high performance computing on graphics processing units: hgpu.org

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Parallelization of Synthetic Aperture Radar (SAR) Imaging Algorithms on GPU

B. Pandya, N. Gajjar

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Tags: CUDA, FFT, nVidia, nVidia GeForce GTX 770, Sensing, Signal processing

June 7, 2014 by hgpu

Design Tools for Accelerating Development and Usage of Multi-Core Computing Platforms

Shuvra S. Bhattacharyya

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 285, Signal processing

June 3, 2014 by hgpu

Feasibility Analysis of Bilateral Filtering by General Purpose Graphical Processing Unit Computing

Shruti S.Agrawal, C.K.Kurve

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Tags: Algorithms, CUDA, Filtering, Image processing, nVidia, Signal processing, Tesla K20

April 17, 2014 by hgpu

Parallel processing for SAR image generation in CUDA – GPGPU platform

Prajakta Tapkir, Saurabh Thakur, C. Bhattacharya

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Tags: Algorithms, CUDA, Image generation, nVidia, nVidia Quadro FX 1800, Signal processing, Tesla C870

April 7, 2014 by hgpu

High-Performance Image Synthesis for Radio Interferometry

D. Muscat

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Tags: CUDA, Earth and Space Sciences, nVidia, nVidia GeForce GTX 680, Signal processing, Thesis

March 24, 2014 by hgpu

Implementation of Parallel Fast Hartley Transform (FHT) Using Cuda

H. Bantikyan

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GT 630, Signal processing

March 21, 2014 by hgpu

A pattern recognition system for prostate mass spectra discrimination based on the CUDA parallel programming model

S. Kostopoulos, D. Glotsos, K. Sidiropoulos, P. Asvestas, D. Cavouras, I. Kalatzis

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Tags: CUDA, Medicine, nVidia, nVidia GeForce GTX 580, Pattern recognition, Signal processing

March 20, 2014 by hgpu

Initial condition for efficient mapping of level set algorithms on many-core architectures

Gabor Janos Tornai, Gyorgy Cserey

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Source codes

Tags: Differential equations, nVidia, nVidia GeForce GTX 780, OpenCL, Package, Partial differential equations, PDEs, Signal processing

March 14, 2014 by hgpu

Towards a Performance-Portable FFT Library for Heterogeneous Computing

Carlo del Mundo, Wu-chun Feng

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Tags: ATI, ATI Radeon HD 6970, ATI Radeon HD 7970, FFT, nVidia, OpenCL, Signal processing, Spectral methods, Tesla C2075, Tesla K20

February 17, 2014 by hgpu

A Scalable Hybrid FPGA/GPU FX Correlator

J. Kocz, L.J. Greenhill, B.R. Barsdell, G. Bernardi, A. Jameson, J. Craig, D. Price, G.B. Taylor, F. Schinzel, D. Werthimer

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Tags: Astrophysics, CUDA, FPGA, Instrumentation and Methods for Astrophysics, nVidia, Signal processing, Tesla C2050

February 4, 2014 by hgpu

Task migration of DSP application specified with a DFG and implemented with the BSP computing model on a CPU-GPU cluster

Farouk Mansouri, Sylvain Huet, Vincent Fristot, Dominique Houzet

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Tags: Computer science, CUDA, DSP, GPU cluster, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, nVidia Quadro 4000, Signal processing

February 2, 2014 by hgpu

Wideband Channelization for Software-Defined Radio via Mobile Graphics Processors

Vignesh Adhinarayanan, Wu-chun Feng

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Tags: ATI, ATI Radeon HD 6470 M, ATI Radeon HD 6480, OpenCL, Signal processing

January 29, 2014 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

Parallelization of Synthetic Aperture Radar (SAR) Imaging Algorithms on GPU

Design Tools for Accelerating Development and Usage of Multi-Core Computing Platforms

Feasibility Analysis of Bilateral Filtering by General Purpose Graphical Processing Unit Computing

Parallel processing for SAR image generation in CUDA – GPGPU platform

High-Performance Image Synthesis for Radio Interferometry

Implementation of Parallel Fast Hartley Transform (FHT) Using Cuda

A pattern recognition system for prostate mass spectra discrimination based on the CUDA parallel programming model

Initial condition for efficient mapping of level set algorithms on many-core architectures

Towards a Performance-Portable FFT Library for Heterogeneous Computing

A Scalable Hybrid FPGA/GPU FX Correlator

Task migration of DSP application specified with a DFG and implemented with the BSP computing model on a CPU-GPU cluster

Wideband Channelization for Software-Defined Radio via Mobile Graphics Processors

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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