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Computer Graphics: From Pixels to Programmable Graphics Hardware

Alexey Boreskov, Evgeniy Shikin

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Tags: 3D Graphics and Realism, Algorithms, Book, Computer science, CUDA, Games, nVidia, OpenCL, OpenGL, Overview, Real-time graphics, Rendering, Tessellation, Tutorial

November 6, 2013 by hgpu

Development of Generic Scheduling Concepts for OpenGL ES 2.0

Waqas Tanveer

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Tags: Computer science, OpenGL, Rendering, Thesis

November 6, 2013 by hgpu

Point to Line Mappings and Other Line Parameterizations not only for Hough Transform

Jiri Havel

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GTX 280, OpenGL, Pattern recognition

October 15, 2013 by hgpu

Advanced 2D Rasterization on Modern CPUs

Peter Mileff, Judit Dudra

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Tags: ATI, ATI Radeon HD 5670, Computer science, OpenGL, Rasterization, Rendering, Visualization

October 7, 2013 by hgpu

APOGEE: adaptive prefetching on GPUs for energy efficiency

Ankit Sethia, Ganesh Dasika, Mehrzad Samadi, Scott Mahlke

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Tags: Computer science, CUDA, Energy-efficient computing, nVidia, OpenGL, Prefetch

September 28, 2013 by hgpu

Performance Optimization of Vision Apps on Mobile Application Processor

Kwang-Ting (Tim) Cheng, Xin Yang and Yi-Chu Wang

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Tags: Computer science, Computer vision, Heterogeneous systems, nVidia, nVidia Tegra, OpenGL

August 24, 2013 by hgpu

A Shader Library for OpenGL 4 and GLSL 4.3 Learning and Development

Vitor de Andrade, Ricardo Marroquim

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Tags: 3D Graphics and Realism, Computer science, GLSL, OpenGL

August 23, 2013 by hgpu

PixelPie: Maximal Poisson-disk Sampling with Rasterization

Cheuk Yiu Ip, M. Adil Yalcin, David Luebke, Amitabh Varshney

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

August 10, 2013 by hgpu

Finding Next Best Views for Autonomous UAV Mapping through GPU-Accelerated Particle Simulation

Benjamin Adler, Junhao Xiao, Jianwei Zhang

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 670, nVidia Quadro 2000, OpenGL, Package, Particle simulation

August 10, 2013 by hgpu

A GPU implementation of massively parallel direction splitting for the incompressible Navier-Stokes equations

Adam L. Preuss

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Tags: Algorithms, Fluid dynamics, Laplace and Poisson equation, nVidia, OpenCL, OpenGL, Poisson equation, Tesla M2075, Thesis

August 9, 2013 by hgpu

Real-Time Electroholography Using a Multi-GPU Environmental PC

Naoki Takada, Hiroaki Niwase, Hiromitsu Araki, Hirotaka Nakayama, Atsushi Sugiyama, Takashi Kakue, Tomoyoshi Shimobaba, Tomoyoshi Ito

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Tags: Computer holography, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 680, OpenGL

August 2, 2013 by hgpu

Comparing CUDA, OpenCL and OpenGL Implementations of the Cardiac Monodomain Equations

Rafael Sachetto Oliveira, Bernardo Martins Rocha, Ronan Mendonça Amorim, Fernando Otaviano Campos, Wagner Meira Jr., Elson Magalhães Toledo, Rodrigo Weber dos Santos

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Tags: cardiac simulation, comparison, CUDA, OpenCL, OpenGL

August 2, 2013 by rbm84

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice

HeterPS: Distributed Deep Learning With Reinforcement Learning Based Scheduling in Heterogeneous Environments

BAT: A standardized benchmark suite for auto-tuners

BAT: A Benchmark suite for AutoTuners

The Darmstadt Automotive Parallel HeterogeNEous (DAPHNE) Benchmark-Suite

Programming Heterogeneous Systems with General and Domain-Specific Frameworks

General purpose lattice QCD code set Bridge++ 2.0 for high performance computing

General purpose lattice QCD code set Bridge++ 2.0 for high performance computing

MQBench: Towards Reproducible and Deployable Model Quantization Benchmark

MQBench: Towards Reproducible and Deployable Model Quantization Benchmark

Performance Evaluation of Python ParallelProgramming Models: Charm4Py and mpi4py

Performance Evaluation of Python ParallelProgramming Models: Charm4Py and mpi4py

iGUARD: In-GPU Advanced Race Detection

iGUARD: In-GPU Advanced Race Detection

TaPaSCo: The Task Parallel System Composer

Optimizing a Hardware Network Stack to Realize an In-Network ML Inference Application

Tapenade Automatic Differentiation Engine

Source-to-Source Automatic Differentiation of OpenMP Parallel Loops

Colossal-AI: an integrated large-scale model training system with efficient parallelization techniques

Colossal-AI: A Unified Deep Learning System For Large-Scale Parallel Training

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