high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

GPU-accelerated deep shadow maps for direct volume rendering

Markus Hadwiger, Andrea Kratz, Christian Sigg, Katja Bühler

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Tags: 3D Graphics and Realism, ATI, ATI Radeon X1800, Computer science, Image generation, Raytracing, Rendering

November 2, 2010 by hgpu

GPU-Based Interactive Visualization of Billion Point Cosmological Simulations

Tamas Szalay, Volker Springel, Gerard Lemson

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Tags: Astrophysics, Graphics, nVidia, nVidia GeForce 8800 GTX

November 2, 2010 by hgpu

GPU powered CNN simulator (SIMCNN) with graphical flow based programmability

B. G. Soos, A. Rak, J. Veres, G. Cserey

Tags: Cellular neural networks, CNN, Computer science, Neural networks

November 2, 2010 by hgpu

Parallel external sorting for CUDA-enabled GPUs with load balancing and low transfer overhead

Hagen Peters, Ole Schulz-Hildebrandt, Norbert Luttenberger

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 280, Sorting

November 2, 2010 by hgpu

3D finite difference computation on GPUs using CUDA

Paulius Micikevicius

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Tags: Computer science, CUDA, Finite difference, nVidia, Tesla S1070, Wave equation

November 2, 2010 by hgpu

Linear algebra operators for GPU implementation of numerical algorithms

Jens Krüger, Rüdiger Westermann

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Tags: 3D Graphics and Realism, ATI, ATI Radeon 9800, Computer science, Finite difference, Fluid simulation, Linear Algebra, Navier-Stokes equations, NSEs, OpenGL, Raytracing, Rendering, Simulation support systems

November 2, 2010 by hgpu

Improving Performance of Matrix Multiplication and FFT on GPU

Xiang Cui, Yifeng Chen, Hong Mei

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Tags: Computer science, CUDA, FFT, Linear Algebra, Matrix multiplication, nVidia, nVidia GeForce GTX 280

November 2, 2010 by hgpu

Acceleration of finite-difference time-domain (FDTD) using graphics processor units (GPU)

S. E. Krakiwsky, L. E. Turner, M. M. Okoniewski

Tags: Electrodynamics, FDTD, Finite-difference time-domain, Microwave engineering, OpenGL, Optics

November 2, 2010 by hgpu

A control-structure splitting optimization for GPGPU

Snaider Carrillo, Jakob Siegel, Xiaoming Li

Tags: Algorithm optimization, Computer science, CUDA, nVidia, Programming techniques

November 1, 2010 by hgpu

GPU-assisted decoding of video samples represented in the YCoCg-R color space

Wesley De Neve, Dieter Van Rijsselbergen, Charles Hollemeersch, Jan De Cock, Stijn Notebaert, Rik Van de Walle

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Tags: FRExt, H.264/AVC, Image processing, nVidia GeForce 6800, nVidia GeForce FX 5900, Pixel shaders, YCoCg, YCoCg-R

November 1, 2010 by hgpu

GPGPU: general purpose computation on graphics hardware

David Luebke, Mark Harris, Jens Krüger, Tim Purcell, Naga Govindaraju, Ian Buck, Cliff Woolley, Aaron Lefohn

Tags: Computer science, Review

November 1, 2010 by hgpu

A GPU accelerated storage system

Abdullah Gharaibeh, Samer A. Kiswany, Sathish Gopalakrishnan, Matei Ripeanu

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8600, nVidia GeForce 8800 GT, nVidia GeForce 9800 GX2, Performance, Storage system

November 1, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

GPU-accelerated deep shadow maps for direct volume rendering

GPU-Based Interactive Visualization of Billion Point Cosmological Simulations

GPU powered CNN simulator (SIMCNN) with graphical flow based programmability

Parallel external sorting for CUDA-enabled GPUs with load balancing and low transfer overhead

3D finite difference computation on GPUs using CUDA

Linear algebra operators for GPU implementation of numerical algorithms

Improving Performance of Matrix Multiplication and FFT on GPU

Acceleration of finite-difference time-domain (FDTD) using graphics processor units (GPU)

A control-structure splitting optimization for GPGPU

GPU-assisted decoding of video samples represented in the YCoCg-R color space

GPGPU: general purpose computation on graphics hardware

A GPU accelerated storage system

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)