Personne
Marco Antonio Rios
Cette personne n’est plus à l’EPFL
Publications associées (15)
RRAM-VAC: A Variability-Aware Controller for RRAM-based Memory Architectures
David Atienza Alonso, Alexandre Sébastien Julien Levisse, Marco Antonio Rios, Shikhar Tuli
The growing need for connected, smart and energy efficient devices requires them to provide both ultra-low standby power and relatively high computing capabilities when awoken. In this context, emerging resistive memory technologies (RRAM) appear as a prom ...
2020Exploration Methodology for BTI-Induced Failures on RRAM-Based Edge AI Systems
David Atienza Alonso, Alexandre Sébastien Julien Levisse, Miguel Peon Quiros, Marco Antonio Rios
Resistive switching memory technologies (RRAM) are seen by most of the scientific community as an enabler for Edge-level applications such as embedded deep Learning, AI or signal processing of audio and video signals. However, going beyond a "simple'' repl ...
IEEE2020Write Termination circuits for RRAM : A Holistic Approach From Technology to Application Considerations
David Atienza Alonso, Alexandre Sébastien Julien Levisse, Marco Antonio Rios
While Resistive Random Access Memories (RRAM) are perceived nowadays as a promising solution for the future of computing, these technologies suffer from intrinsic variability regarding programming voltage, switching speed and achieved resistance values. Wr ...
IEEE2020An Associativity-Agnostic in-Cache Computing Architecture Optimized for Multiplication
David Atienza Alonso, Marina Zapater Sancho, Alexandre Sébastien Julien Levisse, Marco Antonio Rios, William Andrew Simon
With the spread of cloud services and Internet of Things concept, there is a popularization of machine learning and artificial intelligence based analytics in our everyday life. However, an efficient deployment of these data-intensive services requires per ...
2019Functionality Enhanced Memories for Edge-AI Embedded Systems
David Atienza Alonso, Alexandre Sébastien Julien Levisse, Pierre-Emmanuel Julien Marc Gaillardon, Marco Antonio Rios, William Andrew Simon
With the surge in complexity of edge workloads, it appeared in the scientific community that such workloads cannot be anymore overflown to the cloud due to the huge edge device to server communication energy cost and the high energy consumption induced in ...
IEEE2019