high performance computing on graphics processing units: hgpu.org

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GPU-based cone beam computed tomography

Peter B. Noel, Alan M. Walczak, Jinhui Xu, Jason J. Corso, Kenneth R. Hoffmann, Sebastian Schafer

Tags: Computed tomography, CT, CUDA, Medicine, nVidia, nVidia GeForce GTX 280

November 22, 2010 by hgpu

Efficient and Accurate Sound Propagation Using Adaptive Rectangular Decomposition

Nikunj Raghuvanshi, Rahul Narain, Ming C. Lin

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Tags: Computational acoustics, Computer science, FDTD, nVidia, nVidia GeForce GTX 280

November 22, 2010 by hgpu

Fast reduction of undersampling artifacts in radial MR angiography with 3D total variation on graphics hardware

Florian Knoll, Markus Unger, Clemens Diwoky, Christian Clason, Thomas Pock, Rudolf Stollberger

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Tags: Computer vision, CUDA, Medicine, MRI, nVidia, nVidia GeForce GTX 280

November 22, 2010 by hgpu

Parallel Position Weight Matrices Algorithms

Mathieu Giraud, Jean-Stephane Varre

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Source codes

Tags: Biology, Computer science, CUDA, nVidia, nVidia GeForce 8800, nVidia GeForce GTX 280, Package

November 22, 2010 by hgpu

Large-scale deep unsupervised learning using graphics processors

Rajat Raina, Anand Madhavan, Andrew Y. Ng

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Tags: Artificial intelligence, Computer science, CUDA, nVidia, nVidia GeForce GTX 280

November 21, 2010 by hgpu

Quantum Chemistry on Graphical Processing Units. 2. Direct Self-Consistent-Field Implementation

Ivan S. Ufimtsev, Todd J. Martinez

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Tags: Chemistry, Computational chemistry, CUDA, Molecular modeling, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280

November 21, 2010 by hgpu

Density-based clustering using graphics processors

Christian Bohm, Robert Noll, Claudia Plant, Bianca Wackersreuther

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Tags: Computer science, CUDA, Data mining, Databases, nVidia, nVidia GeForce GTX 280

November 21, 2010 by hgpu

MSA-CUDA: Multiple Sequence Alignment on Graphics Processing Units with CUDA

Yongchao Liu, Bertil Schmidt, Douglas L. Maskell

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Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GTX 280, Sequence alignment

November 21, 2010 by hgpu

Real-time adaptive fluid simulation with complex boundaries

Jian He, Xi Chen, Zhangye Wang, Chen Cao, He Yan, Qunsheng Peng

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Tags: Cg, CUDA, Fluid dynamics, Fluid-boundary interaction, nVidia, nVidia GeForce GTX 280

November 20, 2010 by hgpu

A middleware for efficient stream processing in CUDA

Shinta Nakagawa, Fumihiko Ino, Kenichi Hagihara

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

November 20, 2010 by hgpu

Active Structured Learning for High-Speed Object Detection

Christoph H. Lampert, Jan Peters

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Video tracking

November 19, 2010 by hgpu

Real time ultrasound image denoising

Fernanda Palhano Xavier de Fontes, Guillermo Andrade Barroso, Pierrick Coupe, Pierre Hellier

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GTX 280

November 19, 2010 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

GPU-based cone beam computed tomography

Efficient and Accurate Sound Propagation Using Adaptive Rectangular Decomposition

Fast reduction of undersampling artifacts in radial MR angiography with 3D total variation on graphics hardware

Parallel Position Weight Matrices Algorithms

Large-scale deep unsupervised learning using graphics processors

Quantum Chemistry on Graphical Processing Units. 2. Direct Self-Consistent-Field Implementation

Density-based clustering using graphics processors

MSA-CUDA: Multiple Sequence Alignment on Graphics Processing Units with CUDA

Real-time adaptive fluid simulation with complex boundaries

A middleware for efficient stream processing in CUDA

Active Structured Learning for High-Speed Object Detection

Real time ultrasound image denoising

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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