- Mehdi Roozmeh, Ivan Kondov
:
Workflow Generation with wfGenes. WORKS@SC 2020: 9-16 - Rafael Ferreira da Silva, Loïc Pottier, Tainã Coleman, Ewa Deelman, Henri Casanova:
WorkflowHub: Community Framework for Enabling Scientific Workflow Research and Development. WORKS@SC 2020: 49-56 - IEEE/ACM Workflows in Support of Large-Scale Science, WORKS@SC 2020, Atlanta, GA, USA, November 12, 2020. IEEE 2020, ISBN 978-1-6654-0452-5 [contents]
- 2019
- Mathieu Dugré, Valérie Hayot-Sasson, Tristan Glatard:
A Performance Comparison of Dask and Apache Spark for Data-Intensive Neuroimaging Pipelines. WORKS@SC 2019: 40-49 - Kshitij Mehta, Ian T. Foster, Scott Klasky, Bryce Allen, Matthew Wolf, Jeremy Logan, Eric Suchyta, Jong Choi, Keichi Takahashi, Igor Yakushin, Todd S. Munson:
A Codesign Framework for Online Data Analysis and Reduction. WORKS@SC 2019: 11-20 - Xinzheng Niu, Mideng Qian, Chase Q. Wu, Aiqin Hou:
On a Parallel Spark Workflow for Frequent Itemset Mining Based on Array Prefix-Tree. WORKS@SC 2019: 50-59 - Tapasya Patki, Zachary Frye, Harsh Bhatia, Francesco Di Natale, James N. Glosli, Helgi I. Ingólfsson, Barry Rountree:
Comparing GPU Power and Frequency Capping: A Case Study with the MuMMI Workflow. WORKS@SC 2019: 31-39 - Renan Souza, Patrick Valduriez, Marta Mattoso, Renato Cerqueira, Marco Aurélio Stelmar Netto, Leonardo Azevedo, Vítor Lourenço, Elton F. de Souza Soares, Raphael Thiago, Rafael Brandão, Daniel Civitarese, Emilio Vital Brazil, Márcio Ferreira Moreno:
Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering. WORKS@SC 2019: 1-10 - Ronny Tschüter, Christian Herold, William Williams, Maximilian Knespel, Matthias Weber:
A Top-Down Performance Analysis Methodology for Workflows: Tracking Performance Issues from Overview to Individual Operations. WORKS@SC 2019: 21-30 - 2019 IEEE/ACM Workflows in Support of Large-Scale Science, WORKS@SC 2019, Denver, CO, USA, November 17, 2019. IEEE 2019, ISBN 978-1-7281-5997-3 [contents]
- 2017
- Scott Callaghan, Gideon Juve, Karan Vahi, Philip J. Maechling, Thomas H. Jordan, Ewa Deelman:
rvGAHP: push-based job submission using reverse SSH connections. WORKS@SC 2017: 3:1-3:8 - Matthieu Dorier, Justin M. Wozniak, Robert B. Ross:
Supporting task-level fault-tolerance in HPC workflows by launching MPI jobs inside MPI jobs. WORKS@SC 2017: 5:1-5:11 - William Fox, Devarshi Ghoshal, Abel Souza, Gonzalo P. Rodrigo, Lavanya Ramakrishnan:
E-HPC: a library for elastic resource management in HPC environments. WORKS@SC 2017: 1:1-1:11 - Matthias Janetschek, Radu Prodan:
A compiler transformation-based approach to scientific workflow enactment. WORKS@SC 2017: 4:1-4:11 - Raffaele Montella, Diana Di Luccio, Livia Marcellino, Ardelio Galletti, Sokol Kosta, Alison Brizius, Ian T. Foster:
Processing of crowd-sourced data from an internet of floating things. WORKS@SC 2017: 8:1-8:11 - Isabel Rosseti, Kary A. C. S. Ocaña, Daniel de Oliveira:
Towards preserving results confidentiality in cloud-based scientific workflows. WORKS@SC 2017: 6:1-6:9 - Rafael Ferreira da Silva, Scott Callaghan, Ewa Deelman:
On the use of burst buffers for accelerating data-intensive scientific workflows. WORKS@SC 2017: 2:1-2:9 - Alok Singh, Arvind Rao, Shweta Purawat, Ilkay Altintas:
A machine learning approach for modular workflow performance prediction. WORKS@SC 2017: 7:1-7:11 - Sandra Gesing, Rizos Sakellariou:
Proceedings of the 11th Workshop on Workflows in Support of Large-Scale Science co-located with The International Conference for High Performance Computing, Networking, Storage and Analysis (SC 2016), Salt Lake City, Utah, USA, November 14, 2016. CEUR Workshop Proceedings 1800, CEUR-WS.org 2017 [contents] - Johan Montagnat, Ian J. Taylor, Sandra Gesing, Rizos Sakellariou:
Proceedings of the 12th Workshop on Workflows in Support of Large-Scale Science, WORKS@SC 2017, Denver, CO, USA, November 12 - 17, 2017. ACM 2017, ISBN 978-1-4503-5129-4 [contents] - 2016
- David Abramson:
Using Scientific Workflows for Science and Engineering Optimisation. WORKS@SC 2016: 1-3 - Silvina Caíno-Lores, Andrei Lapin, Peter G. Kropf, Jesús Carretero:
Lessons Learned from Applying Big Data Paradigms to Large Scale Scientific Workflows. WORKS@SC 2016: 54-58 - Christopher S. Daley, Devarshi Ghoshal, Glenn K. Lockwood, Sudip S. Dosanjh, Lavanya Ramakrishnan, Nicholas J. Wright:
Performance Characterization of Scientific Workflows for the Optimal Use of Burst Buffers. WORKS@SC 2016: 69-73 - Maciej Malawski:
Towards Serverless Execution of Scientific Workflows - HyperFlow Case Study. WORKS@SC 2016: 25-33 - Raffaele Montella, Alison Brizius, Diana Di Luccio, Cheryl H. Porter, Joshua Elliott, Ravi K. Madduri, David Kelly, Angelo Riccio, Ian T. Foster:
Applications of the FACE-IT Data Science Portal and Workflow Engine for Operational Food Quality Prediction and Assessment: Mussel Farm Monitoring in the Bay of Napoli, Italy. WORKS@SC 2016: 64-68 - Tong Shu, Chase Qishi Wu:
Energy-efficient Mapping of Big Data Workflows under Deadline Constraints. WORKS@SC 2016: 34-43 - Rafael Ferreira da Silva, Rosa Filgueira, Ewa Deelman, Erola Pairo-Castineira, Ian Michael Overton, Malcolm P. Atkinson:
Using Simple PID Controllers to Prevent and Mitigate Faults in Scientific Workflows. WORKS@SC 2016: 15-24 - Bruno Silva, Marco Aurélio Stelmar Netto, Renato Luiz de Freitas Cunha:
SLA-aware Interactive Workflow Assistant for HPC Parameter Sweeping Experiments. WORKS@SC 2016: 4-14 - Vítor Silva, Leonardo Neves, Renan Souza, Alvaro L. G. A. Coutinho, Daniel de Oliveira, Marta Mattoso:
Integrating Domain-Data Steering with Code-Profiling Tools to Debug Data-Intensive Workflows. WORKS@SC 2016: 59-63 - Renan Souza, Vítor Silva, Alvaro L. G. A. Coutinho, Patrick Valduriez, Marta Mattoso:
Online Input Data Reduction in Scientific Workflows. WORKS@SC 2016: 44-53
