Towards Sustainable Networks - Energy Efficiency Policy from Business to Device Instance Levels. - Tereza Cristina M. B. Carvalho; Ana C. Riekstin; Marcelo Amaral; Carlos H. A. Costa; Guilherme C. Januario; Cristina K. Dominicini; Catalin Meirosu (ICEIS (3), 2012)

REASoN - Reliability and/or availability evaluation for sustainable networking. - Marcelo Amaral; Carlos H. A. Costa; Tereza Cristina M. B. Carvalho; Catalin Meirosu (ICUMT, 2012)

SustNMS: Towards service oriented policy-based network management for energy-efficiency. - Carlos H. A. Costa; M. C. Amaral; Guilherme C. Januario; Tereza Cristina M. B. Carvalho; Catalin Meirosu (SustainIT, 2012)

Dynamic method to evaluate code optimization effectiveness. - Carlos H. A. Costa; José E. Moreira; Guilherme C. Januario; Paulo S. L. M. Barreto (Map2MPSoC/SCOPES, 2012)

Evaluation of a policy-based network management system for energy-efficiency. - Guilherme C. Januario; Carlos H. A. Costa; Marcelo C. Amarai; Ana C. Riekstin; Tereza Cristina M. B. Carvalho; Catalin Meirosu (IM, 2013)

A System Software Approach to Proactive Memory-Error Avoidance. - Carlos H. A. Costa; Yoonho Park; Bryan S. Rosenburg; Chen-Yong Cher; Kyung Dong Ryu (SC, 2014)

Active Memory Cube: A processing-in-memory architecture for exascale systems. - Ravi Nair; Samuel Antão; Carlo Bertolli; Pradip Bose; José R. Brunheroto; Tong Chen 001; Chen-Yong Cher; Carlos H. A. Costa; J. Doi; Constantinos Evangelinos; Bruce M. Fleischer; Thomas W. Fox; et al. (IBM J. Res. Dev., 2015)

Application Characterization Assisted System Design. - I-Hsin Chung; Carlos H. A. Costa; Leopold Grinberg; Hui-Fang Wen (CIT, 2016)

Towards Memory-Optimized Data Shuffling Patterns for Big Data Analytics. - Bogdan Nicolae; Carlos H. A. Costa; Claudia Misale; Kostas Katrinis; Yoonho Park (CCGrid, 2016)

Performance Analysis of Spark/GraphX on POWER8 Cluster. - Xinyu Que; Lars Schneidenbach; Fabio Checconi; Carlos H. A. Costa; Daniele Buono (ISC Workshops, 2016)

Leveraging Adaptive I/O to Optimize Collective Data Shuffling Patterns for Big Data Analytics. - Bogdan Nicolae; Carlos H. A. Costa; Claudia Misale; Kostas Katrinis; Yoonho Park (IEEE Trans. Parallel Distributed Syst., 2017)

Optimization of Genomics Analysis Pipeline for Scalable Performance in a Cloud Environment. - Carlos H. A. Costa; Claudia Misale; Frank Liu 001; Marcio Silva; Hubertus Franke; Paul Crumley; Bruce D'Amora (BIBM, 2018)

Data broker: a case for workflow enablement using a key/value approach. - Lars Schneidenbach; Bruce D'Amora; Claudia Misale; Carlos H. A. Costa; Sara Kokkila Schumacher; Thomas Ward (MEMSYS, 2019)

Preparation and optimization of a diverse workload for a large-scale heterogeneous system. - Ian Karlin; Yoonho Park; Bronis R. de Supinski; Peng Wang; Bert Still; David Beckingsale; Robert Blake; Tong Chen 001; Guojing Cong; Carlos H. A. Costa; Johann Dahm; Giacomo Domeniconi; et al. (SC, 2019)

A massively parallel infrastructure for adaptive multiscale simulations: modeling RAS initiation pathway for cancer. - 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; et al. (SC, 2019)

You Only Run Once: Spark Auto-Tuning From a Single Run. - David Buchaca Prats; Felipe Albuquerque Portella; Carlos H. A. Costa; Josep Lluis Berral (IEEE Trans. Netw. Serv. Manag., 2020)

Towards a Methodology and Framework for AI Sustainability Metrics. - Tamar Eilam; Pedro D. Bello-Maldonado; Bishwaranjan Bhattacharjee; Carlos H. A. Costa; Eun Kyung Lee; Asser N. Tantawi (HotCarbon, 2023)

Cloud-Bursting and Autoscaling for Python-Native Scientific Workflows Using Ray. - Tingkai Liu; Marquita Ellis; Carlos H. A. Costa; Claudia Misale; Sara Kokkila Schumacher; Jinwook Jung; Gi-Joon Nam; Volodymyr V. Kindratenko (ISC Workshops, 2023)

Transforming the Hybrid Cloud for Emerging AI Workloads. - Deming Chen; Alaa Youssef; Ruchi Pendse; André Schleife; Bryan K. Clark; Hendrik F. Hamann; Jingrui He; Teodoro Laino; Lav R. Varshney; Yuxiong Wang; Avirup Sil; Reyhaneh Jabbarvand; et al. (CoRR, 2024)