Shantenu Jha

Orcid: 0000-0002-5040-026X

Affiliations:
  • Rutgers University, Piscataway, NJ, USA


According to our database1, Shantenu Jha authored at least 179 papers between 2004 and 2024.

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Bibliography

2024
Frontiers in Scientific Workflows: Pervasive Integration With High-Performance Computing.
Computer, August, 2024

Quantum-centric supercomputing for materials science: A perspective on challenges and future directions.
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Future Gener. Comput. Syst., 2024

Pathway-based analyses of gene expression profiles at low doses of ionizing radiation.
Frontiers Bioinform., 2024

Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows.
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CoRR, 2024

ExaWorks Software Development Kit: A Robust and Scalable Collection of Interoperable Workflow Technologies.
CoRR, 2024

Feasibility Study on Active Learning of Smart Surrogates for Scientific Simulations.
CoRR, 2024

Scaling on Frontier: Uncertainty Quantification Workflow Applications using ExaWorks to Enable Full System Utilization.
CoRR, 2024

AI-coupled HPC Workflow Applications, Middleware and Performance.
CoRR, 2024

Quantum Mini-Apps: A Framework for Developing and Benchmarking Quantum-HPC Applications.
CoRR, 2024

Design and Implementation of an Analysis Pipeline for Heterogeneous Data.
CoRR, 2024

Enabling Performance Observability for Heterogeneous HPC Workflows with SOMA.
Proceedings of the 53rd International Conference on Parallel Processing, 2024

Hydra: Brokering Cloud and HPC Resources to Support the Execution of Heterogeneous Workloads at Scale.
Proceedings of the 14th Workshop on AI and Scientific Computing at Scale using Flexible Computing Infrastructures, 2024

Workflow Mini-Apps: Portable, Scalable, Tunable & Faithful Representations of Scientific Workflows.
Proceedings of the 24th IEEE International Symposium on Cluster, 2024

2023
Optimal decision-making in high-throughput virtual screening pipelines.
Patterns, November, 2023

Adaptive Ensemble Refinement of Protein Structures in High Resolution Electron Microscopy Density Maps with Radical Augmented Molecular Dynamics Flexible Fitting.
J. Chem. Inf. Model., September, 2023

Data for manuscript "Adaptive Ensemble Refinement of Protein Structures in High Resolution Electron Microscopy Density Maps with Radical Augmented Molecular Dynamics Flexible Fitting".
Dataset, March, 2023

#COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol.
Int. J. High Perform. Comput. Appl., 2023

Workflows Community Summit 2022: A Roadmap Revolution.
CoRR, 2023


A Conceptual Architecture for a Quantum-HPC Middleware.
Proceedings of the IEEE International Conference on Quantum Software, 2023

Asynchronous Execution of Heterogeneous Tasks in ML-Driven HPC Workflows.
Proceedings of the Job Scheduling Strategies for Parallel Processing - 26th Workshop, 2023

A Parallel Machine Learning Workflow for Neutron Scattering Data Analysis.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

Building the I (Interoperability) of FAIR for Performance Reproducibility of Large-Scale Composable Workflows in RECUP.
Proceedings of the 19th IEEE International Conference on e-Science, 2023

PSI/J: A Portable Interface for Submitting, Monitoring, and Managing Jobs.
Proceedings of the 19th IEEE International Conference on e-Science, 2023

2022
Design and Performance Characterization of RADICAL-Pilot on Leadership-Class Platforms.
IEEE Trans. Parallel Distributed Syst., 2022

High-Throughput Virtual Screening and Validation of a SARS-CoV-2 Main Protease Noncovalent Inhibitor.
J. Chem. Inf. Model., 2022

FAIR for AI: An interdisciplinary, international, inclusive, and diverse community building perspective.
CoRR, 2022

AI-coupled HPC Workflows.
CoRR, 2022

Asynchronous Execution of Heterogeneous Tasks in AI-coupled HPC Workflows.
CoRR, 2022

