high performance computing on graphics processing units: hgpu.org

hgpu.org » nVidia GeForce FX 5800 Ultra

High-Quality Point-Based Rendering on Modern GPUs

Mario Botsch, Leif Kobbelt

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Tags: Computer science, Filtering, nVidia, nVidia GeForce FX 5800 Ultra, OpenGL, Rendering

February 7, 2011 by hgpu

Rendering Forest Scenes in Real-Time

Philippe Decaudin, Fabrice Neyret

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce FX 5800 Ultra, OpenGL, Rendering

February 7, 2011 by hgpu

Pixel-Exact Rendering of Spacetime Finite Element Solutions

Yuan Zhou, Michael Garland, Robert Haber

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Tags: Computer science, Finite element method, Image generation, nVidia, nVidia GeForce FX 5800 Ultra, OpenGL, Rendering

February 5, 2011 by hgpu

Batched Multi Triangulation

Paolo Cignoni, Fabio Ganovelli, Enrico Gobbetti, Fabio Marton

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Tags: Computer science, nVidia, nVidia GeForce 6800 GT, nVidia GeForce FX 5800 Ultra, nVidia GeForce FX 5950 Ultra, Rendering

January 31, 2011 by hgpu

CULLIDE: interactive collision detection between complex models in large environments using graphics hardware

Naga K. Govindaraju, Stephane Redon, Ming C. Lin, Dinesh Manocha

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Tags: Collision detection, Computer science, nVidia, nVidia GeForce FX 5800 Ultra, OpenGL

January 5, 2011 by hgpu

Automatic tuning matrix multiplication performance on graphics hardware

Changhao Jiang, M. Snir

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Tags: Brook, Computer science, DirectX, Linear Algebra, Matrix multiplication, nVidia, nVidia GeForce 6800 GT, nVidia GeForce 6800 Ultra, nVidia GeForce FX 5800 Ultra, nVidia Quadro FX 3400, OpenGL

November 30, 2010 by hgpu

Detection of collisions and self-collisions using image-space techniques

Bruno Heidelberger, Matthias Teschner, Markus Gross

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Tags: Collision detection, Computer science, nVidia, nVidia GeForce FX 5800 Ultra, OpenGL

November 29, 2010 by hgpu

A multigrid solver for boundary value problems using programmable graphics hardware

Nolan Goodnight, Cliff Woolley, Gregory Lewin, David Luebke, Greg Humphreys

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Tags: Cg, Fluid dynamics, Fluid simulation, nVidia, nVidia GeForce FX 5800 Ultra, PDEs

November 25, 2010 by hgpu

GPU Cluster for High Performance Computing

Zhe Fan, Feng Qiu, A. Kaufman, S. Yoakum-Stover

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Tags: Computer science, Fluid dynamics, GPU cluster, Lattice Boltzmann model, nVidia, nVidia GeForce FX 5800 Ultra

October 27, 2010 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

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high performance computing on graphics processing units: hgpu.org

High-Quality Point-Based Rendering on Modern GPUs

Rendering Forest Scenes in Real-Time

Pixel-Exact Rendering of Spacetime Finite Element Solutions

Batched Multi Triangulation

CULLIDE: interactive collision detection between complex models in large environments using graphics hardware

Automatic tuning matrix multiplication performance on graphics hardware

Detection of collisions and self-collisions using image-space techniques

A multigrid solver for boundary value problems using programmable graphics hardware

GPU Cluster for High Performance Computing

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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