papers

Publications (7)

cs.DC2015

Standing Together for Reproducibility in Large-Scale Computing: Report on reproducibility@XSEDE

Doug James, Nancy Wilkins-Diehr, Victoria Stodden +52

This is the final report on reproducibility@xsede, a one-day workshop held in conjunction with XSEDE14, the annual conference of the Extreme Science and Engineering Discovery Envir…

gr-qc2007

Are moving punctures equivalent to moving black holes?

Jonathan Thornburg, Peter Diener, Denis Pollney +4

When simulating the inspiral and coalescence of a binary black-hole system, special care needs to be taken in handling the singularities. Two main techniques are used in numerical-…

gr-qc1995

Head-on collision of two black holes: comparison of different approaches

Peter Anninos, Richard H. Price, Jorge Pullin +2

A benchmark problem for numerical relativity has been the head-on collision of two black holes starting from the ``Misner initial data,'' a closed form momentarily stationary solut…

gr-qc2019

Enabling real-time multi-messenger astrophysics discoveries with deep learning

E. A. Huerta, Gabrielle Allen, Igor Andreoni +57

Multi-messenger astrophysics is a fast-growing, interdisciplinary field that combines data, which vary in volume and speed of data processing, from many different instruments that…

gr-qc1997

First order hyperbolic formalism for Numerical Relativity

Carles Bona, Joan Masso, Ed Seidel +1

The causal structure of Einstein's evolution equations is considered. We show that in general they can be written as a first order system of balance laws for any choice of slicing…

astro-ph.IM2019

Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era

Gabrielle Allen, Igor Andreoni, Etienne Bachelet +45

This report provides an overview of recent work that harnesses the Big Data Revolution and Large Scale Computing to address grand computational challenges in Multi-Messenger Astrop…

cs.DC2001

The Cactus Worm: Experiments with Dynamic Resource Discovery and Allocation in a Grid Environment

Gabrielle Allen, David Angulo, Ian Foster +5

The ability to harness heterogeneous, dynamically available "Grid" resources is attractive to typically resource-starved computational scientists and engineers, as in principle it…