Patrick Stuedi  Patrick Stuedi photo         

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Research Staff
Zurich Research Laboratory, Zurich, Switzerland
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Professional Associations:  ACM SIGOPS

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About me

I'm a member of the research staff at IBM research Zurich. My research interests are in distributed systems, networking and operating systems. I graduated with a PhD from ETH Zurich in 2008 and spent two years (2008-2010) as a Postdoc at Microsoft Research Silicon Valley.  

The general theme of my work is to explore how modern networking and storage hardware can be exploited in distributed systems.Over the last years, I've been working on Crail, a fast distributed data store designed from ground up for fast storage (DRAM, NVMe/PCM) and networking hardware (100Gb/s RDMA, NVMf). Crail is built upon principles of user-level I/O is tailored to the storing of performance criticial ephemeral data in distributed data processing workloads (Spark, Tensforflow, serverless workloads, etc.).

Currently, I'm working one systems support for elastic machine learning using fast disaggregated storage (e.g., Crail).

Earlier, I developed DiSNI, a zero-copy RDMA-based network stack for the JVM, DaRPC, a ultra-low latency RPC library also for the JVM, and jVerbs, an RDMA-based network stack and precurser of DiSNI, which is part of the IBM JDK since May 2014.

 

News

  • Spark Summit'18 talk on serverless machine learning using Crail
  • Two papers accepted at Usenix ATC 2018
  • January 2018: Crail is now an Apache Incubator project: crail.apache.org
  • January 2017: Crail website is up: www.crail.io, moved to crail.apache.org
  • October 2016: our (ongoing) work on the Crail I/O architecture is available at github.com/apache/incubator-crail
  • July 2016: DiSNI library available at github.com/zrlio/disni
  • July 2016: DaRPC library available at github.com/zrlio/darpc

 

Recent Publications

Talks

Teaching

I'm co-teaching the following courses at ETH Zurich.

Program Committes

  • ASPLOS 2019 (external review comittee)
  • SOCC 2018
  • Usenix 2018
  • SOCC 2017
  • Systor 2017
  • ICDCS 2014
  • ICDCS 2011
  • ICDCS 2010