high performance computing on graphics processing units: hgpu.org

hgpu.org » Applications » Image and Signal Processing

Parallel Spectral Graph Partitioning on CUDA

Orhan Firat, Alptekin Temizel

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Tags: Algorithms, CUDA, Image processing, Machine learning, nVidia, Tesla C2070

February 23, 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

The battle of the giants: a case study of GPU vs FPGA optimisation for real-time image processing

Lars Struyf, Stijn De Beugher, Dong Hoon Van Uytsel, Frans Kanters, Toon Goedeme

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Tags: Algorithms, ATI, ATI Radeon HD 6870, Computer vision, FPGA, Image processing, OpenCL

February 17, 2014 by hgpu

Optimizing Performance of Stencil Code with SPL Conqueror

Alexander Grebhahn, Norbert Siegmund, Sven Apel, Sebastian Kuckuk, Christian Schmitt, Harald Kostler

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Tags: Computer science, CUDA, Differential equations, Finite difference, Image processing, nVidia, OpenCL, Package, Partial differential equations, PDEs, Tesla K20

February 17, 2014 by hgpu

Cuda K-Nn: application to the segmentation of the retinal vasculature within SD-OCT volumes of mice

Wenxiang Deng

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Tags: CUDA, Image processing, Medicine, nVidia, nVidia GeForce GTX 570

February 16, 2014 by hgpu

High-Performance Zonal Histogramming on Large-Scale Geospatial Rasters Using GPUs and GPU-Accelerated Clusters

Jianting Zhang, Dali Wang

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Tags: Cluster computing, CUDA, Image processing, nVidia, nVidia GeForce GTX Titan, Visualization

February 14, 2014 by hgpu

Fast 2-D Ultrasound Strain Imaging: The Benefits of Using a GPU

Tim Idzenga, Evghenii Gaburov, Willem Vermin, Jan Menssen, Chris L. de Korte

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Tags: Algorithms, CUDA, Image processing, nVidia, OpenMP, Package, Tesla K20, Ultrasound

February 8, 2014 by hgpu

State-Based Gauss-Seidel Framework for Real-time 2D Ultrasound Image Sequence Denoising on GPUs

Banpot Dolwithayakul, Chantana Chantrapornchai, Noppadol Chumchob

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GTX 480, OpenMP, Ultrasound

February 8, 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

A TBB-CUDA Implementation for Background Removal in a video-based Fire Detection System

Fan Wang, Xiao Jiang, Xiopeng Hu

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GTX 210

February 1, 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

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

GigaAPI for GPU Parallelization

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle

DuoReduce: MLIR's benchmark

Hardware-Assisted Software Testing and Debugging for Heterogeneous Computing

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high performance computing on graphics processing units: hgpu.org

Applications

Parallel Spectral Graph Partitioning on CUDA

Towards a Performance-Portable FFT Library for Heterogeneous Computing

The battle of the giants: a case study of GPU vs FPGA optimisation for real-time image processing

Optimizing Performance of Stencil Code with SPL Conqueror

Cuda K-Nn: application to the segmentation of the retinal vasculature within SD-OCT volumes of mice

High-Performance Zonal Histogramming on Large-Scale Geospatial Rasters Using GPUs and GPU-Accelerated Clusters

Fast 2-D Ultrasound Strain Imaging: The Benefits of Using a GPU

State-Based Gauss-Seidel Framework for Real-time 2D Ultrasound Image Sequence Denoising on GPUs

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

A TBB-CUDA Implementation for Background Removal in a video-based Fire Detection System

Wideband Channelization for Software-Defined Radio via Mobile Graphics Processors

Recent source codes

PELSI: Power-Efficient Layer-Switched Inference

Ouroboros: Virtualized Queues for dynamic memory management

MSCCL++: A GPU-driven communication stack for scalable AI applications

Benchmark compute shader of Unity against InteropUnityCUDA

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

DuoReduce: MLIR's benchmark

Most viewed papers (last 30 days)