high performance computing on graphics processing units: hgpu.org

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GPU-Based Conjugate Gradient Solver for Lattice QCD with Domain-Wall Fermions

Ting-Wai Chiu, Tung-Han Hsieh, Yao-Yuan Mao, Kenji Ogawa

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Tags: Conjugate gradient solver, CUDA, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Physics, QCD

January 4, 2011 by hgpu

Towards Large-Scale Molecular Dynamics Simulations on Graphics Processors

Joseph E. Davis, Adnan Ozsoy, Sandeep Patel, Michela Taufer

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Tags: Biology, Chemistry, CUDA, Molecular dynamics, nVidia, nVidia GeForce 9800 GX2, nVidia GeForce GTX 280, nVidia Quadro FX 5600

January 3, 2011 by hgpu

Wave field synthesis for 3D audio: architectural prospectives

Dimitris Theodoropoulos, Catalin Bogdan Ciobanu, Georgi Kuzmanov

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Tags: CUDA, FPGA, nVidia, nVidia GeForce 8600 GT, Signal processing

January 3, 2011 by hgpu

Achieving O(1) IP lookup on GPU-based software routers

Jin Zhao, Xinya Zhang, Xin Wang, Xiangyang Xue

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Tags: Computer science, CUDA, Networks, nVidia, nVidia GeForce 8800 GT

January 3, 2011 by hgpu

Cooperative Multitasking for GPU-Accelerated Grid Systems

Fumihiko Ino, Akihiro Ogita, Kentaro Oita, Kenichi Hagihara

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Tags: Computer science, CUDA, Grid, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce GTX 280

January 3, 2011 by hgpu

An Accelerated 3D Navier-Stokes Solver for Flows in Turbomachines

Tobias Brandvik, Graham Pullan

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Tags: CUDA, Fluid dynamics, GPU cluster, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce GT 200

January 2, 2011 by hgpu

Generation of Random Numbers on Graphics Processors: Forced Indentation In Silico of the Bacteriophage HK97

A. Zhmurov, K. Rybnikov, Y. Kholodov, V. Barsegov

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Tags: Biological Physics, Chemical Physics, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Physics, Pseudo-random number generators

January 2, 2011 by hgpu

Towards chip-on-chip neuroscience: fast mining of neuronal spike streams using graphics hardware

Yong Cao, Debprakash Patnaik, Sean Ponce, Jeremy Archuleta, Patrick Butler, Wu-chun Feng and Naren Ramakrishnan

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Tags: Computer science, CUDA, Data mining, Neuroscience, nVidia, nVidia GeForce GTX 280, Programming techniques

January 2, 2011 by hgpu

Accelerating Euler Equations Numerical Solver on Graphics Processing Units

Pierre Kestener, Frederic Chateau, Romain Teyssier

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Tags: CUDA, Mathematics, Numerical simulation, nVidia, nVidia GeForce 8800 GTX, Tesla S1070

January 2, 2011 by hgpu

Accelerating Large-Scale Convolutional Neural Networks with Parallel Graphics Multiprocessors

Dominik Scherer, Hannes Schulz, Sven Behnke

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Tags: Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 285

January 2, 2011 by hgpu

Parallel multigrid preconditioning on graphics processing units (GPUs) for robust power grid analysis

Zhuo Feng, Zhiyu Zeng

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Tags: Algorithms, Computational Engineering, Computer science, CUDA, nVidia, nVidia GeForce GTX 285

January 2, 2011 by hgpu

Source-to-Source Optimization of CUDA C for GPU Accelerated Cardiac Cell Modeling

Fred V. Lionetti, Andrew D. McCulloch, Scott B. Baden

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Tags: Computational biology, Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce GTX 295, Optimization

December 29, 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 Conjugate Gradient Solver for Lattice QCD with Domain-Wall Fermions

Towards Large-Scale Molecular Dynamics Simulations on Graphics Processors

Wave field synthesis for 3D audio: architectural prospectives

Achieving O(1) IP lookup on GPU-based software routers

Cooperative Multitasking for GPU-Accelerated Grid Systems

An Accelerated 3D Navier-Stokes Solver for Flows in Turbomachines

Generation of Random Numbers on Graphics Processors: Forced Indentation In Silico of the Bacteriophage HK97

Towards chip-on-chip neuroscience: fast mining of neuronal spike streams using graphics hardware

Accelerating Euler Equations Numerical Solver on Graphics Processing Units

Accelerating Large-Scale Convolutional Neural Networks with Parallel Graphics Multiprocessors

Parallel multigrid preconditioning on graphics processing units (GPUs) for robust power grid analysis

Source-to-Source Optimization of CUDA C for GPU Accelerated Cardiac Cell Modeling

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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