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Analyzing CUDA workloads using a detailed GPU simulator

Ali Bakhoda, George L. Yuan, Wilson W. L. Fung, Henry Wong, Tor M. Aamodt

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8600 GTS, PTX

October 28, 2010 by hgpu

CUDA compatible GPU cards as efficient hardware accelerators for Smith-Waterman sequence alignment

Svetlin Manavski, Giorgio Valle

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Tags: Bioinformatics, Biology, Computational biology, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Package, Sequence alignment, Smith-Waterman algorithm

October 28, 2010 by hgpu

cuInspiral: prototype gravitational waves detection pipeline fully coded on GPU using CUDA

Leone B. Bosi

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Tags: Computational Physics, CUDA, FFT, General Relativity and Quantum Cosmology, nVidia, nVidia GeForce GTX 275, Physics

October 28, 2010 by hgpu

Matched Filter Computation on FPGA, Cell and GPU

Z. K. Baker, M. B. Gokhale, J. L. Tripp

Tags: Computer science, FPGA, nVidia, nVidia GeForce 7900 GTX

October 28, 2010 by hgpu

Automatic Dynamic Task Distribution between CPU and GPU for Real-Time Systems

M. Joselli, M. Zamith, E. Clua, A. Montenegro, A. Conci, R. Leal-Toledo, L. Valente, B. Feijo, M. D'Ornellas, C. Pozzer

Tags: Computer science

October 28, 2010 by hgpu

An improved scheme of an interactive finite element model for 3D soft-tissue cutting and deformation

Wen Wu, Pheng A. Heng

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Tags: Computer science, Finite element method, Medicine, nVidia, nVidia GeForce FX 5950 Ultra, Surgical simulation

October 28, 2010 by hgpu

GpuCV: A GPU-Accelerated Framework for Image Processing and Computer Vision

Yannick Allusse, Patrick Horain, Ankit Agarwal, Cindula Saipriyadarshan

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Tags: Computer science, Computer vision, CUDA, GLSL, Image processing, nVidia, nVidia GeForce GTX 280, OpenGL, Package

October 28, 2010 by hgpu

A hybrid condensed finite element model with GPU acceleration for interactive 3D soft tissue cutting

Wen Wu, Pheng A. Heng

Tags: Computer science, Finite element method, Medicine, Surgical simulation

October 28, 2010 by hgpu

A Generic and Scalable Pipeline for GPU Tetrahedral Grid Rendering

J. Georgii, R. Westermann

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce 7900 GTX, Rendering

October 28, 2010 by hgpu

Radial Basis Function Networks GPU-Based Implementation

A. Brandstetter, A. Artusi

Tags: Computer science, Neural networks

October 28, 2010 by hgpu

Adapting a message-driven parallel application to GPU-accelerated clusters

James C. Phillips, John E. Stone, Klaus Schulten

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Tags: Computer science, CUDA, GPU cluster, Molecular dynamics, nVidia, nVidia Quadro FX 5600

October 28, 2010 by hgpu

GIST: an interactive, GPU-based level set segmentation tool for 3D medical images

Joshua E. Cates, Aaron E. Lefohn, Ross T. Whitaker

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Tags: ATI, ATI Radeon 9700 Pro, Computer science, Image processing, Medicine

October 28, 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

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high performance computing on graphics processing units: hgpu.org

Applications

Analyzing CUDA workloads using a detailed GPU simulator

CUDA compatible GPU cards as efficient hardware accelerators for Smith-Waterman sequence alignment

cuInspiral: prototype gravitational waves detection pipeline fully coded on GPU using CUDA

Matched Filter Computation on FPGA, Cell and GPU

Automatic Dynamic Task Distribution between CPU and GPU for Real-Time Systems

An improved scheme of an interactive finite element model for 3D soft-tissue cutting and deformation

GpuCV: A GPU-Accelerated Framework for Image Processing and Computer Vision

A hybrid condensed finite element model with GPU acceleration for interactive 3D soft tissue cutting

A Generic and Scalable Pipeline for GPU Tetrahedral Grid Rendering

Radial Basis Function Networks GPU-Based Implementation

Adapting a message-driven parallel application to GPU-accelerated clusters

GIST: an interactive, GPU-based level set segmentation tool for 3D medical images

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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