Accelerating the development of secure and reliable photonic and electronic systems

Simulation frameworks are indispensable in modern hardware and computing systems development, enabling researchers to evaluate and optimize complex architectures before physical implementation. These tools facilitate detailed modeling of hardwarecomponents, interactions, and performance under various workloads – a broad exploration of the hardware and the software design space. For emerging technologies like photonic accelerators, which promise significant speed and energy efficiencyimprovements, simulation offers a controlled environment to analyze designs and refine them for real-world applications before expensive physical design takes place. Photonic neural networks (PNNs) are particularly well-suited for simulation-basedresearch. As these systems integrate novel photonic devices with conventional electronic components like CPUs and memory systems, their design presents unique challenges. Simulations can bridge this gap, enabling the exploration of trade-offs between speed, energy efficiency, reliability, and security in edge computing and other scenarios. Frameworks like gem5, a microarchitecture-level simulator, support such investigations by providing modular environments for configuring and testing system architectures.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-20
DOI
https://doi.org/10.5281/zenodo.14654899
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Accelerating the development of secure and reliable photonic and electronic systems

Zenodo (CERN European Organization for Nuclear Research)
Neural Networks and Reservoir Computing
article

Accelerating the development of secure and reliable photonic and electronic systems

article en

Abstract

Simulation frameworks are indispensable in modern hardware and computing systems development, enabling researchers to evaluate and optimize complex architectures before physical implementation. These tools facilitate detailed modeling of hardwarecomponents, interactions, and performance under various workloads – a broad exploration of the hardware and the software design space. For emerging technologies like photonic accelerators, which promise significant speed and energy efficiencyimprovements, simulation offers a controlled environment to analyze designs and refine them for real-world applications before expensive physical design takes place. Photonic neural networks (PNNs) are particularly well-suited for simulation-basedresearch. As these systems integrate novel photonic devices with conventional electronic components like CPUs and memory systems, their design presents unique challenges. Simulations can bridge this gap, enabling the exploration of trade-offs between speed, energy efficiency, reliability, and security in edge computing and other scenarios. Frameworks like gem5, a microarchitecture-level simulator, support such investigations by providing modular environments for configuring and testing system architectures.

Zenodo (CERN European Organization for Nuclear Research)
National and Kapodistrian University of Athens (GR)
Affordable and clean energy
Openalex Percentile: Top 65%
Neural Networks and Reservoir Computing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.