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Metamorphic Testing for (Graphics) Compilers

Alastair F. Donaldson, Andrei Lascu

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Tags: Compilers, Computer science, GLSL, nVidia, nVidia GeForce GTX 980 M, OpenCL, OpenGL

March 5, 2016 by hgpu

GPU-Based Inverse Rendering With Multi-Objective Particle Swarm Optimization

Koki Nagano, Thomas Collins, Chi-An Chen, Aiichiro Nakano

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Tags: Algorithms, Computer science, GLSL, Particle swarm optimization, Rendering, Visualization

November 20, 2015 by hgpu

Implementing a Photorealistic Rendering System using GLSL

Toshiya Hachisuka

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Source codes

Tags: 3D Graphics and Realism, ATI, ATI Radeon HD 5870, Computer science, GLSL, Intel HD 5000, Intel HD Graphics 4000, nVidia, nVidia GeForce GT 630, nVidia GeForce GTX 680, OpenGL, Package, Raytracing, Rendering

May 28, 2015 by hgpu

A GPU-based framework for efficient image processing

Per Karlsson

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Tags: CUDA, GLSL, Image processing, nVidia, nVidia GeForce GTX 760, OpenCL, OpenGL, Python, Thesis

November 20, 2014 by hgpu

A GPU-based Framework for Real-time Free Viewpoint Television

Kyrylo Shegeda

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Tags: Computer science, CUDA, GLSL, nVidia, nVidia Quadro FX 1700, nVidia Quadro FX 5800, Rendering, Thesis

November 3, 2014 by hgpu

GPGPU Acceleration for Skeletal Animation-comparing OpenCL with CUDA and GLSL

Shousheng Liu, Ge Chen, Chunyong Ma, Yong Han

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Tags: ATI, ATI Radeon HD 7750, Computer science, CUDA, GLSL, nVidia, nVidia GeForce GTS 250, nVidia GeForce GTX 670, OpenCL, OpenGL, Performance, Rendering

October 25, 2014 by hgpu

Illustrative Rendering of Particle Systems

Jennifer Chandler, Harald Obermaier, Kenneth I. Joy

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Tags: 3D Graphics and Realism, Computer science, GLSL, OpenCL, Rendering, Visualization

August 23, 2014 by hgpu

Interactive GPU Ray Casting using Progressive Blue Noise Sampling

R. Gmyr, S. Arens, G. Domik

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Tags: Algorithms, Computer science, GLSL, OpenGL, Visualization

July 16, 2014 by hgpu

Graphic Processing Unit Simulation of Axon Growth and Guidance through Cue Diffusion on Massively Parallel Processors

Ana M. Mihut, Graham Morgan, Marcus Kaiser

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Tags: Biology, CUDA, GLSL, Neuroscience, nVidia, nVidia GeForce GTX 460, nVidia Quadro 600, OpenGL, Programming techniques, Tesla K20

May 24, 2014 by hgpu

Implementation of a PIC simulation using WebGL

Leonard Weydemann

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Tags: Computer science, GLSL, Java, nVidia, nVidia GeForce GT 310, nVidia GeForce GTX 760 M, OpenGL, Particle-in-cell methods, Thesis

May 3, 2014 by hgpu

Fast 3D Graphics Rendering Technique with CUDA Parallel Processing

Ji-Hoon Kang, Syung-Og An, Shin-Jin Kang, Seok-Hun Kim, SooKyun Kim

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Tags: 3D Graphics and Realism, Computer science, CUDA, GLSL, nVidia, nVidia GeForce GTX 285, OpenGL, Raytracing, Rendering

February 8, 2014 by hgpu

GLSL Essentials

Jacobo Rodriguez

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

January 5, 2014 by hgpu

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

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

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Metamorphic Testing for (Graphics) Compilers

GPU-Based Inverse Rendering With Multi-Objective Particle Swarm Optimization

Implementing a Photorealistic Rendering System using GLSL

A GPU-based framework for efficient image processing

A GPU-based Framework for Real-time Free Viewpoint Television

GPGPU Acceleration for Skeletal Animation-comparing OpenCL with CUDA and GLSL

Illustrative Rendering of Particle Systems

Interactive GPU Ray Casting using Progressive Blue Noise Sampling

Graphic Processing Unit Simulation of Axon Growth and Guidance through Cue Diffusion on Massively Parallel Processors

Implementation of a PIC simulation using WebGL

Fast 3D Graphics Rendering Technique with CUDA Parallel Processing

GLSL Essentials

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

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

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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