Daniel S. Katz
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
36
Venues
12
Active years
1997–2024
Best venue rank
A*
Where they publish
Papers
36 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | SC | Establishing a High-Performance and Productive Ecosystem for Distributed Execution of Python Functions Using Globus Compute. | Rachana Ananthakrishnan, Yadu N. Babuji, Josh Bryan, Kyle Chard, Ryan Chard, Ben Clifford, Ian T. Foster, Lev Gorenstein, Kevin Hunter Kesling, Chris Janidlo, Daniel S. Katz, Reid Mello, J. Gregory Pauloski, Lei Wang |
| 2024 | SC | Parsl+CWL: Towards Combining the Python and CWL Ecosystems. | Nishchay Karle, Ben Clifford, Yadu N. Babuji, Ryan Chard, Daniel S. Katz, Kyle Chard |
| 2023 | SC | Novel Approaches Toward Scalable Composable Workflows in Hyper-Heterogeneous Computing Environments. | Jonathan Bader, Jim Belak, Matthew T. Bement, Matthew Berry, Robert Carson, Daniela Cassol, Stephen Chan, John Coleman, Kastan Day, Alejandro Duque, Kjiersten Fagnan, Jeff Froula, Shantenu Jha, Daniel S. Katz, Piotr Kica, Volodymyr V. Kindratenko, Edward Kirton, Ramani Kothadia, Daniel E. Laney, Fabian Lehmann, Ulf Leser, Sabina Licholai, Maciej Malawski, Mario Melara, Elais Player Jackson, Matthew Rolchigo, Setareh Sarrafan, Seung-Jin Sul, Abdullah Syed, Lauritz Thamsen, Mikhail Titov, Matteo Turilli, Silvina Cano-Lores, Anirban Mandal |
| 2023 | SC | Fine-grained Policy-driven I/O Sharing for Burst Buffers. | Ed Karrels, Lei Huang, Yuhong Kan, Ishank Arora, Yinzhi Wang, Daniel S. Katz, William Gropp, Zhao Zhang |
| 2019 | CLUSTER | Quantifying the Impact of Memory Errors in Deep Learning. | Zhao Zhang, Lei Huang, Ruizhu Huang, Weijia Xu, Daniel S. Katz |
| 2019 | HPDC | Parsl: Pervasive Parallel Programming in Python. | Yadu N. Babuji, Anna Woodard, Zhuozhao Li, Daniel S. Katz, Ben Clifford, Rohan Kumar, Lukasz Lacinski, Ryan Chard, Justin M. Wozniak, Ian T. Foster, Michael Wilde, Kyle Chard |
| 2019 | ICSE | Research software development & management in universities: case studies from Manchester's RSDS group, Illinois' NCSA, and Notre Dame's CRC. | Daniel S. Katz, Kenton McHenry, Caleb Reinking, Robert Haines |
| 2015 | CLUSTER | Toward Interlanguage Parallel Scripting for Distributed-Memory Scientific Computing. | Justin M. Wozniak, Timothy G. Armstrong, Ketan C. Maheshwari, Daniel S. Katz, Michael Wilde, Ian T. Foster |
| 2015 | SC | Interlanguage parallel scripting for distributed-memory scientific computing. | Justin M. Wozniak, Timothy G. Armstrong, Ketan Maheshwari, Daniel S. Katz, Michael Wilde, Ian T. Foster |
| 2014 | HPDC | Design and evaluation of the gemtc framework for GPU-enabled many-task computing. | Scott J. Krieder, Justin M. Wozniak, Timothy G. Armstrong, Michael Wilde, Daniel S. Katz, Benjamin Grimmer, Ian T. Foster, Ioan Raicu |
| 2014 | HPDC | Evaluating storage systems for scientific data in the cloud. | Ketan Maheshwari, Justin M. Wozniak, Hao Yang, Daniel S. Katz, Matei Ripeanu, Victor M. Zavala, Michael Wilde |
| 2014 | SC | Exploring Automatic, Online Failure Recovery for Scientific Applications at Extreme Scales. | Marc Gamell, Daniel S. Katz, Hemanth Kolla, Jacqueline Chen, Scott Klasky, Manish Parashar |
| 2013 | CCGRID | Swift/T: Large-Scale Application Composition via Distributed-Memory Dataflow Processing. | Justin M. Wozniak, Timothy G. Armstrong, Michael Wilde, Daniel S. Katz, Ewing L. Lusk, Ian T. Foster |
| 2013 | HPDC | MTC envelope: defining the capability of large scale computers in the context of parallel scripting applications. | Zhao Zhang, Daniel S. Katz, Michael Wilde, Justin M. Wozniak, Ian T. Foster |
| 2013 | PPoPP | Swift/T: scalable data flow programming for many-task applications. | Justin M. Wozniak, Timothy G. Armstrong, Michael Wilde, Daniel S. Katz, Ewing L. Lusk, Ian T. Foster |
