high performance computing on graphics processing units: hgpu.org

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Nuclei: GPU-Accelerated Many-Core Network Coding

Hassan Shojania, Baochun Li, Xin Wang

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Tags: Computer science, CUDA, GPU cluster, nVidia, nVidia GeForce 8600 M GT, nVidia GeForce 8800 GT, nVidia GeForce GTX 280

January 4, 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

GPU Supported Patch-Based Tessellation for Dual Subdivision

Fengtao Fan, Fuhua (Frank) Cheng

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

December 27, 2010 by hgpu

Fine-grain Parallelism Using Multi-core, Cell/BE, and GPU Systems: Accelerating the Phylogenetic Likelihood Function

Frederico Pratas, Pedro Trancoso, Alexandros Stama

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Tags: Cell processor, Computer science, CUDA, nVidia, nVidia GeForce 8800 GT, nVidia GeForce GTX 285, Performance, Programming techniques

December 24, 2010 by hgpu

Accelerating Regularized Iterative CT Reconstruction on Commodity Graphics Hardware (GPU)

Wei Xu, Klaus Mueller

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Tags: Computed tomography, CT, GLSL, Image processing, Image reconstruction, Medicine, nVidia, nVidia GeForce 8800 GT, OpenGL

December 18, 2010 by hgpu

A Cross-Input Adaptive Framework for GPU Programs Optimization

Yixun Liu, Eddy Z. Zhang, Xipeng Shen

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Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8800 GT

December 18, 2010 by hgpu

Monte Carlo simulation of photon migration in 3D turbid media accelerated by graphics processing units

Qianqian Fang, David A. Boas

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Tags: CUDA, Monte Carlo simulation, nVidia, nVidia GeForce 8800 GT, Optics, Package, Physics

December 17, 2010 by hgpu

Accelerating Monte Carlo simulations with an NVIDIA graphics processor

Paul Martinsen, Johannes Blaschke, Rainer Kunnemeyer and Robert Jordan

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Tags: CUDA, Monte Carlo simulation, nVidia, nVidia GeForce 8800 GT, Physics

December 16, 2010 by hgpu

Acceleration of cardiac tissue simulation with graphic processing units

Daisuke Sato, Yuanfang Xie, James Weiss, Zhilin Qu, Alan Garfinkel, Allen Sanderson

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Tags: CUDA, Medicine, nVidia, nVidia GeForce 8800 GT, nVidia GeForce 9800 GX2, ODEs, Ordinary differential equations, Partial differential equations, PDEs

December 15, 2010 by hgpu

Action-Based Multifield Video Visualization

Ralf P. Botchen, Sven Bachthaler, Fabian Schick, Min Chen, Greg Mori, Daniel Weiskopf, Thomas Ertl

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Tags: Computer vision, DirectX, HLSL, Image processing, nVidia, nVidia GeForce 8800 GT, Optical flow, Rendering

December 12, 2010 by hgpu

Data parallel execution challenges and runtime performance of agent simulations on GPUs

Kalyan S. Perumalla, Brandon G. Aaby

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Tags: Cg, Computer science, Nearest neighbour, nVidia, nVidia GeForce 8800 GT

December 12, 2010 by hgpu

Parallel computing with graphics processing units for high-speed Monte Carlo simulation of photon migration

Erik Alerstam, Tomas Svensson, Stefan A. Engels

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Tags: CUDA, Monte Carlo simulation, nVidia, nVidia GeForce 8800 GT, Optics, Package, Physics

December 10, 2010 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

Nuclei: GPU-Accelerated Many-Core Network Coding

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

GPU Supported Patch-Based Tessellation for Dual Subdivision

Fine-grain Parallelism Using Multi-core, Cell/BE, and GPU Systems: Accelerating the Phylogenetic Likelihood Function

Accelerating Regularized Iterative CT Reconstruction on Commodity Graphics Hardware (GPU)

A Cross-Input Adaptive Framework for GPU Programs Optimization

Monte Carlo simulation of photon migration in 3D turbid media accelerated by graphics processing units

Accelerating Monte Carlo simulations with an NVIDIA graphics processor

Acceleration of cardiac tissue simulation with graphic processing units

Action-Based Multifield Video Visualization

Data parallel execution challenges and runtime performance of agent simulations on GPUs

Parallel computing with graphics processing units for high-speed Monte Carlo simulation of photon migration

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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