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High Speed Compressed Sensing Reconstruction in Dynamic Parallel MRI Using Augmented Lagrangian and Parallel Processing

Cagdas Bilen, Yao Wang, Ivan Selesnick

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Tags: Algorithms, Compression, Computer science, Data Structures and Algorithms, Magnetic resonance imaging, MRI, nVidia, nVidia Quadro FX 4800, Sensing

March 22, 2012 by hgpu

High-Performance 3D Compressive Sensing MRI Reconstruction Using Many-Core Architectures

Daehyun Kim, Joshua Trzasko, Mikhail Smelyanskiy, Clifton Haider, Pradeep Dubey, Armando Manduca

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Tags: Algorithms, CUDA, Image processing, Medicine, MRI, nVidia, Sensing, Tesla C2050

February 21, 2012 by hgpu

Efficient Convex Optimization Approaches to Variational Image Fusion

Jing Yuan, Brandon Miles, Juan Shi, Greg Garvin, Xue-Cheng Tai, Aaron Fenster

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Tags: Algorithms, CUDA, Image processing, Medicine, nVidia, Optimization, Sensing, Tesla C1060

January 13, 2012 by hgpu

Parallel Implementation of Compressive Sensing Based SAR Imaging with GPU

Tian Jihua, Sun Jinping, Zhang Yuxi, Najeeb Ahmad, Zhang Bingchen

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Tags: Algorithms, Compression, CUDA, Image processing, nVidia, Sensing, Tesla C1060

January 4, 2012 by hgpu

Parallel Quadtree Coding of Large-Scale Raster Geospatial Data on Multicore CPUs and GPGPUs

Jianting Zhang, Simin You, Le Gruenwald

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Tags: CUDA, Data parallelism, Earth and Space Sciences, Geoscience, nVidia, Optimization, Sensing, Tesla C2050

December 29, 2011 by hgpu

Precomputed compressive sensing for light transport acquisition

Satoshi Yamamoto, Yasumasa Itakura, Masashi Sawabe, Gimpei Okada, Toshiya Nakaguchi, Norimichi Tsumura

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Tags: CUDA, nVidia, Optics, Physics, Sensing, Tesla C1060

December 28, 2011 by hgpu

Turbo Bayesian Compressed Sensing

Depeng Yang

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Tags: Algorithms, Bayesian, Computer science, CUDA, FPGA, nVidia, nVidia GeForce GTX 480, Sensing, Signal processing

December 25, 2011 by hgpu

Parallel Quadtree Coding of Large-Scale Raster Geospatial Data on GPGPUs

Jianting Zhang, Simin You, Le Gruenwald

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Tags: CUDA, Data parallelism, Earth and Space Sciences, Geoscience, nVidia, Sensing, Tesla C2050

December 5, 2011 by hgpu

Dataflow-Based Implementation of Layered Sensing Applications

Shuvra Bhattacharyya, Chung-Ching Shen, William Plishker, Nimish Sane, Hsiang-Huang Wu, Ruirui Gu

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Tags: CUDA, Flow analysis, nVidia, nVidia GeForce GTX 260, Optimization, Sensing, Signal processing

November 22, 2011 by hgpu

A mobile robot navigation with use of CUDA parallel architecture

Barbara Siemiatkowska, Jacek Szklarski, Michal Gnatowski, Adam Borkowski, Piotr Weclewski

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 9300 M, Sensing

November 5, 2011 by hgpu

Semi-Global Matching-Motivation, Developments and Applications

Heiko Hirschmuller

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Tags: Computer science, Computer vision, FPGA, nVidia, nVidia GeForce GTX 275, OpenCL, OpenGL, Sensing

November 4, 2011 by hgpu

Comparing Parallel Simulation of Social Agents using Cilk and OpenCL

Dominik Moser, Andreas Riener, Kashif Zia, Alois Ferscha

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Tags: Computer science, OpenCL, Sensing

October 4, 2011 by hgpu

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

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

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

High Speed Compressed Sensing Reconstruction in Dynamic Parallel MRI Using Augmented Lagrangian and Parallel Processing

High-Performance 3D Compressive Sensing MRI Reconstruction Using Many-Core Architectures

Efficient Convex Optimization Approaches to Variational Image Fusion

Parallel Implementation of Compressive Sensing Based SAR Imaging with GPU

Parallel Quadtree Coding of Large-Scale Raster Geospatial Data on Multicore CPUs and GPGPUs

Precomputed compressive sensing for light transport acquisition

Turbo Bayesian Compressed Sensing

Parallel Quadtree Coding of Large-Scale Raster Geospatial Data on GPGPUs

Dataflow-Based Implementation of Layered Sensing Applications

A mobile robot navigation with use of CUDA parallel architecture

Semi-Global Matching-Motivation, Developments and Applications

Comparing Parallel Simulation of Social Agents using Cilk and OpenCL

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

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

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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