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Carlos H. A. Costa
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Publications
- 2023
- [c14]Tingkai Liu
, Marquita Ellis
Cloud-Bursting and Autoscaling for Python-Native Scientific Workflows Using Ray. ISC Workshops 2023: 207-220 - 2019
- [c13]Lars Schneidenbach, Bruce D'Amora, Claudia Misale, Carlos H. A. Costa, Sara Kokkila Schumacher
Data broker: a case for workflow enablement using a key/value approach. MEMSYS 2019: 250-260 - [c12]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
Preparation and optimization of a diverse workload for a large-scale heterogeneous system. SC 2019: 32:1-32:17 - [c11]Francesco Di Natale, Harsh Bhatia, Timothy S. Carpenter, Chris Neale, Sara Kokkila Schumacher
A massively parallel infrastructure for adaptive multiscale simulations: modeling RAS initiation pathway for cancer. SC 2019: 57:1-57:16 - 2018
- [c10]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
- [j2]Bogdan Nicolae
Leveraging Adaptive I/O to Optimize Collective Data Shuffling Patterns for Big Data Analytics. IEEE Trans. Parallel Distributed Syst. 28(6): 1663-1674 (2017) - 2016
- [c8]Bogdan Nicolae
Towards Memory-Optimized Data Shuffling Patterns for Big Data Analytics. CCGrid 2016: 409-412
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