high performance computing on graphics processing units: hgpu.org

hgpu.org » Instrumentation and Methods for Astrophysics

GPU Accelerated Particle Visualization with Splotch

Marzia Rivi, Claudio Gheller, Mel Krokos, Klaus Dolag, Martin Reinecke

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Tags: Algorithms, Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, MPI, Numerical simulation, nVidia, Rendering, Tesla M2090, Visualization

September 9, 2013 by hgpu

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

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

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

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

A Performance Comparison of Different Graphics Processing Units Running Direct N-Body Simulations

R. Capuzzo-Dolcettaa, M. Spera

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Tags: Astrophysics, ATI, ATI Radeon HD 6970, ATI Radeon HD 7870, ATI Radeon HD 7970, Gravitation, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 680, OpenCL, Package, Tesla C1060, Tesla C2050, Tesla K20

April 9, 2013 by hgpu

Highly Scalable Multiplication for Distributed Sparse Multivariate Polynomials on Many-core Systems

Mickael Gastineau, Jacques Laskar

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Tags: Algorithms, Computer science, CUDA, Instrumentation and Methods for Astrophysics, Mathematical Software, nVidia, Symbolic Computation, Tesla S2050

April 8, 2013 by hgpu

GRay: a Massively Parallel GPU-Based Code for Ray Tracing in Relativistic Spacetimes

Chi-Kwan Chan, Dimitrios Psaltis, Feryal Ozel

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Tags: Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GT 650 M, Package, Raytracing, Tesla M2090

March 23, 2013 by hgpu

Single-Pass GPU-Raycasting for Structured Adaptive Mesh Refinement Data

Ralf Kaehler, Tom Abel

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Tags: Algorithms, Astrophysics, Cosmology, Differential equations, GLSL, Instrumentation and Methods for Astrophysics, KD-tree, nVidia, nVidia GeForce GTX 680, OpenGL, Rendering, Visualization

December 18, 2012 by hgpu

Tera-scale Astronomical Data Analysis and Visualization

A. H. Hassan, C. J. Fluke, D. G. Barnes, V. A. Kilborn

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Tags: Algorithms, Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, nVidia, Rendering, Tesla C2070, Tesla C2090, Visualization

November 22, 2012 by hgpu

Accelerating convolutions on the sphere with hybrid GPU/CPU kernel splitting

P.M. Sutter, Benjamin D. Wandelt, Franz Elsner

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Tags: Astrophysics, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GTX 480

November 18, 2012 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_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

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high performance computing on graphics processing units: hgpu.org

GPU Accelerated Particle Visualization with Splotch

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

The Astrophysical Multipurpose Software Environment

A comparison of period finding algorithms

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

Data-rich astronomy: mining synoptic sky surveys

A Performance Comparison of Different Graphics Processing Units Running Direct N-Body Simulations

Highly Scalable Multiplication for Distributed Sparse Multivariate Polynomials on Many-core Systems

GRay: a Massively Parallel GPU-Based Code for Ray Tracing in Relativistic Spacetimes

Single-Pass GPU-Raycasting for Structured Adaptive Mesh Refinement Data

Tera-scale Astronomical Data Analysis and Visualization

Accelerating convolutions on the sphere with hybrid GPU/CPU kernel splitting

Recent source codes

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

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

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

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

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

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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