Manish Parashar

ORCID

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 170

Top Venues

CoRR

IEEE Trans. Parallel Distributed Syst.

Comput. Sci. Eng.

Concurr. Comput. Pract. Exp.

Publications

Torsten Hoefler, Marcin Copik, Pete Beckman, Andrew Jones, Ian T. Foster, Manish Parashar, Daniel A. Reed, Matthias Troyer, Thomas C. Schulthess, Dan Ernst, Jack J. Dongarra
XaaS: Acceleration as a Service to Enable Productive High-Performance Cloud Computing. CoRR (2024)
Manish Parashar, Ilkay Altintas
Toward Democratizing Access to Science Data: Introducing the National Data Platform. e-Science (2023)
Matthieu Dorier, Zhe Wang, Srinivasan Ramesh, Utkarsh Ayachit, Shane Snyder, Robert B. Ross, Manish Parashar
in situ analysis for high-performance computing simulations. J. Parallel Distributed Comput. 177 (2023)
Marcus Adair, Ivan Rodero, Manish Parashar, Diego Melgar
Accelerating Data-Intensive Seismic Research Through Parallel Workflow Optimization and Federated Cyberinfrastructure. SC Workshops (2023)
Christian Sicari, Alessio Catalfamo, Lorenzo Carnevale, Antonino Galletta, Daniel Balouek-Thomert, Manish Parashar, Massimo Villari
TEMA: Event Driven Serverless Workflows Platform for Natural Disaster Management. ISCC (2023)
Zhe Wang, Matthieu Dorier, Pradeep Subedi, Philip E. Davis, Manish Parashar
visualization. Future Gener. Comput. Syst. 142 (2023)
Daniel Balouek-Thomert, Ismael Pérez, Sam D. Faulstich, Heather A. Holmes, Ilkay Altintas, Manish Parashar
Keynote Talk: Leveraging the Edge-Cloud Continuum to Manage the Impact of Wildfires on Air Quality. PerCom Workshops (2023)
Manish Parashar
Computing Everywhere, All at Once: Harnessing the Computing Continuum for Science. HPDC (2023)
Rafael Ferreira da Silva, Rosa M. Badia, Venkat Bala, Debbie Bard, Peer-Timo Bremer, Ian Buckley, Silvina Caíno-Lores, Kyle Chard, Carole A. Goble, Shantenu Jha, Daniel S. Katz, Daniel Laney, Manish Parashar, Frédéric Suter, Nick Tyler, Thomas D. Uram, Ilkay Altintas, Stefan Andersson, William Arndt, Juan Aznar, Jonathan Bader, Bartosz Balis, Chris Blanton, Kelly Rosa Braghetto, Aharon Brodutch, Paul Brunk, Henri Casanova, Alba Cervera-Lierta, Justin Chigu, Tainã Coleman, Nick Collier, Iacopo Colonnelli, Frederik Coppens, Michael R. Crusoe, Will Cunningham, Bruno de Paula Kinoshita, Paolo Di Tommaso, Charles M. Doutriaux, Matthew Downton, Wael R. Elwasif, Bjoern Enders, Chris Erdmann, Thomas Fahringer, Ludmilla Figueiredo, Rosa Filgueira, Martin Foltin, Anne Fouilloux, Luiz Gadelha, Andy Gallo, Artur García-Sáez, et al.
