high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

Simulating vehicle kinematics with SimVis3D and Newton

Jens Wettach, Daniel Schmidt, Karsten Berns

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Tags: 3D Graphics and Realism, Computer science, OpenCL, Package, Physics-based simulation, Sensing

September 12, 2011 by hgpu

High-performance Computing in China: Research and Applications

Ninghui Sun, David Kahaner, Debbie Chen

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Tags: Computer science, GPU cluster, Hardware Architecture, Performance, Review

September 12, 2011 by hgpu

Unified Tables for Exponential and Logarithm Families

Christopher Kumar Anand, Anuroop Sharma

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Tags: Algorithms, Cell processor, Computer science, Elementary functions, Mathematics

September 11, 2011 by hgpu

Translation-invariant two-dimensional discrete wavelet transform on graphics processing units

Dietmar Wippig, Bernd Klauer

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Tags: Algorithms, ATI, ATI Radeon HD 4870, Discrete Wavelet Transform, GLSL, Image processing, nVidia, nVidia GeForce GTX 280, OpenGL, Shaders

September 11, 2011 by hgpu

SSLPV: subsurface light propagation volumes

Jesper Borlum, Brian Bunch Christensen, Thomas Kim Kjeldsen, Peter Trier Mikkelsen, Karsten Ostergaard Noe, Jens Rimestad, Jesper Mosegaard

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Tags: 3D Graphics and Realism, Algorithms, Computer science, GLSL, Heterogeneous systems, nVidia, nVidia GeForce GTX 580, OpenGL, Package, Rendering

September 11, 2011 by hgpu

High performance technique for database applications using a hybrid GPU/CPU platform

M. Affan Zidan, Talal Bonny, Khaled N. Salama

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Tags: Algorithms, Computer science, Databases, Presentation, Programming techniques, Sequence matching, Smith-Waterman algorithm

September 11, 2011 by hgpu

Collision-streams: fast GPU-based collision detection for deformable models

Min Tang, Dinesh Manocha, Jiang Lin, Ruofeng Tong

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Tags: Algorithms, ATI, ATI Radeon HD 5870, Collision detection, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, OpenCL

September 11, 2011 by hgpu

Texture compression of light maps using smooth profile functions

Jim Rasmusson, Jacob Strom, Per Wennersten, Michael Doggett, Tomas Akenine-Moller

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Tags: Algorithms, Compression, Computer science, nVidia, OpenCL, Rendering

September 11, 2011 by hgpu

Lattice-boltzmann water waves

Robert Geist, Christopher Corsi, Jerry Tessendorf, James Westall

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Tags: 3D Graphics and Realism, Computer science, Lattice Boltzmann model, nVidia, nVidia GeForce GTX 480, OpenCL, Rendering

September 11, 2011 by hgpu

A design pattern language for engineering (parallel) software: merging the PLPP and OPL projects

Kurt Keutzer, Berna L. Massingill, Timothy G. Mattson, Beverly A. Sanders

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Tags: Algorithms, Computer science, High-level Languages, Performance, Programming techniques

September 11, 2011 by hgpu

Automatic safety proofs for asynchronous memory operations

Matko Botincan, Mike Dodds, Alastair F. Donaldson, Matthew J. Parkinson

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Tags: Cell processor, Computer science, Memory

September 11, 2011 by hgpu

Lightweight modular staging: a pragmatic approach to runtime code generation and compiled DSLs

Tiark Rompf, Martin Odersky

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Tags: Code generation, Computer science, Optimization, Programming Languages, Software Engineering

September 11, 2011 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

Simulating vehicle kinematics with SimVis3D and Newton

High-performance Computing in China: Research and Applications

Unified Tables for Exponential and Logarithm Families

Translation-invariant two-dimensional discrete wavelet transform on graphics processing units

SSLPV: subsurface light propagation volumes

High performance technique for database applications using a hybrid GPU/CPU platform

Collision-streams: fast GPU-based collision detection for deformable models

Texture compression of light maps using smooth profile functions

Lattice-boltzmann water waves

A design pattern language for engineering (parallel) software: merging the PLPP and OPL projects

Automatic safety proofs for asynchronous memory operations

Lightweight modular staging: a pragmatic approach to runtime code generation and compiled DSLs

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)