activity
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

collaborators
Showing 2018 · cs.DCShow all

8 papers · 2 filters

cs.DC2018★ 12 cited

Supporting High-Performance and High-Throughput Computing for Experimental Science

E. A. Huerta, Roland Haas, Shantenu Jha +2

The advent of experimental science facilities-instruments and observatories, such as the Large Hadron Collider, the Laser Interferometer Gravitational Wave Observatory, and the upc…

cs.DC2018★ 5 cited

Synapse: Synthetic Application Profiler and Emulator

Andre Merzky, Ming Tai Ha, Matteo Turilli +1

Motivated by the need to emulate workload execution characteristics on high-performance and distributed heterogeneous resources, we introduce Synapse. Synapse is used as a proxy ap…

cs.DC2018

Use Cases of Computational Reproducibility for Scientific Workflows at Exascale

Line Pouchard, Sterling Baldwin, Todd Elsethagen +6

We propose an approach for improved reproducibility that includes capturing and relating provenance characteristics and performance metrics, in a hybrid queriable system, the ProvE…

cs.DC2018★ 1 cited

Towards General Distributed Resource Selection

Ming Tai Ha, Matteo Turilli, Andre Merzky +1

The advantages of distributing workloads and utilizing multiple distributed resources are now well established. The type and degree of heterogeneity of distributed resources is inc…

cs.DC2018★ 4 cited

Design and Performance Characterization of RADICAL-Pilot on Titan

Andre Merzky, Matteo Turilli, Manuel Maldonado +1

Many extreme scale scientific applications have workloads comprised of a large number of individual high-performance tasks. The Pilot abstraction decouples workload specification,…

cs.DC2018★ 5 cited

Pilot-Streaming: A Stream Processing Framework for High-Performance Computing

Andre Luckow, George Chantzialexiou, Shantenu Jha

An increasing number of scientific applications rely on stream processing for generating timely insights from data feeds of scientific instruments, simulations, and Internet-of-Thi…