Workflows Community Summit 2022: A Roadmap Revolution. CoRR (2023)
Tevfik Kosar, Manish Parashar, Judy Fox, Christoph Hagleithner
Message from the Chairs. CLOUD (2023)
Nina Amla, Dilma Da Silva, Michael Littman, Manish Parashar
NSF on Chien's Grand Challenge for Sustainability. Commun. ACM 66 (5) (2023)
Manish Parashar
Editorial. IEEE Trans. Parallel Distributed Syst. 34 (2) (2023)
Bo Zhang, Philip E. Davis, Nicolas Morales, Zhao Zhang, Keita Teranishi, Manish Parashar
Optimizing Data Movement for GPU-Based In-Situ Workflow Using GPUDirect RDMA. Euro-Par (2023)
Manish Parashar, Tess DeBlanc-Knowles, Erwin P. Gianchandani, Lynne E. Parker
Strengthening and Democratizing Artificial Intelligence Research and Development. Computer 56 (11) (2023)
Manish Parashar
Advancing Reproducibility in Parallel and Distributed Systems Research. Computer 55 (5) (2022)
Manish Parashar
Democratizing Science Through Advanced Cyberinfrastructure. Computer 55 (9) (2022)
Bo Zhang, Pradeep Subedi, Philip E. Davis, Francesco Rizzi, Keita Teranishi, Manish Parashar
Assembling Portable In-Situ Workflow from Heterogeneous Components using Data Reorganization. CCGRID (2022)
Manish Parashar, Michael A. Heroux, Victoria Stodden
Research Reproducibility. Computer 55 (8) (2022)
Moustafa AbdelBaky, Manish Parashar
A General Performance and QoS Model for Distributed Software-Defined Environments. SERVICES (2022)
Yubo Qin, Ivan Rodero, Manish Parashar
Toward Democratizing Access to Facilities Data: A Framework for Intelligent Data Discovery and Delivery. Comput. Sci. Eng. 24 (3) (2022)
Charlie Catlett, Pete Beckman, Nicola J. Ferrier, Michael E. Papka, Rajesh Sankaran, Jeff Solin, Valerie E. Taylor, Douglas Pancoast, Daniel A. Reed, Manish Parashar, David Abramson
Hands-On Computer Science: The Array of Things Experimental Urban Instrument. Comput. Sci. Eng. 24 (1) (2022)
James M. Brase, Nancy Campbell, Barbara Helland, Thuc Hoang, Manish Parashar, Michael Rosenfield, James C. Sexton, John Towns, Kathryn Mohror, John M. Shalf
The COVID-19 High-Performance Computing Consortium. Comput. Sci. Eng. 24 (1) (2022)
Manish Parashar
Jack Dongarra: Catalyzing the Transformation of High-Performance Computing. Comput. Sci. Eng. 24 (4) (2022)
Manish Parashar
EiC Editorial - Advancing Reproducibility in Parallel and Distributed Systems Research. IEEE Trans. Parallel Distributed Syst. 33 (9) (2022)
Matthieu Dorier, Zhe Wang, Utkarsh Ayachit, Shane Snyder, Robert B. Ross, Manish Parashar
Colza: Enabling Elastic In Situ Visualization for High-performance Computing Simulations. IPDPS (2022)
Manish Parashar
Data-Management for Extreme Science: Experiences in Translational Computer Science Research. HPDC (2022)
Eric Suchyta, Scott Klasky, Norbert Podhorszki, Matthew Wolf, Abolaji D. Adesoji, Choong-Seock Chang, Jong Choi, Philip E. Davis, Julien Dominski, Stéphane Ethier, Ian T. Foster, Kai Germaschewski, Berk Geveci, Chris Harris, Kevin A. Huck, Qing Liu, Jeremy Logan, Kshitij Mehta, Gabriele Merlo, Shirley V. Moore, Todd S. Munson, Manish Parashar, David Pugmire, Mark S. Shephard, Cameron W. Smith, Pradeep Subedi, Lipeng Wan, Ruonan Wang, Shuangxi Zhang
The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science. Int. J. High Perform. Comput. Appl. 36 (1) (2022)
Manish Parashar, David Abramson
Accidental Translationists: A Perspective From the Trenches. Comput. Sci. Eng. 24 (4) (2022)