| 2013 | SC | Parallelizing the execution of sequential scripts. | Zhao Zhang, Daniel S. Katz, Timothy G. Armstrong, Justin M. Wozniak, Ian T. Foster |
| 2012 | CCGRID | A Workflow-Aware Storage System: An Opportunity Study. | Emalayan Vairavanathan, Samer Al-Kiswany, Lauro Beltro Costa, Zhao Zhang, Daniel S. Katz, Michael Wilde, Matei Ripeanu |
| 2012 | EuroPar | Topic 1: Support Tools and Environments. | Omer F. Rana, Marios D. Dikaiakos, Daniel S. Katz, Christine Morin |
| 2012 | HPDC | Job and data clustering for aggregate use of multiple production cyberinfrastructures. | Ketan Maheshwari, Allan Espinosa, Daniel S. Katz, Michael Wilde, Zhao Zhang, Ian T. Foster, Scott Callaghan, Philip Maechling |
| 2012 | SC | A Social Content Delivery Network for Scientific Cooperation: Vision, Design, and Architecture. | Kyle Chard, Simon Caton, Omer F. Rana, Daniel S. Katz |
| 2012 | SC | Design and analysis of data management in scalable parallel scripting. | Zhao Zhang, Daniel S. Katz, Justin M. Wozniak, Allan Espinosa, Ian T. Foster |
| 2012 | SIGMOD | Turbine: a distributed-memory dataflow engine for extreme-scale many-task applications. | Justin M. Wozniak, Timothy G. Armstrong, Ketan Maheshwari, Ewing L. Lusk, Daniel S. Katz, Michael Wilde, Ian T. Foster |
| 2011 | SC | Panel: many-task computing meets exascales. | Ioan Raicu, Daniel A. Reed, Jack J. Dongarra, Daniel S. Katz, David Abramson |
| 2011 | SC | AME: an anyscale many-task computing engine. | Zhao Zhang, Daniel S. Katz, Matei Ripeanu, Michael Wilde, Ian T. Foster |
| 2010 | EuroPar | Distributed Systems and Algorithms. | Omer F. Rana, Giandomenico Spezzano, Michael Gerndt, Daniel S. Katz |
| 2010 | SC | Scheduling many-task workloads on supercomputers: Dealing with trailing tasks. | Timothy G. Armstrong, Zhao Zhang, Daniel S. Katz, Michael Wilde, Ian T. Foster |
| 2009 | CLUSTER | An innovative application execution toolkit for multicluster grids. | Zhifeng Yun, Zhou Lei, Gabrielle Allen, Daniel S. Katz, Tevfik Kosar, Shantenu Jha, Jagannathan Ramanujam |
| 2008 | EuroPar | Abstractions for Distributed Systems (DPA 2008). | Shantenu Jha, Daniel S. Katz, Manish Parashar, Omer F. Rana, Murray Cole |
| 2005 | SAC | The Pegasus portal: web based grid computing. | Gurmeet Singh, Ewa Deelman, Gaurang Mehta, Karan Vahi, Mei-Hui Su, G. Bruce Berriman, John Good, Joseph C. Jacob, Daniel S. Katz, Albert Lazzarini, Kent Blackburn, Scott Koranda |
| 2004 | PRDC | Application-Level Fault Tolerance in the Orbital Thermal Imaging Spectrometer. | E. Ciocca, Israel Koren, Zahava Koren, C. Mani Krishna, Daniel S. Katz |
| 2004 | SSDBM | Accessing and Visualizing Scientific Spatiotemporal Data. | Daniel S. Katz, Attila Bergou, G. Bruce Berriman, Gary L. Block, Jim Collier, David W. Curkendall, John Good, Laura Husman, Joseph C. Jacob, Anastasia C. Laity, Peggy Li, Craig Miller, Tom Prince, Herb Siegel, Roy Williams |
| 2001 | DSN | Fault-Tolerant High-Performance Matrix Multiplication: Theory and Practice. | John A. Gunnels, Robert A. van de Geijn, Daniel S. Katz, Enrique S. Quintana-Ort |
| 2000 | CLUSTER | Development of a Spaceborne Embedded Cluster. | Daniel S. Katz, Paul L. Springer |
| 2000 | DSN | Demonstration of the Remote Exploration and Experimentation (REE) Fault-Tolerant Parallel-Processing Supercomputer for Spacecraft Onboard Scientific Data Processing. | Fannie Chen, Loring Craymer, Jeff Deifik, Alvin J. Fogel, Daniel S. Katz, Alfred G. Silliman Jr., Raphael R. Some, Sean A. Upchurch, Keith Whisnant |
| 2000 | DSN | Software-Implemented Fault Detection for High-Performance Space Applications. | Michael J. Turmon, Robert Granat, Daniel S. Katz |
| 1997 | SC | Optimization of a Parallel Ocean General Circulation Model. | Ping Wang, Daniel S. Katz, Yi Chao |