high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Image and Signal Processing » Signal processing

LTE Physical Layer Implementation Using GPU Based High Performance Computing

Sangeeta Bhattacharjee, Satyendra Singh Yadav, Sarat Kumar Patra

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Tags: CUDA, FFT, nVidia, Signal processing, Tesla M2090

June 13, 2014 by hgpu

Improvement Study of EEMD Decomposition Efficiency Based on CUDA Architecture

Zhu Xiao-jun, Lv Shi-qin, Yu Xue-li

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Tags: CUDA, nVidia, Signal processing

June 9, 2014 by hgpu

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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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

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

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high performance computing on graphics processing units: hgpu.org

Applications

LTE Physical Layer Implementation Using GPU Based High Performance Computing

Improvement Study of EEMD Decomposition Efficiency Based on CUDA Architecture

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

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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