Muhammad K. Ali, Ashiq Anjum, Omer F. Rana, Ali Reza Zamani, Daniel Balouek-Thomert, Manish Parashar
RES: Real-Time Video Stream Analytics Using Edge Enhanced Clouds. IEEE Trans. Cloud Comput. 10 (2) (2022)
Zhe Wang, Matthieu Dorier, Manish Parashar
Research Perspectives Toward Autonomic Optimization of In Situ Analysis and Visualization. ISAV@SC (2022)
Manish Parashar, Amy Friedlander, Erwin P. Gianchandani, Margaret Martonosi
Transforming science through cyberinfrastructure. Commun. ACM 65 (8) (2022)
Moustafa AbdelBaky, Manish Parashar
A General Performance and QoS Model for Distributed Software-Defined Environments. IEEE Trans. Serv. Comput. 15 (1) (2022)
Manish Parashar
Editor's Note. IEEE Trans. Parallel Distributed Syst. 32 (4) (2021)
David Abramson, Manish Parashar, Peter W. Arzberger
Translation computer science - Overview of the special issue. J. Comput. Sci. 52 (2021)
Ioan Petri, Omer F. Rana, Luiz F. Bittencourt, Daniel Balouek-Thomert, Manish Parashar
Autonomics at the Edge: Resource Orchestration for Edge Native Applications. IEEE Internet Comput. 25 (4) (2021)
Zhe Wang, Pradeep Subedi, Matthieu Dorier, Philip E. Davis, Manish Parashar
Facilitating Staging-based Unstructured Mesh Processing to Support Hybrid In-Situ Workflows. IPDPS Workshops (2021)
Zhe Wang, Pradeep Subedi, Matthieu Dorier, Philip E. Davis, Manish Parashar
Adaptive Placement of Data Analysis Tasks For Staging Based In-Situ Processing. HiPC (2021)
Daniel Balouek-Thomert, Manish Parashar
Platforms for Edge Computing and Internet of Things applications: A survey. IC3 (2021)
Manish Parashar
Guest Editorial: Special Section on SC19 Student Cluster Competition. IEEE Trans. Parallel Distributed Syst. 32 (11) (2021)
Zhe Wang, Matthieu Dorier, Pradeep Subedi, Philip E. Davis, Manish Parashar
An Adaptive Elasticity Policy For Staging Based In-Situ Processing. WORKS (2021)
Azita Nouri, Philip E. Davis, Pradeep Subedi, Manish Parashar
Scalable Graph Embedding LearningOn A Single GPU. CoRR (2021)
Daniel Balouek-Thomert, Pedro Silva, Kevin Fauvel, Alexandru Costan, Gabriel Antoniu, Manish Parashar
MDSC: modelling distributed stream processing across the edge-to-cloud continuum. UCC Companion (2021)
Manish Parashar
Enabling Reproducible Research in Parallel and Distributed Systems. Computer 54 (7) (2021)
Manish Parashar, David Abramson
Translational Computer Science for Science and Engineering. Comput. Sci. Eng. 23 (5) (2021)
Azita Nouri, Philip E. Davis, Pradeep Subedi, Manish Parashar
Exploring the Role of Machine Learning in Scientific Workflows: Opportunities and Challenges. CoRR (2021)
Pradeep Subedi, Philip E. Davis, Manish Parashar
RISE: Reducing I/O Contention in Staging-based Extreme-Scale In-situ Workflows. CLUSTER (2021)
Daniel Balouek-Thomert, Ivan Rodero, Manish Parashar
Evaluating policy-driven adaptation on the Edge-to-Cloud Continuum. UrgentHPC@SC (2021)
Ian T. Foster, Mark Ainsworth, Julie Bessac, Franck Cappello, Jong Choi, Sheng Di, Zichao Wendy Di, Ali Murat Gok, Hanqi Guo, Kevin A. Huck, Christopher Kelly, Scott Klasky, Kerstin Kleese van Dam, Xin Liang, Kshitij Mehta, Manish Parashar, Tom Peterka, Line Pouchard, Tong Shu, Ozan Tugluk, Hubertus Van Dam, Lipeng Wan, Matthew Wolf, Justin M. Wozniak, Wei Xu, Igor Yakushin, Shinjae Yoo, Todd S. Munson
Online data analysis and reduction: An important Co-design motif for extreme-scale computers. Int. J. High Perform. Comput. Appl. 35 (6) (2021)
Yubo Qin, Ivan Rodero, Manish Parashar
