high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Image and Signal Processing

GPU Based Implementation of Recursive Digital Filtering Algorithms

Dong-hwan Lee, Wonyong Sung

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Tags: Algorithms, CUDA, Filtering, nVidia, nVidia GeForce GTX 285, Signal processing

July 15, 2013 by hgpu

The CUDA Handbook: A Comprehensive Guide to GPU Programming

Nicholas Wilt

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Tags: Book, Computer science, CUDA, Image processing, N-body simulation, nVidia, Overview, Package

July 13, 2013 by hgpu

Scalable Techniques for Scheduling and Mapping DSP Applications onto Embedded Multiprocessor Platforms

George Zaki

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Tags: Algorithms, Code generation, Computational Engineering, CUDA, Data parallelism, DSP, Heterogeneous systems, nVidia, nVidia GeForce GTX 260, Signal processing, Thesis

July 12, 2013 by hgpu

Exploiting Data Parallelism in the yConvex Hypergraph Algorithm for Image Representation using GPGPUs

Saurabh Jha, Tejaswi Agarwal, B. Rajesh Kanna

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Tags: Algorithms, Computer science, CUDA, Data parallelism, Image processing, nVidia, nVidia GeForce GT 310 M

July 10, 2013 by hgpu

GPU Implementation of Real-Time Biologically Inspired Face Detection using CUDA

Zeinab Farhoudi, Ali Broumandnia, Elham Askary, Sara Motamed

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Tags: Computer science, Computer vision, CUDA, Image processing, Neural networks, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce 9800 GTX

July 8, 2013 by hgpu

vSMC: Parallel Sequential Monte Carlo in C++

Yan Zhou

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Tags: Algorithms, Bayesian, Mathematical Software, Mathematics, nVidia, nVidia Quadro FX 2000, OpenCL, Package, Physics, Signal processing, Statistics

July 1, 2013 by hgpu

P-HGRMS: A Parallel Hypergraph Based Root Mean Square Algorithm for Image Denoising

Tejaswi Agarwal, Saurabh Jha, B. Rajesh Kanna

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Tags: Algorithms, CUDA, Image processing, nVidia, Signal denoising, Tesla M2050

June 25, 2013 by hgpu

Parallelizing General Histogram Application for CUDA Architectures

Ugljesa Milic, Isaac Gelado, Nikola Puzovic, Alex Ramirez, Milo Tomasevic

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Tags: Algorithms, CUDA, Image processing, nVidia, Search strategies, Tesla C2070, Tesla K20

June 17, 2013 by hgpu

Ultra-Fast Hybrid CPU-GPU Multiple Scatter Simulation for 3D PET

Kyung Sang Kim, Young Don Son, Zang Hee Cho, Jong Beom Ra, and Jong Chul Ye

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Tags: CUDA, Image processing, Monte Carlo simulation, nVidia, OpenMP, PET, Tesla C1060

June 14, 2013 by hgpu

FFT-SPA Non-Binary LDPC Decoding on GPU

J. Andrade, G. Falcao, V. Silva, Kenta Kasai

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Tags: Algorithms, CUDA, FFT, nVidia, Parity-check codes, Signal processing, Tesla C1060

June 12, 2013 by hgpu

Accelerating Fast Fourier Transform for Wideband Channelization

Carlo del Mundo, Vignesh Adhinarayanan, Wu-chun Feng

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Tags: ATI, ATI Radeon HD 5870, ATI Radeon HD 6970, ATI Radeon HD 7970, Computer science, FFT, FPGA, nVidia, OpenCL, Signal processing, Tesla C2075

June 6, 2013 by hgpu

Coating Process Monitoring Using Computer Vision

Erik Veijola

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Tags: Computer science, Computer vision, CUDA, Image processing, nVidia, OpenCV, Thesis

June 4, 2013 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

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high performance computing on graphics processing units: hgpu.org

Applications

GPU Based Implementation of Recursive Digital Filtering Algorithms

The CUDA Handbook: A Comprehensive Guide to GPU Programming

Scalable Techniques for Scheduling and Mapping DSP Applications onto Embedded Multiprocessor Platforms

Exploiting Data Parallelism in the yConvex Hypergraph Algorithm for Image Representation using GPGPUs

GPU Implementation of Real-Time Biologically Inspired Face Detection using CUDA

vSMC: Parallel Sequential Monte Carlo in C++

P-HGRMS: A Parallel Hypergraph Based Root Mean Square Algorithm for Image Denoising

Parallelizing General Histogram Application for CUDA Architectures

Ultra-Fast Hybrid CPU-GPU Multiple Scatter Simulation for 3D PET

FFT-SPA Non-Binary LDPC Decoding on GPU

Accelerating Fast Fourier Transform for Wideband Channelization

Coating Process Monitoring Using Computer Vision

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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