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Simulating the Spread of Epidemics in Real-world Trading Networks using OpenCL

Martin Clauss

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Tags: Biology, Medicine, nVidia, nVidia GeForce GTX 470, nVidia Quadro 1000 M, OpenCL

May 4, 2012 by hgpu

Random Walks based Multi-Image Segmentation: Quasiconvexity Results and GPU-based Solutions

Maxwell D. Collins, Jia Xu, Leo Grady, Vikas Singh

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Tags: Algorithms, CUDA, Image processing, Linear Algebra, nVidia, nVidia GeForce GTX 470, Optimization

April 28, 2012 by hgpu

An Automatic OpenCL Compute Kernel Generator for Basic Linear Algebra Operations

Philippe Tillet, Karl Rupp, Siegfried Selberherr

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Tags: Algorithms, Code generation, Computer science, Linear Algebra, nVidia, nVidia GeForce GTX 470, OpenCL, Package

April 21, 2012 by hgpu

Multi-level Parallelism for Time- and Cost-efficient Parallel Discrete Event Simulation on GPUs

Georg Kunz, Daniel Schemmel, James Gross, Klaus Wehrle

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Tags: Computer science, CUDA, Design space exploration, nVidia, nVidia GeForce GTX 470

April 19, 2012 by hgpu

Fast GPU-based fluid simulations using SPH

Oystein E. Krog, Anne C. Elster

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Tags: CUDA, Fluid dynamics, Fluid simulation, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 470, Package, Tesla C2050

April 16, 2012 by hgpu

Efficient Hash Tables on the GPU

Dan Anthony Feliciano Alcantara

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Tags: Algorithms, Computer science, CUDA, Hashing, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 470, Thesis

April 14, 2012 by hgpu

Robust Computational Tools for Multiple Testing With Genetic Association Studies

William L. Welbourn Jr.

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 470, Thesis

April 7, 2012 by hgpu

Image Processing on Graphical Processing Units for faster DNA Sequencing

Joep Schreurs

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Tags: Algorithms, CUDA, Image processing, Image registration, nVidia, nVidia GeForce GTX 470

April 5, 2012 by hgpu

Introducing ‘Bones’: A Parallelizing Source-to-Source Compiler Based on Algorithmic Skeletons

Cedric Nugteren, Henk Corporaal

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Tags: Algorithms, ATI, ATI Radeon HD 5850, Code generation, Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 470, OpenCL

February 20, 2012 by hgpu

Skeleton-based Automatic Parallelization of Image Processing Algorithms for GPUs

Cedric Nugteren, Henk Corporaal, Bart Mesman

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Tags: Algorithms, Code generation, CUDA, Image processing, nVidia, nVidia GeForce GTX 470, Optimization

February 17, 2012 by hgpu

Robust Real-Time Multiprocessor Interrupt Handling Motivated by GPUs

Glenn A. Elliott, James H. Anderson

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 470, Package

February 14, 2012 by hgpu

Cross Teaching Parallelism and Ray Tracing: A Project-based Approach to Teaching Applied Parallel Computing

Chris Lupo, Zoe J. Wood, Christine Victorino

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Tags: Computer science, CUDA, Education, nVidia, nVidia GeForce GTX 470, Performance, Programming techniques, Raytracing, Rendering

February 14, 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

Simulating the Spread of Epidemics in Real-world Trading Networks using OpenCL

Random Walks based Multi-Image Segmentation: Quasiconvexity Results and GPU-based Solutions

An Automatic OpenCL Compute Kernel Generator for Basic Linear Algebra Operations

Multi-level Parallelism for Time- and Cost-efficient Parallel Discrete Event Simulation on GPUs

Fast GPU-based fluid simulations using SPH

Efficient Hash Tables on the GPU

Robust Computational Tools for Multiple Testing With Genetic Association Studies

Image Processing on Graphical Processing Units for faster DNA Sequencing

Introducing ‘Bones’: A Parallelizing Source-to-Source Compiler Based on Algorithmic Skeletons

Skeleton-based Automatic Parallelization of Image Processing Algorithms for GPUs

Robust Real-Time Multiprocessor Interrupt Handling Motivated by GPUs

Cross Teaching Parallelism and Ray Tracing: A Project-based Approach to Teaching Applied Parallel Computing

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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