Facilitating Data Discovery for Large-scale Science Facilities using Knowledge Networks. IPDPS (2021)
Manish Parashar
Editor's Note. IEEE Trans. Parallel Distributed Syst. 32 (10) (2021)
Zeina Houmani, Daniel Balouek-Thomert, Eddy Caron, Manish Parashar
Enabling microservices management for Deep Learning applications across the Edge-Cloud Continuum. SBAC-PAD (2021)
Yubo Qin, Ivan Rodero, Anthony Simonet, Charles Meertens, Daniel Reiner, James Riley, Manish Parashar
Leveraging user access patterns and advanced cyberinfrastructure to accelerate data delivery from shared-use scientific observatories. Future Gener. Comput. Syst. 122 (2021)
Yubo Qin, Ivan Rodero, Manish Parashar
Toward Democratizing Access to Facilities Data: A Framework for Intelligent Data Discovery and Delivery. CoRR (2021)
Ali Reza Zamani, Mengsong Zou, Javier Diaz Montes, Ioan Petri, Omer F. Rana, Ashiq Anjum, Manish Parashar
Deadline Constrained Video Analysis via In-Transit Computational Environments. IEEE Trans. Serv. Comput. 13 (1) (2020)
Shiyan Hu, Xin Li, Haibo He, Shuguang Cui, Manish Parashar
Big Data for Cyber-Physical Systems. IEEE Trans. Big Data 6 (4) (2020)
Zhe Wang, Pradeep Subedi, Shaohua Duan, Yubo Qin, Philip E. Davis, Anthony Simonet, Ivan Rodero, Manish Parashar
Exploring Trade-offs in Dynamic Task Triggering for Loosely Coupled Scientific Workflows. CoRR (2020)
Ali Reza Zamani, Daniel Balouek-Thomert, Juan J. Villalobos, Ivan Rodero, Manish Parashar
An edge-aware autonomic runtime for data streaming and in-transit processing. Future Gener. Comput. Syst. 110 (2020)
Zeina Houmani, Daniel Balouek-Thomert, Eddy Caron, Manish Parashar
Enhancing microservices architectures using data-driven service discovery and QoS guarantees. CCGRID (2020)
Issam Raïs, Otto J. Anshus, John Markus Bjørndalen, Daniel Balouek-Thomert, Manish Parashar
Trading Data Size and CNN Confidence Score for Energy Efficient CPS Node Communications. CCGRID (2020)
Manish Parashar
Parallel and Distributed Systems. Computer 53 (11) (2020)
Manish Parashar, Anthony Simonet, Ivan Rodero, Forough Ghahramani, Grace Agnew, Ron Jantz, Vasant G. Honavar
The Virtual Data Collaboratory: A Regional Cyberinfrastructure for Collaborative Data-Driven Research. Comput. Sci. Eng. 22 (3) (2020)
Kevin Fauvel, Daniel Balouek-Thomert, Diego Melgar, Pedro Silva, Anthony Simonet, Gabriel Antoniu, Alexandru Costan, Véronique Masson, Manish Parashar, Ivan Rodero, Alexandre Termier
A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning. AAAI (2020)
Yubo Qin, Ivan Rodero, Anthony Simonet, Charles Meertens, Daniel Reiner, James Riley, Manish Parashar
Leveraging User Access Patterns and Advanced Cyberinfrastructure to Accelerate Data Delivery from Shared-use Scientific Observatories. CoRR (2020)
Ivan Rodero, Manish Parashar
Data Cyberinfrastructure for End-to-End Science. Comput. Sci. Eng. 22 (5) (2020)
Tong Jin, Fan Zhang, Qian Sun, Melissa Romanus, Hoang Bui, Manish Parashar
Towards autonomic data management for staging-based coupled scientific workflows. J. Parallel Distributed Comput. 146 (2020)
Manish Parashar
Editor's Note. IEEE Trans. Parallel Distributed Syst. 31 (2) (2020)
Philip E. Davis, Pradeep Subedi, Shaohua Duan, Lee F. Ricketson, Jeffrey A. F. Hittinger, Manish Parashar
Benesh: a Programming Model for Coupled Scientific Workflows. ESPM2@SC (2020)
Shaleen Garg, Sudarsun Kannan, Manish Parashar
