EECS Special Seminar: Geoff Ramseyer: Scaling the Unscalable: Solving Worst-Case Contention with Better Economic Mechanisms

Speaker: Geoff Ramseyer , Stanford University

Date: Tuesday, April 09, 2024

Time: 11:00 AM to 12:00 PM Note: all times are in the Eastern Time Zone

Public: Yes

Location: Grier Room B

Event Type: Seminar

Room Description:

Host: Frans Kaashoek, EECS

Contact: Sally O. Lee, 3-6837, sally@csail.mit.edu

Relevant URL:

Speaker URL: None

Speaker Photo:
None

Reminders to: seminars@csail.mit.edu

Reminder Subject: TALK: EECS Special Seminar: Geoff Ramseyer: Scaling the Unscalable: Solving Worst-Case Contention with Better Economic Mechanisms

Abstract:
Brute-force engineering can squeeze only so much throughput from
applications with limited parallelism. Instead, at some point, we need to
attack scalability from the other side: squeezing functionality from
scalable systems, even though this requires applying domain expertise at
much lower levels of software design. In this talk, I show how
better economic mechanisms can achieve near-linear scalability on two
problems that previously flummoxed the fintech industry:
decentralized asset exchanges and general smart contracts. In
both cases, trading a small amount of latency and semantics can
improve performance by orders of magnitude over state-of-the-art
systems. Perhaps more surprisingly, the new semantics offer
additional security and economic benefits--including increased liquidity,
more efficient auditing, and the ability to avoid at least
one class of smart-contract vulnerability. Ultimately, the key to
scalability lies in studying software architecture in tandem with the way a
system fits into the outside world. Doing so opens exciting new
parallel systems architectures and challenges while simultaneously
raising intriguing theoretical and economic questions.

Bio:
Geoff Ramseyer is a postdoctoral researcher at Stanford University.
His research interests span
building scalable, high-performance systems and analyzing
the economic tradeoffs implicit in computer system architectures.
He received his PhD from Stanford in 2023 and
his BS in 2017 from the University of Chicago.
********
https://mit.zoom.us/j/93277395945

Research Areas:

Impact Areas:

This event is not part of a series.

Created by Sally O. Lee Email at Wednesday, April 03, 2024 at 6:14 AM.