high performance computing on graphics processing units: hgpu.org

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Power and Performance Characterization of Computational Kernels on the GPU

Y. Jiao, H. Lin, P. Balaji, W. Feng

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Tags: Computer science, Energy-efficient computing, FFT, nVidia, nVidia GeForce GTX 280, OpenCL, Performance

July 9, 2011 by hgpu

Binary Mesh Partitioning for Cache-Efficient Visualization

Marc Tchiboukdjian, Vincent Danjean, Bruno Raffin

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Optimization, Visualization

July 8, 2011 by hgpu

Graphics Processing Unit Accelerated O(N) Micromagnetic Solver

Shaojing Li, Boris Livshitz, Vitaliy Lomakin

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Tags: CUDA, Electrodynamics, Finite difference, nVidia, nVidia GeForce GTX 280

July 7, 2011 by hgpu

Kernelized Renyi distance for speaker recognition

Balaji Vasan Srinivasan, Ramani Duraiswami, Dmitry N. Zotkin

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Tags: Acoustics, CUDA, nVidia, nVidia GeForce GTX 280, Signal processing, Speech recognition

July 4, 2011 by hgpu

Kd-Jump: a Path-Preserving Stackless Traversal for Faster Isosurface Raytracing on GPUs

David M. Hughes, Ik Soo Lim

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Raytracing, Visualization

June 26, 2011 by hgpu

Protein alignment algorithms with an efficient backtracking routine on multiple GPUs

Jacek Blazewicz, Wojciech Frohmberg, Michal Kierzynka, Erwin Pesch, Pawel Wojciechowski

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Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, Package, Sequence alignment, Tesla S1070

June 21, 2011 by hgpu

Coming Soon: Research in a Cloud

Pam Frost Gorder

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Tags: Chemistry, Cloud, CUDA, Molecular dynamics, nVidia, nVidia GeForce GTX 280, Package

June 18, 2011 by hgpu

Interactive Visualization of Molecular Surface Dynamics

Michael Krone, Katrin Bidmon, Thomas Ertl

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Tags: Chemistry, GLSL, Molecular dynamics, Molecular surface, nVidia, nVidia GeForce GTX 280, OpenGL, Rendering, Visualization

June 18, 2011 by hgpu

The Possibility of Fast Large-Scale Numerical Simulation Implemented with Graphics Processing Units

Chi-Jer Yu, Chii-Tung Liu

Tags: Computer science, CUDA, Finite volume method, Fluid dynamics, Numerical simulation, nVidia, nVidia GeForce GTX 280

June 17, 2011 by hgpu

Efficient High-Quality Volume Rendering of SPH Data

Roland Fraedrich, Stefan Auer, Rudiger Westermann

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Tags: Computer science, nVidia, nVidia GeForce GTX 280, Rendering, Visualization, Voxelization

June 16, 2011 by hgpu

Accelerating Genome-Wide Association Studies Using CUDA Compatible Graphics Processing Units

Rui Jiang, Feng Zeng, Wangshu Zhang, Xuebing Wu, Zhihong Yu

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Tags: Bioinformatics, Biology, CUDA, Genetics, nVidia, nVidia GeForce GTX 280

June 15, 2011 by hgpu

Stress Tensor Field Visualization for Implant Planning in Orthopedics

Christian Dick, Joachim Georgii, Rainer Burgkart, Rudiger Westermann

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Tags: Medicine, nVidia, nVidia GeForce GTX 280, Rendering, Visualization

June 8, 2011 by hgpu

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

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

See all packages

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high performance computing on graphics processing units: hgpu.org

Power and Performance Characterization of Computational Kernels on the GPU

Binary Mesh Partitioning for Cache-Efficient Visualization

Graphics Processing Unit Accelerated O(N) Micromagnetic Solver

Kernelized Renyi distance for speaker recognition

Kd-Jump: a Path-Preserving Stackless Traversal for Faster Isosurface Raytracing on GPUs

Protein alignment algorithms with an efficient backtracking routine on multiple GPUs

Interactive Visualization of Molecular Surface Dynamics

The Possibility of Fast Large-Scale Numerical Simulation Implemented with Graphics Processing Units

Efficient High-Quality Volume Rendering of SPH Data

Accelerating Genome-Wide Association Studies Using CUDA Compatible Graphics Processing Units

Stress Tensor Field Visualization for Implant Planning in Orthopedics

Recent source codes

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

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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