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Efficient Algorithms for Sorting on GPUs

Seema M. Munavalli

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Sorting, Thesis

August 7, 2012 by hgpu

Swarm-NG: a CUDA Library for Parallel n-body Integrations with focus on Simulations of Planetary Systems

Saleh Dindar, Eric B. Ford, Mario Juric, Young In Yeo, Jianwei Gao, Aaron C. Boley, Benjamin Nelson, Jorg Peters

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Tags: Astrophysics, CUDA, Differential equations, Earth and Planetary Astrophysics, Instrumentation and Methods for Astrophysics, Mathematical Software, N-body simulation, nVidia, nVidia GeForce GTX 480, ODEs, Ordinary differential equations, Package, Tesla C2070, Tesla M2070, Tesla T10

August 7, 2012 by hgpu

Visualization of Astronomical Nebulae via Distributed Multi-GPU Compressed Sensing Tomography

Stephan Wenger, Marco Ament, Stefan Guthe, Dirk Lorenz, Andreas Tillmann, Daniel Weiskopf, Marcus Magnor

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Tags: Computer science, CUDA, GPU cluster, MPI, nVidia, nVidia GeForce GTX 480, Rendering, Sensing, Tomography, Visualization

August 6, 2012 by hgpu

Improving GPU Sparse Matrix-Vector Multiplication for Probabilistic Model Checking

Anton J. Wijs, Dragan Bosnacki

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Package, Probabilistic model checking, Sparse matrix

August 6, 2012 by hgpu

On Parallel Software Verification using Boolean Equation Systems

Alexander Ditter, Milan Ceska, Gerald Luttgen

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480

August 6, 2012 by hgpu

Porting marine ecosystem model spin-up using transport matrices to GPUs

E. Siewertsen, J. Piwonski, T. Slawig

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Tags: CUDA, Earth and Space Sciences, Fortran, MPI, nVidia, nVidia GeForce GTX 480

August 4, 2012 by hgpu

Performance Analysis of GPU Accelerators with Realizable Utilization of Computational Density

Justin Richardson, Alan D. George, Herman Lam

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Tags: Computer science, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GT 240, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Performance, Tesla C1060, Tesla C870

August 3, 2012 by hgpu

Application of the Mean Field Methods to MRF Optimization in Computer Vision

Masaki Saito, Takayuki Okatani, Koichiro Deguchi

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 480, OpenMP

July 31, 2012 by hgpu

Ensemble K-Means on Modern Many Core Hardware

Girish Ravunnikutty

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Tags: Bioinformatics, Clustering, Computer science, Data mining, Machine learning, nVidia, nVidia GeForce GTX 480, OpenCL, Package, Pattern recognition, Thesis

July 28, 2012 by hgpu

Acceleration of Variance of Color Differences-Based Demosaicing Using CUDA

Muhammad Ismail Faruqi, Fumihiko Ino, Kenichi Hagihara

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 480

July 28, 2012 by hgpu

SnuCL: an OpenCL framework for heterogeneous CPU/GPU clusters

Jungwon Kim, Sangmin Seo, Jun Lee, Jeongho Nah, Gangwon Jo, Jaejin Lee

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Tags: Code generation, Computer science, GPU cluster, Heterogeneous systems, MPI, nVidia, nVidia GeForce GTX 480, OpenCL, Operating systems, Package, Programming Languages, Programming techniques

July 26, 2012 by hgpu

Accelerating Noninvasive Transmural Electrophysiological Imaging with CUDA

Martin Andrew Corraine

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Tags: CUDA, Heart, Medicine, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 480, Tesla C2070, Thesis

July 25, 2012 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

Efficient Algorithms for Sorting on GPUs

Swarm-NG: a CUDA Library for Parallel n-body Integrations with focus on Simulations of Planetary Systems

Visualization of Astronomical Nebulae via Distributed Multi-GPU Compressed Sensing Tomography

Improving GPU Sparse Matrix-Vector Multiplication for Probabilistic Model Checking

On Parallel Software Verification using Boolean Equation Systems

Porting marine ecosystem model spin-up using transport matrices to GPUs

Performance Analysis of GPU Accelerators with Realizable Utilization of Computational Density

Application of the Mean Field Methods to MRF Optimization in Computer Vision

Ensemble K-Means on Modern Many Core Hardware

Acceleration of Variance of Color Differences-Based Demosaicing Using CUDA

SnuCL: an OpenCL framework for heterogeneous CPU/GPU clusters

Accelerating Noninvasive Transmural Electrophysiological Imaging with CUDA

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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