high performance computing on graphics processing units: hgpu.org

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Implementing Domain-Specific Languages for Heterogeneous Parallel Computing

HyoukJoong Lee, Kevin J. Brown, Arvind K. Sujeeth, Hassan Chafi, Kunle Olukotun, Tiark Rompf, Martin Odersky

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Tags: Code generation, Computer science, CUDA, Heterogeneous systems, Machine learning, nVidia, Optimization, Tesla C2050

October 28, 2011 by hgpu

Dax: Data Analysis at Extreme

Kenneth Moreland, Utkarsh Ayachit, Berk Geveci, Kwan-Liu Ma

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Tags: Algorithms, Computer science, Poster, Visualization

October 28, 2011 by hgpu

Techniques to maximize memory bandwidth on the Rigel compute accelerator

William J. Tuohy

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Tags: ATI, ATI Radeon HD 5870, Computer science, Memory, nVidia, nVidia GeForce GTX 480, Optimization, Performance, Tesla T10, Thesis

October 27, 2011 by hgpu

Efficient Simulation of Ocean and Land Scenes Based on Digital Earth

Sujun Li, Xiaosu Zhan, Yaoli Wang, Feng Ding

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Tags: 3D Graphics and Realism, Algorithms, ATI, ATI Radeon X600, Computer science, DirectX, Rendering, Visualization

October 27, 2011 by hgpu

Sample distribution shadow maps

Andrew Lauritzen, Marco Salvi, Aaron Lefohn

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Tags: 3D Graphics and Realism, Algorithms, ATI, ATI Radeon HD 5870, Computer science, DirectX, Interactive application, Rendering

October 27, 2011 by hgpu

Development of a volume rendering system using 3D texture compression techniques on general-purpose personal computers

Akio Doi, Hiroki Takahashi, Taro Mawatari, Sachio Mega

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Tags: Algorithms, Compression, Computer science, nVidia, nVidia Quadro FX 1800, OpenGL, Programming techniques, Rendering

October 27, 2011 by hgpu

Parallelization of Single Threaded Applications using OpenMP and CUDA/C

John Burns

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Tags: Computer science, CUDA, Databases, nVidia, OpenMP, Software Engineering

October 27, 2011 by hgpu

Efficient Implementation and Evaluation of Methods for the Estimation of Motion in Image Sequences

Robert Hegner

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 260, Optical flow, Package, Thesis

October 27, 2011 by hgpu

Efficient Implementation of Optical Flow Algorithm Based on Directional Filters on a GPU Using CUDA

Robert Hegner, Ivar Austvoll, Tom Ryen, Guido M. Schuster

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 260, Optical flow, Package

October 27, 2011 by hgpu

Dense Dynamic Programming on Multi GPU

Vincent Boyer, Didier El Baz, Moussa Elkihel

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Tags: Computer science, CUDA, GPU cluster, Hybrid computing, nVidia, Tesla S1070

October 26, 2011 by hgpu

Precision and Performance: Floating Point and IEEE 754 Compliance for NVIDIA GPUs

Nathan Whitehead, Alex Fit-Florea

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Tags: Computer science, CUDA, nVidia, Precision

October 26, 2011 by hgpu

A case study on porting scientific applications to GPU/CUDA

Javier Delgado, Joao Gazolla, Esteban Clua, S. Masoud Sadjadi

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Tags: Computer science, CUDA, Earth and Space Sciences, Fortran, nVidia, nVidia GeForce 9300 M, nVidia GeForce 9400 M, Tesla S1070, Weather prediction

October 26, 2011 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

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high performance computing on graphics processing units: hgpu.org

Implementing Domain-Specific Languages for Heterogeneous Parallel Computing

Dax: Data Analysis at Extreme

Techniques to maximize memory bandwidth on the Rigel compute accelerator

Efficient Simulation of Ocean and Land Scenes Based on Digital Earth

Sample distribution shadow maps

Development of a volume rendering system using 3D texture compression techniques on general-purpose personal computers

Parallelization of Single Threaded Applications using OpenMP and CUDA/C

Efficient Implementation and Evaluation of Methods for the Estimation of Motion in Image Sequences

Efficient Implementation of Optical Flow Algorithm Based on Directional Filters on a GPU Using CUDA

Dense Dynamic Programming on Multi GPU

Precision and Performance: Floating Point and IEEE 754 Compliance for NVIDIA GPUs

A case study on porting scientific applications to GPU/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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