The Need for Precise and Efficient Memory Capacity Budgeting. MEMSYS (2020)
Shaohua Duan, Manish Parashar
Scalable Crash Consistency for Staging-based In-situ Scientific Workflows. IPDPS Workshops (2020)
Shaohua Duan, Pradeep Subedi, Philip E. Davis, Keita Teranishi, Hemanth Kolla, Marc Gamell, Manish Parashar
CoREC: Scalable and Resilient In-memory Data Staging for In-situ Workflows. ACM Trans. Parallel Comput. 7 (2) (2020)
Ching-Hsien Hsu, Manish Parashar, Omer F. Rana
Guest Editorial: Special Section on Advances of Utility and Cloud Computing Technologies and Services. IEEE Trans. Cloud Comput. 8 (4) (2020)
Daniel Balouek-Thomert, Ivan Rodero, Manish Parashar
Harnessing the Computing Continuum for Urgent Science. SIGMETRICS Perform. Evaluation Rev. 48 (2) (2020)
Hank Childs, Sean Ahern, James P. Ahrens, Andrew C. Bauer, Janine Bennett, E. Wes Bethel, Peer-Timo Bremer, Eric Brugger, Joseph Cottam, Matthieu Dorier, Soumya Dutta, Jean M. Favre, Thomas Fogal, Steffen Frey, Christoph Garth, Berk Geveci, William F. Godoy, Charles D. Hansen, Cyrus Harrison, Bernd Hentschel, Joseph A. Insley, Christopher R. Johnson, Scott Klasky, Aaron Knoll, James Kress, Matthew Larsen, Jay F. Lofstead, Kwan-Liu Ma, Preeti Malakar, Jeremy S. Meredith, Kenneth Moreland, Paul A. Navrátil, Patrick O'Leary, Manish Parashar, Valerio Pascucci, John Patchett, Tom Peterka, Steve Petruzza, Norbert Podhorszki, David Pugmire, Michel E. Rasquin, Silvio Rizzi, David H. Rogers, Sudhanshu Sane, Franz Sauer, Robert Sisneros, Han-Wei Shen, Will Usher, Rhonda Vickery, Venkatram Vishwanath, Ingo Wald, Ruonan Wang, Gunther H. Weber, Brad Whitlock, Matthew Wolf, Hongfeng Yu, Sean B. Ziegeler
A terminology for in situ visualization and analysis systems. Int. J. High Perform. Comput. Appl. 34 (6) (2020)
Zhe Wang, Pradeep Subedi, Matthieu Dorier, Philip E. Davis, Manish Parashar
Staging Based Task Execution for Data-driven, In-Situ Scientific Workflows. CLUSTER (2020)
William F. Godoy, Norbert Podhorszki, Ruonan Wang, Chuck Atkins, Greg Eisenhauer, Junmin Gu, Philip E. Davis, Jong Choi, Kai Germaschewski, Kevin A. Huck, Axel Huebl, Mark Kim, James Kress, Tahsin M. Kurç, Qing Liu, Jeremy Logan, Kshitij Mehta, George Ostrouchov, Manish Parashar, Franz Poeschel, David Pugmire, Eric Suchyta, Keichi Takahashi, Nick Thompson, Seiji Tsutsumi, Lipeng Wan, Matthew Wolf, Kesheng Wu, Scott Klasky
ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management. SoftwareX 12 (2020)
Ali Reza Zamani, Moustafa AbdelBaky, Daniel Balouek-Thomert, Juan J. Villalobos, Ivan Rodero, Manish Parashar
Submarine: A subscription-based data streaming framework for integrating large facilities and advanced cyberinfrastructure. Concurr. Comput. Pract. Exp. 32 (16) (2020)
Shouwei Chen, Wensheng Wang, Xueyang Wu, Zhen Fan, Kunwu Huang, Peiyu Zhuang, Yue Li, Ivan Rodero, Manish Parashar, Dennis Z. Weng
Optimizing Performance and Computing Resource Management of In-memory Big Data Analytics with Disaggregated Persistent Memory. CCGRID (2019)
David Abramson, Manish Parashar
Translational Research in Computer Science. Computer 52 (9) (2019)
Edward Chuah, Arshad Jhumka, Samantha Alt, Juan J. Villalobos, Joshua Fryman, William Barth, Manish Parashar
Using Resource Use Data and System Logs for HPC System Error Propagation and Recovery Diagnosis. ISPA/BDCloud/SocialCom/SustainCom (2019)
Issam Raïs, Daniel Balouek-Thomert, Anne-Cécile Orgerie, Laurent Lefèvre, Manish Parashar
