Publications associées (19)

Temperature Impact on Remote Power Side-Channel Attacks on Shared FPGAs

Mathias Josef Payer, Mirjana Stojilovic, Ognjen Glamocanin, Hajira Shafqat Bazaz

To answer the growing demand for hardware acceleration, Amazon, Microsoft, and many other major cloud service providers have included field-programmable gate arrays (FPGAs) in their datacenters. However, researchers have shown that cloud FPGAs, when shared ...
2023

PokeME: Applying Context-Driven Notifications to Increase Worker Engagement in Mobile Crowd-Sourcing

Lakmal Buddika Meegahapola

In mobile crowd-sourcing systems, simply relying on people to opportunistically select and perform tasks typically leads to drawbacks such as low task acceptance/completion rates and undesirable spatial skews. In this paper, we utilize data from TASKer, a ...
ACM2020

Roundtable Panel Discussion at DAC 2019: Evolutionary Computing or Heuristic Forever?

Giovanni De Micheli, Massimiliano Di Ventra

As demands for computing have been continuously increasing, various solutions have been proposed. Some approaches deal with improving algorithms and software programs, mainly through the tuning of advanced heuristics and learning methods. Some other tackle ...
2020

Real-time 360 Body Scanning System for Virtual Reality Research Applications

Olaf Blanke, Bruno Herbelin, Florian Lance, Louis Philippe Albert

We present a low-cost solution to perform the online and realistic representation of users using an array of depth cameras. The system is composed of a cluster of 10 Microsoft Kinect 2 cameras, each one associated to a compact NUC PC to stream live depth & ...
2019

Scaling and Resilience in Numerical Algorithms for Exascale Computing

Allan Svejstrup Nielsen

The first Petascale supercomputer, the IBM Roadrunner, went online in 2008. Ten years later, the community is now looking ahead to a new generation of Exascale machines. During the decade that has passed, several hundred Petascale capable machines have bee ...
EPFL2018

Buy-It-Now or Take-a-Chance: Price Discrimination Through Randomized Auctions

Laura Elisa Celis

Increasingly detailed consumer information makes sophisticated price discrimination possible. At fine levels of aggregation, demand may not obey standard regularity conditions. We propose a new randomized sales mechanism for such environments. Bidders can ...
Informs2014

FEATURE AND SCORE LEVEL COMBINATION OF SUBSPACE GAUSSIANS IN LVCSR TASK

Petr Motlicek

In this paper, we investigate employment of discriminatively trained acoustic features modeled by Subspace Gaussian Mixture Models (SGMMs) for Rich Transcription meeting recognition. More specifically, first, we focus on exploiting various types of complex ...
2013

FEATURE AND SCORE LEVEL COMBINATION OF SUBSPACE GAUSSIANS IN LVCSR TASK

Petr Motlicek

In this paper, we investigate employment of discriminatively trained acoustic features modeled by Subspace Gaussian Mixture Models (SGMMs) for Rich Transcription meeting recognition. More specifically, first, we focus on exploiting various types of complex ...
Idiap2013

Imagining the Future: Thoughts on Computing

James Richard Larus

New and compelling ideas are transforming the future of computing, bringing about a plethora of changes that have significant implications for our profession and our society and raising some profound technical questions. A Web extra video interview feature ...
IEEE2012

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