Publication

EigenMaps: Algorithms for Optimal Thermal Maps Extraction and Sensor Placement on Multicore Processors

Publications associées (32)

Faster Parallel Training of Word Embeddings

Word embeddings have gained increasing popularity in the recent years due to the Word2vec library and its extension fastText that uses subword information. In this paper, we aim at improving the execution speed of fastText training on homogeneous multi- an ...

IEEE COMPUTER SOC2021

Modelling of vertical and ferroelectric junctionless technology for efficient 3D neural network compute cube dedicated to embedded artificial intelligence

David Atienza Alonso, Giovanni Ansaloni, Alexandre Sébastien Julien Levisse

This paper presents the set of simulation means used to develop the concept of N2C2 (neural network compute cube) based on a vertical transistor technology platform. On the basis of state-of-the-art junctionless nanowire transistors (JLNT), TCAD simulation ...

2021

How Many CPU Cores is an FPGA Worth? Lessons Learned from Accelerating String Sorting on a CPU-FPGA System

Paolo Ienne, Mikhail Asiatici, Damian Maiorano

String sorting is a fundamental kernel of string matching and database index construction; yet, it has not been studied as extensively as fixed-length keys sorting. Because processing variable-length keys in hardware is challenging, it is no surprise that ...

SPRINGER2021

3D-ICE 3.0: efficient nonlinear MPSoC thermal simulation with pluggable heat sink models

David Atienza Alonso, Marina Zapater Sancho, Federico Terraneo

The increasing power density in modern high-performance multi-processor system-on-chip (MPSoC) is fueling a revolution in thermal management. On the one hand, thermal phenomena are becoming a critical concern, making accurate and efficient simulation a nec ...

2021

Resource Trade-Offs in Circuits and Systems: from Neurotechnology to Communications

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This thesis aims to explore and exploit trade-offs in integrated circuits and systems to overcome the fundamental bottlenecks faced by future data acquisition and communication systems. Specifically, we target the emerging implantable neurotechnology and t ...

EPFL2021

Cryogenic MOSFET Modeling for Large-Scale Quantum Computing

Arnout Lodewijk M Beckers

Promising results of state-of-the-art quantum computers fuel a world-wide effort in academic and private research laboratories to scale up the number of qubits and improve their characteristics in large arrays. To meet the scale-up challenge, innovative mi ...

EPFL2021

Random flip-flop: adding quantum randomness to digital circuits for improved cyber security, artificial intelligence and more

Claudio Bruschini, Edoardo Charbon, Ivan Michel Antolovic, Mario Stipcevic

Harnessing quantum randomness for the generation of random numbers is an important concept crucial for information security and many other computer-related applications. Quantum random number generators (QRNGs) are evolving from bulky, slow, and expensive ...

SPIE2021

Magnonic crystals with reconfigurable magnetic defects for spin-based microwave electronics

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Collective spin excitations can propagate in magnetically ordered materials in the form of waves. These so-called spin waves (SWs) or magnons are promising for low-power beyond-CMOS information processing, which does not rely anymore on the lossy movement ...

EPFL2021

Towards Deeply Scaled 3D MPSoCs with Integrated Flow Cell Array Technology

David Atienza Alonso, Mohamed Mostafa Sabry Aly, Halima Najibi, Marina Zapater Sancho, Alexandre Sébastien Julien Levisse

Deeply-scaled three-dimensional (3D) Multi-Processor Systems-on-Chip (MPSoCs) enable high performance and massive communication bandwidth for next-generation computing. However, as process nodes shrink, temperature-dependent leakage dramatically increases, ...

2020

Energy- and Cost-Efficient VLSI DSP Systems Design with Approximate Computing

Reza Ghanaatian Jahromi

Technology scaling has progressed to enable integrated circuits with extremely high density enabling systems of tremendous complexity with manageable power consumption. With the continuation of Moore's law for many years, electronic chips have been able to ...

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Embedded Microchannel Cooling for High Power-Density GaN-on-Si Power Integrated Circuits

Elison de Nazareth Matioli, Reza Soleiman Zadeh Ardebili, Georgios Kampitsis, Remco Franciscus Peter van Erp, Luca Nela

In this work, we demonstrate a new thermal management approach for direct cooling of GaN-on-Si power integrated circuits (ICs), in which the Si substrate functions as a microfluidic heat sink, turning Si into a cost-effective, high thermal performance subs ...

IEEE2020

Enabling Optimal Power Generation of Flow Cell Arrays in 3D MPSoCs with On-Chip Switched Capacitor Converters

David Atienza Alonso, Halima Najibi, Marina Zapater Sancho, Alexandre Sébastien Julien Levisse

Flow cell arrays (FCAs) provide efficient on-chip liquid cooling and electrochemical power generation capabilities in three-dimensional multi-processor systems-on-chip (3DMPSoCs). When connected to power delivery networks (PDNs) of chips, the current flowi ...

IEEE2020