Emerging workloads that manage and harvest useful insights from large amounts of data require corresponding new data-centric system architecture optimizations. In particular, with the growing importance of power and cooling, a key challenge for such future designs is to achieve higher performance at better energy efficiency. At the same time, emerging technology inflections provide a unique opportunity for novel redesigns at both the hardware and software levels. In this talk, I will provide an overview of how the Data-centric Data Center project at HP Labs is addressing these opportunities. I will specifically focus on a few examples:
About the speaker:
|
|
Partha Ranganathan is a corporate fellow at Hewlett Packard Labs where he currently leads a research program on future data-centric data centers. His research interests are in systems architecture and manageability, energy-efficiency, and systems modeling and evaluation. He has done extensive work in these areas including key contributions around energy-aware user interfaces, heterogeneous multi-core processors, power capping and power-aware server designs, federated enterprise power management, energy modeling and benchmarking, disaggregated blade server architectures, and most recently, storage hierarchy and systems redesign for non-volatile memory. Dr. Ranganathan's work has had broad impact on industry and academia and has been featured in various venues including the New York Times, Wall Street Journal, Business Week, San Francisco Chronicle, Times of India, Slashdot, Youtube, and Tom's hardware guide. He has been named one of the world's top young innovators by MIT Technology Review, and has been recognized with several other awards including Rice University's Outstanding Young Engineering Alumni award. Dr. Ranganathan received his B.Tech degree from the Indian Institute of Technology, Madras and his M.S. and Ph.D. from Rice University, Houston. |
Contact information:
Partha Ranganathan
HP Labs
email: partha-dot-ranganathan-at-hp-dot-com