134 citations · 364 across the 21 of their papers we have counts for
22 papers
Reconfigurable Application-Specific Photonic Integrated Circuit for solving Partial Differential Equations
Chen Shen, Nicola Peserico, Jiawei Meng +7
Solving mathematical equations faster and more efficiently has been a Holy Grail for centuries for scientists and engineers across all disciplines. While electronic digital circuit…
Analog Computing with Metatronic Circuits
Mario Miscuglio, Yaliang Gui, Xiaoxuan Ma +5
Analog photonic solutions offer unique opportunities to address complex computational tasks with unprecedented performance in terms of energy dissipation and speeds, overcoming cur…
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…
OE-CAM: A Hybrid Opto-Electronic Content Addressable Memory
Yousra Alkabani, Mario Miscuglio, Volker J. Sorger +1
A content addressable memory (CAM) is a type of memory that implements a parallel search engine at its core. A CAM takes as an input a value and outputs the address where this valu…
Induced Homomorphism Kirchhoffs Law in Photonics
Shuai Sun, Mario Miscuglio, Xiaoxuan Ma +6
When solving, modelling or reasoning about complex problems, it is usually convenient to use the knowledge of a parallel physical system for representing it. This is the case of lu…
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…
ITO-based Electro-absorption Modulator for Photonic Neural Activation Function
Rubab Amin, Jonathan George, Shuai Sun +8
Recently integrated optics has become an intriguing platform for implementing machine learning algorithms and inparticular neural networks. Integrated photonic circuits can straigh…
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…
Adaptive Mesh Refinement in Analog Mesh Computers
Jeff Anderson, Engin Kayraklioglu, Volker Sorger +1
The call for efficient computer architectures has introduced a variety of application-specific compute engines to the heterogeneous computing landscape. One particular engine, the…
Energy-Quality Scaling in Analog Mesh Computers
Jeff Anderson, Engin Kayraklioglu, Vikram Narayana +2
The recent push for post-Moore computer architectures has introduced a wide variety of application-specific accelerators. One particular accelerator, the resistance network analogu…
MODetector (MOD): A Dual-Functional Optical Modulator-Detector for On-Chip Communication
Shuai Sun, Ruoyu Zhang, Jiaxin Peng +4
Physical challenges at the device and interconnect level limit both network and computing energy efficiency. While photonics is being considered to address interconnect bottlenecks…
Integrated Nanophotonics Architecture for Residue Number System Arithmetic
Jiaxin Peng, Shuai Sun, Vikram K. Narayana +2
Residue number system (RNS) enables dimensionality reduction of an arithmetic problem by representing a large number as a set of smaller integers, where the number is decomposed by…
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…
Hybrid Photonic-Plasmonic Non-blocking Broadband 5x5 Router for Optical Networks
Shuai Sun, Vikram K. Narayana, Ibrahim Sarpkaya +5
Photonic data routing in optical networks overcomes the limitations of electronic routers with respect to data rate, latency, and energy consumption while suffering from dynamic po…
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…
MorphoNoC: Exploring the Design Space of a Configurable Hybrid NoC using Nanophotonics
Vikram K. Narayana, Shuai Sun, Abdel-Hameed A. Badawy +2
As diminishing feature sizes drive down the energy for computations, the power budget for on-chip communication is steadily rising. Furthermore, the increasing number of cores is p…
Moore's Law in CLEAR Light
Shuai Sun, Vikram K. Narayana, Tarek El-Ghazawi +1
The inability of Moore's Law and other figure-of-merits (FOMs) to accurately explain the technology development of the semiconductor industry demands a holistic merit to guide the…
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…
Reordering GPU Kernel Launches to Enable Efficient Concurrent Execution
Teng Li, Vikram K. Narayana, Tarek El-Ghazawi
Contemporary GPUs allow concurrent execution of small computational kernels in order to prevent idling of GPU resources. Despite the potential concurrency between independent kerne…
Efficient Resource Sharing Through GPU Virtualization on Accelerated High Performance Computing Systems
Teng Li, Vikram K. Narayana, Tarek El-Ghazawi
The High Performance Computing (HPC) field is witnessing a widespread adoption of Graphics Processing Units (GPUs) as co-processors for conventional homogeneous clusters. The adopt…
Hardware Support for Address Mapping in PGAS Languages; a UPC Case Study
Olivier Serres, Abdullah Kayi, Ahmad Anbar +1
The Partitioned Global Address Space (PGAS) programming model strikes a balance between the locality-aware, but explicit, message-passing model and the easy-to-use, but locality-ag…