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Energy-efficient Raman amplifier for edge computing

The RAMAN accelerator is designed to leverage data and weight sparsity to deploy deep neural networks at the edge, ensuring low power consumption, minimal storage requirements, and reduced processing ...

Oct 09, 2025

A Hybrid Edge Classifier: Combining TinyML-Optimised CNN with

In this work, we are showcasing a mixed-signal approach in designing an energy efficient edge classifier by integrating optimised DNN techniques with ACAM-based pattern matching.

Jul 13, 2026

A RRAM-based FPGA for Energy-efficient Edge Computing

The shift from centralized cloud to edge computing demands hardware systems with data processing capability at ultra-low power. Reconfigurable solutions such as Field-Programmable Gate Arrays

Nov 14, 2025

Highly Efficient Micro-Joule All-Fiber Ultrafast Raman Amplifier at

We report a high-efficiency, high-energy, all-fiber, polarization maintaining, ultrafast Raman amplifier. The Raman laser consists of a ps pump seed and two pump/Raman fiber

Jan 10, 2026

Raman Amplification

Raman amplification refers to a distributed amplification technology that utilizes stimulated Raman scattering within optical fibers to transfer energy from higher-frequency pump signals to lower

Sep 07, 2025

On EDFA and Raman Fiber Amplifier Energy Efficiency

Abstract: We compare the energy efficiency of Distributed Raman Amplifiers (DRFA) and Erbium-Doped Fiber Amplifiers (EDFA) used in long-haul transmission systems.

Nov 15, 2025

Enhanced gain Raman amplifiers using different pumping schemes

Raman amplifiers (RAs) can be represented as one of the best solutions for transmission techniques, where they can compensate attenuation and transmit the optical signal to long-haul

Jun 07, 2026

Neural Signal Compression using RAMAN tinyML Accelerator for BCI

The CAE encoder section is implemented on RAMAN, an energy-efficient tinyML accelerator designed for edge computing. RAMAN leverages sparsity in activation and weights through zero skipping,

Mar 08, 2026

RAMAN: An AI Co-Processor for Edge Computing –

The RAMAN accelerator is designed to leverage data and weight sparsity to deploy deep neural networks at the edge, ensuring low power

Feb 27, 2026

(PDF) RAMAN: A Re-configurable and Sparse tinyML

In this paper, we present RAMAN, a Re-configurable and spArse tinyML Accelerator for infereNce on edge, architected to exploit the sparsity to

Sep 15, 2025

A Comprehensive Review on Amplification of Laser

Although a better overall energy transfer between pump and seed has been attained with SBS, the experimentally demonstrated Raman amplifier

Jul 03, 2026

An Efficient Diamond Raman Amplification Scheme Based on

This work not only elucidates the dynamic temporal coupling between Stokes and fundamental pulses in Raman amplification but also offers a structural framework for the

Aug 07, 2025

Optimized design of Raman fiber amplifier based on improving

An efficient method to design the broadband gain-flattened Raman fiber amplifier (RFA) with multiple pumps is proposed based on a Extreme learning machine optimized by the salp swarm

Jan 31, 2026

New criteria for efficient Raman and Brillouin amplification of laser

Second, the main quantity of merit for a Raman laser amplifier should be the absolute power or energy of the amplified seed pulse 6.

Aug 21, 2025

Flexible Raman Amplifier Optimization Based on Machine Learning

Abstract—The problem of Raman amplifier optimization is studied. A differentiable interpolation function is obtained for the Raman gain coefficient using machine learning (ML), which allows for the gradient

Sep 28, 2025

Performance optimization of different Raman amplifier configurations

The Raman amplifier, using three diferent pumping configurations, is designed and inves-tigated for 50 × 100 Gbps DWDM system at channel spacing of 0.8 nm. System operates at an optimum input power

Jul 29, 2025

Energy-Efficient Edge Detection using Approximate Ramanujan Sums

This paper proposes for the first time an approximate computing based energy-efficient hardware accelerator using Ramanujan Sums for edge detection applications.

Aug 07, 2025

[2306.06493] RAMAN: A Re-configurable and Sparse tinyML

Deep Neural Network (DNN) based inference at the edge is challenging as these compute and data-intensive algorithms need to be implemented at low cost and low power while

Mar 23, 2026

RAMAN: A Reconfigurable and Sparse tinyML Accelerator for

In this article, we present RAMAN, a Re-configurable and spArse tinyML Accelerator for infereNce on edge, architected to exploit the sparsity to reduce area (storage), power, as well as latency.

May 06, 2026

Performance optimization of different Raman amplifier configurations

Pump powers of the Raman amplifier are selected using multiparameter optimization algorithm to achieve maximum gain with small ripple. The effects of varying input powers on gain,

Aug 18, 2025

Raman Amplification Optimization in Short-Reach High Data Rate

For a short-reach metro network or DCI application with high-data-rate transceivers, the distributed Raman amplifier delivered the best transmission performance, compared with any other amplification

Apr 11, 2026

An Efficient Diamond Raman Amplification Scheme Based on

Both simulations and experiments revealed an adaptive temporal synchronization phenomenon, in which the Stokes pulse spontaneously drifts toward the pump peak, thereby

Jul 09, 2026

RAMAN – NeuRonICS Lab

As a result, there is a growing interest in deploying DNNs directly on edge devices to leverage benefits such as privacy, bandwidth savings, and reduced latency.

Mar 26, 2026

New criteria for efficient Raman and Brillouin amplification

In this paper, we reveal novel non-linear criteria for the initial seed pulse that will finally open the door to efficient Raman and Brillouin amplification to petawatt powers and Joule-level

Jun 30, 2026

Raman Amplifier

Raman amplification is an alternative amplification technology and has been increasingly implemented in long-haul system. The Raman amplifier is different from the EDFA in that it is a distributed

Aug 29, 2025

Enabling Energy-Efficient In-Memory Computing With Robust Assist

With the increasing gap between processing speed and memory bandwidth necessity for in/near-memory computing has emerged, to ensure high-performance, energy-efficient computing for

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