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Computing resultants on Graphics Processing Units: Towards GPU-accelerated computer algebra

Pavel Emeliyanenko

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Tags: Algorithms, Computer science, CUDA, Modular arithmetic, nVidia, nVidia GeForce GTX 580, Symbolic Computation

October 4, 2012 by hgpu

Parallel computations on GPU in 3D using the vortex particle method

Andrzej Kosior, Henryk Kudela

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Tags: Algorithms, CUDA, Fluid dynamics, Laplace and Poisson equation, nVidia, nVidia GeForce GTX 480, Poisson equation

October 4, 2012 by hgpu

Towards accelerating Smoothed Particle Hydrodynamics simulations for free-surface flows on multi-GPU clusters

Daniel Valdez-Balderas, Jose M. Dominguez, Benedict D. Rogers, Alejandro J.C. Crespo

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Tags: Algorithms, Computational Physics, Condensed matter, CUDA, Fluid dynamics, GPU cluster, Instrumentation and Methods for Astrophysics, Molecular dynamics, MPI, nVidia, nVidia GeForce GTX 480, Physics, Sorting, Tesla M2050

October 4, 2012 by hgpu

KERNELGEN – A Toolchain for Automatic GPU-centric Applications Porting

Dmitry Mikushin, Nicolas Likhogrud

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Source codes

Tags: Computer science, CUDA, nVidia, OpenCL, Package, Portability, Tesla C2050

October 3, 2012 by hgpu

GPU-based infrared thermography for NDE of minefields

F.Pardo, P.Lopez, D. Cabello

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Tags: CUDA, nVidia, nVidia GeForce GTS 250, Physics, Thermodynamics

October 3, 2012 by hgpu

Performance Analysis of an Ultrasound Reconstruction Algorithm for Non Destructive Testing

Antoine Pedron, Lionel Lacassagne, Victor Barbillon, Franck Bimbard, Gilles Rougeron, Stephane Le Berre

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, OpenCL, Tesla C1060, Tesla C2070, Ultrasound

October 3, 2012 by hgpu

Orthogononalization on a general purpose graphics processing unit with double double and quad double arithmetic

Jan Verschelde, Genady Yoffe

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Tags: Algorithms, CUDA, Extended precision, Mathematical Software, Mathematics, Numerical Analysis, nVidia, Tesla C2050

October 3, 2012 by hgpu

CADDIES: A New Framework for Rapid Development of Parallel Cellular Automata Algorithms for Flood Simulation

Michele Guidolin, Andrew Duncan, Bidur Ghimire, Mike Gibson, Edward Keedwell, Albert S. Chen, Slobodan Djordjevic, Dragan Savic

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Tags: Algorithms, Cellular automata, Computer science, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 550 Ti, OpenCL

October 2, 2012 by hgpu

Material Removal Simulation and Cutting Force Prediction of Multi-Axis Machining Processes on General-Purpose Graphics Processing Units

Balazs Tukora

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Tags: Algorithms, CAD, CUDA, Materials Science, nVidia, nVidia GeForce 9600 M GT, nVidia GeForce GTX 480

October 2, 2012 by hgpu

Exploiting Limited Access Distance of ODE Systems for Parallelism and Locality in Explicit Methods

Matthias Korch

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Tags: Computer science, Differential equations, nVidia, nVidia GeForce GTX 580, ODEs, OpenCL, Ordinary differential equations, Partial differential equations, PDEs

October 2, 2012 by hgpu

Parallelizing LINQ Program for GPGPU

Pritesh Agrawal

Tags: Computer science, CUDA, Databases, nVidia, Thesis

October 2, 2012 by hgpu

Parallel Application Library for Object Recognition

Bor-Yiing Su

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Tags: Algorithms, ATI, ATI Radeon HD 6970, Computer science, Computer vision, nVidia, nVidia GeForce GTX 480, OpenCL, Sparse matrix, Thesis

October 1, 2012 by hgpu

AutoDock-GPU: AutoDock for GPUs and other accelerators

Architecting Tensor Core-Based Reductions for Irregular Molecular Docking Kernels

NCCLX: collective communication framework

Collective Communication for 100k+ GPUs

Tutoring LLM into a Better CUDA Optimizer

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

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

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

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

A Performance Portable Matrix Free Dense MTTKRP in GenTen

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation

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high performance computing on graphics processing units: hgpu.org

Computing resultants on Graphics Processing Units: Towards GPU-accelerated computer algebra

Parallel computations on GPU in 3D using the vortex particle method

Towards accelerating Smoothed Particle Hydrodynamics simulations for free-surface flows on multi-GPU clusters

KERNELGEN – A Toolchain for Automatic GPU-centric Applications Porting

GPU-based infrared thermography for NDE of minefields

Performance Analysis of an Ultrasound Reconstruction Algorithm for Non Destructive Testing

Orthogononalization on a general purpose graphics processing unit with double double and quad double arithmetic

CADDIES: A New Framework for Rapid Development of Parallel Cellular Automata Algorithms for Flood Simulation

Material Removal Simulation and Cutting Force Prediction of Multi-Axis Machining Processes on General-Purpose Graphics Processing Units

Exploiting Limited Access Distance of ODE Systems for Parallelism and Locality in Explicit Methods

Parallelizing LINQ Program for GPGPU

Parallel Application Library for Object Recognition

Recent source codes

AutoDock-GPU: AutoDock for GPUs and other accelerators

NCCLX: collective communication framework

Tutoring LLM into a Better CUDA Optimizer

Kernel Library for LLM Serving

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

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

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

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