high performance computing on graphics processing units: hgpu.org

Programming

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Low cost, high performance GPU computing solution for atomic resolution cryoEM single-particle reconstruction

Xiaokang Zhang, Xing Zhang, Z. Hong Zhou

Tags: Biology, Cryo-EM, CUDA, Image reconstruction, nVidia

November 18, 2010 by hgpu

An adaptive Expectation-Maximization algorithm with GPU implementation for electron cryomicroscopy

Hemant D. Tagare, Andrew Barthel, Fred J. Sigworth

Tags: Algorithms, Biology, Cryo-EM, CUDA, Image reconstruction, nVidia

November 18, 2010 by hgpu

Correlation analysis on GPU systems using NVIDIA’s CUDA

Daniel Gembris, Markus Neeb, Markus Gipp, Andreas Kugel, Reinhard Manner

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Tags: Computer science, CUDA, FPGA, Magnetic resonance imaging, Medicine, nVidia, nVidia GeForce 8800 GTX

November 17, 2010 by hgpu

FAST: fast architecture sensitive tree search on modern CPUs and GPUs

Changkyu Kim, Jatin Chhugani, Nadathur Satish, Eric Sedlar, Anthony D. Nguyen, Tim Kaldewey, Victor W. Lee, Scott A. Brandt, Pradeep Dubey

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Tags: Algorithms, Computer science, Databases, nVidia, nVidia GeForce GTX 280, Performance

November 17, 2010 by hgpu

Scalable parallel programming with CUDA

John Nickolls, Ian Buck, Michael Garland, Kevin Skadron

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Tags: Computer science, CUDA, nVidia, Programming techniques, Review

November 17, 2010 by hgpu

Fast free-form deformation using graphics processing units

Marc Modat, Gerard R. Ridgway, Zeike A. Taylor, Manja Lehmann, Josephine Barnes, David J. Hawkes, Nick C. Fox, Sebastien Ourselin

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Tags: Biology, CUDA, Image processing, Medicine, nVidia, nVidia GeForce 8800 GTX, Package

November 17, 2010 by hgpu

permGPU: Using graphics processing units in RNA microarray association studies

Ivo Shterev, Sin H. Jung, Stephen George, Kouros Owzar

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Tags: Bioinformatics, Biology, CUDA, Genetics, nVidia, nVidia GeForce GTX 280, Package, RNA

November 17, 2010 by hgpu

Accelerating Collapsed Variational Bayesian Inference for Latent Dirichlet Allocation with Nvidia CUDA Compatible Devices

Tomonari Masada, Tsuyoshi Hamada, Yuichiro Shibata, Kiyoshi Oguri

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Tags: Computer science, CUDA, Latent Dirichlet allocation, nVidia, nVidia GeForce GTX 260

November 17, 2010 by hgpu

Accelerating simultaneous algebraic reconstruction technique with motion compensation using CUDA-enabled GPU

Wai-Man Pang, Jing Qin, Yuqiang Lu, Yongming Xie, Chee-Kong Chui, Pheng-Ann Heng

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Tags: Computed tomography, CT, CUDA, Image reconstruction, Medicine, Motion compensation, nVidia, nVidia GeForce 8800 GTX

November 17, 2010 by hgpu

Eye-Full Tower: A GPU-based variable multibaseline omnidirectional stereovision system with automatic baseline selection for outdoor mobile robot navigation

Wen L. Lui, Ray Jarvis

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 8800 M GTX

November 17, 2010 by hgpu

Accelerating the reduction to upper Hessenberg, tridiagonal, and bidiagonal forms through hybrid GPU-based computing

Stanimire Tomov, Rajib Nath, Jack Dongarra

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Tags: BLAS, Computer science, CUBLAS, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 280, Package

November 17, 2010 by hgpu

A multi-GPU accelerated solver for the three-dimensional two-phase incompressible Navier-Stokes equations

Michael Griebel, Peter Zaspel

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Tags: CUDA, Fluid dynamics, MPI, Navier-Stokes equations, NSEs, nVidia, Tesla S1070

November 17, 2010 by hgpu

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

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

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

Low cost, high performance GPU computing solution for atomic resolution cryoEM single-particle reconstruction

An adaptive Expectation-Maximization algorithm with GPU implementation for electron cryomicroscopy

Correlation analysis on GPU systems using NVIDIA’s CUDA

FAST: fast architecture sensitive tree search on modern CPUs and GPUs

Scalable parallel programming with CUDA

Fast free-form deformation using graphics processing units

permGPU: Using graphics processing units in RNA microarray association studies

Accelerating Collapsed Variational Bayesian Inference for Latent Dirichlet Allocation with Nvidia CUDA Compatible Devices

Accelerating simultaneous algebraic reconstruction technique with motion compensation using CUDA-enabled GPU

Eye-Full Tower: A GPU-based variable multibaseline omnidirectional stereovision system with automatic baseline selection for outdoor mobile robot navigation

Accelerating the reduction to upper Hessenberg, tridiagonal, and bidiagonal forms through hybrid GPU-based computing

A multi-GPU accelerated solver for the three-dimensional two-phase incompressible Navier-Stokes equations

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

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

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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