Workflows Community Summit: Tightening the Integration between Computing Facilities and Scientific Workflows.
CoRR, 2022

A Scalable Solution for Running Ensemble Simulations for Photovoltaic Energy.
CoRR, 2022

RADICAL-Pilot and Parsl: Executing Heterogeneous Workflows on HPC Platforms.
Proceedings of the IEEE/ACM Workshop on Workflows in Support of Large-Scale Science, 2022

RADICAL-Pilot and PMIx/PRRTE: Executing Heterogeneous Workloads at Large Scale on Partitioned HPC Resources.
Proceedings of the Job Scheduling Strategies for Parallel Processing, 2022

Coupling streaming AI and HPC ensembles to achieve 100-1000× faster biomolecular simulations.
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

The Ghost of Performance Reproducibility Past.
Proceedings of the 18th IEEE International Conference on e-Science, 2022

RAPTOR: Ravenous Throughput Computing.
Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

2021
AI-driven multiscale simulations illuminate mechanisms of SARS-CoV-2 spike dynamics.
Int. J. High Perform. Comput. Appl., 2021

Co-design Center for Exascale Machine Learning Technologies (ExaLearn).
Int. J. High Perform. Comput. Appl., 2021

Comparing workflow application designs for high resolution satellite image analysis.
Future Gener. Comput. Syst., 2021

ExaWorks: Workflows for Exascale.
CoRR, 2021

Protein-Ligand Docking Surrogate Models: A SARS-CoV-2 Benchmark for Deep Learning Accelerated Virtual Screening.
CoRR, 2021

Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development.
CoRR, 2021

RADICAL-Pilot and Parsl: Executing Heterogeneous Workflows on HPC Platforms.
CoRR, 2021

Achieving 100X faster simulations of complex biological phenomena by coupling ML to HPC ensembles.
CoRR, 2021

Workflows Community Summit: Bringing the Scientific Workflows Community Together.
CoRR, 2021

Pandemic Drugs at Pandemic Speed: Accelerating COVID-19 Drug Discovery with Hybrid Machine Learning- and Physics-based Simulations on High Performance Computers.
CoRR, 2021


ExaWorks: Workflows for Exascale.
Proceedings of the 2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS), 2021

Scalable HPC & AI infrastructure for COVID-19 therapeutics.
Proceedings of the PASC '21: Platform for Advanced Scientific Computing Conference, 2021

Pilot-Edge: Distributed Resource Management Along the Edge-to-Cloud Continuum.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021


Exploring Task Placement for Edge-to-Cloud Applications using Emulation.
Proceedings of the 5th IEEE International Conference on Fog and Edge Computing, 2021

Dynamic and Adaptive Monitoring and Analysis for Many-task Ensemble Computing.
Proceedings of the IEEE International Conference on Cluster Computing, 2021

2020
Adaptive Ensemble Biomolecular Applications at Scale.
SN Comput. Sci., 2020

Scalable HPC and AI Infrastructure for COVID-19 Therapeutics.
CoRR, 2020

Targeting SARS-CoV-2 with AI- and HPC-enabled Lead Generation: A First Data Release.
CoRR, 2020

Parallel performance of molecular dynamics trajectory analysis.
Concurr. Comput. Pract. Exp., 2020

ICEBERG: Imagery Cyber-infrastructure and Extensible Building blocks to Enhance Research in the Geosciences. (A Research Programmer's Perspective).
Proceedings of the PEARC '20: Practice and Experience in Advanced Research Computing, 2020

Methods and Experiences for Developing Abstractions for Data-intensive, Scientific Applications.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

2019
Supporting High-Performance and High-Throughput Computing for Experimental Science.
Comput. Softw. Big Sci., December, 2019

Computational reproducibility of scientific workflows at extreme scales.
Int. J. High Perform. Comput. Appl., 2019

