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Claudia Misale

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2020 – today

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2024
[c19]
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Anna Maria Nestorov, Diego Marrón, Alberto Gutierrez-Torre, Chen Wang, Claudia Misale, Alaa Youssef, David Carrera, Josep Lluís Berral:
Dexter: A Performance-Cost Efficient Resource Allocation Manager for Serverless Data Analytics. Middleware 2024: 117-130
[i5]
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  - journals/corr/abs-2407-05467
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Talia Gershon, Seetharami Seelam, Brian Belgodere, Milton Bonilla, Lan Hoang, Danny Barnett, I-Hsin Chung, Apoorve Mohan, Ming-Hung Chen, Lixiang Luo, Robert Walkup, Constantinos Evangelinos, Shweta Salaria, Marc Dombrowa, Yoonho Park, Apo Kayi, Liran Schour, Alim Alim, Ali Sydney, Pavlos Maniotis, Laurent Schares, Bernard Metzler, Bengi Karacali-Akyamac, Sophia Wen, Tatsuhiro Chiba, Sunyanan Choochotkaew, Takeshi Yoshimura, Claudia Misale, Tonia Elengikal, Kevin O. Connor, Zhuoran Liu, Richard Molina, Lars Schneidenbach, James Caden, Christopher Laibinis, Carlos Fonseca, Vasily Tarasov, Swaminathan Sundararaman, Frank B. Schmuck, Scott Guthridge, Jeremy Cohn, Marc Eshel, Paul Muench, Runyu Liu, William Pointer, Drew Wyskida, Bob Krull, Ray Rose, Brent Wolfe, William Cornejo, John Walter, Colm Malone, Clifford Perucci, Frank Franco, Nigel Hinds, Bob Calio, Pavel Druyan, Robert Kilduff, John Kienle, Connor McStay, Andrew Figueroa, Matthew Connolly, Edie Fost, Gina Roma, Jake Fonseca, Ido Levy, Michele Payne, Ryan Schenkel, Amir Malki, Lion Schneider, Aniruddha Narkhede, Shekeba Moshref, Alexandra Kisin, Olga Dodin, Bill Rippon, Henry Wrieth, John Ganci, Johnny Colino, Donna Habeger-Rose, Rakesh Pandey, Aditya Gidh, Aditya Gaur, Dennis Patterson, Samsuddin Salmani, Rambilas Varma, Rumana Rumana, Shubham Sharma, Mayank Mishra, Rameswar Panda, Aditya Prasad, Matt Stallone, Gaoyuan Zhang, Yikang Shen, David Cox, Ruchir Puri, Dakshi Agrawal, Drew Thorstensen, Joel Belog, Brent Tang:
The infrastructure powering IBM's Gen AI model development. CoRR abs/2407.05467 (2024)
2023
[c18]
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Laurent Schares, Asser N. Tantawi, Pavlos Maniotis, Ming-Hung Chen, Claudia Misale, Seetharami Seelam, Hao Yu:
Chic-sched: a HPC Placement-Group Scheduler on Hierarchical Topologies with Constraints. IPDPS 2023: 424-434
[c17]
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Tingkai Liu, Marquita Ellis, Carlos H. A. Costa, Claudia Misale, Sara Kokkila Schumacher, Jinwook Jung, Gi-Joon Nam, Volodymyr V. Kindratenko:
Cloud-Bursting and Autoscaling for Python-Native Scientific Workflows Using Ray. ISC Workshops 2023: 207-220
2022
[c16]
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  - conf/canopie-hpc/MilroyMGESDPYGAP22
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Daniel J. Milroy, Claudia Misale, Giorgis Georgakoudis, Tonia Elengikal, Abhik Sarkar, Maurizio Drocco, Tapasya Patki, Jae-Seung Yeom, Carlos Eduardo Arango Gutierrez, Dong H. Ahn, Yoonho Park:
One Step Closer to Converged Computing: Achieving Scalability with Cloud-Native HPC. CANOPIE-HPC@SC 2022: 57-70
[c15]
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Anna Maria Nestorov, Josep Lluís Berral, Claudia Misale, Chen Wang, David Carrera, Alaa Youssef:
Floki: a proactive data forwarding system for direct inter-function communication for serverless workflows. WOC@Middleware 2022: 13-18
2021
[c14]
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Anna Maria Nestorov, Jordà Polo, Claudia Misale, David Carrera, Alaa Youssef:
Performance Evaluation of Data-Centric Workloads in Serverless Environments. CLOUD 2021: 491-496
[c13]
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Claudia Misale, Maurizio Drocco, Daniel J. Milroy, Carlos Eduardo Arango Gutierrez, Stephen Herbein, Dong H. Ahn, Yoonho Park:
It's a Scheduling Affair: GROMACS in the Cloud with the KubeFlux Scheduler. CANOPIE-HPC@SC 2021: 10-16
[c12]
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Claudia Misale, Daniel J. Milroy, Carlos Eduardo Arango Gutierrez, Maurizio Drocco, Stephen Herbein, Dong H. Ahn, Zvonko Kaiser, Yoonho Park:
Towards Standard Kubernetes Scheduling Interfaces for Converged Computing. SMC 2021: 310-326
[i4]
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  - journals/corr/abs-2109-03739
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Daniel J. Milroy, Claudia Misale, Stephen Herbein, Dong H. Ahn:
A Dynamic, Hierarchical Resource Model for Converged Computing. CoRR abs/2109.03739 (2021)

