Algorithmic Memory Increases Memory Performance by an Order of Magnitude
By Sundar Iyer, Co-founder and CTO, Memoir Systems
Dr. Sundar Iyer is Co-founder and CTO for Memoir Systems. In his past experience Iyer (BS CS ‘98 IIT Bombay, MS/PhD CS Stanford ‘00/’08), co-founded Nemo Systems, where he was the CTO and Principal Architect. Nemo was acquired by Cisco Systems in '05 and specialized in memory algorithms (whose mathematical framework was developed during Iyer’s PhD thesis), for high-performance networking. At Cisco, Iyer co-led the network memory group, which focused on the research, development and deployment of memory solutions for Data Center and Enterprise networks. Iyer started his career as a founding member and senior architect at SwitchOn Networks (acquired by PMC-Sierra in ‘00), where he developed algorithms for associative memory and deep packet classification. In 2008, he was awarded the MIT technology review (TR35) young innovator award for his work on network memory.