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mlerner

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Graham: Synchronizing Clocks by Leveraging Local Clock Properties (2022) [pdf]

usenix.org
59 points·by mlerner·11 เดือนที่ผ่านมา·13 comments

Autothrottle: Resource Management for SLO-Targeted Microservices

usenix.org
22 points·by mlerner·ปีที่แล้ว·1 comments

Resiliency at Scale: Managing Google's TPUv4 Machine Learning Supercomputer

micahlerner.com
1 points·by mlerner·ปีที่แล้ว·0 comments

How the anti-cheat is anti-cheating so far

leagueoflegends.com
3 points·by mlerner·2 ปีที่แล้ว·0 comments

ServiceRouter: Hyperscale and Minimal Cost Service Mesh at Meta

micahlerner.com
1 points·by mlerner·2 ปีที่แล้ว·0 comments

A Cloud-Scale Characterization of Remote Procedure Calls

newsletter.micahlerner.com
2 points·by mlerner·2 ปีที่แล้ว·0 comments

A Cloud-Scale Characterization of Google's Remote Procedure Calls

micahlerner.com
1 points·by mlerner·2 ปีที่แล้ว·0 comments

Gemini, Amazon's system for fast failure recovery in distributed model training

micahlerner.com
2 points·by mlerner·2 ปีที่แล้ว·0 comments

Defcon: Preventing overload with graceful feature degradation (2023)

micahlerner.com
237 points·by mlerner·2 ปีที่แล้ว·95 comments

MotherDuck: DuckDB in the Cloud and in the Client [pdf]

cidrdb.org
5 points·by mlerner·2 ปีที่แล้ว·0 comments

Gemini: Fast Failure Recovery in Distributed Training with In-Memory Checkpoints

micahlerner.com
3 points·by mlerner·2 ปีที่แล้ว·0 comments

Gemini: Fast Failure Recovery in Distributed Training with In-Memory Checkpoints

newsletter.micahlerner.com
4 points·by mlerner·2 ปีที่แล้ว·0 comments

XFaaS: Hyperscale and Low Cost Serverless Functions at Meta

newsletter.micahlerner.com
3 points·by mlerner·2 ปีที่แล้ว·0 comments

XFaaS: Hyperscale and Low Cost Serverless Functions at Meta

newsletter.micahlerner.com
3 points·by mlerner·2 ปีที่แล้ว·1 comments

Blueprint: A Toolchain for Highly-Reconfigurable Microservice Applications

micahlerner.com
2 points·by mlerner·2 ปีที่แล้ว·0 comments

Gemini: Fast Failure Recovery in Distributed Training with In-Memory Checkpoints [pdf]

cs.rice.edu
50 points·by mlerner·2 ปีที่แล้ว·13 comments

XFaaS: Hyperscale and Low Cost Serverless Functions at Meta [pdf]

cis.upenn.edu
4 points·by mlerner·2 ปีที่แล้ว·0 comments

Efficient Memory Management for Large Language Model Serving with PagedAttention

newsletter.micahlerner.com
3 points·by mlerner·2 ปีที่แล้ว·0 comments

Efficient Memory Management for Large Language Model Serving with PagedAttention

newsletter.micahlerner.com
1 points·by mlerner·3 ปีที่แล้ว·0 comments

Blueprint: A Toolchain for Highly-Reconfigurable Microservice Applications

micahlerner.com
1 points·by mlerner·3 ปีที่แล้ว·0 comments

comments

mlerner
·2 ปีที่แล้ว·discuss
Author of the paper summary here - my understanding is that XFaaS doesn't run functions that are run in response to user input (e.g. XFaaS does not execute code that fetches and returns data because a user clicked on a button).
mlerner
·3 ปีที่แล้ว·discuss
Good catch! Here's the link to the framework: https://gitlab.mpi-sws.org/cld/blueprint/blueprint-compiler.

Also added it to the blog post :)
mlerner
·3 ปีที่แล้ว·discuss
The x-axis is size of trade, and the y-axis is % of trades at a specific size. ExRates had _many_ large trades, which shows up as a significantly different distribution than other exchanges like Coinbase/Bitstamp/Kraken (which had many small trades, and a long tail of larger size trades). See slide 42-44 here: https://www.sec.gov/comments/sr-nysearca-2019-01/srnysearca2...
mlerner
·3 ปีที่แล้ว·discuss
100% - although this time around there is (in my opinion) _a lot more data_ [1] that regulated markets (like CME bitcoin futures) drive price discovery.

[1] There was data back then too, it just wasn't received.
mlerner
·3 ปีที่แล้ว·discuss
The volume we were looking at was on exchanges (not on chain).
mlerner
·3 ปีที่แล้ว·discuss
It’s Jekyll - and open source! https://github.com/mlerner/mlerner.github.io
mlerner
·3 ปีที่แล้ว·discuss
Neat and funny that they have an uncited figure (the one with the six exchanges with wacky trade size distributions) from research that we did while I was working at Bitwise.

We found 95% of bitcoin trading volume at the time was fake: https://www.wsj.com/articles/most-bitcoin-trading-faked-by-u...
mlerner
·3 ปีที่แล้ว·discuss
https://www.micahlerner.com

I write about new and foundational academic CS research - writing is a way for me to learn and share with others along the way.

Some of my most popular writing is:

- FoundationDB: A Distributed Unbundled Transactional Key Value Store (https://news.ycombinator.com/item?id=28740497)

- Monarch: Google’s Planet-Scale In-Memory Time Series Database (https://news.ycombinator.com/item?id=31379383)

- Ray: A Distributed Framework for Emerging AI Applications (https://news.ycombinator.com/item?id=27730807)