high performance computing on graphics processing units: hgpu.org

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CrystalGPU: Transparent and Efficient Utilization of GPU Power

Abdullah Gharaibeh, Samer Al-Kiswany, Matei Ripeanu

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 9800 GX2, Package, Performance

October 28, 2010 by hgpu

An integrated GPU power and performance model

Sunpyo Hong, Hyesoon Kim

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Tags: Analytical model, Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce GTX 280, Performance

October 28, 2010 by hgpu

GPU as a General Purpose Computing Resource

Qihang Huang, Zhiyi Huang, Paul Werstein, Martin Purvis

Tags: Computer science, CUDA, nVidia, Performance, Programming techniques

October 27, 2010 by hgpu

Parallelization of cellular neural networks on GPU

T. Ho, P. Lam, C. Leung

Tags: Computer science, Neural networks

October 27, 2010 by hgpu

Fast and scalable list ranking on the GPU

M. Suhail Rehman, Kishore Kothapalli, P. J. Narayanan

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Tags: Algorithms, Computer science, CUDA, List ranking, nVidia, nVidia GeForce GTX 280

October 27, 2010 by hgpu

GPU-Based FFT Computation for Multi-Gigabit WirelessHD Baseband Processing

Nicholas Hinitt, Taskin Kocak

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Tags: Computer science, CUDA, FFT, nVidia

October 27, 2010 by hgpu

Cache and bandwidth aware matrix multiplication on the GPU

J. Hall, N. Carr, J. Hart

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Tags: Algorithms, Computer science, Linear Algebra, Performance

October 27, 2010 by hgpu

Real-time mesh simplification using the GPU

Christopher Decoro, Natalya Tatarchuk

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Tags: ATI, Computer science, Mesh decimation, Mesh simplification, Rendering

October 27, 2010 by hgpu

The FFT on a GPU

Kenneth Moreland, Edward Angel

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Tags: Computer science, Computer vision, FFT, Image processing

October 27, 2010 by hgpu

MinGPU: a minimum GPU library for computer vision

Pavel Babenko, Mubarak Shah

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Tags: Computer science, Computer vision, Homography transformation, nVidia, OpenGL, Package

October 27, 2010 by hgpu

GPU-based intrinsic collision detection for deformable surfaces

Wingo S. Wong, George Baciu

Tags: Collision detection, Computer science, Triangular meshes

October 27, 2010 by hgpu

Scan primitives for GPU computing

Shubhabrata Sengupta, Mark Harris, Yao Zhang, John D. Owens

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Programming techniques, Sorting

October 27, 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

CrystalGPU: Transparent and Efficient Utilization of GPU Power

An integrated GPU power and performance model

GPU as a General Purpose Computing Resource

Parallelization of cellular neural networks on GPU

GPU-Based FFT Computation for Multi-Gigabit WirelessHD Baseband Processing

Cache and bandwidth aware matrix multiplication on the GPU

Real-time mesh simplification using the GPU

The FFT on a GPU

MinGPU: a minimum GPU library for computer vision

GPU-based intrinsic collision detection for deformable surfaces

Scan primitives for GPU computing

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

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