high performance computing on graphics processing units: hgpu.org

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Optimizing Sweep3D for Graphic Processor Unit

Chunye Gong, Jie Liu, Zhenghu Gong, Jin Qin, Jing Xie

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Tags: Boltzmann equation, Computational Physics, CUDA, nVidia, Physics, Tesla S1070

May 25, 2011 by hgpu

GPU-Based Parallel Computing: A New Computational Approach and its Applications to Nuclear Engineering

Kai Huang, Volodymyr Kindratenko, Rizwan-uddin

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Tags: Computational Physics, CUDA, nVidia, nVidia Quadro FX 5600, Physics

May 25, 2011 by hgpu

Accelerating the Sweep3D for a Graphic Processor Unit

Chunye Gong, Jie Liu, Haitao Chen, Jing Xie, Zhenghu Gong

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Tags: Boltzmann equation, Computational Physics, CUDA, nVidia, Physics, Tesla S1070

May 25, 2011 by hgpu

Fast, large volume, GPU enabled simulations for the Ly-alpha forest: power spectrum forecasts for baryon acoustic oscillation experiments

Bradley Greig, James S. Bolton, J. Stuart B. Wyithe

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Tags: Astrophysics, Cosmology, Cosmology and Extragalactic Astrophysics, CUDA, nVidia, nVidia Quadro FX 580

May 25, 2011 by hgpu

Hierarchical fractional-step approximations and parallel kinetic Monte Carlo algorithms

Giorgos Arampatzis, Markos A. Katsoulakis, Petr Plechac, Michela Taufer, Lifan Xu

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Tags: CUDA, Mathematics, Monte Carlo simulation, Numerical Analysis, nVidia, Tesla C2050, Tesla C2070

May 25, 2011 by hgpu

A Framework for 3D Model-Based Visual Tracking Using a GPU-Accelerated Particle Filter

J. Brown, D. Capson

Tags: Computer science, CUDA, DirectX, nVidia, Particle filtering, Real-time graphics, Rendering, Video tracking

May 24, 2011 by hgpu

Parallel Computing Model of Multiple Dimensions Data Streams Canonical Correlation Analysis with GPU

Yong Zhou, Xiaowei Lu, Chuntian Cheng

Tags: Computer science, CUDA, Data mining, nVidia

May 24, 2011 by hgpu

Real-Time Optical Flow Calculations on FPGA and GPU Architectures: A Comparison Study

Jeff Chase, Brent Nelson, John Bodily, Zhaoyi Wei, Dah-Jye Lee

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Tags: Computer science, Computer vision, CUDA, FPGA, nVidia, nVidia GeForce 8800 GTX, Optical flow

May 23, 2011 by hgpu

Maximum likelihood event estimation and list-mode image reconstruction on GPU hardware

Luca Caucci, Lars R. Furenlid, Harrison H. Barrett

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Tags: CUDA, Image processing, Image reconstruction, nVidia, nVidia GeForce 9800 GX2, PET

May 23, 2011 by hgpu

GPU-based framework for distributed interactive 3D visualization of multimodal remote sensing data

Martin Lambers, Andreas Kolb

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Tags: CUDA, Earth and Space Sciences, nVidia, OpenGL, Virtual reality, Visualization

May 23, 2011 by hgpu

Accelerating Algebraic Reconstruction Using CUDA-Enabled GPU

Yuqiang Lu, Weiming Wang, Shifu Chen, Yongming Xie, Jing Qin, Wai-Man Pang, Pheng-Ann Heng

Tags: Computed tomography, CT, CUDA, Image processing, Image reconstruction, Medicine, nVidia

May 23, 2011 by hgpu

Coordinate strip-mining and kernel fusion to lower power consumption on GPU

Guibin Wang

Tags: Computer science, CUDA, Energy-efficient computing, nVidia, Programming techniques

May 22, 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

Optimizing Sweep3D for Graphic Processor Unit

GPU-Based Parallel Computing: A New Computational Approach and its Applications to Nuclear Engineering

Accelerating the Sweep3D for a Graphic Processor Unit

Fast, large volume, GPU enabled simulations for the Ly-alpha forest: power spectrum forecasts for baryon acoustic oscillation experiments

Hierarchical fractional-step approximations and parallel kinetic Monte Carlo algorithms

A Framework for 3D Model-Based Visual Tracking Using a GPU-Accelerated Particle Filter

Parallel Computing Model of Multiple Dimensions Data Streams Canonical Correlation Analysis with GPU

Real-Time Optical Flow Calculations on FPGA and GPU Architectures: A Comparison Study

Maximum likelihood event estimation and list-mode image reconstruction on GPU hardware

GPU-based framework for distributed interactive 3D visualization of multimodal remote sensing data

Accelerating Algebraic Reconstruction Using CUDA-Enabled GPU

Coordinate strip-mining and kernel fusion to lower power consumption on GPU

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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