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Related Concept Videos

Parallel Processing01:20

Parallel Processing

The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
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For the first part of the problem,...
Parallel-axis Theorem01:06

Parallel-axis Theorem

The parallel-axis theorem provides a convenient and quick method of finding the moment of inertia of an object about an axis parallel to the axis passing through its center of mass. Consider a thin rod as an example. There is a striking similarity between the process of finding the moment of inertia of a thin rod about an axis through its middle, where the center of mass lies, and about an axis through its end using the conventional method. In the conventional method, the concept of linear mass...

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Updated: Jun 7, 2026

Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform
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Published on: August 2, 2019

Scalable optical hypercube-based interconnection network for massively parallel computing.

A Louri, H Sung

    Applied Optics
    |October 22, 2010
    PubMed
    Summary
    This summary is machine-generated.

    We introduce the optical multimesh hypercube (OMMH), a novel network for parallel computing. This modular and scalable optical interconnection network enhances performance and supports future hardware evolution.

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    Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform
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    Published on: August 2, 2019

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    Published on: September 8, 2023

    Area of Science:

    • Computer Science
    • Optical Engineering
    • Network Architecture

    Background:

    • Scalability (size and time) and modularity are critical for massively parallel computer networks.
    • Limitations in these parameters hinder the adoption of certain interconnection networks.
    • Existing networks often lack the flexibility for evolving processing elements and expanding system size.

    Purpose of the Study:

    • To present a new modular optical interconnection network, the optical multimesh hypercube (OMMH).
    • To demonstrate that the OMMH is both size and time scalable.
    • To detail a novel three-dimensional optical implementation of the OMMH network.

    Main Methods:

    • Combining hypercube and torus network features into the OMMH architecture.
    • Utilizing free-space optics for compact hypercube modules.
    • Employing multiwavelength optical fibers for torus connections between modules.
    • Analyzing optical feasibility regarding physical size and power budget.

    Main Results:

    • The OMMH network integrates the benefits of hypercubes (e.g., low diameter, high connectivity) and torus networks (e.g., constant node degree, size scalability).
    • A three-dimensional optical implementation is proposed, leveraging free-space and fiber optics.
    • The proposed implementation is shown to be optically feasible.

    Conclusions:

    • The OMMH offers a scalable and modular solution for massively parallel computing.
    • The hybrid optical implementation effectively utilizes advanced optical technologies.
    • This network design addresses key limitations in current interconnection networks.