Middleware Building Blocks for Workflow Systems.
Comput. Sci. Eng., 2019

Incorporating Scientific Workflows in Computing Research Processes.
Comput. Sci. Eng., 2019

MolSSI and BioExcel Workflow Workshop 2018 Report.
CoRR, 2019

RADICAL-Cybertools: Middleware Building Blocks for Scalable Science.
CoRR, 2019

Characterizing the Performance of Executing Many-tasks on Summit.
Proceedings of the IEEE/ACM Third Annual Workshop on Emerging Parallel and Distributed Runtime Systems and Middleware, 2019

DeepDriveMD: Deep-Learning Driven Adaptive Molecular Simulations for Protein Folding.
Proceedings of the Third IEEE/ACM Workshop on Deep Learning on Supercomputers, 2019

Deep Generative Model Driven Protein Folding Simulations.
Proceedings of the Parallel Computing: Technology Trends, 2019

Learning Everywhere: Pervasive Machine Learning for Effective High-Performance Computation.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

Workflow Design Analysis for High Resolution Satellite Image Analysis.
Proceedings of the 15th International Conference on eScience, 2019

Understanding ML Driven HPC: Applications and Infrastructure.
Proceedings of the 15th International Conference on eScience, 2019

Learning Everywhere: A Taxonomy for the Integration of Machine Learning and Simulations.
Proceedings of the 15th International Conference on eScience, 2019

Performance Characterization and Modeling of Serverless and HPC Streaming Applications.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Synapse: Synthetic application profiler and emulator.
J. Comput. Sci., 2018

A Comprehensive Perspective on Pilot-Job Systems.
ACM Comput. Surv., 2018

Use Cases of Computational Reproducibility for Scientific Workflows at Exascale.
CoRR, 2018

Implementing Adaptive Ensemble Biomolecular Applications at Scale.
CoRR, 2018

Task-parallel Analysis of Molecular Dynamics Trajectories.
CoRR, 2018

Towards General Distributed Resource Selection.
CoRR, 2018

Design and Performance Characterization of RADICAL-Pilot on Titan.
CoRR, 2018

Rapid, concurrent and adaptive extreme scale binding free energy calculation.
CoRR, 2018

A parallel unidirectional coupled DEM-PBM model for the efficient simulation of computationally intensive particulate process systems.
Comput. Chem. Eng., 2018

High-throughput binding affinity calculations at extreme scales.
BMC Bioinform., 2018

Using Pilot Systems to Execute Many Task Workloads on Supercomputers.
Proceedings of the Job Scheduling Strategies for Parallel Processing, 2018

Harnessing the Power of Many: Extensible Toolkit for Scalable Ensemble Applications.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

Task-parallel Analysis of Molecular Dynamics Trajectories.
Proceedings of the 47th International Conference on Parallel Processing, 2018

Modeling Impact of Execution Strategies on Resource Utilization.
Proceedings of the 14th IEEE International Conference on e-Science, 2018

Concurrent and Adaptive Extreme Scale Binding Free Energy Calculations.
Proceedings of the 14th IEEE International Conference on e-Science, 2018

Pilot-Streaming: A Stream Processing Framework for High-Performance Computing.
Proceedings of the 14th IEEE International Conference on e-Science, 2018

Towards Exascale Computing for High Energy Physics: The ATLAS Experience at ORNL.
Proceedings of the 14th IEEE International Conference on e-Science, 2018

Building Blocks for Workflow System Middleware.
Proceedings of the 18th IEEE/ACM International Symposium on Cluster, 2018

Enabling Trade-offs Between Accuracy and Computational Cost: Adaptive Algorithms to Reduce Time to Clinical Insight.
Proceedings of the 18th IEEE/ACM International Symposium on Cluster, 2018