2010 – 2019

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2019
[c11]
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  - conf/memsys/SchneidenbachDM19
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Lars Schneidenbach, Bruce D'Amora, Claudia Misale, Carlos H. A. Costa, Sara Kokkila Schumacher, Thomas Ward:
Data broker: a case for workflow enablement using a key/value approach. MEMSYS 2019: 250-260
[c10]
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  - conf/sc/KarlinPSWSBBCCC19
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Ian Karlin, Yoonho Park, Bronis R. de Supinski, Peng Wang, Bert Still, David Beckingsale, Robert Blake, Tong Chen, Guojing Cong, Carlos H. A. Costa, Johann Dahm, Giacomo Domeniconi, Thomas Epperly, Aaron Fisher, Sara Kokkila Schumacher, Steven H. Langer, Hai Le, Eun Kyung Lee, Naoya Maruyama, Xinyu Que, David F. Richards, Björn Sjögreen, Jonathan Wong, Carol S. Woodward, Ulrike Meier Yang, Xiaohua Zhang, Bob Anderson, David Appelhans, Levi Barnes, Peter D. Barnes Jr., Sorin Bastea, David Böhme, Jamie A. Bramwell, James M. Brase, José R. Brunheroto, Barry Chen, Charway R. Cooper, Tony Degroot, Robert D. Falgout, Todd Gamblin, David J. Gardner, James N. Glosli, John A. Gunnels, Max P. Katz, Tzanio V. Kolev, I-Feng W. Kuo, Matthew P. LeGendre, Ruipeng Li, Pei-Hung Lin, Shelby Lockhart, Kathleen McCandless, Claudia Misale, Jaime H. Moreno, Rob Neely, Jarom Nelson, Rao Nimmakayala, Kathryn M. O'Brien, Kevin O'Brien, Ramesh Pankajakshan, Roger Pearce, Slaven Peles, Phil Regier, Steven C. Rennich, Martin Schulz, Howard Scott, James C. Sexton, Kathleen Shoga, Shiv Sundram, Guillaume Thomas-Collignon, Brian Van Essen, Alexey Voronin, Bob Walkup, Lu Wang, Chris Ward, Hui-Fang Wen, Daniel A. White, Christopher Young, Cyril Zeller, Edward Zywicz:
Preparation and optimization of a diverse workload for a large-scale heterogeneous system. SC 2019: 32:1-32:17
[c9]
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Francesco Di Natale, Harsh Bhatia, Timothy S. Carpenter, Chris Neale, Sara Kokkila Schumacher, Tomas Oppelstrup, Liam Stanton, Xiaohua Zhang, Shiv Sundram, Thomas R. W. Scogland, Gautham Dharuman, Michael P. Surh, Yue Yang, Claudia Misale, Lars Schneidenbach, Carlos H. A. Costa, Changhoan Kim, Bruce D'Amora, Sandrasegaram Gnanakaran, Dwight V. Nissley, Frederick H. Streitz, Felice C. Lightstone, Peer-Timo Bremer, James N. Glosli, Helgi I. Ingólfsson:
A massively parallel infrastructure for adaptive multiscale simulations: modeling RAS initiation pathway for cancer. SC 2019: 57:1-57:16
[r1]
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Marco Aldinucci, Maurizio Drocco, Claudia Misale, Guy Tremblay:
Languages for Big Data analysis. Encyclopedia of Big Data Technologies 2019
2018
[j6]
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  - journals/fgcs/MisaleDTMA18
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Claudia Misale, Maurizio Drocco, Guy Tremblay, Alberto Riccardo Martinelli, Marco Aldinucci:
PiCo: High-performance data analytics pipelines in modern C++. Future Gener. Comput. Syst. 87: 392-403 (2018)
[j5]
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Marco Aldinucci, Marco Danelutto, Maurizio Drocco, Peter Kilpatrick, Claudia Misale, Guilherme Peretti Pezzi, Massimo Torquati:
A parallel pattern for iterative stencil + reduce. J. Supercomput. 74(11): 5690-5705 (2018)
[c8]
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Carlos H. A. Costa, Claudia Misale, Frank Liu, Marcio Silva, Hubertus Franke, Paul Crumley, Bruce D'Amora:
Optimization of Genomics Analysis Pipeline for Scalable Performance in a Cloud Environment. BIBM 2018: 1147-1154
