5 citations · 7 across the 7 of their papers we have counts for
8 papers
Scalable Agentic Reasoning for Designing Biologics Targeting Intrinsically Disordered Proteins
Matthew Sinclair, Moeen Meigooni, Archit Vasan +14
Intrinsically disordered proteins (IDPs) represent crucial therapeutic targets due to their significant role in disease -- approximately 80\% of cancer-related proteins contain lon…
Topology-Aware Knowledge Propagation in Decentralized Learning
Mansi Sakarvadia, Nathaniel Hudson, Tian Li +2
Decentralized learning enables collaborative training of models across naturally distributed data without centralized coordination or maintenance of a global model. Instead, device…
Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows
Rafael Ferreira da Silva, Deborah Bard, Kyle Chard +108
The Workflows Community Summit gathered 111 participants from 18 countries to discuss emerging trends and challenges in scientific workflows, focusing on six key areas: time-sensit…
Automated, Reliable, and Efficient Continental-Scale Replication of 7.3 Petabytes of Climate Simulation Data: A Case Study
Lukasz Lacinski, Lee Liming, Steven Turoscy +7
We report on our experiences replicating 7.3 petabytes (PB) of Earth System Grid Federation (ESGF) climate simulation data from Lawrence Livermore National Laboratory (LLNL) in Cal…
FastqZip: An Improved Reference-Based Genome Sequence Lossy Compression Framework
Yuanjian Liu, Huihao Luo, Zhijun Han +6
Storing and archiving data produced by next-generation sequencing (NGS) is a huge burden for research institutions. Reference-based compression algorithms are effective in dealing…
UniFaaS: Programming across Distributed Cyberinfrastructure with Federated Function Serving
Yifei Li, Ryan Chard, Yadu Babuji +3
Modern scientific applications are increasingly decomposable into individual functions that may be deployed across distributed and diverse cyberinfrastructure such as supercomputer…
Steering a Fleet: Adaptation for Large-Scale, Workflow-Based Experiments
Jim Pruyne, Valerie Hayot-Sasson, Weijian Zheng +5
Experimental science is increasingly driven by instruments that produce vast volumes of data and thus a need to manage, compute, describe, and index this data. High performance and…
Combining Language and Graph Models for Semi-structured Information Extraction on the Web
Zhi Hong, Kyle Chard, Ian Foster
Relation extraction is an efficient way of mining the extraordinary wealth of human knowledge on the Web. Existing methods rely on domain-specific training data or produce noisy ou…