About Me
As of February 2023, I have joined Mysten Labs as a Research Scientist.
Before Mysten Labs, I was a postdoctoral fellow in Nir Shavit’s group at MIT CSAIL. My postdoctoral research was generously supported by a SNSF Early Postdoc.Mobility fellowship.
Prior to joining MIT, I completed my PhD in the Distributed Computing Laboratory at EPFL. I was advised by Rachid Guerraoui. My PhD work was supported in part by an ERC grant. My dissertation was awarded an Honorable Mention for the EuroSys Needham PhD Award, as well as an EPFL Thesis Distinction.
My current research focuses on deep learning, specifically on ways to learn with less data, and on efficiently leveraging very large deep learning models. I am also interested in the theory and practice of shared memory algorithms. My research has explored the impact of emerging technologies, such as RDMA and persistent memory, on the way that we build distributed systems.
Conference Papers
Author names appear in alphabetical order.
- uBFT: Microsecond-scale BFT using Disaggregated Memory
Marcos K. Aguilera, Naama Ben-David, Rachid Guerraoui, Antoine Murat, Athanasios Xygkis, Igor Zablotchi.
ASPLOS 2023 (to appear)
[Full Version] - Frugal Byzantine Computing
Marcos K. Aguilera, Naama Ben-David, Rachid Guerraoui, Dalia Papuc, Athanasios Xygkis, Igor Zablotchi.
DISC 2021
[Conference Version] [Full Version] [Talk] - Leaderless Consensus
Karolos Antoniadis, Antoine Desjardins, Vincent Gramoli, Rachid Guerraoui, Igor Zablotchi.
ICDCS 2021. Best paper award!
[Full Version] [Talk] - Microsecond Consensus for Microsecond Applications
Marcos K. Aguilera, Naama Ben-David, Rachid Guerraoui, Virendra J. Marathe, Athanasios Xygkis, Igor Zablotchi.
OSDI 2020
[Conference Version] [Full Version] [Slides] [Talk] [Code] - Efficient Multi-word Compare and Swap
Rachid Guerraoui, Alex Kogan, Virendra J. Marathe, Igor Zablotchi.
DISC 2020
[Conference Version] [Full Version] [Talk] - The Impact of RDMA on Agreement
Marcos K. Aguilera, Naama Ben-David, Rachid Guerraoui, Virendra J. Marathe, Igor Zablotchi.
PODC 2019
[Conference Version] [Full Version] - The Inherent Cost of Remembering Consistently
Nachshon Cohen, Rachid Guerraoui, Igor Zablotchi.
SPAA 2018
[Conference Version] - Log-Free Concurrent Data Structures
Tudor David, Aleksandar Dragojevic, Rachid Guerraoui, Igor Zablotchi. USENIX ATC 2018
[Paper] - The Disclosure Power of Shared Objects
Peva Blanchard, Rachid Guerraoui, Julien Stainer, Igor Zablotchi.
NETYS 2017 (Short paper)
[Conference Version] [Full Version] - FloDB: Unlocking Memory in Persistent Key-Value Stores
Oana Balmau, Rachid Guerraoui, Vasileios Trigonakis, Igor Zablotchi. EuroSys 2017
[Paper] - Fast and Robust Memory Reclamation for Concurrent Data Structures
Oana Balmau, Rachid Guerraoui, Maurice Herlihy, Igor Zablotchi.
SPAA 2016
[Conference Version] [Full Version]
Journal Articles
- Leaderless Consensus
Karolos Antoniadis, Julien Benhaim, Antoine Desjardins, Poroma Elias, Vincent Gramoli, Rachid Guerraoui, Gauthier Voron and Igor Zablotchi.
JPDC (to appear).
[Paper]
Talks
Microsecond Consensus for Microsecond Applications
Two Sigma, December 2020
OSDI 2020
Efficient Multi-word Compare and Swap
DISC 2020
RDMA & Distributed Systems: A Principled Approach
IBM Research Zurich, January 2019
The Inherent Cost of Remembering Consistently
SPAA 2018
Fast and Robust Memory Reclamation for Concurrent Data Structures
SPAA 2016
Posters
Log-Free Concurrent Data Structures
USENIX ATC 2018
[Poster]
FloDB: Unlocking Memory in Persistent Key-Value Stores
EuroSys 2017
[Poster]