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Comparing Many-Core Accelerator Frameworks

G. Haase, A. Kucher

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Tags: Code generation, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, OpenCL, Optimization

February 15, 2012 by hgpu

Spatial interpolation of scattered geoscientific data

Florian Hanzer

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Tags: Algorithms, Earth and Space Sciences, Geoscience, nVidia, nVidia GeForce GTX 580, OpenCL, Visualization

February 14, 2012 by hgpu

Analytic Anti-Aliasing of Linear Functions on Polytopes

Thomas Auzinger, Michael Guthe, Stefan Jeschke

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Tags: Computer science, CUDA, DirectX, Image generation, nVidia, nVidia GeForce GTX 580, Rasterization

February 13, 2012 by hgpu

GPU-based Swendsen-Wang multi-cluster algorithm for the simulation of two-dimensional classical spin systems

Yukihiro Komura, Yutaka Okabe

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Tags: Algorithms, Computational Physics, CUDA, Ising model, Monte Carlo simulation, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 580, Physics, Spin Systems, Statistical Mechanics

February 6, 2012 by hgpu

A Fast Parallel Implementation of Queue-based Morphological Reconstruction using GPUs

George Teodoro, Tony Pan, Tahsin M. Kurc, Lee Cooper, Jun Kong, Joel H. Saltz

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Tags: Algorithms, CUDA, Image processing, Microscopy, nVidia, nVidia GeForce GTX 580, Tesla C2070

February 5, 2012 by hgpu

Efficient GPU implementation of a two waves WAF method for the two-dimensional one layer Shallow Water system on structured meshes

Marc de la Asuncion, Manuel J. Castro, E. D. Fernandez-Nieto, Jose M. Mantas, Sergio Ortega Acosta, Jose Manuel Gonzalez-Vida

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Tags: CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580

January 24, 2012 by hgpu

Experiences in Data-Parallel Simulation and Analysis of Complex Systems with Irregular Graph Structures

Arno Leist

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Tags: Algorithms, Cell processor, Computer science, CUDA, Graph theory, Neural networks, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 580, Phase transition, Thesis

January 23, 2012 by hgpu

Exact Symbolic-Numeric Computation of Planar Algebraic Curves

Eric Berberich, Pavel Emeliyanenko, Alexander Kobel, Michael Sagraloff

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Tags: Algorithms, Computer science, CUDA, Mathematical Software, Numerical Analysis, nVidia, nVidia GeForce GTX 580, Symbolic Computation

January 23, 2012 by hgpu

Revision of Relational Joins for Multi-Core and Many-Core Architectures

Martin Krulis, Jakub Yaghob

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Tags: Algorithms, Computer science, CUDA, Databases, Join, nVidia, nVidia GeForce GTX 580

January 22, 2012 by hgpu

Fast Graph Cuts using Shrink-Expand Reparameterization

Parikshit Sakurikar, P. J. Narayanan

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 580, Optimization

January 21, 2012 by hgpu

GPU-based implementation of a cerebellar spiking network model for realtime robot control

Tadashi Yamazaki, Jun Igarashi

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Tags: Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 580

January 17, 2012 by hgpu

Data registration module – a component of semantic simulation engine

Janusz Bedkowski

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Tags: Algorithms, Computer science, CUDA, Data Structures and Algorithms, Nearest neighbour, nVidia, nVidia GeForce GTX 580

January 17, 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

Comparing Many-Core Accelerator Frameworks

Spatial interpolation of scattered geoscientific data

Analytic Anti-Aliasing of Linear Functions on Polytopes

GPU-based Swendsen-Wang multi-cluster algorithm for the simulation of two-dimensional classical spin systems

A Fast Parallel Implementation of Queue-based Morphological Reconstruction using GPUs

Efficient GPU implementation of a two waves WAF method for the two-dimensional one layer Shallow Water system on structured meshes

Experiences in Data-Parallel Simulation and Analysis of Complex Systems with Irregular Graph Structures

Exact Symbolic-Numeric Computation of Planar Algebraic Curves

Revision of Relational Joins for Multi-Core and Many-Core Architectures

Fast Graph Cuts using Shrink-Expand Reparameterization

GPU-based implementation of a cerebellar spiking network model for realtime robot control

Data registration module – a component of semantic simulation engine

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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