48 citations · 69 across the 4 of their papers we have counts for
8 papers
DeepDriveMD: Deep-Learning Driven Adaptive Molecular Simulations for Protein Folding
Hyungro Lee, Heng Ma, Matteo Turilli +3
Simulations of biological macromolecules play an important role in understanding the physical basis of a number of complex processes such as protein folding. Even with increasing c…
Characterizing the Performance of Executing Many-tasks on Summit
Matteo Turilli, Andre Merzky, Thomas Naughton +2
Many scientific workloads are comprised of many tasks, where each task is an independent simulation or analysis of data. The execution of millions of tasks on heterogeneous HPC pla…
Deep Generative Model Driven Protein Folding Simulation
Heng Ma, Debsindhu Bhowmik, Hyungro Lee +4
Significant progress in computer hardware and software have enabled molecular dynamics (MD) simulations to model complex biological phenomena such as protein folding. However, enab…
Workflow Design Analysis for High Resolution Satellite Image Analysis
Ioannis Paraskevakos, Matteo Turilli, Bento Collares Gonçalves +2
Ecological sciences are using imagery from a variety of sources to monitor and survey populations and ecosystems. Very High Resolution (VHR) satellite imagery provide an effective…
RADICAL-Cybertools: Middleware Building Blocks for Scalable Science
Vivek Balasubramanian, Shantenu Jha, Andre Merzky +1
RADICAL-Cybertools (RCT) are a set of software systems that serve as middleware to develop efficient and effective tools for scientific computing. Specifically, RCT enable executin…
Middleware Building Blocks for Workflow Systems
Matteo Turilli, Vivek Balasubramanian, Andre Merzky +2
This paper describes a building blocks approach to the design of scientific workflow systems. We discuss RADICAL-Cybertools as one implementation of the building blocks concept, sh…