Name: George Michelogiannakis
Pronouns:
Biography:
George Michelogiannakis is a staff scientist for the computer architecture group (CAG) in the AMCR division. He has extensive work on networking (both off- and on-chip) and computer architecture. His latest work focuses on post Moore’s law era looking into superconducting digital logic with novel compute models, compute and memory architectures, specialization, emerging devices (transistors), photonics, and 3D integration. He is also currently characterizing the use of key resources in modern HPC systems to reveal opportunities for resource disaggregation and is designing photonically resource-disaggregated racks.
Institution/Lab: Lawrence Berkeley National Laboratory
Website: https://crd.lbl.gov/divisions/amcr/computer-science-amcr/cag/staff/staff-researchers/george-michelogiannakis/
SRP Collaboration Topic/Title: Computer architecture, system profiling, and networking
Field or research area: Computer architecture, networking, data analysis
Please select all the topical areas that apply to your project:
Computer Science (i.e., architectures, compilers/languages, networks, workflow/edge, experiment automation, containers, neuromorphic computing, programming models, operating systems, sustainable software); High-Performance Computing
Brief Abstract:
The umbrella of my research is high performance computing (supercomputers) as well as applications. The task broadly is to design the supercomputers for 10-20 years from now. There are a few potential topics that look for adjacent skills. One possibility is research on computer architecture that uses knowledge of hardware description languages or FPGAs. Another possibility is networking (either on-chip or system-wide) research on new router architectures, flow control and such by the use of a simulator. Another possibility is profiling production systems by the use of perf or similar tools followed by analyzing and creating new metrics and plotting results in order to extract insights. Other related topics are also possible such as programming models, algorithms, and job scheduling. A combination of the above topics is also possible and encouraged. In addition, if faculty or students propose interesting and related topics that will also be great because it can lead to new areas of research.
Desired relevant skills, background, or interests:
A subset of the following: Computer architecture, hardware description languages, data analysis with python or similar, profiling systems, network knowledge, use of simulators for networks.
Other comments:
Exploring new topics is encouraged. The aforementioned research topics include machine learning techniques in multiple levels so such an experience is desired. Applying for external funding opportunities is encouraged to make sure that does not become a constraint. Also, unfortunately I’m on travel during the workshop dates. I’ll try my best to attend what I can.
Do any special requirements apply? Permanent Resident OK; International OK
Other, specify:
Keywords:
Superconducting, networks, computer architecture, hardware
Lightning Talk Title: Superconducting computing and future HPC system networking and management.