high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Image and Signal Processing

Stochastic Progressive Photon Mapping for Dynamic Scenes

Maayan Weiss, Thorsten Grosch

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Tags: 3D Graphics and Realism, Algorithms, Image processing, nVidia, nVidia GeForce GTX 285

January 20, 2012 by hgpu

Efficient fMRI Analysis and Clustering on GPUs

B.E. Dharneesh Talasu

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Tags: Clustering, CUDA, Heterogeneous systems, Hierarchical clustering, Image processing, Medicine, MRI, nVidia, nVidia GeForce 9400 M, Thesis

January 20, 2012 by hgpu

Coherent Spatiotemporal Filtering, Upsampling and Rendering of RGBZ Videos

Christian Richardt, Carsten Stoll, Neil A. Dodgson, Hans-Peter Seidel, Christian Theobalt

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Tags: 3D Graphics and Realism, Algorithms, Computer science, Filtering, Image processing, Rendering

January 20, 2012 by hgpu

GPU Accelerated Registration of a Statistical Shape Model of the Lumbar Spine to 3D Ultrasound Images

Siavash Khallaghi, Purang Abolmaesumi, Ren Hui Gong, Elvis Chen, Sean Gill, Jonathan Boisvert, David Pichora, Dan Borschneck, Gabor Fichtinger, Parvin Mousavi

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Tags: CUDA, Image processing, Medicine, nVidia, nVidia GeForce GTX 285, Optimization, Ultrasound

January 18, 2012 by hgpu

Heterogeneous Computing for Vertebra Detection and Segmentation in X-Ray Images

Fabian Lecron, Sidi Ahmed Mahmoudi, Mohammed Benjelloun, Said Mahmoudi, Pierre Manneback

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Tags: CUDA, Heterogeneous systems, Image processing, Medicine, nVidia, Tesla C1060

January 18, 2012 by hgpu

GPU Prefilter for Accurate Cubic B-spline Interpolation

Daniel Ruijters, Philippe Thevenaz

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Tags: Algorithms, CUDA, nVidia, nVidia GeForce 9800 GTX, Signal processing

January 17, 2012 by hgpu

Fast Regularization of Matrix-Valued Images

Guy Rosman, Yu Wang, Xue-Cheng Tai, Ron Kimmel, Alfred M. Bruckstein

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 580

January 16, 2012 by hgpu

Graphics Processor Clusters for High Speed Backpropagation

Daniel P. Campbell, Daniel A. Cook

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Tags: CUDA, GPU cluster, nVidia, nVidia GeForce GTX 480, Optimization, Signal processing, Tesla C2050

January 14, 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

DFG Implementation on Multi GPU Cluster with Computation-Communication Overlap

Sylvain Huet, Vincent Boulos, Vincent Fristot, Luc Salvo

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Tags: Algorithms, CUDA, DSP, GPU cluster, nVidia, nVidia GeForce GTX 285, Signal processing

January 13, 2012 by hgpu

A Real-Time Capable Software-Defined Receiver Using GPU for Adaptive Anti-Jam GPS Sensors

Jiwon Seo, Yu-Hsuan Chen, David S. De Lorenzo, Sherman Lo, Per Enge, Dennis Akos, Jiyun Lee

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Tags: CUDA, nVidia, nVidia GeForce GTX 480, Optimization, Signal processing

January 13, 2012 by hgpu

Parallel mutual information estimation for inferring gene regulatory networks on GPUs

Haixiang Shi, Bertil Schmidt, Weiguo Liu, Wolfgang Muller-Wittig

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Source codes

Tags: Algorithms, Biology, Computational biology, CUDA, Image processing, Machine learning, nVidia, Package, Tesla C2050

January 13, 2012 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

Stochastic Progressive Photon Mapping for Dynamic Scenes

Efficient fMRI Analysis and Clustering on GPUs

Coherent Spatiotemporal Filtering, Upsampling and Rendering of RGBZ Videos

GPU Accelerated Registration of a Statistical Shape Model of the Lumbar Spine to 3D Ultrasound Images

Heterogeneous Computing for Vertebra Detection and Segmentation in X-Ray Images

GPU Prefilter for Accurate Cubic B-spline Interpolation

Fast Regularization of Matrix-Valued Images

Graphics Processor Clusters for High Speed Backpropagation

Efficient Convex Optimization Approaches to Variational Image Fusion

DFG Implementation on Multi GPU Cluster with Computation-Communication Overlap

A Real-Time Capable Software-Defined Receiver Using GPU for Adaptive Anti-Jam GPS Sensors

Parallel mutual information estimation for inferring gene regulatory networks on GPUs

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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