high performance computing on graphics processing units: hgpu.org

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An efficient mixed-precision, hybrid CPU-GPU implementation of a fully implicit particle-in-cell algorithm

Guangye Chen, Luis Chacon, Daniel C. Barnes

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Tags: Algorithms, Computational Physics, CUDA, nVidia, nVidia GeForce GTX 580, Optimization, Particle-in-cell methods, Physics, Plasma physics

November 23, 2011 by hgpu

Superconducting proximity effect in graphene under inhomogeneous strain

Lucian Covaci, Francois Peeters

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Tags: Condensed matter, Mesoscale and Nanoscale Physics, nVidia, nVidia GeForce GTX 580, Physics

November 22, 2011 by hgpu

Advantages and GPU implementation of high-performance indexed DNA search based on suffix arrays

Gustavo Encarnacao, Nuno Sebastiao, Nuno Roma

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Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GTX 580, Suffix trees

November 13, 2011 by hgpu

Synthetic Aperture Beamformation using the GPU

Jens Munk Hansen, Dana Schaa, Jorgen Arendt Jensen

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Tags: ATI, ATI Radeon HD 5870, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, nVidia GeForce GTX 580, OpenCL, Signal processing, Ultrasound

November 11, 2011 by hgpu

Inter-cluster communication on clustered SIMD architectures

Kris Hoogendoorn

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Tags: Computer science, Hardware Architecture, nVidia, nVidia GeForce GTX 580

November 4, 2011 by hgpu

True 4D Image Denoising on the GPU

Anders Eklund, Mats Andersson, Hans Knutsson

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Tags: Algorithms, Computational Complexity, Computed tomography, CT, CUDA, FFT, Filtering, Image processing, Medicine, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 580, Tomography

November 3, 2011 by hgpu

Colour flux-tubes in static Pentaquark and Tetraquark systems

Pedro Bicudo, Nuno Cardoso, Marco Cardoso

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Tags: High Energy Physics - Lattice, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Package, Physics, QCD, Tesla C2070

November 3, 2011 by hgpu

Architecture Comparisons between Nvidia and ATI GPUs: Computation Parallelism and Data Communications

Ying Zhang, Lu Peng, Bin Li, Jih-Kwon Peir, Jianmin Chen

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Tags: ATI, ATI Radeon HD 5870, Clustering, Computer science, Energy-efficient computing, nVidia, nVidia GeForce GTX 580, OpenCL

November 1, 2011 by hgpu

Exploring Many-Core Design Templates for FPGAs and ASICs

Ilia Lebedev, Christopher Fletcher, Shaoyi Cheng, James Martin, Austin Doupnik, Daniel Burke, Mingjie Lin, John Wawrzynek

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Tags: ASIC, Bayesian, Computer science, FPGA, nVidia, nVidia GeForce GTX 580, OpenCL, Performance

October 30, 2011 by hgpu

Architecture-based Performance Evaluation of Genetic Algorithms on Multi/Many-core Systems

Long Zheng, Yanchao Lu, Mengwei Ding, Yao Shen, Minyi Guo, Song Guo

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Tags: Algorithms, Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 580, Optimization

October 28, 2011 by hgpu

Parallel Random Numbers: As Easy as 1, 2, 3

John K. Salmon, Mark A. Moraes, Ron O. Dror, and David E. Shaw

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Tags: AES, ATI, ATI Radeon HD 6970, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, OpenCL, Package, Performance, Pseudo-random number generators, Security

October 28, 2011 by hgpu

Self-calibration of geometric and radiometric parameters for cone-beam computed tomography

Wolfgang Wein, Alexander Ladikos and Armin Baumgartner

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Tags: Algorithms, ATI, ATI Radeon HD 5870, Computed tomography, CT, Image reconstruction, Medicine, nVidia, nVidia GeForce GTX 580, Tomography

October 27, 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

An efficient mixed-precision, hybrid CPU-GPU implementation of a fully implicit particle-in-cell algorithm

Superconducting proximity effect in graphene under inhomogeneous strain

Advantages and GPU implementation of high-performance indexed DNA search based on suffix arrays

Synthetic Aperture Beamformation using the GPU

Inter-cluster communication on clustered SIMD architectures

True 4D Image Denoising on the GPU

Colour flux-tubes in static Pentaquark and Tetraquark systems

Architecture Comparisons between Nvidia and ATI GPUs: Computation Parallelism and Data Communications

Exploring Many-Core Design Templates for FPGAs and ASICs

Architecture-based Performance Evaluation of Genetic Algorithms on Multi/Many-core Systems

Parallel Random Numbers: As Easy as 1, 2, 3

Self-calibration of geometric and radiometric parameters for cone-beam computed tomography

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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