high performance computing on graphics processing units: hgpu.org

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GPU-Accelerated Point-Based Color Bleeding

Ryan Daniel Schmitt

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Tags: Algorithms, ATI, ATI Radeon HD 5970, Computer science, Heterogeneous systems, OpenGL, Rasterization, Thesis

July 20, 2012 by hgpu

Point Based Color Bleeding with CUDA and Caching

Nick Feeney

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, Rasterization

June 30, 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

Realistic Lighting Simulation for Interactive VR Applications

Alexander Loffler, Lukas Marsalek, Hilko Hoffmann, Philipp Slusallek

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce 9600 GT, OpenGL, Rasterization, Raytracing, Virtual reality

February 6, 2012 by hgpu

Decoupled Deferred Shading for Hardware Rasterization

Gabor Liktor, Carsten Dachsbacher

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce GTX 580, Rasterization, Rendering

January 4, 2012 by hgpu

Speeding Up Geospatial Polygon Rasterization on GPGPUs

Jianting Zhang

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Tags: CUDA, Earth and Space Sciences, Geoscience, nVidia, Rasterization, Sorting, Tesla C2050

December 31, 2011 by hgpu

Efficient Triangle and Quadrilateral Clipping within Shaders

M. McGuire

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Tags: Algorithms, Computer science, GLSL, nVidia, nVidia GeForce GTX 580, OpenGL, Optimization, Package, Rasterization

December 31, 2011 by hgpu

Hierarchical Stochastic Motion Blur Rasterization

Jacob Munkberg, Petrik Clarberg, Jon Hasselgren, Robert Toth, Masamichi Sugihara, Tomas Akenine-Moller

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Tags: Algorithms, Computer science, CUDA, Image generation, nVidia, nVidia GeForce GTX 290, Rasterization

December 31, 2011 by hgpu

High-performance software rasterization on GPUs

Samuli Laine, Tero Karras

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Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Package, Rasterization

October 31, 2011 by hgpu

Real-time ray casting of algebraic B-spline surfaces

Feifei Wei, Jieqing Feng

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, Interactive application, nVidia, nVidia GeForce GTX 570, Rasterization, Real-time graphics, Visualization

September 19, 2011 by hgpu

Analytical motion blur rasterization with compression

Carl Johan Gribel, Michael Doggett, Tomas Akenine-Moller

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Tags: Algorithms, Compression, Image processing, Performance, Rasterization

September 15, 2011 by hgpu

Beyond programmable shading (parts I and II)

Aaron Lefohn, Mike Houston, Johan Andersson, Ulf Assarsson, Cass Everitt, Kayvon Fatahalian, Tim Foley, Justin Hensley, Paul Lalonde, David Luebke

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Tags: 3D Graphics and Realism, Algorithms, Computer science, DirectX, Image processing, OpenGL, Presentation, Programming techniques, Rasterization, Raytracing, Rendering

September 9, 2011 by hgpu

PyTorch: An Imperative Style, High-Performance Deep Learning Library

PyTorch: An Imperative Style, High-Performance Deep Learning Library

Masivo: Parallel public transport routes simulation

Masivo: Parallel Simulation Model Based on OpenCL for Massive Public Transportation Systems’ Routes

FBLAS: BLAS implementation for Intel FPGA

FBLAS: Streaming Linear Algebra Kernels on FPGA

FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of Things

FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of Things

Titan: A CUDA-based physics simulation sandbox for high-performance robotics, physics, and reinforcement learning applications

Titan: A Parallel Asynchronous Library for Multi-Agent and Soft-Body Robotics using NVIDIA CUDA

onYourMarks: A deep learning benchmark implementation for Nvidia's Jetson TX2

Benchmarking Deep Learning Models on Jetson TX2

Hacking Neural Networks: A small course on exploiting and defending neural networks

Hacking Neural Networks: A Short Introduction

A Computing Kernel for Network Binarization on PyTorch

A Computing Kernel for Network Binarization on PyTorch

Deep Learning Based FPGA-CPU Acceleration

Deep Learning Based FPGA-CPU Acceleration

KTT: Kernel Tuning Toolkit

Framework for Parallel Kernels Auto-tuning

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2020

April

27-29

Munich, Germany

8th International Workshop on OpenCL, including SYCLCon, 2019

2019

May

13-15

Boston, USA

7th International Workshop on OpenCL, 2019

2019

May

13

Boston, MA, USA

Distributed Heterogeneous Programming in C/C++ (DHPCC++), 2019

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14

Larnaca, Cyprus

3rd International Workshop on Theoretical Approaches to Performance Evaluation, Modeling and Simulation (TAPEMS), 2019

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26-28

Rome, Italy

International Conference on Frontiers of Neural Networks (ICFNN), 2019

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