high performance computing on graphics processing units: hgpu.org

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Enabling a High Throughput Real Time Data Pipeline for a Large Radio Telescope Array with GPUs

R. G. Edgar, M. A. Clark, K. Dale, D. A. Mitchell, S. M. Ord, R. B. Wayth, H. Pfister, L. J. Greenhill

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Tags: Astrophysics, Computational Physics, CUDA, Instrumentation and Methods for Astrophysics, nVidia, Tesla C1060

November 12, 2010 by hgpu

GPU-based ultra-fast direct aperture optimization for online adaptive radiation therapy

Chunhua Men, Xun Jia, 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

November 12, 2010 by hgpu

Real-time volumetric image reconstruction and 3D tumor localization based on a single x-ray projection image for lung cancer radiotherapy

Ruijiang Li, Xun Jia, John H. Lewis, Xuejun Gu, Michael Folkerts, Chunhua Men, Steve B. Jiang

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

November 12, 2010 by hgpu

CUDA simulations of active dumbbell suspensions

Victor Putz, Jorn Dunkel, Julia M. Yeomans

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Tags: Condensed matter, CUDA, nVidia, nVidia GeForce GTX 295, Physics, Soft Condensed Matter, Tesla C1060

November 11, 2010 by hgpu

Reionization simulations powered by GPUs I: the structure of the Ultraviolet radiation field

Dominique Aubert, Romain Teyssier

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Tags: Astrophysics, Computational Physics, Cosmology and Extragalactic Astrophysics, CUDA, GPU cluster, MPI, nVidia, Tesla C1060

November 11, 2010 by hgpu

Ultra-fast treatment plan optimization for volumetric modulated arc therapy (VMAT)

Chunhua Men, H. Edwin Romeijn, Xun Jia, Steve B. Jiang

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Tags: CUDA, Medical Physics, Medicine, nVidia, Physics, Tesla C1060

November 11, 2010 by hgpu

MYRIAD: A new N-body code for simulations of Star Clusters

Simos Konstantinidis, Kostas D. Kokkotas

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Source codes

Tags: Astrophysics, Galaxy Astrophysics, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, Package, Tesla C1060

November 11, 2010 by hgpu

A Flexible Patch-Based Lattice Boltzmann Parallelization Approach for Heterogeneous GPU-CPU Clusters

Christian Feichtinger, Johannes Habich, Harald Koestler, Georg Hager, Ulrich Ruede, Gerhard Wellein

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Tags: Computer science, CUDA, Lattice Boltzmann model, MPI, nVidia, Tesla C1060, Tesla S1070

November 11, 2010 by hgpu

Toward large-scale Hybrid Monte Carlo simulations of the Hubbard model on graphics processing units

Kyle A. Wendt, Joaquin E. Drut, Timo A. Lahde

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Tags: Computational Physics, Condensed matter, CUDA, Monte Carlo simulation, nVidia, Physics, Statistical Mechanics, Tesla C1060

November 11, 2010 by hgpu

A GPU-based hyperbolic SVD algorithm

Vedran Novakovic, Sanja Singer

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Tags: Computer science, CUDA, Hyperbolic system, Mathematics, MPI, Numerical Analysis, nVidia, nVidia GeForce GTX 275, nVidia GeForce GTX 280, Tesla C1060

November 10, 2010 by hgpu

GPU-based Iterative Cone Beam CT Reconstruction Using Tight Frame Regularization

Xun Jia, Bin Dong, Yifei Lou, Steve B. Jiang

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Tags: Computed tomography, CUDA, Medical Physics, Medicine, nVidia, Physics, Tesla C1060

November 10, 2010 by hgpu

Astrophysical Supercomputing with GPUs: Critical Decisions for Early Adopters

Christopher J. Fluke, David G. Barnes, Benjamin R. Barsdell, Amr H. Hassan

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Tags: Astrophysics, ATI, ATI Radeon HD 5970, CUDA, Gravitational lensing, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, nVidia GeForce 8800 GT, OpenCL, Tesla C1060

November 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

Enabling a High Throughput Real Time Data Pipeline for a Large Radio Telescope Array with GPUs

GPU-based ultra-fast direct aperture optimization for online adaptive radiation therapy

Real-time volumetric image reconstruction and 3D tumor localization based on a single x-ray projection image for lung cancer radiotherapy

CUDA simulations of active dumbbell suspensions

Reionization simulations powered by GPUs I: the structure of the Ultraviolet radiation field

Ultra-fast treatment plan optimization for volumetric modulated arc therapy (VMAT)

MYRIAD: A new N-body code for simulations of Star Clusters

A Flexible Patch-Based Lattice Boltzmann Parallelization Approach for Heterogeneous GPU-CPU Clusters

Toward large-scale Hybrid Monte Carlo simulations of the Hubbard model on graphics processing units

A GPU-based hyperbolic SVD algorithm

GPU-based Iterative Cone Beam CT Reconstruction Using Tight Frame Regularization

Astrophysical Supercomputing with GPUs: Critical Decisions for Early Adopters

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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