high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Image and Signal Processing

Stereo Matching using Multi-Resolution Images on CUDA

Sudhakar Sah, Nikhil Jotwani

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Tags: CUDA, FPGA, Image processing, nVidia, nVidia GeForce GTX 480

October 22, 2012 by hgpu

The impact of GPU/Multicore in Signal Processing: a quantitative approach

V.M Garcia, A.Gonzalez, C. Gonzalez, F.J. Martinez-Zaldivar, C.Ramiro, S. Roger, A.M. Vidal

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Tags: CUDA, CULA, nVidia, nVidia Quadro FX 5800, Signal processing, Tesla C2070

October 20, 2012 by hgpu

Strain Visualization of Ultra Sound Signals Processed by General Purpose Graphic Process Unit

Luis Alvarez

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Tags: CUDA, Image processing, nVidia, nVidia Quadro FX 600, Signal processing, Thesis, Ultrasound, Visualization

October 18, 2012 by hgpu

Scalable GPU Acceleration of B-Spline Signal Processing Operations

Alexander Karantza

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Tags: CUDA, nVidia, Signal processing, Tesla C2070, Thesis

October 13, 2012 by hgpu

Accelerating Cost Aggregation for Real-Time Stereo Matching

Jianbin Fang, Ana Lucia Varbanescu, Jie Shen, Henk Sips, Gorkem Saygili, Laurens van der Maaten

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Tags: Algorithms, Image processing, nVidia, nVidia Quadro FX 5000, nVidia Quadro NVS 140 M, OpenCL, Optimization

October 13, 2012 by hgpu

FPGA-GPU-CPU Heterogenous Architecture for Real-time Cardiac Physiological Optical Mapping

Pingfan Meng, Matthew Jacobsen, Ryan Kastner

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Tags: Algorithms, CUDA, FPGA, Image processing, Medicine, nVidia, nVidia GeForce GTX 590

October 13, 2012 by hgpu

Accelerating Mean Shift Segmentation Algorithm on Hybrid CPU/GPU Platforms

Liang Men, Miaoqing Huang, John Gauch

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Tags: Algorithms, Clustering, CUDA, Image processing, nVidia, Tesla C2075

October 9, 2012 by hgpu

Measuring the Performance of Realtime DSP Using Pure Data and GPU

Andre Jucovsky Bianchi, Marcelo Queiroz

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Tags: CUDA, DSP, FFT, nVidia, nVidia GeForce GTX 275, nVidia GeForce GTX 470, Signal processing

October 8, 2012 by hgpu

Techniques for Mapping Synthetic Aperture Radar Processing Algorithms to Multi-GPU Clusters

Eric Hayden, Mark Schmalz, William Chapman, Sanjay Ranka, Sartaj Sahni, Gunasekaran Seetharaman

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Tags: Algorithms, CUDA, GPU cluster, Image reconstruction, nVidia, Signal processing, Tesla C2050

October 6, 2012 by hgpu

An Efficient GPU Implementation of Modified Discrete Cosine Transform Using CUDA

Massimo Panella, Luigi Basset

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Tags: Algorithms, Compression, CUDA, Matrix multiplication, nVidia, nVidia GeForce GTX 295, Signal processing

October 6, 2012 by hgpu

An ultrasonic imaging system based on a new SAFT approach and a GPU beamformer

Carlos J. Martin-Arguedas, David Romero-Laorden, Oscar Martinez-Graullera, Manuel Perez-Lopez Luis Gomez-Ullate

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GTX 295, Ultrasound

October 5, 2012 by hgpu

Parallel Algorithm of IDCT with GPUs and CUDA for Large-scale Video Quality of 3G

Qingkui Chen, Haifeng Wang, Songlin Zhuang, Bocheng Liu

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 280

October 5, 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

Stereo Matching using Multi-Resolution Images on CUDA

The impact of GPU/Multicore in Signal Processing: a quantitative approach

Strain Visualization of Ultra Sound Signals Processed by General Purpose Graphic Process Unit

Scalable GPU Acceleration of B-Spline Signal Processing Operations

Accelerating Cost Aggregation for Real-Time Stereo Matching

FPGA-GPU-CPU Heterogenous Architecture for Real-time Cardiac Physiological Optical Mapping

Accelerating Mean Shift Segmentation Algorithm on Hybrid CPU/GPU Platforms

Measuring the Performance of Realtime DSP Using Pure Data and GPU

Techniques for Mapping Synthetic Aperture Radar Processing Algorithms to Multi-GPU Clusters

An Efficient GPU Implementation of Modified Discrete Cosine Transform Using CUDA

An ultrasonic imaging system based on a new SAFT approach and a GPU beamformer

Parallel Algorithm of IDCT with GPUs and CUDA for Large-scale Video Quality of 3G

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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