high performance computing on graphics processing units: hgpu.org

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hgpu.org » paper

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

Many-core algorithms for statistical phylogenetics

Marc A. Suchard, Andrew Rambaut

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Tags: Bioinformatics, Biology, CUDA, Genetics, nVidia, nVidia GeForce GTX 280

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

November 23, 2010 by hgpu

Graphical Asian Options

Mark Joshi

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Tags: Asia options, CUDA, Finance, Monte Carlo simulation, nVidia, nVidia Quadro FX 4600

November 23, 2010 by hgpu

Challenges and opportunities of obtaining performance from multi-core CPUs and many-core GPUs

T. P. Chen, Yen-Kuang Chen

Tags: Image processing, nVidia

November 23, 2010 by hgpu

CuPBoP-AMD: Extending CUDA to AMD Platforms

CuPBoP: Making CUDA a Portable Language

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

Automated Deep Learning Optimization via DSL-Based Source Code Transformation

ROCm's implementation of Gromacs

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

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

Experiences with implementing Kokkos’ SYCL backend

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

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

Many-core algorithms for statistical phylogenetics

Synergistic execution of stream programs on multicores with accelerators

Graphical Asian Options

Challenges and opportunities of obtaining performance from multi-core CPUs and many-core GPUs

Recent source codes

CuPBoP-AMD: Extending CUDA to AMD Platforms

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

ROCm's implementation of Gromacs

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

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

Most viewed papers (last 30 days)