Resiliency at Scale: Managing Google’s TPUv4 Machine Learning Supercomputer
Resiliency at Scale: Managing Google’s TPUv4 Machine Learning Supercomputer
www.micahlerner.com
Latest posts
ServiceRouter: Hyperscale and Minimal Cost Service Mesh at Meta
ServiceRouter: Hyperscale and Minimal Cost Service Mesh at Meta
A Cloud-Scale Characterization of Remote Procedure Calls
This is one of several papers I’ll be reading from 2023’s Symposium on Operating Systems Principles (SOSP). If you’d like to receive regular updates as soon as they’re published, check out my newsletter or follow me on the site formerly known as Twitter. Enjoy!
Gemini: Fast Failure Recovery in Distributed Training with In-Memory Checkpoints
This is one of several papers I’ll be reading from 2023’s Symposium on Operating Systems Principles (SOSP). If you’d like to receive regular updates as soon as they’re published, check out my newsletter or follow me on the site formerly known as Twitter. Enjoy!
XFaaS: Hyperscale and Low Cost Serverless Functions at Meta
This is one of several papers I’ll be reading from 2023’s Symposium on Operating Systems Principles (SOSP). If you’d like to receive regular updates as soon as they’re published, check out my newsletter or follow me on the site formerly known as Twitter. Enjoy!
Efficient Memory Management for Large Language Model Serving with PagedAttention
Efficient Memory Management for Large Language Model Serving with PagedAttention
Blueprint: A Toolchain for Highly-Reconfigurable Microservice Applications
Blueprint: A Toolchain for Highly-Reconfigurable Microservice Applications
2023 and looking forward to 2024
A tradition of mine is to write a year end reflection, regardless of whether it makes it up onto the blog or not.
Defcon: Preventing Overload with Graceful Feature Degradation
Defcon: Preventing Overload with Graceful Feature Degradation
Towards an Adaptable Systems Architecture for Memory Tiering at Warehouse-Scale
This is one in a series of papers I’m reading from ASPLOS. These paper reviews can be delivered weekly to your inbox, or you can subscribe to the Atom feed. As always, feel free to reach out on Twitter with feedback or suggestions!