high performance computing on graphics processing units: hgpu.org

hgpu.org » Sensing

Design space exploration towards a realtime and energy-aware GPGPU-based analysis of biosensor data

Constantin Timm, Frank Weichert, Peter Marwedel, Heinrich Muller

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Tags: Computer science, Design space exploration, Energy-efficient computing, Image processing, nVidia, nVidia GeForce 9600 GT, nVidia GeForce GTS 250, nVidia ION, OpenCL, Sensing

September 28, 2011 by hgpu

Single Scattering of Aspherical Particles in DDA Calculations on GPUs Using OpenCL

Marcus Huntemann, Georg Heygster, Gang Hong

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Tags: Earth and Space Sciences, nVidia, nVidia GeForce GTX 260, OpenCL, Sensing, Weather prediction

September 24, 2011 by hgpu

Seeing through the fog: an algorithm for fast and accurate touch detection in optical tabletop surfaces

Christopher Wolfe, T. C. Nicholas Graham, Joseph A. Pape

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce 9600 GT, OpenGL, Sensing

September 14, 2011 by hgpu

Simulating vehicle kinematics with SimVis3D and Newton

Jens Wettach, Daniel Schmidt, Karsten Berns

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Tags: 3D Graphics and Realism, Computer science, OpenCL, Package, Physics-based simulation, Sensing

September 12, 2011 by hgpu

Humanoid navigation planning using future perceptive capability

Philipp Michel, Joel Chestnutt, Satoshi Kagami, Koichi Nishiwaki, James Kuffner, Takeo Kanade

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Tags: Computer science, Sensing

August 15, 2011 by hgpu

Parallel Morphological Endmember Extraction Using Commodity Graphics Hardware

Javier Setoain, Manuel Prieto, Christian Tenllado, Antonio Plaza, Francisco Tirado

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Tags: Algorithms, Cg, Image processing, nVidia, nVidia GeForce 7800 GTX, nVidia GeForce FX 5950 Ultra, Sensing

August 15, 2011 by hgpu

Parallel hyperspectral image processing on commodity graphics hardware

J. Setoain, C. Tenllado, M. Prieto, D. Valencia, A. Plaza, J. Plaza

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Tags: Algorithms, Cg, Image processing, nVidia, nVidia GeForce 7800 GTX, nVidia GeForce FX 5950 Ultra, Sensing

August 12, 2011 by hgpu

Exploring Novel Parallelization Technologies for 3-D Imaging Applications

Diego Rivera, Dana Schaa, Micha Moffie, David Kaeli

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Tags: Algorithms, Image processing, Image reconstruction, nVidia, nVidia GeForce 8800 GTX, Sensing

July 25, 2011 by hgpu

Real-time interactive object extraction system for high resolution remote sensing images based on parallel computing architecture

Yan Li, Manchun Li, Feixue Li, Xiaogu Sun, Wei Liu

Tags: CUDA, Earth and Space Sciences, Geoscience, Image processing, nVidia, nVidia GeForce 8800 GTX, Sensing

July 25, 2011 by hgpu

Parallel implementation of endmember extraction algorithms using NVidia graphical processing units

Antonio Plaza, Javier Plaza, Sergio Sanchez

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Tags: CUDA, Image processing, nVidia, nVidia GeForce 8800 GTX, Sensing, Spectral methods

July 17, 2011 by hgpu

Computing spike-based convolutions on GPUs

Jayram Moorkanikara Nageswaran, Nikil Dutt, Yingxue Wang, Tobi Delbrueck

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Tags: Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 280, Sensing

July 14, 2011 by hgpu

High Performance Remote Sensing Image Processing Using CUDA

Xiaoshu Si, Hong Zheng

Tags: CUDA, Image processing, nVidia, Sensing

July 8, 2011 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

Design space exploration towards a realtime and energy-aware GPGPU-based analysis of biosensor data

Single Scattering of Aspherical Particles in DDA Calculations on GPUs Using OpenCL

Seeing through the fog: an algorithm for fast and accurate touch detection in optical tabletop surfaces

Simulating vehicle kinematics with SimVis3D and Newton

Humanoid navigation planning using future perceptive capability

Parallel Morphological Endmember Extraction Using Commodity Graphics Hardware

Parallel hyperspectral image processing on commodity graphics hardware

Exploring Novel Parallelization Technologies for 3-D Imaging Applications

Real-time interactive object extraction system for high resolution remote sensing images based on parallel computing architecture

Parallel implementation of endmember extraction algorithms using NVidia graphical processing units

Computing spike-based convolutions on GPUs

High Performance Remote Sensing Image Processing Using CUDA

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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