high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

Time-varying clustering for local lighting and material design

Peijie Huang, Yuanting Gu, Xiaolong Wu, Yanyun Chen, Enhua Wu

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia Quadro FX 4500, Rendering

November 28, 2010 by hgpu

Shader-based tessellation to save memory bandwidth in a mobile multimedia processor

Kyusik Chung, Chang-Hyo Yu, Donghyun Kim, Lee-Sup Kim

Tags: Architecture, Computer science, Hardware, Memory, Tessellation

November 28, 2010 by hgpu

Complexity effective memory access scheduling for many-core accelerator architectures

George L. Yuan, Ali Bakhoda, Tor M. Aamodt

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Tags: Architecture, Computer science, CUDA, Hardware, Memory, nVidia

November 28, 2010 by hgpu

Aurally and visually enhanced audio search with soundtorch

Sebastian Heise, Michael Hlatky, Jorn Loviscach

Tags: Signal processing

November 27, 2010 by hgpu

Interactive Pixel-Accurate Free Viewpoint Rendering from Images with Silhouette Aware Sampling

A. Hornung, L. Kobbelt

Tags: 3D Graphics and Realism, Computer science, Image processing

November 27, 2010 by hgpu

Evenly Spaced Streamlines for Surfaces: An Image-Based Approach

Benjamin Spencer, Robert S. Laramee, Guoning Chen, Eugene Zhang

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Tags: Computer science, nVidia, nVidia GeForce 7900 GS, Shaders, Visualization

November 27, 2010 by hgpu

A Massively Parallel Architecture for Bioinformatics

Gerd Pfeiffer, Stefan Baumgart, Jan Schroder, Manfred Schimmler

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Tags: Algorithms, Bioinformatics, Biology, FPGA, MapReduce

November 27, 2010 by hgpu

Accelerating error correction in high-throughput short-read DNA sequencing data with CUDA

Haixiang Shi, B. Schmidt, Weiguo Liu, W. Muller-Wittig

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Tags: Algorithms, Computer science, CUDA, Error recovery, nVidia, nVidia GeForce GTX 280

November 27, 2010 by hgpu

Parallel reconstruction of neighbor-joining trees for large multiple sequence alignments using CUDA

Yongchao Liu, Bertil Schmidt, Douglas L. Maskell

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Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GTX 280, Sequence alignment, Smith-Waterman algorithm

November 27, 2010 by hgpu

Towards Accelerated Computation of Atmospheric Equations Using CUDA

Vaclav Simek, Radim Dvorak, Frantisek Zboril, Jiri Kunovsky

Tags: CUDA, Earth and Space Sciences, nVidia, Partial differential equations, PDEs

November 27, 2010 by hgpu

Boids that see: Using self-occlusion for simulating large groups on GPUs

Alessandro R. Da Silva, Wallace S. Lages, Luiz Chaimowicz

Tags: Artificial intelligence, Computer science, CUDA, Games, nVidia

November 27, 2010 by hgpu

Hierarchical Markov Random Fields Applied to Model Soft Tissue Deformations on Graphics Hardware

Christof Seiler, Philippe Büchler, Lutz-Peter Nolte, Rasmus Paulsen, Mauricio Reyes

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Tags: ATI, ATI Radeon X1300, Computer science, Finite element method, Medicine, OpenGL

November 27, 2010 by hgpu

Tutoring LLM into a Better CUDA Optimizer

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

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high performance computing on graphics processing units: hgpu.org

Applications

Time-varying clustering for local lighting and material design

Shader-based tessellation to save memory bandwidth in a mobile multimedia processor

Complexity effective memory access scheduling for many-core accelerator architectures

Aurally and visually enhanced audio search with soundtorch

Interactive Pixel-Accurate Free Viewpoint Rendering from Images with Silhouette Aware Sampling

Evenly Spaced Streamlines for Surfaces: An Image-Based Approach

A Massively Parallel Architecture for Bioinformatics

Accelerating error correction in high-throughput short-read DNA sequencing data with CUDA

Parallel reconstruction of neighbor-joining trees for large multiple sequence alignments using CUDA

Towards Accelerated Computation of Atmospheric Equations Using CUDA

Boids that see: Using self-occlusion for simulating large groups on GPUs

Hierarchical Markov Random Fields Applied to Model Soft Tissue Deformations on Graphics Hardware

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Tutoring LLM into a Better CUDA Optimizer

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Kernel Library for LLM Serving

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

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