Program · · Organizations ·
Carlos Costa is a Research Staff Member at the IBM T. J. Watson Research Center (USA), where he has been leading efforts on middleware for high-performance big data analytics in the Data Centric Solutions (DCS) department. His work is mainly focused on system software, programming models and middleware for next-generation computing systems. He has been involved in multiple projects in the areas of HPC, Cloud and analytics, including the BlueGene/Q system, the Active Memory Cube (AMC) architecture for in-memory processing, and the ORNL’s Summit and LLNL’s Sierra systems. Currently, he is leading efforts in large-scale data analytics and machine learning, working at the intersection between emerging paradigms for distributed computing and traditional HPC platforms.
A Massively Parallel Infrastructure for Adaptive Multiscale Simulations: Modeling RAS Initiation Pathway for Cancer
Compiler Analysis and Optimization
Parallel Application Frameworks
State of the Practice