high performance computing on graphics processing units: hgpu.org

Abtin Rahimian, Ilya Lashuk, Shravan Veerapaneni, Aparna Chandramowlishwaran, Dhairya Malhotra, Logan Moon, Rahul Sampath, Aashay Shringarpure, Jeffrey Vetter, Richard Vuduc, Denis Zorin, George Biros

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Tags: CUDA, Fluid dynamics, GPU cluster, Medicine, MPI, N-body simulation, nVidia, Tesla S1070

April 28, 2011 by hgpu

An 80-Fold Speedup, 15.0 TFlops Full GPU Acceleration of Non-Hydrostatic Weather Model ASUCA Production Code

Takashi Shimokawabe, Takayuki Aoki, Chiashi Muroi, Junichi Ishida, Kohei Kawano, Toshio Endo, Akira Nukada, Naoya Maruyama, Satoshi Matsuoka

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Tags: CUDA, Earth and Space Sciences, GPU cluster, nVidia, Tesla S1070, Weather Prediction Model

April 28, 2011 by hgpu

GRS – GPU radix sort for multifield records

Shibdas Bandyopadhyay, Sartaj Sahni

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Tags: Algorithms, Computer science, CUDA, nVidia, Sorting, Tesla C1060

April 27, 2011 by hgpu

Realtime affine-photometric KLT feature tracker on GPU in CUDA framework

Jun-Sik Kim, Myung Hwangbo, Takeo Kanade

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Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce 8600 M, nVidia GeForce 8800 GTX, nVidia GeForce 8800 Ultra, nVidia GeForce GTX 280, Optical flow, Video tracking

April 27, 2011 by hgpu

Solving Parabolic Problems Using Multithread and GPU

Chih-Wei Hsieh, Sheng-Hsiu Kuo, Fang-An Kuo, Chau-Yi Chou

Tags: CUDA, Fluid dynamics, nVidia, nVidia GeForce GT 200, Partial differential equations, PDEs

April 26, 2011 by hgpu

Study on acceleration technique for two-dimensional FDTD algorithm based on GPU

Feng Jin, Xiaoli Xi, Hu Liu, Zhensheng Shi, Daocheng Wu

Tags: CUDA, Electrodynamics, FDTD, Finite-difference time-domain, nVidia

April 26, 2011 by hgpu

GPU accelerated fast FEM deformation simulation

Youquan Liu, Shaohui Jiao, Wen Wu, Suvranu De

Tags: Computer science, CUDA, FEM, Finite element method, nVidia, nVidia GeForce 8800 GTX

April 25, 2011 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

American Options Based on Malliavin Calculus and Nonparametric Variance Reduction Methods

GPU implementation of motion estimation for visual saliency

Serpent encryption algorithm implementation on Compute Unified Device Architecture (CUDA)

Finite temperature lattice QCD with GPUs

GPU implementation of the pixel purity index algorithm for hyperspectral image analysis

Petascale Direct Numerical Simulation of Blood Flow on 200K Cores and Heterogeneous Architectures

An 80-Fold Speedup, 15.0 TFlops Full GPU Acceleration of Non-Hydrostatic Weather Model ASUCA Production Code

GRS – GPU radix sort for multifield records

Realtime affine-photometric KLT feature tracker on GPU in CUDA framework

Solving Parabolic Problems Using Multithread and GPU

Study on acceleration technique for two-dimensional FDTD algorithm based on GPU

GPU accelerated fast FEM deformation simulation

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Tutoring LLM into a Better CUDA Optimizer

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

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