Publications associées à Architecture de type Harvard

MOD2IR: High-Performance Code Generation for a Biophysically Detailed Neuronal Simulation DSL

Felix Schürmann, Pramod Shivaji Kumbhar, Omar Awile, Snehal Pramod Kumbhar, Ioannis Magkanaris

Advances in computational capabilities and large volumes of experimental data have established computer simulations of brain tissue models as an important pillar in modern neuroscience. Alongside, a variety of domain specific languages (DSLs) have been dev ...

ACM2023

How to Achieve Large-Area Ultra-Fast Operation of MoS 2 Monolayer Flash Memories?

Aleksandra Radenovic, Andras Kis, Mukesh Kumar Tripathi, Asmund Kjellegaard Ottesen, Yanfei Zhao, Guilherme Migliato Marega, Zhenyu Wang, Hyungoo Ji

Memory devices have returned to the spotlight due to increasing interest in using in-memory computing architectures to make data-driven algorithms more energy-efficient. One of the main advantages of this architecture is the efficient performance of vector ...

2023

2022 roadmap on neuromorphic computing and engineering

Srikanth Ramaswamy, Carlo Ricciardi, Elisa Donati, Yihwa Kim, Silvia Tolu, Xuan Li, Abu Sebastian, Emre Neftci, Roberto Galeazzi

Modern computation based on von Neumann architecture is now a mature cutting-edge science. In the von Neumann architecture, processing and memory units are implemented as separate blocks interchanging data intensively and continuously. This data transfer i ...

IOP Publishing Ltd2022

Electrical control of glass-like dynamics in vanadium dioxide for data storage and processing

Elison de Nazareth Matioli, Andras Kis, Andreas Schueler, Anna Krammer, Philip Johannes Walter Moll, Guilherme Migliato Marega, Reza Soleiman Zadeh Ardebili, Mohammad Samizadeh Nikooytabalvandani

Metal–oxide–semiconductor junctions are the building blocks of modern electronics and can provide a variety of functionalities, from memory to computing. The technology, however, faces constraints in terms of further miniaturization and compatibility with ...

2022

Exploring negative capacitance and neuromorphic devices based on CMOS-compatible ferroelectric HfO2

Carlotta Gastaldi

Ferroelectric materials are explored for numerous applications thanks to their properties associated with electrically switchable spontaneous polarization. Perovskites are an established class of ferroelectrics used for sensors and actuators. However, they ...

EPFL2022

Biosensors for Bimolecular Computing: a Review and Future Perspectives

Sandro Carrara, Danilo Demarchi, Simone Aiassa

Biomolecular computing is the field of engineering where computation, storage, communication, and coding are obtained by exploiting interactions between biomolecules, especially DNA, RNA, and enzymes. They are a promising solution in a long-term vision, br ...

SPRINGER2020

Logic-in-memory based on an atomically thin semiconductor

Aleksandra Radenovic, Andras Kis, Mukesh Kumar Tripathi, Ahmet Avsar, Yanfei Zhao, Guilherme Migliato Marega, Zhenyu Wang

The growing importance of applications based on machine learning is driving the need to develop dedicated, energy-efficient electronic hardware. Compared with von Neumann architectures, which have separate processing and storage units, brain-inspired in-me ...

2020

Blade: An in-Cache Computing Architecture for Edge Devices

David Atienza Alonso, Marina Zapater Sancho, Alexandre Sébastien Julien Levisse, Marco Antonio Rios, William Andrew Simon, Yasir Mahmood Qureshi

Area and power constrained edge devices are increasingly utilized to perform compute intensive workloads, necessitating increasingly area and power efficient accelerators. In this context, in-SRAM computing performs hundreds of parallel operations on spati ...

2020

Analog Control of Retainable Resistance Multistates in HfO2 Resistive-Switching Random Access Memories (ReRAMs)

Elmira Shahrabi, Yusuf Leblebici, Jury Sandrini, Carlo Ricciardi, Cecilia Giovinazzo, Oguz Tolga Celik

Resistive-switching random access memory (ReRAM) technologies are nowadays a good candidate to overcome the bottleneck of Von Neumann architectures, taking advantage of their logic-in-memory capability and the ability to mimic biological synapse behavior. ...

AMER CHEMICAL SOC2019

Fabrication, Characterization and Integration of Resistive Random Access Memories

Jury Sandrini

The functionalities and performances of today's computing systems are increasingly dependent on the memory block. This phenomenon, also referred as the Von Neumann bottleneck, is the main motivation for the research on memory technologies. Despite CMOS tec ...

EPFL2017