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Efficient Acceleration of Mutual Information Computation for Nonrigid Registration using CUDA

Kei Ikeda, Fumihiko Ino, Kenichi Hagihara

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Tags: CUDA, Image processing, Image registration, nVidia, nVidia GeForce GTX 580, Package

April 27, 2014 by hgpu

On the Parallelization of Integer Polynomial Multiplication

Farnam Mansouri

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Tags: Algorithms, Computer science, CUDA, nVidia, Package, Symbolic Computation, Tesla C2050, Thesis

April 25, 2014 by hgpu

SWAPHI: Smith-Waterman Protein Database Search on Xeon Phi Coprocessors

Yongchao Liu, Bertil Schmidt

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Tags: Computer science, Intel Xeon Phi, Package, Smith-Waterman algorithm

April 21, 2014 by hgpu

Sparser, Better, Faster GPU Parsing

David Hall, Taylor Berg-Kirkpatrick, John Canny, Dan Klein

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Tags: Computer science, nVidia, nVidia GeForce GTX 680, OpenCL, Package, Performance

April 21, 2014 by hgpu

The Reconstruction Toolkit (RTK), an open-source cone-beam CT reconstruction toolkit based on the Insight Toolkit (ITK)

S. Rit, M. Vila Oliva, S. Brousmiche, R. Labarbe, D. Sarrut, G. C. Sharp

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Tags: Computed tomography, CT, CUDA, Medicine, nVidia, OpenCL, Package, Tesla M2090

April 18, 2014 by hgpu

Bayesian Neural Networks for Genetic Association Studies of Complex Disease

Andrew L. Beam, Alison Motsinger-Reif, Jon Doyle

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Tags: Bayesian, Biology, CUDA, Machine learning, Neural networks, nVidia, Package, Python

April 17, 2014 by hgpu

Fast Burrows Wheeler Compression Using CPU and GPU

Aditya Deshpande, P J Narayanan

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Tags: Algorithms, Compression, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 580, nVidia Quadro FX 3700, Package, Thrust

April 14, 2014 by hgpu

Test-driving Intel Xeon Phi

Jianbin Fang, Henk Sips, Lilun Zhang, Chuanfu Xu, Yonggang Che, Ana Lucia Varbanescu

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Tags: Computer science, Intel Xeon Phi, Package, Performance

April 13, 2014 by hgpu

Visualizing the Radiation of the Kelvin-Helmholtz Instability

Axel Huebl, David Pugmire, Felix Schmitt, Richard Pausch, Michael Bussmann

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Tags: CUDA, nVidia, Package, Particle-in-cell methods, Physics, Plasma physics, Visualization

April 11, 2014 by hgpu

The GENGA Code: Gravitational Encounters in N-body simulations with GPU Acceleration

Simon L. Grimm, Joachim G. Stadel

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Tags: Astrophysics, CUDA, Earth and Planetary Astrophysics, Gravitation, N-body simulation, nVidia, nVidia GeForce GTX 680, Package

April 11, 2014 by hgpu

Parallel Support Vector Machines in Practice

Stephen Tyree, Jacob R. Gardner, Kilian Q. Weinberger, Kunal Agrawal, John Tran

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Tags: Algorithms, Benchmarking, Computer science, CUDA, Linear Algebra, Machine learning, nVidia, Package, Tesla C2075

April 6, 2014 by hgpu

Initial condition for efficient mapping of level set algorithms on many-core architectures

Gabor Janos Tornai, Gyorgy Cserey

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Tags: Differential equations, nVidia, nVidia GeForce GTX 780, OpenCL, Package, Partial differential equations, PDEs, Signal processing

March 14, 2014 by hgpu

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

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

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high performance computing on graphics processing units: hgpu.org

Efficient Acceleration of Mutual Information Computation for Nonrigid Registration using CUDA

On the Parallelization of Integer Polynomial Multiplication

SWAPHI: Smith-Waterman Protein Database Search on Xeon Phi Coprocessors

Sparser, Better, Faster GPU Parsing

The Reconstruction Toolkit (RTK), an open-source cone-beam CT reconstruction toolkit based on the Insight Toolkit (ITK)

Bayesian Neural Networks for Genetic Association Studies of Complex Disease

Fast Burrows Wheeler Compression Using CPU and GPU

Test-driving Intel Xeon Phi

Visualizing the Radiation of the Kelvin-Helmholtz Instability

The GENGA Code: Gravitational Encounters in N-body simulations with GPU Acceleration

Parallel Support Vector Machines in Practice

Initial condition for efficient mapping of level set algorithms on many-core architectures

Recent source codes

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

ROCm's implementation of Gromacs

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

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