2017
Learning Neural Markers of Schizophrenia Disorder Using Recurrent Neural Networks.
CoRR, 2017

Harnessing the Power of Many: Extensible Toolkit for Scalable Ensemble Applications.
CoRR, 2017

Toward Common Components for Open Workflow Systems.
CoRR, 2017

Converging High-Throughput and High-Performance Computing: A Case Study.
CoRR, 2017

On the complexities of utilizing large-scale lightpath-connected distributed cyberinfrastructure.
Concurr. Comput. Pract. Exp., 2017

Introducing distributed dynamic data-intensive (D3) science: Understanding applications and infrastructure.
Concurr. Comput. Pract. Exp., 2017

Parallel Analysis in MDAnalysis using the Dask Parallel Computing Library.
Proceedings of the 16th Python in Science Conference 2017, 2017

Hacking at the Divide Between Polar Science and HPC: Using Hackathons as Training Tools.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

Evaluating Distributed Execution of Workloads.
Proceedings of the 13th IEEE International Conference on e-Science, 2017

High-Throughput Computing on High-Performance Platforms: A Case Study.
Proceedings of the 13th IEEE International Conference on e-Science, 2017

Conceptualizing a Computing Platform for Science Beyond 2020: To Cloudify HPC, or HPCify Clouds?
Proceedings of the 2017 IEEE 10th International Conference on Cloud Computing (CLOUD), 2017

2016
Application Skeleton: Generating Synthetic Applications for Infrastructure Research.
J. Open Source Softw., 2016

Application skeletons: Construction and use in eScience.
Future Gener. Comput. Syst., 2016

Analysis of Distributed Execution of Workloads.
CoRR, 2016

A Building Blocks Approach towards Domain Specific Workflow Systems?
CoRR, 2016

EnsembleMD Toolkit: Scalable and Flexible Execution of Ensembles of Molecular Simulations.
CoRR, 2016

Integrating Abstractions to Enhance the Execution of Distributed Applications.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016

A Scalable Pipeline for Transcriptome Profiling Tasks with On-Demand Computing Clouds.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

Synapse: Synthetic Application Profiler and Emulator.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

Hadoop on HPC: Integrating Hadoop and Pilot-Based Dynamic Resource Management.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

RepEx: A Flexible Framework for Scalable Replica Exchange Molecular Dynamics Simulations.
Proceedings of the 45th International Conference on Parallel Processing, 2016

Ensemble Toolkit: Scalable and Flexible Execution of Ensembles of Tasks.
Proceedings of the 45th International Conference on Parallel Processing, 2016

ExTASY: Scalable and flexible coupling of MD simulations and advanced sampling techniques.
Proceedings of the 12th IEEE International Conference on e-Science, 2016

2015
Pilot-Data: An abstraction for distributed data.
J. Parallel Distributed Comput., 2015

A Comprehensive Perspective on the Pilot-Job Abstraction.
CoRR, 2015

RADICAL-Pilot: Scalable Execution of Heterogeneous and Dynamic Workloads on Supercomputers.
CoRR, 2015

Synapse: Bridging the Gap Towards Predictable Workload Placement.
CoRR, 2015

Pilot-Abstraction: A Valid Abstraction for Data-Intensive Applications on HPC, Hadoop and Cloud Infrastructures?
CoRR, 2015

Big Data, Simulations and HPC Convergence.
Proceedings of the Big Data Benchmarking, 2015

HPC-ABDS High Performance Computing Enhanced Apache Big Data Stack.
Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015

2014
Comparative analysis of nucleotide translocation through protein nanopores using steered molecular dynamics and an adaptive biasing force.
J. Comput. Chem., 2014

Advancing next-generation sequencing data analytics with scalable distributed infrastructure.
Concurr. Comput. Pract. Exp., 2014

Gateways to high-perfomance and distributed computing resources for global health challenges.
Proceedings of the 2014 IEEE Canada International Humanitarian Technology Conference, 2014

