OpenGL | Page 9 | hgpu.org

hgpu.org » OpenGL

Prefiltered Single Scattering

Oliver Klehm, Hans-Peter Seidel, Elmar Eisemann

View

Download (PDF)

Tags: 3D Graphics and Realism, Algorithms, Computer science, Filtering, Games, nVidia, nVidia GeForce GTX Titan, OpenGL

January 17, 2014 by hgpu

Parallelization and Optimization of Feature Detection Algorithms on Embedded GPU

Seung Heon Kang, Seung-Jae Lee, In Kyu Park

View

Download (PDF)

Tags: Algorithms, ARM, Computer science, Computer vision, OpenCL, OpenGL, SIFT

January 14, 2014 by hgpu

k+-buffer: Fragment Synchronized k-buffer

Andreas A. Vasilakis, Ioannis Fudos

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, nVidia, nVidia GeForce GTX 480, OpenGL, Package, Real-time graphics, Rendering, Visualization

January 14, 2014 by hgpu

Integrating Occlusion Culling with Parallel LOD for Rendering Complex 3D Environments on GPU

Chao Peng, Yong Cao

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Mesh simplification, nVidia, nVidia Quadro 5000, OpenGL, Rendering, Thrust

January 10, 2014 by hgpu

On-the-fly Generation and Rendering of Infinite Cities on the GPU

Markus Steinberger, Michael Kenzel, Bernhard Kainz, Peter Wonka, Dieter Schmalstieg

View

Download (PDF)

Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, nVidia Quadro 6000, OpenGL, Rendering

January 9, 2014 by hgpu

GLSL Essentials

Jacobo Rodriguez

View

Download (PDF)

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

January 5, 2014 by hgpu

Interactive Ray-tracing Based on OptiX to Visualize Signed Distance Fields

Taejung Park, Yangmi Lim

View

Download (PDF)

Tags: 3D Graphics and Realism, Computer science, CUDA, KD-tree, nVidia, OpenGL, OptiX, Raytracing, Triangular meshes

January 2, 2014 by hgpu

OpenCL Programming by Example

Ravishekhar Banger, Koushik Bhattacharyya

View

Download (PDF)

Tags: Book, Computer science, Image processing, Matrix multiplication, Memory model, Nearest neighbour, OpenCL, OpenGL, Pattern recognition, Tutorial

December 27, 2013 by hgpu

Transparent Checkpoint-Restart for Hardware-Accelerated 3D Graphics

Samaneh Kazemi, Rohan Garg, Gene Cooperman

View

Download (PDF)

Tags: Computer science, nVidia, nVidia GeForce GT 650 M, OpenGL, Operating systems

December 24, 2013 by hgpu

Videogame Graphics, BigData & Analytics

Eamonn Killian

View

Download (PDF)

Tags: Book, Computer science, CUDA, Games, OpenCL, OpenGL

December 21, 2013 by hgpu

Towards an interactive and automated script feature analysis of 3D scanned cuneiform tablets

D. Fisseler, F. Weichert, G.G.W. Muller, M. Cammarosano

View

Download (PDF)

Tags: Computer science, Computer vision, GLSL, nVidia, nVidia GeForce GTX 560 Ti, OpenGL, Visualization

November 21, 2013 by hgpu

Real-time rendering of large surface-scanned range data natively on a GPU

Sajid Farooq

View

Download (PDF)

Tags: ATI, ATI Radeon HD 4870 X2, ATI Radeon HD 5870, Computer science, GLSL, nVidia, nVidia GeForce 8800 GTX, OpenGL, Rendering, Thesis

November 19, 2013 by hgpu

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

tritonBLAS: Triton-based Analytical Approach for GEMM Kernel Parameter Selection

hls4ml: Machine learning on FPGAs using HLS

hls4ml: A Flexible, Open-Source Platform for Deep Learning Acceleration on Reconfigurable Hardware

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Prefiltered Single Scattering

Parallelization and Optimization of Feature Detection Algorithms on Embedded GPU

k+-buffer: Fragment Synchronized k-buffer

Integrating Occlusion Culling with Parallel LOD for Rendering Complex 3D Environments on GPU

On-the-fly Generation and Rendering of Infinite Cities on the GPU

GLSL Essentials

Interactive Ray-tracing Based on OptiX to Visualize Signed Distance Fields

OpenCL Programming by Example

Transparent Checkpoint-Restart for Hardware-Accelerated 3D Graphics

Videogame Graphics, BigData & Analytics

Towards an interactive and automated script feature analysis of 3D scanned cuneiform tablets

Real-time rendering of large surface-scanned range data natively on a GPU

Recent source codes

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

hls4ml: Machine learning on FPGAs using HLS

Most viewed papers (last 30 days)