Title
Large-scale compute-intensive analysis via a combined in-situ and co-scheduling workflow approach
Abstract
Large-scale simulations can produce hundreds of terabytes to petabytes of data, complicating and limiting the efficiency of workflows. Traditionally, outputs are stored on the file system and analyzed in post-processing. With the rapidly increasing size and complexity of simulations, this approach faces an uncertain future. Trending techniques consist of performing the analysis in-situ, utilizing the same resources as the simulation, and/or off-loading subsets of the data to a compute-intensive analysis system. We introduce an analysis framework developed for HACC, a cosmological N-body code, that uses both in-situ and co-scheduling approaches for handling petabyte-scale outputs. We compare different analysis set-ups ranging from purely off-line, to purely in-situ to in-situ/co-scheduling. The analysis routines are implemented using the PISTON/VTK-m framework, allowing a single implementation of an algorithm that simultaneously targets a variety of GPU, multi-core, and many-core architectures.
Year
DOI
Venue
2015
10.1145/2807591.2807663
International Conference for High Performance Computing, Networking, Storage, and Analysis
Keywords
Field
DocType
many-core architectures,multi-core architectures,GPU,PISTON/VTK-m framework,petabyte-scale output handling,cosmological N-body code,HACC,data off-loading subsets,in-situ analysis,post-processing analysis,file system storage,large-scale simulations,co-scheduling workflow,in-situ workflow,large-scale compute-intensive analysis
Data modeling,File system,Algorithm design,GPU cluster,Terabyte,Computer science,Parallel computing,N-body simulation,Workflow,Big data,Distributed computing
Conference
ISBN
Citations 
PageRank 
978-1-5090-0273-3
7
0.45
References 
Authors
22
12
Name
Order
Citations
PageRank
Christopher Sewell116414.96
Katrin Heitmann214414.49
Hal Finkel311418.43
George Zagaris4203.54
Suzanne Parete-Koon5201.73
Patricia K. Fasel6466.46
Adrian Pope7674.45
Nicholas Frontiere8614.13
Li-ta Lo9757.03
O. E. Bronson Messer10253.50
Salman Habib119815.24
James Ahrens1223335.07