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20032026
most citedFAIR for AI: An interdisciplinary and international community building perspective

92 citations · 685 across the 84 of their papers we have counts for

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Showing 2015 · cs.DCShow all

5 papers · 2 filters

cs.DC2015★ 1 cited

Using Pilot Systems to Execute Many Task Workloads on Supercomputers

Andre Merzky, Matteo Turilli, Manuel Maldonado +2

High performance computing systems have historically been designed to support applications comprised of mostly monolithic, single-job workloads. Pilot systems decouple workload spe…

cs.DC2015

A Comprehensive Perspective on Pilot-Job Systems

Matteo Turilli, Mark Santcroos, Shantenu Jha

Pilot-Job systems play an important role in supporting distributed scientific computing. They are used to consume more than 700 million CPU hours a year by the Open Science Grid co…

cs.DC2015

Synapse: Synthetic Application Profiler and Emulator

Andre Merzky, Shantenu Jha

We introduce Synapse motivated by the needs to estimate and emulate workload execution characteristics on high-performance and distributed heterogeneous resources. Synapse has a pl…

cs.DC2015

Integrating Abstractions to Enhance the Execution of Distributed Applications

Matteo Turilli, Feng Liu, Zhao Zhang +5

One of the factors that limits the scale, performance, and sophistication of distributed applications is the difficulty of concurrently executing them on multiple distributed compu…

cs.DC2015★ 3 cited

Pilot-Abstraction: A Valid Abstraction for Data-Intensive Applications on HPC, Hadoop and Cloud Infrastructures?

Andre Luckow, Pradeep Mantha, Shantenu Jha

HPC environments have traditionally been designed to meet the compute demand of scientific applications and data has only been a second order concern. With science moving toward da…