high performance computing on graphics processing units: hgpu.org

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GPU accelerating the FEniCS Project

Fredrik Heffer Valdmanis

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Tags: Computer science, CUDA, Differential equations, Linear Algebra, nVidia, Partial differential equations, PDEs, Tesla C2070, Thesis

December 8, 2012 by hgpu

Lightweight Modular Staging and Embedded Compilers: Abstraction Without Regret for High-Level High-Performance Programming

Tiark Rompf

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Tags: Code generation, Compilers, Computer science, CUDA, Heterogeneous systems, nVidia, Performance, Software Engineering, Tesla C2050, Thesis

December 8, 2012 by hgpu

Parallel Cosegmentation via Submodular Optimization on Anisotropic Diffusion

Dinesh Majeti, Aditya Prakash, S. Balasubramanian, PK Baruah

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Tags: Clustering, CUDA, CULA, Image processing, nVidia, Optimization, Tesla S2050

December 5, 2012 by hgpu

Gauge Field Generation on Large-Scale GPU-Enabled Systems

Frank Winter

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Tags: Computational Physics, CUDA, High Energy Physics - Lattice, nVidia, Physics, QCD, Tesla M2090

December 5, 2012 by hgpu

Usage of GPU in LS-DYNA

Uli Goehner

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Tags: CAD, Computer science, CUDA, nVidia, Tesla M2050

December 5, 2012 by hgpu

gR: A GPU-based Router

Priya Sundaresan, Sripriya Venkateshprasad, Yamini Muralitharan, Ranjani Parthasarathi

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Tags: Computer science, CUDA, Networks, nVidia, nVidia GeForce GT 220, Security

December 4, 2012 by hgpu

Molecular dynamics for long-range interacting systems on Graphic Processing Units

Tarcisio M. Rocha Filho

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Tags: Algorithms, Computational Physics, CUDA, Molecular dynamics, nVidia, nVidia GeForce GTX 690, Physics, Statistical Mechanics

December 4, 2012 by hgpu

GPU-Based Implementation of JPEG2000 Encoder

M. Ahmadvand, A. Ezhdehakosh

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Tags: CUDA, Discrete Wavelet Transform, Image processing, JPEG2000, nVidia, nVidia GeForce GTX 480

December 3, 2012 by hgpu

Hybrid Sample-based Surface Rendering

F. Reichl, M.G. Chajdas, K. Burger, R. Westermann

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Rasterization, Rendering

December 3, 2012 by hgpu

Simulations of Complex and Microscopic Models of Cardiac Electrophysiology Powered by Multi-GPU Platforms

Bruno Gouvea de Barros, Rafael Sachetto Oliveira, Wagner Meira Jr., Marcelo Lobosco, Rodrigo Weber dos Santos

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Tags: Cluster computing, CUDA, Heterogeneous systems, Medicine, nVidia, ODEs, Ordinary differential equations, Partial differential equations, PDEs, Tesla C1060

December 3, 2012 by hgpu

GPU-based Space Situational Awareness Simulation utilising parallelism for enhanced multi-sensor management

Tyler A. Hobson, I. Vaughan L. Clarkson

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Tags: CUDA, Earth and Space Sciences, nVidia

December 3, 2012 by hgpu

Non-steady relaxation and critical exponents at the depinning transition

Ezequiel E. Ferrero, Sebastian Bustingorry, Alejandro B. Kolton

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Tags: Condensed matter, CUDA, Numerical simulation, nVidia, nVidia GeForce GTX 470, nVidia GeForce GTX 480, Physics, Statistical Mechanics, Tesla C2075

December 3, 2012 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

See all packages

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high performance computing on graphics processing units: hgpu.org

GPU accelerating the FEniCS Project

Lightweight Modular Staging and Embedded Compilers: Abstraction Without Regret for High-Level High-Performance Programming

Parallel Cosegmentation via Submodular Optimization on Anisotropic Diffusion

Gauge Field Generation on Large-Scale GPU-Enabled Systems

Usage of GPU in LS-DYNA

gR: A GPU-based Router

Molecular dynamics for long-range interacting systems on Graphic Processing Units

GPU-Based Implementation of JPEG2000 Encoder

Hybrid Sample-based Surface Rendering

Simulations of Complex and Microscopic Models of Cardiac Electrophysiology Powered by Multi-GPU Platforms

GPU-based Space Situational Awareness Simulation utilising parallelism for enhanced multi-sensor management

Non-steady relaxation and critical exponents at the depinning transition

Recent source codes

OpScanner

Atlas CLI: Machine Learning (ML) Lifecycle & Transparency Manager

transformers_tvm: Implementation of Encoder Decoder transformer on TVM

INT v.s. FP: A framework to compare low-bit integer and float-point formats

AutoDock-GPU: AutoDock for GPUs and other accelerators

NCCLX: collective communication framework

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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