high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

Parallel medical image reconstruction: from graphics processing units (GPU) to Grids

Maraike Schellmann, Sergei Gorlatch, Dominik Meilander, Thomas Kosters, Klaus Schafers, Frank Wubbeling, Martin Burger

Tags: Cell processor, CUDA, Image processing, Image reconstruction, Medicine, nVidia, PET, Tomography

November 8, 2010 by hgpu

Power Efficient Large Matrices Multiplication by Load Scheduling on Multi-core and GPU Platform with CUDA

DaQi Ren, Reiji Suda

Tags: Computer science, CUDA, Energy-efficient computing, Matrix multiplication, nVidia

November 8, 2010 by hgpu

GPU-based Real-Time Soft Tissue Deformation with Cutting and Haptic Feedback

Hadrien Courtecuisse, Hoeryong Jung, Jeremie Allard, Christian Duriez, Doo Y. Lee, Stephane Cotin

Tags: Biology, Biomechanics, Finite element method, Medicine, Surgical simulation

November 8, 2010 by hgpu

Phase diagram and critical behavior of the square-lattice Ising model with competing nearest- and next-nearest-neighbor interactions

Junqi Yin, D. P. Landau

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Tags: Computational Physics, CUDA, Ising model, Monte Carlo simulation, MPI, nVidia, nVidia GeForce GTX 285, Phase transition, Physics, Statistical Mechanics

November 8, 2010 by hgpu

High-performance cone beam reconstruction using CUDA compatible GPUs

Yusuke Okitsu, Fumihiko Ino, Kenichi Hagihara

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Tags: CUDA, Image processing, Image reconstruction, nVidia, nVidia GeForce 8800 GTX, Tesla C870

November 8, 2010 by hgpu

Accelerating glassy dynamics using graphics processing units

Peter H. Colberg, Felix Hofling

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Source codes

Tags: Computational Physics, CUDA, nVidia, nVidia GeForce GTX 280, Package, Physics, Soft Condensed Matter

November 8, 2010 by hgpu

The CUBLAS and CULA based GPU acceleration of adaptive finite element framework for bioluminescence tomography

Bo Zhang, Xiang Yang, Fei Yang, Xin Yang, Chenghu Qin, Dong Han, Xibo Ma, Kai Liu, Jie Tian

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Tags: CUBLAS, CUDA, CULA, Image processing, Image reconstruction, Medicine, nVidia GeForce GT 240

November 8, 2010 by hgpu

Parallelized computation for computer simulation of electrocardiograms using personal computers with multi-core CPU and general-purpose GPU

Wenfeng Shen, Daming Wei, Weimin Xu, Xin Zhu, Shizhong Yuan

Tags: CUDA, Electrocardiograms simulation, Medicine, nVidia, nVidia GeForce 8800 GT, OpenMP, Optimization

November 8, 2010 by hgpu

Theory of square, rectangular, and microband electrodes through explicit GPU simulation

Ian Cutress, Richard Compton

Tags: Chemistry, Electrochemistry, Finite difference

November 8, 2010 by hgpu

Towards Dense Linear Algebra for Hybrid GPU Accelerated Manycore Systems

Stanimire Tomov, Jack Dongarra, Marc Baboulin

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Tags: Computer science, CUDA, Hybrid computing, Linear Algebra, nVidia, nVidia GeForce GTX 280

November 8, 2010 by hgpu

Bayesian real-time perception algorithms on GPU

Joao Ferreira, Jorge Lobo, Jorge Dias

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 9800 GTX

November 8, 2010 by hgpu

Large-scale mixer simulations using massively parallel GPU architectures

Charles A. Radeke, Benjamin J. Glasser, Johannes G. Khinast

Tags: Chemistry, CUDA, nVidia, Pharmaceuticals, Powder processing

November 8, 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

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high performance computing on graphics processing units: hgpu.org

Applications

Parallel medical image reconstruction: from graphics processing units (GPU) to Grids

Power Efficient Large Matrices Multiplication by Load Scheduling on Multi-core and GPU Platform with CUDA

GPU-based Real-Time Soft Tissue Deformation with Cutting and Haptic Feedback

Phase diagram and critical behavior of the square-lattice Ising model with competing nearest- and next-nearest-neighbor interactions

High-performance cone beam reconstruction using CUDA compatible GPUs

Accelerating glassy dynamics using graphics processing units

The CUBLAS and CULA based GPU acceleration of adaptive finite element framework for bioluminescence tomography

Parallelized computation for computer simulation of electrocardiograms using personal computers with multi-core CPU and general-purpose GPU

Theory of square, rectangular, and microband electrodes through explicit GPU simulation

Towards Dense Linear Algebra for Hybrid GPU Accelerated Manycore Systems

Bayesian real-time perception algorithms on GPU

Large-scale mixer simulations using massively parallel GPU architectures

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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