high performance computing on graphics processing units: hgpu.org

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Efficient partitioning of fragment shaders for multipass rendering on programmable graphics hardware

Eric Chan, Ren Ng, Pradeep Sen, Kekoa Proudfoot, Pat Hanrahan

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Tags: ATI, ATI Radeon 8500, Computer science, Graph theory, OpenGL, Rendering, Shaders

November 24, 2010 by hgpu

Physically-based visual simulation on graphics hardware

Mark J. Harris, Greg Coombe, Thorsten Scheuermann, Anselmo Lastra

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Tags: Cellular automata, Computer science, Fluid simulation, nVidia, nVidia GeForce 3, nVidia GeForce 4, OpenGL

November 24, 2010 by hgpu

Fast volumetric deformation on general purpose hardware

C. Rezk Salama, M. Scheuering, G. Soza, G. Greiner

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Tags: 3D Graphics and Realism, Algorithms, Computer science, Image generation, nVidia, nVidia GeForce 2, OpenGL, Shaders

November 24, 2010 by hgpu

A real-time procedural shading system for programmable graphics hardware

Kekoa Proudfoot, William R. Mark, Svetoslav Tzvetkov, Pat Hanrahan

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce 3, OpenGL, Rendering, Shaders

November 24, 2010 by hgpu

High-quality pre-integrated volume rendering using hardware-accelerated pixel shading

Klaus Engel, Martin Kraus, Thomas Ertl

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Tags: 3D Graphics and Realism, Computer science, Image generation, nVidia, nVidia GeForce 3, OpenGL, Rendering, Shaders, Visualization

November 24, 2010 by hgpu

Fast matrix multiplies using graphics hardware

E. Scott Larsen, David Mcallister

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Tags: Computer science, Linear Algebra, Matrix multiplication, nVidia, nVidia GeForce 3, OpenGL

November 24, 2010 by hgpu

A practical and robust bump-mapping technique for today’s GPU’s

M. Kilgard

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Tags: Algorithms, Computer science, nVidia, OpenGL, Shaders, Visualization

November 24, 2010 by hgpu

Interactive multi-pass programmable shading

Mark S. Peercy, Marc Olano, John Airey, P. Jeffrey Ungar

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Tags: Computer science, OpenGL, Shaders, Visualization

November 24, 2010 by hgpu

Comparing GPU-based multi-volume ray casting techniques

Nicole Schubert, Ingrid Scholl

Tags: Computer science, CUDA, nVidia, Rendering, Visualization

November 24, 2010 by hgpu

Performance modeling and automatic ghost zone optimization for iterative stencil loops on GPUs

Jiayuan Meng, Kevin Skadron

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Programming techniques

November 23, 2010 by hgpu

Synergistic execution of stream programs on multicores with accelerators

Abhishek Udupa, R. Govindarajan, Matthew J. Thazhuthaveetil

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Source codes

Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8800 GTS, Package

November 23, 2010 by hgpu

Implementation of a Lattice Boltzmann kernel using the Compute Unified Device Architecture developed by nVIDIA

Jonas Tolke

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Tags: Computer science, CUDA, Lattice Boltzmann model, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce 8800 Ultra

November 23, 2010 by hgpu

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization

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

Scalable Access-Pattern Aware I/O Acceleration and Multi-Tiered Data Management for HPC and AI Workloads

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

Analyzing the Performance Portability of SYCL across CPUs, GPUs, and Hybrid Systems with Protein Database Search

tdg-benchs: benchmarks used to test the performance of taskgraph

Leveraging the potential of task-based programming with OpenMP task graphs

See all packages

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high performance computing on graphics processing units: hgpu.org

Efficient partitioning of fragment shaders for multipass rendering on programmable graphics hardware

Physically-based visual simulation on graphics hardware

Fast volumetric deformation on general purpose hardware

A real-time procedural shading system for programmable graphics hardware

High-quality pre-integrated volume rendering using hardware-accelerated pixel shading

Fast matrix multiplies using graphics hardware

A practical and robust bump-mapping technique for today’s GPU’s

Interactive multi-pass programmable shading

Comparing GPU-based multi-volume ray casting techniques

Performance modeling and automatic ghost zone optimization for iterative stencil loops on GPUs

Synergistic execution of stream programs on multicores with accelerators

Implementation of a Lattice Boltzmann kernel using the Compute Unified Device Architecture developed by nVIDIA

Recent source codes

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

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

HPX: a C++ Standard Library for Concurrency and Parallelism

TorchQC: Quantum Dynamics and Machine Learning

Matrix multiplication using Tensor Cores in CUDA

CPP Joules: Energy Measurement tool for CPP/CUDA programs

HPC-Coder-v2

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

tdg-benchs: benchmarks used to test the performance of taskgraph

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