high performance computing on graphics processing units: hgpu.org

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Accelerating Fully Homomorphic Encryption on GPUs

Wei Wang, Yin Hu, Lianmu Chen, Xinming Huang, Berk Sunar

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Tags: Algorithms, Computer science, CUDA, FFT, nVidia, Security, Tesla C2050

October 16, 2012 by hgpu

High-Performance Computing Algorithms for Constructing Inverted Files on Emerging Multicore Processors

Zheng Wei

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, Information Retrieval, List ranking, nVidia, nVidia GeForce GTX 480, Tesla C1060, Tesla C2050, Thesis

October 16, 2012 by hgpu

Geometry Based Visualization with OpenCL

Joao Pedro Martins Rogeiro

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Tags: Algorithms, Computer science, Heterogeneous systems, nVidia, nVidia Quadro FX 3800, OpenCL, Tesla C1060, Tesla C2050, Thesis, Visualization

October 15, 2012 by hgpu

Iterative Krylov solution methods for geophysical electromagnetic simulations on throughput-oriented processing units

Michael Commer, Filipe R. N. C. Maia, Gregory A. Newman

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Tags: CUDA, Earth and Space Sciences, Electrostatics, Finite difference, Geoscience, nVidia, Tesla C2050

October 15, 2012 by hgpu

Real-Time Use of GPUs in NA62 Experiment

Gianmaria Collazuol, Vincenzo Innocente, Felice Pantaleo, Marco Sozzi

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Tags: CUDA, Data acquisition, nVidia, nVidia GeForce GTX 680, Pattern recognition, Physics, Tesla C2050

October 14, 2012 by hgpu

Automatic Parallelization of Tiled Loop Nests with Enhanced Fine-Grained Parallelism on GPUs

Peng Di, Ding Ye, Yu Su, Yulei Sui, Jingling Xue

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Tags: Computer science, CUDA, nVidia, Performance, Tesla C1060, Tesla C2050

October 13, 2012 by hgpu

Techniques for Mapping Synthetic Aperture Radar Processing Algorithms to Multi-GPU Clusters

Eric Hayden, Mark Schmalz, William Chapman, Sanjay Ranka, Sartaj Sahni, Gunasekaran Seetharaman

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Tags: Algorithms, CUDA, GPU cluster, Image reconstruction, nVidia, Signal processing, Tesla C2050

October 6, 2012 by hgpu

Architectural explorations for streaming accelerators with customized memory layouts

Muhammad Shafiq

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Tags: Algorithms, Computer science, CUDA, Design space exploration, nVidia, Tesla C2050, Thesis

October 6, 2012 by hgpu

KERNELGEN – A Toolchain for Automatic GPU-centric Applications Porting

Dmitry Mikushin, Nicolas Likhogrud

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Source codes

Tags: Computer science, CUDA, nVidia, OpenCL, Package, Portability, Tesla C2050

October 3, 2012 by hgpu

Orthogononalization on a general purpose graphics processing unit with double double and quad double arithmetic

Jan Verschelde, Genady Yoffe

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Tags: Algorithms, CUDA, Extended precision, Mathematical Software, Mathematics, Numerical Analysis, nVidia, Tesla C2050

October 3, 2012 by hgpu

Compute Distance Matrices with GPU

Seongho Kim, Ming Ouyang

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Tags: Bioinformatics, Biology, Computer science, CUDA, nVidia, Tesla C2050

October 1, 2012 by hgpu

Exploiting Concurrent GPU Operations for Efficient Work Stealing on Multi-GPUs

Joao V. F. Lima, Thierry Gautier, Nicolas Maillard, Vincent Danjean

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Tags: Algorithms, Computer science, CUDA, Factorization, Linear Algebra, nVidia, Tesla C2050

September 28, 2012 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

Accelerating Fully Homomorphic Encryption on GPUs

Geometry Based Visualization with OpenCL

Iterative Krylov solution methods for geophysical electromagnetic simulations on throughput-oriented processing units

Real-Time Use of GPUs in NA62 Experiment

Automatic Parallelization of Tiled Loop Nests with Enhanced Fine-Grained Parallelism on GPUs

Techniques for Mapping Synthetic Aperture Radar Processing Algorithms to Multi-GPU Clusters

Architectural explorations for streaming accelerators with customized memory layouts

KERNELGEN – A Toolchain for Automatic GPU-centric Applications Porting

Orthogononalization on a general purpose graphics processing unit with double double and quad double arithmetic

Compute Distance Matrices with GPU

Exploiting Concurrent GPU Operations for Efficient Work Stealing on Multi-GPUs

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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