high performance computing on graphics processing units: hgpu.org

Applications

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

Synthetic Aperture Radar imaging on a CUDA-enabled mobile platform

Massimiliano Fatica, Everett Phillips

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Tags: CUDA, nVidia, nVidia Jetson TK1, SAR, Signal processing

October 14, 2014 by hgpu

Performance Improvement of Multichannel Audio by Graphics Processing Units

Jose Antonio Belloch Rodriguez

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Tags: Acoustics, Algorithms, Computer science, CUDA, Databases, Filtering, nVidia, nVidia GeForce GTS 360 M, nVidia GeForce GTX 590, nVidia GeForce GTX 690, nVidia Quadro FX 5800, OpenCL, Rendering, Signal processing, Tesla C2070, Tesla K20, Thesis

October 11, 2014 by hgpu

GPU Accelerated Radio Wave Propagation Modeling Using Ray Tracing

Alaettin Zubaroglu

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Tags: CUDA, nVidia, Raytracing, Signal processing, Tesla C2075, Tesla K20, Thesis

October 4, 2014 by hgpu

Implementation of a Multi-User Detector for Satellite Return Links on a GPU Platform

Francisco Lazaro Blasco, Chen Tang

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Tags: CUDA, nVidia, Signal processing, Tesla C2070

September 30, 2014 by hgpu

Acquisition Method of Spread Spectrum Signals Based on GPU Acceleration

Liu Fei, Li Fan, Zhao Jianhui

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Tags: Algorithms, CUDA, FFT, nVidia, Signal processing, Tesla K20

September 5, 2014 by hgpu

GPU Parallel Implementation of the Approximate K-SVD Algorithm Using OpenCL

Paul Irofti, Bogdan Dumitrescu

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Tags: Algorithms, ATI, ATI FirePro V8800, OpenCL, Signal processing

August 9, 2014 by hgpu

Optimizing performance per watt on GPUs in High Performance Computing: temperature, frequency and voltage effects

D. C. Price, M. A. Clark, B. R. Barsdell, R. Babich, L. J. Greenhill

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Source codes

Tags: Astrophysics, CUDA, Energy-efficient computing, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GTX 780, Package, Performance, Signal processing, Tesla K20

August 1, 2014 by hgpu

Suitability of NVIDIA GPUs for SKA1-Low

Alessio Magro, Kristian Zarb Adami, Mike Clark, Steve Ord

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Tags: Astrophysics, CUDA, FPGA, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GTX 750 Ti, Signal processing, Tesla K40

July 18, 2014 by hgpu

Using the GPU for Fast Symmetry-Based Dense Stereo Matching in High Resolution Images

Vasco Mota, Gabriel Falcao, Michel Antunes, Joao Barreto, Urbano Nunes

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 680, Signal processing, Stereo vision, Wavelet

July 12, 2014 by hgpu

The Fast and Wideband MoM Based on GPU and Two-Path AFS Acceleration

Lan Li, Jundong Tan, Zhuo Su, Yunliang Lon

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Tags: CUDA, Integral equations, nVidia, Signal processing, Tesla C2075

June 22, 2014 by hgpu

Airborne radar clutter simulation using GPU (CUDA)

Priyanka A P, Channabasappa Baligar

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Tags: CUDA, nVidia, nVidia Quadro FX 380, Signal processing

June 15, 2014 by hgpu

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

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

Applications

Synthetic Aperture Radar imaging on a CUDA-enabled mobile platform

Performance Improvement of Multichannel Audio by Graphics Processing Units

GPU Accelerated Radio Wave Propagation Modeling Using Ray Tracing

Implementation of a Multi-User Detector for Satellite Return Links on a GPU Platform

Acquisition Method of Spread Spectrum Signals Based on GPU Acceleration

GPU Parallel Implementation of the Approximate K-SVD Algorithm Using OpenCL

Optimizing performance per watt on GPUs in High Performance Computing: temperature, frequency and voltage effects

Suitability of NVIDIA GPUs for SKA1-Low

Using the GPU for Fast Symmetry-Based Dense Stereo Matching in High Resolution Images

The Fast and Wideband MoM Based on GPU and Two-Path AFS Acceleration

Airborne radar clutter simulation using GPU (CUDA)

LTE Physical Layer Implementation Using GPU Based High Performance Computing

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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