high performance computing on graphics processing units: hgpu.org

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Understanding the impact of CUDA tuning techniques for Fermi

Yuri Torres, Arturo Gonzalez-Escribano, Diego R. Llanos

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Performance

November 10, 2011 by hgpu

Bit-Parallel Multiple Pattern Matching

Tuan Tu Tran, Mathieu Giraud, Jean-Stephane Varre

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Tags: Algorithms, ATI, ATI Radeon HD 5870, Biology, Computational biology, nVidia, nVidia GeForce GTX 480, OpenCL

November 10, 2011 by hgpu

Performance Tuning for CUDA-Accelerated Neighborhood Denoising Filters

Ziyi Zheng, Wei Xu and Klaus Mueller

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Tags: Computed tomography, CT, CUDA, Filtering, Image processing, nVidia, nVidia GeForce GTX 480, Performance, Signal denoising

November 9, 2011 by hgpu

GPU-based ray casting of stacked out-of-core height fields

Christopher Lux, Bernd Frohlich

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Tags: Computer science, GLSL, nVidia, nVidia GeForce GTX 480, OpenCL, OpenGL, Rendering, Visualization

November 9, 2011 by hgpu

A Class of Hybrid LAPACK Algorithms for Multicore and GPU Architectures

Mitch Horton, Stanimire Tomov, Jack Dongarra

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Tags: Algorithms, Computer science, Factorization, Linear Algebra, nVidia, nVidia GeForce GTX 480, Tesla M2070

November 8, 2011 by hgpu

Flocking Implementation for the Blender Game Engine

Myrna I. Merced Serrano

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Tags: Algorithms, Computer science, Games, nVidia, nVidia GeForce GTX 480, OpenCL, Thesis

November 7, 2011 by hgpu

Fast QAP Solver with ACO and Taboo Search on GPU using Move-Cost Adjusted Thread Assignment

Shigeyoshi Tsutsui, Noriyuki Fujimoto

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Tags: Algorithms, Computer science, CUDA, Evolutionary Computations, Neural and Evolutionary Computing, nVidia, nVidia GeForce GTX 480, Search

November 5, 2011 by hgpu

Transformation of Scientific Algorithms to Parallel Computing Code: Single GPU and MPI multi GPU Backends with Subdomain Support

Bjorn Meyer, Christian Plessl, Jens Forstner

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Tags: Algorithms, Code generation, CUDA, FPGA, GPU cluster, MPI, nVidia, nVidia GeForce GTX 480, Tesla C2050

November 5, 2011 by hgpu

Computing Optimal Cycle Mean in Parallel on CUDA

Jiri Barnat, Petr Bauch, Lubos Brim, Milan Ceska

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Tags: Algorithms, Computer science, CUDA, Data Structures and Algorithms, nVidia, nVidia GeForce GTX 480, Optimization

November 4, 2011 by hgpu

GrIP: A Framework for Experiments with Screen Space Algorithms

Thorsten Roth, Andre Hinkenjann

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480

November 3, 2011 by hgpu

Colour flux-tubes in static Pentaquark and Tetraquark systems

Pedro Bicudo, Nuno Cardoso, Marco Cardoso

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Source codes

Tags: High Energy Physics - Lattice, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Package, Physics, QCD, Tesla C2070

November 3, 2011 by hgpu

Multi-view Rendering Approach for Cloud-based Gaming Services

Sung-Soo Kim, Kyoung-Ill Kim, Jongho Won

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Tags: Algorithms, Cloud, Computer science, DirectX, Games, HLSL, nVidia, nVidia GeForce GTX 480, nVidia Quadro FX 4000, Rendering

November 2, 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

Understanding the impact of CUDA tuning techniques for Fermi

Bit-Parallel Multiple Pattern Matching

Performance Tuning for CUDA-Accelerated Neighborhood Denoising Filters

GPU-based ray casting of stacked out-of-core height fields

A Class of Hybrid LAPACK Algorithms for Multicore and GPU Architectures

Flocking Implementation for the Blender Game Engine

Fast QAP Solver with ACO and Taboo Search on GPU using Move-Cost Adjusted Thread Assignment

Transformation of Scientific Algorithms to Parallel Computing Code: Single GPU and MPI multi GPU Backends with Subdomain Support

Computing Optimal Cycle Mean in Parallel on CUDA

GrIP: A Framework for Experiments with Screen Space Algorithms

Colour flux-tubes in static Pentaquark and Tetraquark systems

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)