high performance computing on graphics processing units: hgpu.org

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Fluid Simulation on Surfaces in the GPU

Leonardo Carvalho, Maria Andrade, Luiz Velho

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Tags: Algorithms, CUDA, Fluid dynamics, Fluid simulation, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce GTX 470

July 18, 2012 by hgpu

Exposure Render: An Interactive Photo-Realistic Volume Rendering Framework

Thomas Kroes, Frits H. Post, Charl P. Botha

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 470, Package, Raytracing, Rendering, Visualization

July 10, 2012 by hgpu

Random Walks for Image Cosegmentation

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

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

July 7, 2012 by hgpu

Fast algorithm of ray tracing based on KD-tree structure

Yuanlong Wang, Ping Guo

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Tags: Algorithms, Computer science, CUDA, KD-tree, nVidia, nVidia GeForce GTX 470, Raytracing

July 7, 2012 by hgpu

Evaluation of likelihood functions on CPU and GPU devices

Sverre Jarp, Alfio Lazzaro, Julien Leduc, Andrzej Nowak, Yngve Sneen Lindal

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Tags: ATI, ATI Radeon HD 5870, Data acquisition, nVidia, nVidia GeForce GTX 470, OpenCL, Physics

June 26, 2012 by hgpu

Approximate Principal Direction Trees

Mark McCartin-Lim, Andrew McGregor, Rui Wang

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Tags: Computer science, Data Structures and Algorithms, Machine learning, nVidia, nVidia GeForce GTX 470

June 25, 2012 by hgpu

GPUSync: Architecture-Aware Management of GPUs for Predictable Multi-GPU Real-Time Systems

Glenn A. Elliott, Bryan C. Ward, James H. Anderson

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

June 11, 2012 by hgpu

Fast Morphological Image Processing Open-Source Extensions for GPU processing with CUDA

Matthew J. Thurley, Victor Danell

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 470, Package, Signal processing

June 9, 2012 by hgpu

A Comparison of Algebraic Multigrid Preconditioners using Graphics Processing Units and Multi-Core Central Processing Units

Markus Wagner, Karl Rupp, Josef Weinbub

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Tags: Computer science, nVidia, nVidia GeForce GTX 470, OpenCL, Performance

June 8, 2012 by hgpu

Towards Distributed Heterogenous High-Performance Computing with ViennaCL

Josef Weinbub, Karl Rupp, Siegfried Selberherr

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Tags: Benchmarking, Computer science, Distributed computing, MPI, nVidia, nVidia GeForce GTX 470, nVidia GeForce GTX 580, OpenCL, Package, Tesla C2050

June 1, 2012 by hgpu

Parallel Approach for Time Series Analysis with General Regression Neural Networks

J.C. Cuevas-Tello, R.A. Gonzalez-Grimaldo, O. Rodriguez-Gonzalez, H.G. Perez-Gonzalez, O. Vital-Ochoa

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Tags: Algorithms, Astrophysics, CUDA, MPI, Neural networks, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 470, Physics

May 14, 2012 by hgpu

Design of a Hybrid Memory System for General-Purpose Graphics Processing Units

Patrick Carpenter

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Tags: Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 470, nVidia GeForce GTX 480, Tesla C2070, Tesla M2050, Thesis

May 6, 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

Fluid Simulation on Surfaces in the GPU

Exposure Render: An Interactive Photo-Realistic Volume Rendering Framework

Random Walks for Image Cosegmentation

Fast algorithm of ray tracing based on KD-tree structure

Evaluation of likelihood functions on CPU and GPU devices

Approximate Principal Direction Trees

GPUSync: Architecture-Aware Management of GPUs for Predictable Multi-GPU Real-Time Systems

Fast Morphological Image Processing Open-Source Extensions for GPU processing with CUDA

A Comparison of Algebraic Multigrid Preconditioners using Graphics Processing Units and Multi-Core Central Processing Units

Towards Distributed Heterogenous High-Performance Computing with ViennaCL

Parallel Approach for Time Series Analysis with General Regression Neural Networks

Design of a Hybrid Memory System for General-Purpose Graphics Processing Units

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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