high performance computing on graphics processing units: hgpu.org

hgpu.org » Applications » Computer science

Compute Unified Device Architecture Application Suitability

Wen M. Hwu, Christopher Rodrigues, Shane Ryoo, John Stratton

Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX

November 25, 2010 by hgpu

A Superresolution Framework for High-Accuracy Multiview Reconstruction

Bastian Goldlucke, Daniel Cremers

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Tags: Computer science, Optimization, PDEs

November 25, 2010 by hgpu

Novel Computing Architectures

Volodymyr Kindratenko

Tags: Cell processor, Computer science, FPGA, Review

November 25, 2010 by hgpu

Fast face tracking using parallel particle filter algorithm

Ke-Yan Liu, Shan-Qing Li, Liang Tang, Lei Wang, Wei Liu

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Tags: Computer vision, Image processing, Video tracking

November 25, 2010 by hgpu

A particle-based method for viscoelastic fluids animation

Yuanzhang Chang, Kai Bao, Youquan Liu, Jian Zhu, Enhua Wu

Tags: 3D Graphics and Realism, Computer science, Fluid dynamics, Rendering

November 25, 2010 by hgpu

Designing and optimizing compute kernels on NVIDIA GPUs

Damir A. Jamsek

Tags: CAD, Computer science, CUDA, nVidia

November 25, 2010 by hgpu

A high-throughput screening approach to discovering good forms of biologically inspired visual representation

Nicolas Pinto, David Doukhan, James J. DiCarlo, David D. Cox

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Tags: Computer vision, CUDA, Image processing, nVidia

November 25, 2010 by hgpu

Fast minimum spanning tree for large graphs on the GPU

Vibhav Vineet, Pawan Harish, Suryakant Patidar, P. J. Narayanan

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Tesla S1070

November 25, 2010 by hgpu

GL4D: A GPU-based Architecture for Interactive 4D Visualization

A. Chu, Chi-Wing Fu, A. Hanson, Pheng-Ann Heng

Tags: Computer science, nVidia, OpenGL, Visualization

November 25, 2010 by hgpu

Granular visibility queries on the GPU

Thomas Engelhardt, Carsten Dachsbacher

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Tags: 3D Graphics and Realism, ATI, ATI Radeon HD 3870, Computer science, nVidia, nVidia GeForce GTX 280, OpenGL, Rendering

November 25, 2010 by hgpu

Compression Domain Volume Rendering

Jens Schneider, Rudiger Westermann

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Tags: 3D Graphics and Realism, ATI, ATI Radeon 9700, Compression, Computer science, DirectX, Rendering

November 25, 2010 by hgpu

Interactive Out-of-core Visualisation of Very Large Landscapes on Commodity Graphics Platform

P. Cignoni, F. Ganovelli, E. Gobbetti, F. Marton, F. Ponchio, R. Scopigno

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Tags: Computer science, nVidia, Rendering

November 25, 2010 by hgpu

CFAL-bench

Comparing Parallel Functional Array Languages: Programming and Performance

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

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high performance computing on graphics processing units: hgpu.org

Applications

Compute Unified Device Architecture Application Suitability

A Superresolution Framework for High-Accuracy Multiview Reconstruction

Novel Computing Architectures

Fast face tracking using parallel particle filter algorithm

A particle-based method for viscoelastic fluids animation

Designing and optimizing compute kernels on NVIDIA GPUs

A high-throughput screening approach to discovering good forms of biologically inspired visual representation

Fast minimum spanning tree for large graphs on the GPU

GL4D: A GPU-based Architecture for Interactive 4D Visualization

Granular visibility queries on the GPU

Compression Domain Volume Rendering

Interactive Out-of-core Visualisation of Very Large Landscapes on Commodity Graphics Platform

Recent source codes

CFAL-bench

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

PELSI: Power-Efficient Layer-Switched Inference

Ouroboros: Virtualized Queues for dynamic memory management

MSCCL++: A GPU-driven communication stack for scalable AI applications

Benchmark compute shader of Unity against InteropUnityCUDA

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

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