2017
[j4]
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Fabio Tordini, Maurizio Drocco, Claudia Misale, Luciano Milanesi, Pietro Liò, Ivan Merelli, Massimo Torquati, Marco Aldinucci:
NuChart-II: The road to a fast and scalable tool for Hi-C data analysis. Int. J. High Perform. Comput. Appl. 31(3): 196-211 (2017)
[j3]
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Claudia Misale, Maurizio Drocco, Marco Aldinucci, Guy Tremblay:
A Comparison of Big Data Frameworks on a Layered Dataflow Model. Parallel Process. Lett. 27(1): 1740003:1-1740003:20 (2017)
[j2]
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Bogdan Nicolae, Carlos H. A. Costa, Claudia Misale, Kostas Katrinis, Yoonho Park:
Leveraging Adaptive I/O to Optimize Collective Data Shuffling Patterns for Big Data Analytics. IEEE Trans. Parallel Distributed Syst. 28(6): 1663-1674 (2017)
[c7]
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Claudia Misale, Maurizio Drocco, Guy Tremblay, Marco Aldinucci:
PiCo: A Novel Approach to Stream Data Analytics. Euro-Par Workshops 2017: 118-128
[i3]
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Maurizio Drocco, Claudia Misale, Guy Tremblay, Marco Aldinucci:
A Formal Semantics for Data Analytics Pipelines. CoRR abs/1705.01629 (2017)
2016
[c6]
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  - conf/ccgrid/NicolaeCMKP16
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Bogdan Nicolae, Carlos H. A. Costa, Claudia Misale, Kostas Katrinis, Yoonho Park:
Towards Memory-Optimized Data Shuffling Patterns for Big Data Analytics. CCGrid 2016: 409-412
[c5]
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Maurizio Drocco, Claudia Misale, Marco Aldinucci:
A Cluster-as-Accelerator Approach for SPMD-Free Data Parallelism. PDP 2016: 350-353
[i2]
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Claudia Misale, Maurizio Drocco, Marco Aldinucci, Guy Tremblay:
A Comparison of Big Data Frameworks on a Layered Dataflow Model. CoRR abs/1606.05293 (2016)
[i1]
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Marco Aldinucci, Marco Danelutto, Maurizio Drocco, Peter Kilpatrick, Claudia Misale, Guilherme Peretti Pezzi, Massimo Torquati:
A parallel pattern for iterative stencil + reduce. CoRR abs/1609.04567 (2016)
2015
[c4]
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Fabio Tordini, Maurizio Drocco, Claudia Misale, Luciano Milanesi, Pietro Liò, Ivan Merelli, Marco Aldinucci:
Parallel Exploration of the Nuclear Chromosome Conformation with NuChart-II. PDP 2015: 725-732
[c3]
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Maurizio Drocco, Claudia Misale, Guilherme Peretti Pezzi, Fabio Tordini, Marco Aldinucci:
Memory-Optimised Parallel Processing of Hi-C Data. PDP 2015: 741-746
2014
[j1]
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  - journals/bib/AldinucciTSDMCC14
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Marco Aldinucci, Massimo Torquati, Concetto Spampinato, Maurizio Drocco, Claudia Misale, Cristina Calcagno, Mario Coppo:
Parallel stochastic systems biology in the cloud. Briefings Bioinform. 15(5): 798-813 (2014)
[c2]
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Marco Aldinucci, Maurizio Drocco, Guilherme Peretti Pezzi, Claudia Misale, Fabio Tordini, Massimo Torquati:
Exercising High-Level Parallel Programming on Streams: A Systems Biology Use Case. ICDCS Workshops 2014: 51-56
[c1]
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Claudia Misale:
Accelerating Bowtie2 with a lock-less concurrency approach and memory affinity. PDP 2014: 578-585

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