Manish ParasharDistinguished Professor of Computer Science
Title: Data Management, In-Situ Workflows and Extreme ScalesAbstract:
Data-related challenges are dominating computational and data-enabled sciences and are limiting the potential impact of scientific application workflows enabled by extreme scale computing environments. While data staging and in-situ/in-transit data processing have emerged as attractive approaches for supporting these extreme scale workflows, the increasing heterogeneity of the storage hierarchy, coupled with increasing data volumes and complex and dynamic data access/exchange patterns, are impacting the effectiveness of these techniques. In this talk I will discuss these challenges and explore how autonomic runtime techniques are being explored to address them. I will then present autonomic policies as well as cross layer mechanisms that are part of DataSpaces, an extreme scale data staging service. This research is part of the DataSpaces project at the Rutgers Discovery Informatics Institute.Biography:
Manish Parashar is Distinguished Professor of Computer Science at Rutgers University. He is also the founding Director of the Rutgers Discovery Informatics Institute (RDI2). He is currently on an IPA appointment at the National Science Foundation. His research interests are in the broad areas of Parallel and Distributed Computing and Computational and Data-Enabled Science and Engineering. Manish is the founding chair of the IEEE Technical Consortium on High Performance Computing (TCHPC), Editor-in-Chief of the IEEE Transactions on Parallel and Distributed Systems. He has received a number of awards for his research and leadership, and is Fellow of AAAS, Fellow of IEEE/IEEE Computer Society and ACM Distinguished Scientist. For more information please visit http://parashar.rutgers.edu/.