high performance computing on graphics processing units: hgpu.org

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StarPU: A Unified Platform for Task Scheduling on Heterogeneous Multicore Architectures

Cedric Augonnet, Samuel Thibault, Raymond Namyst, Pierre-Andre Wacrenier

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Tags: Computer science, CUDA, Distributed computing, nVidia, nVidia Quadro FX 4600, Package, Performance

November 28, 2010 by hgpu

Highly accelerated feature detection in proteomics data sets using modern graphics processing units

Rene Hussong, Barbara Gregorius, Andreas Tholey, Andreas Hildebrandt

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Tags: Bioinformatics, Biology, CUDA, nVidia, Package, Tesla C870

November 28, 2010 by hgpu

Fast Disk Encryption through GPGPU Acceleration

Giovanni Agosta, Alessandro Barenghi, Fabrizio D. Santis, Andrea D. Biagio, Gerardo Pelosi

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 260, Package, Security

November 26, 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

A Parallel Algorithm for Error Correction in High-Throughput Short-Read Data on CUDA-Enabled Graphics Hardware

Haixiang Shi, Bertil Schmidt, Weiguo Liu, Wolfgang Muller-Wittig

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Tags: Biology, Computer science, CUDA, Error recovery, nVidia, Package

November 22, 2010 by hgpu

Parallel Position Weight Matrices Algorithms

Mathieu Giraud, Jean-Stephane Varre

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Tags: Biology, Computer science, CUDA, nVidia, nVidia GeForce 8800, nVidia GeForce GTX 280, Package

November 22, 2010 by hgpu

GPGPU computation and visualization of three-dimensional cellular automata

Stephane Gobron, Arzu Coltekin, Herve Bonafos and Daniel Thalmann

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Tags: Cellular automata, Computer science, Medicine, nVidia, nVidia GeForce 8800 GTX, OpenGL, Package, Visualization

November 20, 2010 by hgpu

Accelerating numerical solution of stochastic differential equations with CUDA

M. Januszewski, M. Kostur

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Tags: Computational Physics, CUDA, Diffusion equation, nVidia, Package, Physics, Tesla C1060

November 19, 2010 by hgpu

A GPGPU compiler for memory optimization and parallelism management

Yi Yang, Ping Xiang, Jingfei Kong, Huiyang Zhou

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Tags: Computer science, CUBLAS, CUDA, High-level Languages, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, Package

November 18, 2010 by hgpu

GPU-enabled FREALIGN: Accelerating single particle 3D reconstruction and refinement in Fourier space on graphic processors

Xueming Li, Nikolaus Grigorieff, Yifan Cheng

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Tags: Biology, CUDA, Electron microscopy, Image reconstruction, nVidia, Package

November 18, 2010 by hgpu

Fast free-form deformation using graphics processing units

Marc Modat, Gerard R. Ridgway, Zeike A. Taylor, Manja Lehmann, Josephine Barnes, David J. Hawkes, Nick C. Fox, Sebastien Ourselin

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Tags: Biology, CUDA, Image processing, Medicine, nVidia, nVidia GeForce 8800 GTX, Package

November 17, 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

StarPU: A Unified Platform for Task Scheduling on Heterogeneous Multicore Architectures

Highly accelerated feature detection in proteomics data sets using modern graphics processing units

Fast Disk Encryption through GPGPU Acceleration

Synergistic execution of stream programs on multicores with accelerators

A Parallel Algorithm for Error Correction in High-Throughput Short-Read Data on CUDA-Enabled Graphics Hardware

Parallel Position Weight Matrices Algorithms

GPGPU computation and visualization of three-dimensional cellular automata

Accelerating numerical solution of stochastic differential equations with CUDA

A GPGPU compiler for memory optimization and parallelism management

GPU-enabled FREALIGN: Accelerating single particle 3D reconstruction and refinement in Fourier space on graphic processors

Fast free-form deformation using graphics processing units

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)