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SUMMARY:Towards High-Performance and Reliable Systems Software
DTSTART:20230221T140000
DTEND:20230221T150000
DTSTAMP:20260407T051356Z
UID:1dd0be5a1c91a0aafcd488231897bd328cf4df9ccc4a538c6b0f0612
CATEGORIES:Conferences - Seminars
DESCRIPTION:The EDIC program is happy to invite you to a public talk by Di
 yu Zhou\, postdoctoral reseacher at EPFL\, hosted by Prof. Kashayap.\nThe 
 aim of the talk is to present his achievements to a broad audience to prep
 are for hiring interviews coming up soon. You are warmly welcome to listen
  to the talk and participate in the Q&A session at the end of the presenta
 tion.\n\nAbstract\nExponential growth in users\, requests\, and data poses
  an ever-increasing demand on the performance of today's data centers. Thi
 s challenge has resulted in two major trends. First\, data centers scale o
 ut the computation by leveraging multicore architecture and deploying more
  servers. Second\, ultra-fast storage devices are developed to meet the ex
 ponential growth in data. Unfortunately\, traditional systems software is 
 a poor fit for these trends\, rendering applications unable to realize the
  potential of these developments. In this talk\, I will present my work on
  designing modern system software to exploit these computing trends by sup
 porting three critical application requirements: I/O efficiency\, multicor
 e scalability\, and practical reliability. I will first present OdinFS\, a
  high-performance and scalable file system for emerging non-volatile memor
 y (NVM). By taking into account the unique characteristics of NVM\, OdinFS
  scales to hundreds of cores and achieves tens to hundreds of times better
  performance than prior state of the art.  I will next present RRC\, an a
 pplication-transparent replication system for commercial off-the-shelf con
 tainers. RRC incurs latency overhead up to 75x lower than competitive sche
 mes\, while also achieving significantly lower throughput overhead\, thus 
 enabling practical deployment for critical server applications.\n\nBio\nDi
 yu Zhou is postdoctoral researcher at EPFL. He completed his Ph.D. at UCLA
  advised by Yuval Tamir. His research focuses on building high-performance
 \, scalable\, and reliable computer systems. Specifically\, he has develop
 ed I/O stacks to support modern storage devices\, devised frameworks and a
 lgorithms for synchronization primitives to scale to massive multi-core ma
 chines\, found and fixed concurrency bugs\, and designed practical fault t
 olerance mechanisms for modern systems
LOCATION:BC 410 https://plan.epfl.ch/?room==BC%20410
STATUS:CONFIRMED
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