Leveraging energy-efficient non-lossy compression for data-intensive applications. HPCS (2019)
Pradeep Subedi, Philip E. Davis, Manish Parashar
Leveraging Machine Learning for Anticipatory Data Delivery in Extreme Scale In-situ Workflows. CLUSTER (2019)
Edward Chuah, Arshad Jhumka, Samantha Alt, Daniel Balouek-Thomert, James C. Browne, Manish Parashar
Towards comprehensive dependability-driven resource use and message log-analysis for HPC systems diagnosis. J. Parallel Distributed Comput. 132 (2019)
Daniel Balouek-Thomert, Eduard Gibert Renart, Ali Reza Zamani, Anthony Simonet, Manish Parashar
Towards a computing continuum: Enabling edge-to-cloud integration for data-driven workflows. Int. J. High Perform. Comput. Appl. 33 (6) (2019)
Eduard Gibert Renart, Daniel Balouek-Thomert, Manish Parashar
An Edge-Based Framework for Enabling Data-Driven Pipelines for IoT Systems. IPDPS Workshops (2019)
Eduard Gibert Renart, Daniel Balouek-Thomert, Manish Parashar
Challenges in designing edge-based middlewares for the Internet of Things: A survey. CoRR (2019)
Shaohua Duan, Pradeep Subedi, Philip E. Davis, Manish Parashar
Addressing data resiliency for staging based scientific workflows. SC (2019)
Xuan Hu, Jie Gong, Eduard Gibert Renart, Manish Parashar
Two-Stage Framework for Big Spatial Data Analytics to Support Disaster Response. IEEE BigData (2019)
Yubo Qin, Anthony Simonet, Philip E. Davis, Azita Nouri, Zhe Wang, Manish Parashar, Ivan Rodero
Towards a Smart, Internet-Scale Cache Service for Data Intensive Scientific Applications. ScienceCloud@HPDC (2019)
Manish Parashar
The Reproducibility Initiative. Computer 52 (11) (2019)
Eduard Gibert Renart, Alexandre Da Silva Veith, Daniel Balouek-Thomert, Marcos Dias de Assunção, Laurent Lefèvre, Manish Parashar
Distributed Operator Placement for IoT Data Analytics Across Edge and Cloud Resources. CCGRID (2019)
Manish Parashar
Editor's Note: IEEE Transactions on Parallel and Distributed Systems (TPDS) Reproducibility Initiative, June 2019. IEEE Trans. Parallel Distributed Syst. 30 (8) (2019)
Manish Parashar
Editor's Note. IEEE Trans. Parallel Distributed Syst. 30 (8) (2019)
Manish Parashar
Editor's Note. IEEE Trans. Parallel Distributed Syst. 30 (1) (2019)
Manish Parashar
HCW 2018 Keynote Talk 1. IPDPS Workshops (2018)
Eduard Gibert Renart, Daniel Balouek-Thomert, Manish Parashar
Edge Based Data-Driven Pipelines (Technical Report). CoRR (2018)
Shadi Ibrahim, Manish Parashar, Anna Queralt, Domenico Talia
Introduction to CEBDA 2018. IPDPS Workshops (2018)
Ewa Deelman, Tom Peterka, Ilkay Altintas, Christopher D. Carothers, Kerstin Kleese van Dam, Kenneth Moreland, Manish Parashar, Lavanya Ramakrishnan, Michela Taufer, Jeffrey S. Vetter
The future of scientific workflows. Int. J. High Perform. Comput. Appl. 32 (1) (2018)
Ali Reza Zamani, Mengsong Zou, Javier Diaz Montes, Ioan Petri, Omer F. Rana, Manish Parashar
A computational model to support in-network data analysis in federated ecosystems. Future Gener. Comput. Syst. 80 (2018)
Muhammad K. Ali, Ashiq Anjum, Muhammad Usman Yaseen, Ali Reza Zamani, Daniel Balouek-Thomert, Omer F. Rana, Manish Parashar
Edge Enhanced Deep Learning System for Large-Scale Video Stream Analytics. ICFEC (2018)
Moustafa AbdelBaky, Javier Diaz Montes, Manish Parashar
Software-defined environments for science and engineering. Int. J. High Perform. Comput. Appl. 32 (1) (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Manish Parashar