high performance computing on graphics processing units: hgpu.org

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Efficient fault simulation on many-core processors

Michael A. Kochte, Marcel Schaal, Hans-Joachim Wunderlich, Christian G. Zoellin

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Tags: Algorithms, Computer science, CUDA, Fault simulation, nVidia, nVidia GeForce GTX 285

January 13, 2011 by hgpu

High-Quality Rendering of Varying Isosurfaces with Cubic Trivariate C1-Continuous Splines

Thomas Kalbe, Thomas Koch, Michael Goesele

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Rendering

January 12, 2011 by hgpu

Constraint-based LN-curves

Young Joon Ahn, Christoph M. Hoffmann

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Tags: Mathematics, nVidia, nVidia GeForce GTX 285

January 11, 2011 by hgpu

Revisiting sorting for GPGPU stream architectures

Duane G. Merrill, Andrew S. Grimshaw

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GT, nVidia GeForce 9800 GT, nVidia GeForce 9800 GTX, nVidia GeForce GTX 280, nVidia GeForce GTX 285, nVidia Quadro FX 5600, Sorting

January 5, 2011 by hgpu

Approximate Belief Propagation by Hierarchical Averaging of Outgoing Messages

Koichi Ogawara

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Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 285, Pattern recognition

January 4, 2011 by hgpu

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

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

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

Variational Bayesian Image Super-Resolution with GPU Acceleration

Giannis K. Chantas

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GTX 285

December 27, 2010 by hgpu

OpenCL: A Parallel Programming Standard for Heterogeneous Computing Systems

John E. Stone, David Gohara, Guochun Shi

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Tags: ATI, Computer science, nVidia, nVidia GeForce GTX 285, OpenCL, Review

December 27, 2010 by hgpu

Accelerating the local outlier factor algorithm on a GPU for intrusion detection systems

Malak Alshawabkeh, Byunghyun Jang, David R. Kaeli

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Security

December 26, 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

Efficient fault simulation on many-core processors

High-Quality Rendering of Varying Isosurfaces with Cubic Trivariate C1-Continuous Splines

Constraint-based LN-curves

Revisiting sorting for GPGPU stream architectures

Approximate Belief Propagation by Hierarchical Averaging of Outgoing Messages

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

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

Accelerating Large-Scale Convolutional Neural Networks with Parallel Graphics Multiprocessors

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

Variational Bayesian Image Super-Resolution with GPU Acceleration

OpenCL: A Parallel Programming Standard for Heterogeneous Computing Systems

Accelerating the local outlier factor algorithm on a GPU for intrusion detection systems

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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