high performance computing on graphics processing units: hgpu.org

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Exploring weak scalability for FEM calculations on a GPU-enhanced cluster

Dominik Goddeke, Robert Strzodka, Jamaludin Mohd-Yusof, Patrick McCormick, Sven H.M. Buijssen, Matthias Grajewski and Stefan Turek

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Tags: Computer science, Finite element method, GPU cluster, MPI, nVidia, nVidia Quadro FX 5600

December 16, 2010 by hgpu

High-throughput Bayesian network learning using heterogeneous multicore computers

Michael D. Linderman, Robert Bruggner, Vivek Athalye, Teresa H. Meng, Narges B. Asadi, Garry P. Nolan

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Tags: Algorithms, CUDA, GPU cluster, Mathematics, nVidia, nVidia GeForce GTX 285, Statistics, Tesla C1060, Tesla S1070

December 15, 2010 by hgpu

Integrative multicellular biological modeling: a case study of 3D epidermal development using GPU algorithms

Scott Christley, Briana Lee, Xing Dai, Qing Nie

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Tags: Biology, CUDA, nVidia, nVidia GeForce GTX 285

December 15, 2010 by hgpu

Visual simulation of thermal fluid dynamics in a pressurized water reactor

Zhe Fan, Yu-Chuan Kuo, Ye Zhao, Feng Qiu, Arie Kaufman, William Arcieri

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Tags: Cg, Fluid dynamics, GPU cluster, Lattice Boltzmann model, nVidia, nVidia Quadro FX 4500, OpenGL, Visualization

December 15, 2010 by hgpu

Scalable and Interactive Segmentation and Visualization of Neural Processes in EM Datasets

Won-ki Jeong, Johanna Beyer, Student Member, Markus Hadwiger, Amelio Vazquez, Student Member, Hanspeter Pfister, Senior Member, Ross T. Whitaker

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Tags: Biology, Electron microscopy, Neuroscience, nVidia, nVidia Quadro FX 5800, Rendering, Tesla C1060

December 15, 2010 by hgpu

Haptic guided 3-D deformable image registration

Petter Risholm, Eigil Samset

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Tags: Image processing, Image registration, Medicine, nVidia, nVidia GeForce 7800 GTX, OpenGL

December 15, 2010 by hgpu

Hybrid of genetic algorithm and local search to solve MAX-SAT problem using nVidia CUDA framework

Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama

Tags: Algorithms, Computer science, CUDA, nVidia, Search, Tesla C1060

December 15, 2010 by hgpu

Genetic programming on graphics processing units

Denis Robilliard, Virginie Marion-Poty, Cyril Fonlupt

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Source codes

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Package

December 15, 2010 by hgpu

Filtered Blending: A new, minimal Reconstruction Filter for Ghosting-Free Projective Texturing with Multiple Images

Martin Eisemann, Anita Sellent, Marcus Magnor

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Tags: Computer science, GLSL, nVidia, nVidia GeForce 8800 GTX, OpenGL, Real-time graphics, Rendering

December 15, 2010 by hgpu

Real-time multi-band synthesis of ocean water with new iterative up-sampling technique

E. Miandji, Sargazi, Faramarz Samavati, M. Emadi

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Tags: Computer science, DirectX, nVidia, nVidia GeForce 7600 GO, Real-time graphics, Rendering

December 15, 2010 by hgpu

Acceleration of cardiac tissue simulation with graphic processing units

Daisuke Sato, Yuanfang Xie, James Weiss, Zhilin Qu, Alan Garfinkel, Allen Sanderson

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Tags: CUDA, Medicine, nVidia, nVidia GeForce 8800 GT, nVidia GeForce 9800 GX2, ODEs, Ordinary differential equations, Partial differential equations, PDEs

December 15, 2010 by hgpu

Optimizing Monte Carlo radiosity on graphics hardware

J. Sanjurjo, M. Amor, M. Boo, R. Doallo, J. Casares

Tags: Computer science, CUDA, Monte Carlo simulation, nVidia, Optimization, Rendering

December 15, 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

Exploring weak scalability for FEM calculations on a GPU-enhanced cluster

High-throughput Bayesian network learning using heterogeneous multicore computers

Integrative multicellular biological modeling: a case study of 3D epidermal development using GPU algorithms

Visual simulation of thermal fluid dynamics in a pressurized water reactor

Scalable and Interactive Segmentation and Visualization of Neural Processes in EM Datasets

Haptic guided 3-D deformable image registration

Hybrid of genetic algorithm and local search to solve MAX-SAT problem using nVidia CUDA framework

Genetic programming on graphics processing units

Filtered Blending: A new, minimal Reconstruction Filter for Ghosting-Free Projective Texturing with Multiple Images

Real-time multi-band synthesis of ocean water with new iterative up-sampling technique

Acceleration of cardiac tissue simulation with graphic processing units

Optimizing Monte Carlo radiosity on graphics hardware

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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