high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

High Speed Articulated Object Tracking Using GPUs: A Particle Filter Approach

Raul Cabido, David Concha, Juan Jose Pantrigo, Antonio S. Montemayor

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Tags: Computer science, nVidia, nVidia GeForce 7800 GTX, nVidia GeForce 8600 GTS, nVidia GeForce 8800 GTS, nVidia GeForce GTX 260, OpenGL, Video tracking

January 3, 2011 by hgpu

FPGA-based acceleration of CHARMM-potential minimization

Bharat Sukhwani, Martin C. Herbordt

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Tags: Chemistry, FPGA, Molecular modeling, nVidia, Performance, Tesla C1060

January 3, 2011 by hgpu

Wave field synthesis for 3D audio: architectural prospectives

Dimitris Theodoropoulos, Catalin Bogdan Ciobanu, Georgi Kuzmanov

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Tags: CUDA, FPGA, nVidia, nVidia GeForce 8600 GT, Signal processing

January 3, 2011 by hgpu

Utilizing jump flooding in image-based soft shadows

Guodong Rong, Tiow Seng Tan

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Tags: 3D Graphics and Realism, Cg, Computer science, Image generation, nVidia, nVidia GeForce 6800 GT

January 3, 2011 by hgpu

Achieving O(1) IP lookup on GPU-based software routers

Jin Zhao, Xinya Zhang, Xin Wang, Xiangyang Xue

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Tags: Computer science, CUDA, Networks, nVidia, nVidia GeForce 8800 GT

January 3, 2011 by hgpu

SBArt4 – Breeding abstract animations in realtime

Tatsuo Unemi

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Tags: ATI, ATI Radeon X1600, Computer science, GLSL, nVidia, nVidia GeForce 9400 M, OpenGL, Real-time graphics

January 3, 2011 by hgpu

Cooperative Multitasking for GPU-Accelerated Grid Systems

Fumihiko Ino, Akihiro Ogita, Kentaro Oita, Kenichi Hagihara

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Tags: Computer science, CUDA, Grid, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce GTX 280

January 3, 2011 by hgpu

An Accelerated 3D Navier-Stokes Solver for Flows in Turbomachines

Tobias Brandvik, Graham Pullan

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Tags: CUDA, Fluid dynamics, GPU cluster, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce GT 200

January 2, 2011 by hgpu

Generation of Random Numbers on Graphics Processors: Forced Indentation In Silico of the Bacteriophage HK97

A. Zhmurov, K. Rybnikov, Y. Kholodov, V. Barsegov

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Tags: Biological Physics, Chemical Physics, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Physics, Pseudo-random number generators

January 2, 2011 by hgpu

Multiresolution MIP Rendering of Large Volumetric Data Accelerated on Graphics Hardware

Wladimir J. van der Laan, Andrei Jalba, Jos B. T. M. Roerdink

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Tags: Algorithms, Image processing, nVidia, nVidia GeForce 7900 GTX, OpenGL, Rendering, Visualization

January 2, 2011 by hgpu

Towards chip-on-chip neuroscience: fast mining of neuronal spike streams using graphics hardware

Yong Cao, Debprakash Patnaik, Sean Ponce, Jeremy Archuleta, Patrick Butler, Wu-chun Feng and Naren Ramakrishnan

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Tags: Computer science, CUDA, Data mining, Neuroscience, nVidia, nVidia GeForce GTX 280, Programming techniques

January 2, 2011 by hgpu

Accelerating Euler Equations Numerical Solver on Graphics Processing Units

Pierre Kestener, Frederic Chateau, Romain Teyssier

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Tags: CUDA, Mathematics, Numerical simulation, nVidia, nVidia GeForce 8800 GTX, Tesla S1070

January 2, 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

Applications

High Speed Articulated Object Tracking Using GPUs: A Particle Filter Approach

FPGA-based acceleration of CHARMM-potential minimization

Wave field synthesis for 3D audio: architectural prospectives

Utilizing jump flooding in image-based soft shadows

Achieving O(1) IP lookup on GPU-based software routers

SBArt4 – Breeding abstract animations in realtime

Cooperative Multitasking for GPU-Accelerated Grid Systems

An Accelerated 3D Navier-Stokes Solver for Flows in Turbomachines

Generation of Random Numbers on Graphics Processors: Forced Indentation In Silico of the Bacteriophage HK97

Multiresolution MIP Rendering of Large Volumetric Data Accelerated on Graphics Hardware

Towards chip-on-chip neuroscience: fast mining of neuronal spike streams using graphics hardware

Accelerating Euler Equations Numerical Solver on Graphics Processing Units

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

Most viewed papers (last 30 days)