Towards a Comprehensive Set of Big Data Benchmarks.
Proceedings of the Big Data and High Performance Computing, 2014

A Tale of Two Data-Intensive Paradigms: Applications, Abstractions, and Architectures.
Proceedings of the 2014 IEEE International Congress on Big Data, Anchorage, AK, USA, June 27, 2014

2013
The Impact of a Ligand Binding on Strand Migration in the SAM-I Riboswitch.
PLoS Comput. Biol., 2013

Pilot-Data: An Abstraction for Distributed Data
CoRR, 2013

Distributed computing practice for large-scale science and engineering applications.
Concurr. Comput. Pract. Exp., 2013

Scalable online comparative genomics of mononucleosomes: a BigJob.
Proceedings of the Extreme Science and Engineering Discovery Environment: Gateway to Discovery, 2013

A framework for flexible and scalable replica-exchange on production distributed CI.
Proceedings of the Extreme Science and Engineering Discovery Environment: Gateway to Discovery, 2013

Exploring Dynamic Enactment of Scientific Workflows Using Pilot-Abstractions.
Proceedings of the 13th IEEE/ACM International Symposium on Cluster, 2013

2012
Distributed Application Runtime Environment (DARE): A Standards-based Middleware Framework for Science-Gateways.
J. Grid Comput., 2012

Survey and Analysis of Production Distributed Computing Infrastructures
CoRR, 2012

The anatomy of successful ECSS projects: lessons of supporting high-throughput high-performance ensembles on XSEDE.
Proceedings of the 1st Conference of the Extreme Science and Engineering Discovery Environment, 2012

Running many molecular dynamics simulations on many supercomputers.
Proceedings of the 1st Conference of the Extreme Science and Engineering Discovery Environment, 2012

FutureGrid education: using case studies to develop a curriculum for communicating parallel and distributed computing concepts.
Proceedings of the 1st Conference of the Extreme Science and Engineering Discovery Environment, 2012

Towards a common model for pilot-jobs.
Proceedings of the 21st International Symposium on High-Performance Parallel and Distributed Computing, 2012

Pilot abstractions for compute, data, and network.
Proceedings of the 8th IEEE International Conference on E-Science, 2012

P∗: A model of pilot-abstractions.
Proceedings of the 8th IEEE International Conference on E-Science, 2012

2011
Autonomic management of application workflows on hybrid computing infrastructure.
Sci. Program., 2011

A practical and comprehensive graduate course preparing students for research involving scientific computing.
Proceedings of the International Conference on Computational Science, 2011

Understanding application-level interoperability: Scaling-out MapReduce over high-performance grids and clouds.
Future Gener. Comput. Syst., 2011

Energy landscape analysis for regulatory RNA finding using scalable distributed cyberinfrastructure.
Concurr. Comput. Pract. Exp., 2011

Building gateways for life-science applications using the dynamic application runtime environment (DARE) framework.
Proceedings of the 2011 TeraGrid Conference - Extreme Digital Discovery, 2011

Towards high-throughput, high-performance computational estimation of binding affinities for patient specific HIV-1 protease sequences.
Proceedings of the 2011 TeraGrid Conference - Extreme Digital Discovery, 2011

Using the TeraGrid to teach scientific computing.
Proceedings of the 2011 TeraGrid Conference - Extreme Digital Discovery, 2011

2010
Large scale computational science on federated international grids: The role of switched optical networks.
Future Gener. Comput. Syst., 2010

Global-scale distributed I/O with ParaMEDIC.
Concurr. Comput. Pract. Exp., 2010

Modelling data-driven CO<sub>2</sub> sequestration using distributed HPC cyberinfrastructure.
Proceedings of the 2010 TeraGrid Conference, 2010

GRENDL: grid enabled distribution and control for Laptop Orchestras.
Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2010

Exploring application and infrastructure adaptation on hybrid grid-cloud infrastructure.
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing, 2010

