high performance computing on graphics processing units: hgpu.org

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Practical logarithmic rasterization for low-error shadow maps

Brandon Lloyd, Naga K. Govindaraju, Steven E. Molnar, Dinesh Manocha

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Tags: 3D Graphics and Realism, Computer science, Image generation, nVidia, nVidia GeForce 6800 GT, OpenGL

January 12, 2011 by hgpu

Quick-CULLIDE: fast inter- and intra-object collision culling using graphics hardware

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

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Tags: 3D Graphics and Realism, Collision detection, Computer science, nVidia, nVidia GeForce FX 6800 Ultra, OpenGL

January 8, 2011 by hgpu

Interactive volume illustration

Z. Nagy, J. Schneider, R. Westermann

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce 4, OpenGL, Rendering

January 6, 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

GPU-Assisted Z-Field Simplification

Alexander Bogomjakov, Craig Gotsman

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Tags: Cg, Image processing, nVidia, nVidia GeForce FX 5900, OpenGL, Triangular meshes

January 4, 2011 by hgpu

Engineering of Computer Vision Algorithms Using Evolutionary Algorithms

Marc Ebner

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Tags: Algorithms, Computer science, Computer vision, nVidia, nVidia GeForce 9600 GT, OpenGL

January 4, 2011 by hgpu

A hardware-aware debugger for the OpenGL shading language

Magnus Strengert, Thomas Klein, Thomas Ertl

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Source codes

Tags: Computer science, GLSL, High-level Languages, nVidia, OpenGL, Package, Programming techniques

January 3, 2011 by hgpu

High Speed Articulated Object Tracking Using GPUs: A Particle Filter Approach

Raul Cabido, David Concha, Juan Jose Pantrigo, Antonio S. Montemayor

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Tags: Computer science, nVidia, nVidia GeForce 7800 GTX, nVidia GeForce 8600 GTS, nVidia GeForce 8800 GTS, nVidia GeForce GTX 260, OpenGL, Video tracking

January 3, 2011 by hgpu

SBArt4 – Breeding abstract animations in realtime

Tatsuo Unemi

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Tags: ATI, ATI Radeon X1600, Computer science, GLSL, nVidia, nVidia GeForce 9400 M, OpenGL, Real-time graphics

January 3, 2011 by hgpu

Multiresolution MIP Rendering of Large Volumetric Data Accelerated on Graphics Hardware

Wladimir J. van der Laan, Andrei Jalba, Jos B. T. M. Roerdink

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Tags: Algorithms, Image processing, nVidia, nVidia GeForce 7900 GTX, OpenGL, Rendering, Visualization

January 2, 2011 by hgpu

Real-time Rendering of Heterogeneous Translucent Objects with Arbitrary Shapes

Yajun Wang, Jiaping Wang, Nicolas Holzschuch, Kartic Subr, Jun-Hai Yong, Baining Guo

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Tags: 3D Graphics and Realism, Computer science, GLSL, nVidia, nVidia GeForce 8800 GTX, OpenGL, Rendering

January 2, 2011 by hgpu

Sinus Endoscopy – Application of Advanced GPU Volume Rendering for Virtual Endoscopy

Arno Kruger, Christoph Kubisch, Bernhard Preim, Gero Strauss

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Tags: Cg, Medicine, nVidia, nVidia GeForce 8600 GS, OpenGL, Rendering, Visualization

January 2, 2011 by hgpu

CuPBoP-AMD: Extending CUDA to AMD Platforms

CuPBoP: Making CUDA a Portable Language

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

Automated Deep Learning Optimization via DSL-Based Source Code Transformation

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

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

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

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

See all packages

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high performance computing on graphics processing units: hgpu.org

Practical logarithmic rasterization for low-error shadow maps

Quick-CULLIDE: fast inter- and intra-object collision culling using graphics hardware

Interactive volume illustration

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

GPU-Assisted Z-Field Simplification

Engineering of Computer Vision Algorithms Using Evolutionary Algorithms

A hardware-aware debugger for the OpenGL shading language

High Speed Articulated Object Tracking Using GPUs: A Particle Filter Approach

SBArt4 – Breeding abstract animations in realtime

Multiresolution MIP Rendering of Large Volumetric Data Accelerated on Graphics Hardware

Real-time Rendering of Heterogeneous Translucent Objects with Arbitrary Shapes

Sinus Endoscopy – Application of Advanced GPU Volume Rendering for Virtual Endoscopy

Recent source codes

CuPBoP-AMD: Extending CUDA to AMD Platforms

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

ROCm's implementation of Gromacs

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

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

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

Most viewed papers (last 30 days)