EPFL professors Anastasia Ailamaki and Babak Falsafi

Shore-MT: Created by EPFL, Used by the World

In 2009, EPFL professors Anastasia Ailamaki and Babak Falsafi collaborated with their doctoral and postdoctoral students to present Shore-MT, a scalable storage manager for the multicore era. A decade later, Shore-MT continues to be a robust open-source database storage manager preferred by many users worldwide. In recognition of its continued relevance and usage, the original research paper has been honored with the 2019 EDBT Test-of-Time Award.

Picture of Karl Aberer and the open science fund graphic

Open Science Fund: Breaking Barriers for Open Research

The impact of scientific research findings remains limited unless they are disseminated among the research community as a whole. However, sharing research openly is not easy because of many cultural and technological barriers. In a bid to remove those impediments in the way of open research, EPFL President Martin Vetterli launched the Open Science Fund in September 2018.

Image showing the evaluation of SMoTherSpectre: transient execution attacks through port contention

New Research Leverages SMoTher, a Port-induced Side Channel

In a paper published earlier this month, a team of researchers from EPFL and IBM Research introduce the port-induced side channel called SMoTher. They show how it can be leveraged (instead of a cache-based side channel), as a powerful transient execution attack to leak secrets that may be held in registers or the closely-coupled L1 cache, called SMoTherSpectre.

Carmela Troncoso, tenure-track assistant professor in the EPFL School of Computer and Communication Sciences (IC)

Carmela Troncoso Wins Google Honor

The winners for 2018 have just been announced, and among them is Carmela Troncoso, tenure-track assistant professor in the EPFL School of Computer and Communication Sciences (IC).


Analytics & Applications

We are investigating new stochastic theories and analytics including statistical learning techniques, machine training and inference systems and their applications to IoT, social media and big data platforms.

Cloud Data Management

We are investigating technologies to maximize efficiency with in-memory data services, in-situ query processing on streamed data, and on-demand query engine customization using multi-objective compiler optimization.

Sustainable Data Centers

We are investigating a three-pronged approach to holistic data platforms and datacenter efficiency: vertical integration to minimize data-movement; specialization to optimize work per service; and approximation to tailor work for output quality.

Trustworthy Platforms & Systems

We are investigating technologies spanning from decentralized trust and cryptography to robustness and resiliency of natural processes to strengthen security, privacy and trust in data platforms and systems.


Hewlett Packard