high performance computing on graphics processing units: hgpu.org

hgpu.org » Applications

Graphics processing unit implementation of lattice Boltzmann models for flowing soft systems

Massimo Bernaschi, Ludovico Rossi, Roberto Benzi, Mauro Sbragaglia, Sauro Succi

Tags: Biophysics, Computer science, Lattice Boltzmann model

November 2, 2010 by hgpu

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

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

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

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

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

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

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

CFAL-bench

Comparing Parallel Functional Array Languages: Programming and Performance

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

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high performance computing on graphics processing units: hgpu.org

Applications

Graphics processing unit implementation of lattice Boltzmann models for flowing soft systems

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

3D finite difference computation on GPUs using CUDA

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

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)

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

A control-structure splitting optimization for GPGPU

GPGPU: general purpose computation on graphics hardware

Recent source codes

CFAL-bench

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

PELSI: Power-Efficient Layer-Switched Inference

Ouroboros: Virtualized Queues for dynamic memory management

MSCCL++: A GPU-driven communication stack for scalable AI applications

Benchmark compute shader of Unity against InteropUnityCUDA

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

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