Exploring the RNA folding energy landscape using scalable distributed cyberinfrastructure.
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing, 2010

Abstractions for Loosely-Coupled and Ensemble-Based Simulations on Azure.
Proceedings of the Cloud Computing, Second International Conference, 2010

Exploring the Performance Fluctuations of HPC Workloads on Clouds.
Proceedings of the Cloud Computing, Second International Conference, 2010

SAGA BigJob: An Extensible and Interoperable Pilot-Job Abstraction for Distributed Applications and Systems.
Proceedings of the 10th IEEE/ACM International Conference on Cluster, 2010

Efficient Runtime Environment for Coupled Multi-physics Simulations: Dynamic Resource Allocation and Load-Balancing.
Proceedings of the 10th IEEE/ACM International Conference on Cluster, 2010

2009
Using clouds to provide grids with higher levels of abstraction and explicit support for usage modes.
Concurr. Comput. Pract. Exp., 2009

Self-adaptive Architectures for Autonomic Computational Science.
Proceedings of the Self-Organizing Architectures, First International Workshop, 2009

Developing Scientific Applications with Loosely-Coupled Sub-tasks.
Proceedings of the Computational Science, 2009

Critical perspectives on large-scale distributed applications and production Grids.
Proceedings of the 2009 10th IEEE/ACM International Conference on Grid Computing, 2009

Application Level Interoperability between Clouds and Grids.
Proceedings of the Workshops at the Grid and Pervasive Computing Conference, 2009

Introduction.
Proceedings of the Euro-Par 2009 Parallel Processing, 2009

A Fresh Perspective on Developing and Executing DAG-Based Distributed Applications: A Case-Study of SAGA-Based Montage.
Proceedings of the Fifth International Conference on e-Science, 2009

An Autonomic Approach to Integrated HPC Grid and Cloud Usage.
Proceedings of the Fifth International Conference on e-Science, 2009

An innovative application execution toolkit for multicluster grids.
Proceedings of the 2009 IEEE International Conference on Cluster Computing, August 31, 2009

Programming Abstractions for Data Intensive Computing on Clouds and Grids.
Proceedings of the 9th IEEE/ACM International Symposium on Cluster Computing and the Grid, 2009

2008
Design and performance analysis of a distributed HPC molecular dynamics code on distributed resources.
Proceedings of the 15th ACM Mardi Gras conference: From lightweight mash-ups to lambda grids: Understanding the spectrum of distributed computing requirements, applications, tools, infrastructures, interoperability, and the incremental adoption of key capabilities, Baton Rouge, Louisiana, USA, January 29, 2008

Abstractions for Distributed Systems (DPA 2008).
Proceedings of the Euro-Par 2008 Workshops, 2008

Distributed Replica-Exchange Simulations on Production Environments Using SAGA and Migol.
Proceedings of the Fourth International Conference on e-Science, 2008

2007
NEKTAR, SPICE and Vortonics: using federated grids for large scale scientific applications.
Clust. Comput., 2007

Grid Interoperability at the Application Level Using SAGA.
Proceedings of the Third International Conference on e-Science and Grid Computing, 2007

Design and Implementation of Network Performance Aware Applications Using SAGA and Cactus.
Proceedings of the Third International Conference on e-Science and Grid Computing, 2007

2006
Using Lambda Networks to Enhance Performance of Interactive Large Simulations.
Proceedings of the Second International Conference on e-Science and Grid Technologies (e-Science 2006), 2006

2005
Force field validation for nucleic acid simulations: Comparing energies and dynamics of a DNA dodecamer.
J. Comput. Chem., 2005

Scientific grid computing: the first generation.
Comput. Sci. Eng., 2005

SPICE: Simulated Pore Interactive Computing Environment.
Proceedings of the ACM/IEEE SC2005 Conference on High Performance Networking and Computing, 2005

2004
The Current State of the Grid.
Comput. Sci. Eng., 2004


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