Innovating at the Intersection of Architecture and Emerging Workload Paradigms

A reception will follow the lecture.

Abstract:

The journey of innovation is enriched when multiple disciplines intersect and new ideas emerge. Over the last few decades, emerging infrastructure and workload paradigms have shaped the HW/SW architecture evolution and direction significantly. In this talk, I will cover my journey in architecture and emerging workload / infrastructure research with an emphasis on innovation at the intersection. I will start by describing QoS research that resulted in architecture innovations to support the emerging multi-tenant cloud and edge infrastructure challenges. I will then touch upon domain-specific innovations to enable efficiency and scalability for emerging usages including visual, AI and comms. I will close with examples of on-going research and future directions to innovate and co-design across AI, systems and architectures for the next generation of workload paradigms and intelligent systems.

Bio:

Ravi Iyer is an Intel Fellow and Senior Director of Emerging Systems Lab in Intel Labs. Along with his team, he conducts research on edge/cloud systems & infrastructure, emerging algorithms and workloads (e.g. AI, visual processing, networking/storage), innovative architectures / accelerators and performance optimization tools/techniques. Ravi has published more than 150 papers spanning topics related to edge/cloud infrastructure, server architecture, low power SoCs, algorithms and accelerators, networking acceleration, workload characterization, and performance analysis. Ravi has been granted more than 50 patents, with many additional patents pending. Ravi earned his Ph.D. in Computer Science from Texas A&M University. He is also an IEEE Fellow. ​