134 citations · 222 across the 9 of their papers we have counts for
10 papers
INDUS: Effective and Efficient Language Models for Scientific Applications
Bishwaranjan Bhattacharjee, Aashka Trivedi, Masayasu Muraoka +33
Large language models (LLMs) trained on general domain corpora showed remarkable results on natural language processing (NLP) tasks. However, previous research demonstrated LLMs tr…
A Design Methodology for Post-Moore's Law Accelerators: The Case of a Photonic Neuromorphic Processor
Armin Mehrabian, Volker J. Sorger, Tarek El-Ghazawi
Over the past decade alternative technologies have gained momentum as conventional digital electronics continue to approach their limitations, due to the end of Moore's Law and Den…
Artificial Synapse with Mnemonic Functionality using GSST-based Photonic Integrated Memory
Mario Miscuglio, Jiawei Meng, Omer Yesiliurt +6
Machine-learning tasks performed by neural networks demonstrated useful capabilities for producing reliable, and repeatable intelligent decisions. Integrated photonics, leveraging…
A Winograd-based Integrated Photonics Accelerator for Convolutional Neural Networks
Armin Mehrabian, Mario Miscuglio, Yousra Alkabani +2
Neural Networks (NNs) have become the mainstream technology in the artificial intelligence (AI) renaissance over the past decade. Among different types of neural networks, convolut…
All-optical Nonlinear Activation Function for Photonic Neural Networks
Mario Miscuglio, Armin Mehrabian, Zibo Hu +5
With the recent successes of neural networks (NN) to perform machine-learning tasks, photonic-based NN designs may enable high throughput and low power neuromorphic compute paradig…
Neuromorphic photonics with electro-absorption modulators
Jonathan George, Armin Mehrabian, Rubab Amin +7
Photonic neural networks benefit from both the high channel capacity- and the wave nature of light acting as an effective weighting mechanism through linear optics. The neuron's ac…
PCNNA: A Photonic Convolutional Neural Network Accelerator
Armin Mehrabian, Yousra Al-Kabani, Volker J Sorger +1
Convolutional Neural Networks (CNN) have been the centerpiece of many applications including but not limited to computer vision, speech processing, and Natural Language Processing…
D3NOC: Dynamic Data-Driven Network On Chip in Photonic Electronic Hybrids
Armin Mehrabian, Shuai Sun, Vikram K. Narayana +2
In this paper, we present a reconfigurable hybrid Photonic-Plasmonic Network-on-Chip (NoC) based on the Dynamic Data Driven Application System (DDDAS) paradigm. In DDDAS computatio…
HyPPI NoC: Bringing Hybrid Plasmonics to an Opto-Electronic Network-on-Chip
Vikram K. Narayana, Shuai Sun, Armin Mehrabian +2
As we move towards an era of hundreds of cores, the research community has witnessed the emergence of opto-electronic network on-chip designs based on nanophotonics, in order to ac…
A Universal Multi-Hierarchy Figure-of-Merit for On-Chip Computing and Communications
Shuai Sun, Vikram K. Narayana, Armin Mehrabian +2
Continuing demands for increased compute efficiency and communication bandwidth have led to the development of novel interconnect technologies with the potential to outperform conv…