high performance computing on graphics processing units: hgpu.org

Programming

Fast Parallel Sorting Algorithms on GPUs

Bilal Jan, Bartolomeo Montrucchio, Carlo Ragusa, Fiaz Gul Khan, Omar Khan

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Tags: Algorithms, Computer science, Data parallelism, nVidia, nVidia GeForce GT 320 M, nVidia GeForce GTX 260, nVidia Quadro FX 6000, OpenCL, Sorting

December 4, 2012 by hgpu

A MPI back-end for the OpenACC accULL. Exploiting OpenACC semantics in Message Passing Clusters

Juan Jose Fumero

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Tags: Algorithms, Compilers, Computer science, Heterogeneous systems, MPI, OpenACC, OpenCL

December 4, 2012 by hgpu

Molecular dynamics for long-range interacting systems on Graphic Processing Units

Tarcisio M. Rocha Filho

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Tags: Algorithms, Computational Physics, CUDA, Molecular dynamics, nVidia, nVidia GeForce GTX 690, Physics, Statistical Mechanics

December 4, 2012 by hgpu

CPUless PCs inside networked control systems

Peter Fodrek, Tomas Murgas, Michal Blaho

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Tags: Algorithms, Computer science, nVidia, OpenCL, Operating systems

December 1, 2012 by hgpu

Parallel Nonbinary LDPC Decoding on GPU

Guohui Wang, Hao Shen, Bei Yin, Michael Wu, Yang Sun, Joseph R. Cavallaro

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 470, Parity-check codes

November 29, 2012 by hgpu

From Parallel Programs to Customized Parallel Processors

Pekka Jaaskelainen

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Tags: Algorithms, Compilers, Computer science, FPGA, High-level Languages, nVidia, nVidia GeForce 9400, OpenCL, Thesis

November 27, 2012 by hgpu

Optimizing 3D Convolutions for Wavelet Transforms on CPUs with SSE Units and GPUs

Brice Videau, Vania Marangozova-Martin, Luigi Genovese, Thierry Deutsch

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Tags: Algorithms, ATI, ATI Radeon HD 6970, Computer science, Heterogeneous systems, nVidia, OpenCL, Optimization, Tesla C2070, Wavelet

November 27, 2012 by hgpu

A Data-Parallel Algorithmic Modelica Extension for Efficient Execution on Multi-Core Platforms

Mahder Gebremedhin, Afshin Hemmati Moghadam, Peter Fritzson, Kristian Stavaker

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Tags: Algorithms, Benchmarking, Compilers, Computer science, Matrix multiplication, nVidia, OpenCL, Tesla M2050

November 27, 2012 by hgpu

Hardware-Accelerated Raycasting: Towards an Effective Brain MRI Visualization

A.M. Adeshina, R. Hashim, N.E.A. Khalid, Siti Z.Z. Abidin

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Tags: Algorithms, Computational Geometry, Computer science, CUDA, Magnetic resonance imaging, MRI, nVidia, nVidia GeForce GT 430, Rendering, Visualization

November 27, 2012 by hgpu

High Performance Radiation Transport Simulations: Preparing for TITAN

C. Baker, G. Davidson, T. M. Evans, S. Hamilton, J. Jarrell, W. Joubert

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, MPI, nVidia, Tesla X2090

November 26, 2012 by hgpu

Acceleration of Hardware Testing and Validation Algorithms using Graphics Processing Units

Min Li

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Tags: Algorithms, Computer science, CUDA, Electronic design automation, Fault simulation, nVidia, nVidia GeForce GTX 285, Thesis

November 25, 2012 by hgpu

Location-based Matching in Publish/Subscribe Revisited

Mohammad Sadoghi, Hans-Arno Jacobsen

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Tags: Algorithms, Computer science, CUDA, Filtering, nVidia, nVidia GeForce GTX 460, Performance

November 25, 2012 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

Programming

Fast Parallel Sorting Algorithms on GPUs

A MPI back-end for the OpenACC accULL. Exploiting OpenACC semantics in Message Passing Clusters

Molecular dynamics for long-range interacting systems on Graphic Processing Units

CPUless PCs inside networked control systems

Parallel Nonbinary LDPC Decoding on GPU

From Parallel Programs to Customized Parallel Processors

Optimizing 3D Convolutions for Wavelet Transforms on CPUs with SSE Units and GPUs

A Data-Parallel Algorithmic Modelica Extension for Efficient Execution on Multi-Core Platforms

Hardware-Accelerated Raycasting: Towards an Effective Brain MRI Visualization

High Performance Radiation Transport Simulations: Preparing for TITAN

Acceleration of Hardware Testing and Validation Algorithms using Graphics Processing Units

Location-based Matching in Publish/Subscribe Revisited

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)