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Detecting multiple periodicities in observational data with the multi-frequency periodogram. II. Frequency Decomposer, a parallelized time-series analysis algorithm

Roman V. Baluev

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Tags: Algorithms, Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GT 210, Package

September 4, 2013 by hgpu

Studying the core-cusp problem in cold dark matter halos using N-body simulations on GPU clusters

Go Ogiya, Masao Mori, Yohei Miki, Taisuke Boku, Naohito Nakasato

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Tags: Analytical model, Astrophysics, Cosmology, CUDA, GPU cluster, Gravitation, N-body simulation, nVidia, Physics, Tesla M2090

August 17, 2013 by hgpu

The Astrophysical Multipurpose Software Environment

F.I. Pelupessy, A. van Elteren, N. de Vries, S.L.W. McMillan, N. Drost, S.F. Portegies Zwart

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Tags: Astrophysics, CUDA, Gravitation, Instrumentation and Methods for Astrophysics, MPI, nVidia, Package, Python

July 21, 2013 by hgpu

A comparison of period finding algorithms

Matthew J. Graham, Andrew J. Drake, S.G. Djorgovski, Ashish A. Mahabal, Ciro Donalek, Victor Duan, Alison Maher

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Tags: Algorithms, Astrophysics, ATI, ATI Radeon HD 6770 M, Instrumentation and Methods for Astrophysics, OpenCL

July 12, 2013 by hgpu

Trapping of giant-planet cores – I. vortex aided trapping at the outer dead zone edge

Zs. Regaly, Zs. Sandor, P. Csomos, S. Ataiee

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Tags: Astrophysics, CUDA, Numerical simulation, nVidia, Package, Solar and Stellar Astrophysics, Tesla C2050

May 27, 2013 by hgpu

Scaling Radio Astronomy Signal Correlation on Heterogeneous Supercomputers Using Various Data Distribution Methodologies

Ruonan Wang, Christopher Harris

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Tags: Astrophysics, GPU cluster, Heterogeneous systems, Instrumentation and Methods for Astrophysics, nVidia, OpenCL, Signal processing, Tesla C2075

May 27, 2013 by hgpu

Super Earths and Dynamical Stability of Planetary Systems: First Parallel GPU Simulations Using GENGA

S.Elser, S.L.Grimm, J.G.Stadel

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Tags: Astrophysics, CUDA, Earth and Planetary Astrophysics, N-body simulation, nVidia, nVidia GeForce GTX 590, Particle simulation

May 21, 2013 by hgpu

Point Spread Function Estimation of Solar Surface Images with a Cooperative Particle Swarm Optimization on GPUs

Peter Frank Perroni

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Tags: Algorithms, Astrophysics, Image processing, nVidia, OpenCL, Package, Particle swarm optimization, Tesla C2050, Thesis

May 16, 2013 by hgpu

Auto-tuning a LOFAR radio astronomy pipeline in JavaCL

Jan Kis

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Tags: Astrophysics, Java, nVidia, nVidia GeForce GTX 480, OpenCL, Signal processing, Thesis

May 11, 2013 by hgpu

Non-symmetric magnetohydrostatic equilibria: a multigrid approach

D. MacTaggart, A. Elsheikh, J. A. McLaughlin, R. D. Simitev

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Tags: Astrophysics, CUDA, Differential equations, Electrodynamics, Finite difference, Magnetohydrodynamics, nVidia, Partial differential equations, PDEs

May 8, 2013 by hgpu

Simulating the universe with GPU-accelerated supercomputers: n-body methods, tests, and examples

Benjamin D. Wibking

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Tags: Astrophysics, Cosmology, CUDA, Gravitation, N-body simulation, nVidia, Package, Thesis

May 7, 2013 by hgpu

Data-rich astronomy: mining synoptic sky surveys

Stefano Cavuoti

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Tags: Astrophysics, Cosmology and Extragalactic Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GT 540 M, Thesis

May 3, 2013 by hgpu

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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high performance computing on graphics processing units: hgpu.org

Applications

Detecting multiple periodicities in observational data with the multi-frequency periodogram. II. Frequency Decomposer, a parallelized time-series analysis algorithm

Studying the core-cusp problem in cold dark matter halos using N-body simulations on GPU clusters

The Astrophysical Multipurpose Software Environment

A comparison of period finding algorithms

Trapping of giant-planet cores – I. vortex aided trapping at the outer dead zone edge

Scaling Radio Astronomy Signal Correlation on Heterogeneous Supercomputers Using Various Data Distribution Methodologies

Super Earths and Dynamical Stability of Planetary Systems: First Parallel GPU Simulations Using GENGA

Point Spread Function Estimation of Solar Surface Images with a Cooperative Particle Swarm Optimization on GPUs

Auto-tuning a LOFAR radio astronomy pipeline in JavaCL

Non-symmetric magnetohydrostatic equilibria: a multigrid approach

Simulating the universe with GPU-accelerated supercomputers: n-body methods, tests, and examples

Data-rich astronomy: mining synoptic sky surveys

Recent source codes

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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