high performance computing on graphics processing units: hgpu.org

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A Compute Unified System Architecture for Graphics Clusters Incorporating Data Locality

Christoph Muller, Steffen Frey, Magnus Strengert, Carsten Dachsbacher, Thomas Ertl

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Tags: Computer science, CUDA, GPU cluster, nVidia, nVidia GeForce 8800 GT, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, nVidia Quadro FX 5600, Performance

May 30, 2011 by hgpu

High performance comparison-based sorting algorithm on many-core GPUs

Xiaochun Ye, Dongrui Fan, Wei Lin, Nan Yuan, Paolo Ienne

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 9800 GTX, Performance, Sorting

May 30, 2011 by hgpu

Performance Acceleration of Kernel Polynomial Method Applying Graphics Processing Units

Shixun Zhang, Shinichi Yamagiwa, Masahiko Okumura, Seiji Yunoki

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Tags: Computational Physics, Condensed matter, CUDA, nVidia, Performance, Physics, Tesla C2050

May 30, 2011 by hgpu

Performance comparison of GPU and FPGA architectures for the SVM training problem

Markos Papadonikolakis, Christos-Savvas Bouganis, George Constantinides

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Tags: Computer science, CUDA, FPGA, Machine learning, nVidia, nVidia GeForce 8500 GT, Performance

May 29, 2011 by hgpu

A Summary of Recent GPU Developments and Key Enabling Technologies for Digital Media Applications

I.M. Williams

Tags: Computer science, Performance, Review

May 29, 2011 by hgpu

Efficent multiple pass, multiple output algorithms on the GPU

Jay L. T. Cornwall

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce 6800 GT, OpenGL, Performance, Programming techniques

May 29, 2011 by hgpu

Reducing IO bandwidth for GPU based moment invariant classifier systems

C.H. Messom, A.L.C. Barczak

Tags: Computer science, Image processing, Performance

May 29, 2011 by hgpu

GPU-enabled high performance feature modeling for ATR applications

M.P. Dessauer, J. Hitchens, S. Dua

Tags: Algorithms, Computer science, Computer vision, Performance

May 27, 2011 by hgpu

The GPU on irregular computing: performance issues and contributions

Manuel Ujaldon, Joel Saltz

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Tags: Computer science, nVidia, nVidia GeForce 6800, OpenGL, Performance, Sparse matrix

May 27, 2011 by hgpu

Implementation and Performance Comparison of the Motion Compensation Kernel of the AVS Video Decoder on FPGA, GPU and Multicore Processors

M. Owaida, N. Bellas, C.D. Antonopoulos, K. Daloukas, Ch. Antoniadis, K. Krommydas, G. Tsoumblekas

Tags: FPGA, Image processing, Motion compensation, Performance

May 26, 2011 by hgpu

Speculative Execution on GPU: An Exploratory Study

Shaoshan Liu, Christine Eisenbeis, Jean-Luc Gaudiot

Tags: Computer science, Performance, Programming techniques

May 25, 2011 by hgpu

Performance Analysis of a Hybrid MPI/CUDA Implementation of the NAS-LU Benchmark

S.J. Pennycook, S.D. Hammond, S.A. Jarvis, G.R. Mudalige

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Tags: Benchmarking, Computer science, CUDA, MPI, nVidia, Performance, Tesla C1060, Tesla C2050

May 25, 2011 by hgpu

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

Experiences with implementing Kokkos’ SYCL backend

ROCm's implementation of Gromacs

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

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

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

See all packages

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high performance computing on graphics processing units: hgpu.org

A Compute Unified System Architecture for Graphics Clusters Incorporating Data Locality

High performance comparison-based sorting algorithm on many-core GPUs

Performance Acceleration of Kernel Polynomial Method Applying Graphics Processing Units

Performance comparison of GPU and FPGA architectures for the SVM training problem

A Summary of Recent GPU Developments and Key Enabling Technologies for Digital Media Applications

Efficent multiple pass, multiple output algorithms on the GPU

Reducing IO bandwidth for GPU based moment invariant classifier systems

GPU-enabled high performance feature modeling for ATR applications

The GPU on irregular computing: performance issues and contributions

Implementation and Performance Comparison of the Motion Compensation Kernel of the AVS Video Decoder on FPGA, GPU and Multicore Processors

Speculative Execution on GPU: An Exploratory Study

Performance Analysis of a Hybrid MPI/CUDA Implementation of the NAS-LU Benchmark

Recent source codes

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

ROCm's implementation of Gromacs

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

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

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