Malte Schwarzkopf

Assistant Professor
ETOS, Systems and CAPS Groups
Computer Science Department, Brown University

malte@cs.brown.edu
CIT 525

I'm interested in computer systems, especially distributed systems, operating systems, and privacy-preserving systems.

In Spring 2023, I'm teaching CSCI 0300: Fundamentals of Computer Systems.

Outside of CS, I enjoy history, woodworking, biking, and art.

News

• 2022/04: Received Brown's Henry Merritt Wriston Fellowship for 2022.
• 2021/04: Received a Google Research Scholar award.
• 2021/02: Received an NSF CAREER award for my work on privacy-compliance by construction in web applications.

Publications [all]

• Pelton: Privacy-Compliant Storage For Web Applications By Construction
  Kinan Dak Albab, Ishan Sharma, Justus Adam, Benjamin Kilimnik, Aaron Jeyaraj, Raj Paul, Artem Agvanian, Leonhard Spiegelberg, Malte Schwarzkopf
  To appear at OSDI 2023
  
• Nu: Achieving Microsecond-Scale Resource Fungibility with Logical Processes
  Zhenyuan Ruan, Seo Jin Park, Marcos K. Aguilera, Adam Belay, Malte Schwarzkopf
  To appear at NSDI 2023
  
• Retrofitting GDPR Compliance onto Legacy Databases [VLDB]
  Archita Agarwal, Marilyn George, Aaron Jeyaraj, Malte Schwarzkopf
  VLDB 2022
  
• Privacy Heroes Need Data Disguises [SIGOPS] [ACM]
  Lillian Tsai, Malte Schwarzkopf, Eddie Kohler
  HotOS 2021 Best presentation runner-up
  
• Tuplex: Data Science in Python at Native Code Speed [ACM] [web] [code]
  Leonhard F. Spiegelberg, Rahul Yesantharao, Malte Schwarzkopf, Tim Kraska
  SIGMOD 2021
  
• AIFM: High-Performance, Application-Integrated Far Memory [usenix] [code]
  Zhenyuan Ruan, Malte Schwarzkopf, Marcos Aguilera, Adam Belay
  OSDI 2020
  
• Shared Arrangements: practical inter-query sharing for streaming dataflows [VLDB]
  Frank McSherry, Andrea Lattuada, Malte Schwarzkopf, Timothy Roscoe
  VLDB 2020
  
• GDPR Compliance by Construction
  Malte Schwarzkopf, Eddie Kohler, M. Frans Kaashoek, Robert Morris
  Poly 2019 workshop at VLDB 2019
  
• Learning Scheduling Algorithms for Data Processing Clusters [ACM] [arXiv:1810.01963] [website]
  Hongzi Mao, Malte Schwarzkopf, Shaileshh Bojja Venkatakrishnan, Zili Meng, Mohammad Alizadeh
  SIGCOMM 2019 – (See also our related ICLR'19 paper on reducing variance in training!)
  
• Towards Multiverse Databases [ACM]
  Alana Marzoev, Lara Timbó Araújo, Malte Schwarzkopf, Samyukta Yagati, Eddie Kohler, Robert Morris, M. Frans Kaashoek, Sam Madden
  HotOS 2019
  
• Conclave: secure multi-party computation on big data [ACM] [extended TR (with proofs)] [code]
  Nikolaj Volgushev, Malte Schwarzkopf, Ben Getchell, Andrei Lapets, Mayank Varia, Azer Bestavros
  EuroSys 2019
  
• Noria: dynamic, partially-stateful data-flow for high-performance web applications [usenix] [website] [code]
  Jon Gjengset, Malte Schwarzkopf, Jonathan Behrens, Lara Timbó Araújo, Martin Ek, Eddie Kohler, M. Frans Kaashoek, Robert Morris
  OSDI 2018
  
• Firmament: fast, centralized cluster scheduling at scale [usenix] [web] [code] – Now available for Kubernetes!
  Ionel Gog, Malte Schwarzkopf, Adam Gleave, Robert N. M. Watson, Steven Hand
  OSDI 2016
  
• Queues don't matter when you can JUMP them! [usenix] [website]
  Matthew P. Grosvenor, Malte Schwarzkopf, Ionel Gog, Robert N. M. Watson, Andrew W. Moore, Steven Hand, Jon Crowcroft
  NSDI 2015 Best paper award
  
• Musketeer: all for one, one for all in data processing systems [ACM] [website] [code]
  Ionel Gog, Malte Schwarzkopf, Natacha Crooks, Matthew P. Grosvenor, Allen Clement, Steven Hand
  EuroSys 2015
  
• Omega: flexible, scalable schedulers for large compute clusters
  Malte Schwarzkopf, Andy Konwinski, Michael Abd-El-Malek, John Wilkes
  EuroSys 2013 Best student paper award
  
• Ciel: a universal execution engine for distributed data-flow computing
  Derek G. Murray, Malte Schwarzkopf, Christopher Smowton, Steven Smith, Anil Madhavapeddy, Steven Hand
  NSDI 2011
  

Students

• Justus Adam
• Kinan Dak Albab
• Leonhard Spiegelberg (with Tim Kraska)
• Lillian Tsai (at MIT, with Frans Kaashoek, Eddie Kohler)

• Megan Frisella
• Hannah Gross
• Aaron Jeyaraj
• Benjamin Kilimnik
• Vic Li
• Rajdeep Paul
• Sreshtaa Rajesh
• Shirley Loayza Sanchez
• Livia Zhu

• Alumni:
• Benjamin Givertz (ScB, now at Twitch)
• Ishan Sharma (MSc, now at AWS)
• Yunzhi Shao (MSc, now at Amazon)
• Sinan Pehlivanoglu (MSc, now at Indiana University)
• Eleonora Kiziv (ScB, now at Google)
• Anderson Addo (UTRA)
• Jusung Lee (UTRA)
• Jon Gjengset (MIT PhD, now at AWS)
• Jackie Bredenberg (MIT MEng, now at Ab Initio)
• Samyukta Yagati (MIT UROP, now at UC Berkeley)
• Gina Yuan (MIT MEng, now at Stanford)
• Lara Timbó Araújo (MIT MEng, now at Airbnb)

Courses

• Spring 2023: CSCI 0300: Fundamentals of Computer Systems
• Fall 2022: Junior Faculty Teaching Relief
• Spring 2022: CSCI 0300: Fundamentals of Computer Systems
• Fall 2021: CSCI 2390: Privacy-Conscious Computer Systems
• Spring 2021: CSCI 0300: Fundamentals of Computer Systems
• Fall 2020: CSCI 2390: Privacy-Conscious Computer Systems
• Spring 2020: CSCI 1310: Fundamentals of Computer Systems
• Fall 2019: CSCI 2390: Privacy-Conscious Computer Systems
• Spring 2018: 6.824: Distributed Systems Engineering (at MIT)

Support

My research is supported by the NSF, Google, and VMware.

Personal

Before joining Brown, I was a postdoc in the PDOS group at MIT CSAIL. Prior to MIT, I spent several enjoyable years doing my PhD in the NetOS group in the other Cambridge.

You can find me on Twitter and GitHub. My wife, Julia Netter, is a political philosopher.