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PyCUDA and PyOpenCL: A Scripting-Based Approach to GPU Run-Time Code Generation

Andreas Klockner, Nicolas Pinto, Yunsup Lee, Bryan Catanzaro, Paul Ivanov, Ahmed Fasih

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Tags: Code generation, Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8600 GT, nVidia GeForce 9400 M, nVidia GeForce GTX 295, nVidia GeForce GTX 480, OpenCL, Package, PyOpenCL, Python, Software Engineering, Tesla C1060

March 30, 2011 by hgpu

CuHMMer: A load-balanced CPU-GPU cooperative bioinformatics application

Ping Yao, Hong An, Mu Xu, Gu Liu, Xiaoqiang Li, Yaobin Wang, Wenting Han

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Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce 8800 GTX, Pattern Search

March 29, 2011 by hgpu

Multigrid on GPU: Tackling Power Grid Analysis on parallel SIMT platforms

Zhuo Feng, Peng Li

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Tags: CAD, Computational Engineering, Computer science, CUDA, nVidia, nVidia GeForce 8800 Ultra

March 29, 2011 by hgpu

5.6: GPU enhancement of FDTD-PIC plasma-wave simulations

A.J. Woods, L.D. Ludeking

Tags: CUDA, Electrodynamics, FDTD, Finite-difference time-domain, nVidia, Plasma physics

March 29, 2011 by hgpu

Multi-mass solvers for lattice QCD on GPUs

A. Alexandru, C. Pelissier, B. Gamari, F. Lee

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Tags: CUDA, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, nVidia GeForce GTX 480, Physics, QCD

March 29, 2011 by hgpu

GPU-Based Shooting and Bouncing Ray Method for Fast RCS Prediction

Yubo Tao, Hai Lin, Hujun Bao

Tags: CUDA, Electrodynamics, KD-tree, nVidia, Optics, Raytracing

March 28, 2011 by hgpu

GPU accelerated real time polarimetric image processing through the use of CUDA

H. Patel

Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce 9400 GS

March 28, 2011 by hgpu

GPU Based Spot Noise Parallel Algorithm for 2D Vector Field Visualization

Bo Qin, Fang Su, Zhanbin Wu, Jingjing Wang

Tags: Algorithms, CUDA, Image processing, nVidia, Visualization

March 28, 2011 by hgpu

GPU-Based Fast Minimum Spanning Tree Using Data Parallel Primitives

Wei Wang, Shaozhong Guo, Fan Yang, Jianxun Chen

Tags: Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GTX 260

March 28, 2011 by hgpu

A Batched GPU Algorithm for Set Intersection

Di Wu, Fan Zhang, Naiyong Ao, Fang Wang, Xiaoguang Liu, Gang Wang

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Tags: Algorithms, Computer science, CUDA, Data Structures and Algorithms, nVidia, Tesla C1060

March 28, 2011 by hgpu

GMH: A Message Passing Toolkit for GPU Clusters

Jie Chen, William Watson III, Weizhen Mao

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Tags: Computer science, CUDA, GPU cluster, MPI, nVidia, nVidia GeForce GTX 285, Package

March 28, 2011 by hgpu

Acceleration of Hessenberg Reduction for Nonsymmetric Eigenvalue Problems Using GPU

Jun-ichi Muramatsu, Shao-Liang Zhang, Yusaku Yamamoto

Tags: BLAS, Computer science, CUBLAS, CUDA, Linear Algebra, nVidia, Tesla C1060

March 28, 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

PyCUDA and PyOpenCL: A Scripting-Based Approach to GPU Run-Time Code Generation

CuHMMer: A load-balanced CPU-GPU cooperative bioinformatics application

Multigrid on GPU: Tackling Power Grid Analysis on parallel SIMT platforms

5.6: GPU enhancement of FDTD-PIC plasma-wave simulations

Multi-mass solvers for lattice QCD on GPUs

GPU-Based Shooting and Bouncing Ray Method for Fast RCS Prediction

GPU accelerated real time polarimetric image processing through the use of CUDA

GPU Based Spot Noise Parallel Algorithm for 2D Vector Field Visualization

GPU-Based Fast Minimum Spanning Tree Using Data Parallel Primitives

A Batched GPU Algorithm for Set Intersection

GMH: A Message Passing Toolkit for GPU Clusters

Acceleration of Hessenberg Reduction for Nonsymmetric Eigenvalue Problems Using GPU

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)