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BLAS Comparison on FPGA, CPU and GPU

Srinidhi Kestur, John D. Davis, Oliver Williams

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Tags: BLAS, Computer science, CUBLAS, CUDA, Energy-efficient computing, FPGA, Linear Algebra, nVidia, nVidia GeForce 9500 GT, Performance, Tesla C1060

December 6, 2010 by hgpu

Simulation of 1+1 dimensional surface growth and lattices gases using GPUs

Henrik Schulz, Geza Odor, Gergely Odor, Máté Ferenc Nagy

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Tags: ATI, ATI Radeon HD 5970, Computational Physics, CUDA, Disordered Systems and Neural Networks, nVidia, nVidia Quadro FX 5800, OpenCL, Physics, Statistical Mechanics, Tesla C1060

December 3, 2010 by hgpu

Tuned and wildly asynchronous stencil kernels for hybrid CPU/GPU systems

Sundaresan Venkatasubramanian, Richard W. Vuduc, None None

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Tags: Computer science, CUDA, nVidia, nVidia Quadro FX 570, Performance, Tesla C1060, Tesla C870

November 22, 2010 by hgpu

GPU-accelerated phase-field simulation of dendritic solidification in a binary alloy

Akinori Yamanaka, Takayuki Aoki, Satoi Ogawa, Tomohiro Takaki

Tags: Alloys, CUDA, nVidia, Physics, Solidification, Tesla C1060

November 22, 2010 by hgpu

Simulation of P systems with active membranes on CUDA

Jose M. Cecilia, Jose M. Garcia, Gines D. Guerrero, Miguel A. Martinez-del-Amor, Ignacio Perez-Hurtado, Mario J. Perez-Jimenez

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Tags: Computer science, CUDA, Membrane computing, nVidia, Tesla C1060

November 19, 2010 by hgpu

Accelerating numerical solution of stochastic differential equations with CUDA

M. Januszewski, M. Kostur

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Source codes

Tags: Computational Physics, CUDA, Diffusion equation, nVidia, Package, Physics, Tesla C1060

November 19, 2010 by hgpu

GPU-based ultra fast dose calculation using a finite pencil beam model

Xuejun Gu, Dongju Choi, Chunhua Men, Hubert Pan, Amitava Majumdar, Steve B. Jiang

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Tags: CUDA, Medical Physics, Medicine, nVidia, nVidia GeForce 9500 GT, nVidia GeForce GTX 285, Physics, Radiotherapy, Tesla C1060, Tesla S1070

November 13, 2010 by hgpu

Supercomputing and stellar dynamics

R. Capuzzo-Dolcetta

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Tags: Astrophysics, Celestial mechanics, Galaxy Astrophysics, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, OpenMP, Stellar dynamics, Tesla C1060

November 13, 2010 by hgpu

Development of a GPU-based Monte Carlo dose calculation code for coupled electron-photon transport

Xun Jia, Xuejun Gu, Josep Sempau, Dongju Choi, Amitava Majumdar, Steve B. Jiang

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Tags: CUDA, Medical Physics, Medicine, Monte Carlo simulation, nVidia, Physics, Radiotherapy, Tesla C1060

November 13, 2010 by hgpu

GPU-based Fast Low-dose Cone Beam CT Reconstruction via Total Variation

Xun Jia, Yifei Lou, John Lewis, Ruijiang Li, Xuejun Gu, Chunhua Men, William Y. Song, Steve B. Jiang

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Tags: Computed tomography, CT, CUDA, Image reconstruction, Medical Physics, nVidia, Physics, Tesla C1060

November 13, 2010 by hgpu

RapidMind: Portability across Architectures and its Limitations

Iris Christadler, Volker Weinberg

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Tags: Cell processor, Computer science, CUDA, nVidia, Performance, Programming Languages, Tesla C1060, Tesla S1070

November 12, 2010 by hgpu

GPU-based Fast Cone Beam CT Reconstruction from Undersampled and Noisy Projection Data via Total Variation

Xun Jia, Yifei Lou, Ruijiang Li, William Y. Song, Steve B. Jiang

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Tags: CT, CUDA, Image reconstruction, Medical Physics, Medicine, nVidia, Tesla C1060

November 12, 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

BLAS Comparison on FPGA, CPU and GPU

Simulation of 1+1 dimensional surface growth and lattices gases using GPUs

Tuned and wildly asynchronous stencil kernels for hybrid CPU/GPU systems

GPU-accelerated phase-field simulation of dendritic solidification in a binary alloy

Simulation of P systems with active membranes on CUDA

Accelerating numerical solution of stochastic differential equations with CUDA

GPU-based ultra fast dose calculation using a finite pencil beam model

Supercomputing and stellar dynamics

Development of a GPU-based Monte Carlo dose calculation code for coupled electron-photon transport

GPU-based Fast Low-dose Cone Beam CT Reconstruction via Total Variation

RapidMind: Portability across Architectures and its Limitations

GPU-based Fast Cone Beam CT Reconstruction from Undersampled and Noisy Projection Data via Total Variation

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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