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A multiphysics and multiscale software environment for modeling astrophysical systems

Simon Portegies Zwart, Steve McMillan, Stefan Harfst, Derek Groen, Michiko Fujii, Breanndan O Nuallain, Evert Glebbeek, Douglas Heggie, James Lombardi, Piet Hut, Vangelis Angelou, Sambaran Banerjee, Houria Belkus, Tassos Fragos, John Fregeau, Evghenii Gaburov, Rob Izzard, Mario Juric, Stephen Justham, Andrea Sottoriva, Peter Teuben, Joris van Bever, Ofer Yaron, Marcel Zemp

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Tags: Astrophysics, N-body simulation, nVidia, Package

November 13, 2010 by hgpu

Time dependent simulation of the Driven Lid Cavity at High Reynolds Number

N. Cardoso, P. Bicudo

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Tags: CUDA, Fluid dynamics, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce GTX 280

November 13, 2010 by hgpu

Fast GPU Implementation of Sparse Signal Recovery from Random Projections

M. Andrecut

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Tags: CUDA, nVidia, nVidia GeForce 8400 GS, nVidia GeForce GTX 280, Signal processing

November 13, 2010 by hgpu

Parallel Algorithm for Solving Kepler’s Equation on Graphics Processing Units: Application to Analysis of Doppler Exoplanet Searches

Eric B. Ford

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Tags: Astrophysics, CUDA, Earth and Planetary Astrophysics, Gravitation, nVidia, nVidia GeForce GTX 280

November 13, 2010 by hgpu

Parallel GPU Implementation of Iterative PCA Algorithms

M. Andrecut

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Tags: Algorithms, CUBLAS, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 280

November 13, 2010 by hgpu

Using Graphics Processors for Parallelizing Hash-based Data Carving

Sylvain Collange, Yoginder Dandass, Marc Daumas, David Defour

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Tags: Computer science, Data recovery, Hashing, nVidia, nVidia GeForce 8500 GT, nVidia GeForce 8600 M GT

November 13, 2010 by hgpu

GPU computing for 2-d spin systems: CUDA vs OpenGL

Viola Anselmi, Giovanni Conti, Francesco Di Renzo

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Tags: CUDA, High Energy Physics - Lattice, Ising model, Monte Carlo simulation, nVidia, nVidia GeForce 8800 GTX, OpenGL, Physics

November 13, 2010 by hgpu

Implementation of float-float operators on graphics hardware

Guillaume Da Gracca, David Defour

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Tags: Cg, Computer science, nVidia, nVidia GeForce 7800 GTX, Review

November 13, 2010 by hgpu

Benchmarking and Implementation of Probability-Based Simulations on Programmable Graphics Cards

S. Tomov, M. McGuigan, R. Bennett, G. Smith, J. Spiletic

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Tags: Cg, Computer science, Ising model, Monte Carlo simulation, nVidia, Performance, Physics

November 13, 2010 by hgpu

Cg in Two Pages

Mark J. Kilgard

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Tags: Cg, Computer science, High-level Languages, HLSL, nVidia, Review

November 13, 2010 by hgpu

Solving Kinetic Equations on GPUs I: Model Kinetic Equations

Aldo Frezzotti, Gian Pietro Ghiroldi, Livio Gibelli

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Tags: Boltzmann equation, Computational Physics, CUDA, nVidia, nVidia GeForce GTX 260, Physics

November 13, 2010 by hgpu

Density Functional Theory calculation on many-cores hybrid CPU-GPU architectures

Luigi Genovese, Matthieu Ospici, Thierry Deutsch, Jean-Francois Mehaut, Alexey Neelov, Stefan Goedecker

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Tags: Computational Physics, Condensed matter, CUDA, Materials Science, nVidia, Physics, Tesla S1070

November 13, 2010 by hgpu

CrossTL: Universal Programming Language & Translator

CrossTL: A Universal Programming Language Translator with Unified Intermediate Representation

TBD-GPU

Harnessing Batched BLAS/LAPACK Kernels on GPUs for Parallel Solutions of Block Tridiagonal Systems

DG-SWEM - The Discontinuous Galerkin Shallow Water Equation Model

GPU-acceleration of the Discontinuous Galerkin Shallow Water Equations Solver (DG-SWEM) using CUDA and OpenACC

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Accelerating a Linear Programming Algorithm on AMD GPUs

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Towards Efficient and Practical GPU Multitasking in the Era of LLM

Bandicoot: C++ library for GPU accelerated linear algebra

Bandicoot: A Templated C++ Library for GPU Linear Algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

The Fused Kernel Library: A C++ API to Develop Highly-Efficient GPU Libraries

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

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