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Applications

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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

Developing and Deploying Advanced Algorithms to Novel Supercomputing Hardware

Robert J. Brunner, Volodymyr V. Kindratenko, Adam D. Myers

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Tags: Algorithms, Astrophysics, Computer science, FPGA, Review

November 13, 2010 by hgpu

Fast recursive filters for simulating nonlinear dynamic systems

J. H. van Hateren

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Tags: Algorithms, Biology, Neurons and Cognition

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

Recent algorithm and machine developments for lattice QCD

Ken-Ichi Ishikawa

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Tags: High Energy Physics - Lattice, Monte Carlo simulation, Physics, QCD, Review

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

The Graphics Card as a Streaming Computer

Suresh Venkatasubramanian

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Tags: Computer science, Review

November 13, 2010 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

GPU plugin for PySCF

Python-Based Quantum Chemistry Calculations with GPU Acceleration

QArray

QArray: a GPU-accelerated constant capacitance model simulator for large quantum dot arrays

Celerity: High-level C++ for Accelerator Clusters

Balancing Tracking Granularity and Parallelism in Many-Task Systems: The Horizons Approach

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

Parallel Gaussian process with kernel approximation in CUDA

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