activity
20122026
most citedQuantum-centric Supercomputing for Materials Science: A Perspective on Challenges and Future Directions

85 citations · 321 across the 25 of their papers we have counts for

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Showing cs.DCShow all

13 papers · 1 filter

cs.DC2023

Workflows Community Summit 2022: A Roadmap Revolution

Rafael Ferreira da Silva, Rosa M. Badia, Venkat Bala +102

Scientific workflows have become integral tools in broad scientific computing use cases. Science discovery is increasingly dependent on workflows to orchestrate large and complex s…

cs.DC2021

Pilot-Edge: Distributed Resource Management Along the Edge-to-Cloud Continuum

Andre Luckow, Kartik Rattan, Shantenu Jha

Many science and industry IoT applications necessitate data processing across the edge-to-cloud continuum to meet performance, security, cost, and privacy requirements. However, di…

cs.DC2021

Exploring Task Placement for Edge-to-Cloud Applications using Emulation

Andre Luckow, Kartik Rattan, Shantenu Jha

A vast and growing number of IoT applications connect physical devices, such as scientific instruments, technical equipment, machines, and cameras, across heterogenous infrastructu…

cs.DC2020

Methods and Experiences for Developing Abstractions for Data-intensive, Scientific Applications

Andre Luckow, Shantenu Jha

Developing software for scientific applications that require the integration of diverse types of computing, instruments, and data present challenges that are distinct from commerci…

cs.DC2019

Performance Characterization and Modeling of Serverless and HPC Streaming Applications

Andre Luckow, Shantenu Jha

Experiment-in-the-Loop Computing (EILC) requires support for numerous types of processing and the management of heterogeneous infrastructure over a dynamic range of scales: from th…

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…