Computer science, CUDA, Neural networks, nVidia, OpenMP

November 3, 2010 by hgpu

High-Precision Numerical Simulations of Rotating Black Holes Accelerated by CUDA

Rakesh Ginjupalli, Gaurav Khanna

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Tags: Astrophysics, Computational Physics, CUDA, General Relativity and Quantum Cosmology, nVidia, Physics, Tesla C1060

November 3, 2010 by hgpu

PAPER – Accelerating parallel evaluations of ROCS

Imran S. Haque, Vijay S. Pande

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Tags: Chemistry, Computational chemistry, CUDA, Molecular overlay, nVidia, nVidia GeForce 8600 GT, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, Package, ROCS, Shape comparison

November 3, 2010 by hgpu

Real-time KD-tree construction on graphics hardware

Kun Zhou, Qiming Hou, Rui Wang, Baining Guo

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Tags: 3D Graphics and Realism, Computer science, CUDA, Image processing, KR-tree, nVidia, nVidia GeForce 8800 Ultra, Raytracing, Rendering

November 3, 2010 by hgpu

Optimal loop unrolling for GPGPU programs (thesis)

Giridhar S. Murthy

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, OpenCL, Review, Thesis

November 3, 2010 by hgpu

Optimal loop unrolling for GPGPU programs

Giridhar S. Murthy, Mahesh Ravishankar, Muthu M. Baskaran, P. Sadayappan

Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, OpenCL, Review

November 3, 2010 by hgpu

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

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

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high performance computing on graphics processing units: hgpu.org

Programming

Brook for GPUs: Stream Computing on Graphics Hardware

High performance discrete Fourier transforms on graphics processors

Porting a high-order finite-element earthquake modeling application to NVIDIA graphics cards using CUDA

Harvesting graphics power for MD simulations

Real-time Visual Tracker by Stream Processing

Parallel, stochastic measurement of molecular surface area

Neural Network Implementation Using CUDA and OpenMP

High-Precision Numerical Simulations of Rotating Black Holes Accelerated by CUDA

PAPER – Accelerating parallel evaluations of ROCS

Real-time KD-tree construction on graphics hardware

Optimal loop unrolling for GPGPU programs (thesis)

Optimal loop unrolling for GPGPU programs

Recent source codes

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

ROCm's implementation of Gromacs

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

Most viewed papers (last 30 days)