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Direct Imaging of Laser-driven Ultrafast Molecular Rotation
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Published on: February 4, 2017

Optical in-memory computing using laser array.

Omar Alkhazragi1

  • 1Department of Electrical Engineering, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, 31261, Saudi Arabia. omar.khazragi@kfupm.edu.sa.

Light, Science & Applications
|June 2, 2026
PubMed
Summary
This summary is machine-generated.

A novel optical in-memory computing system uses vertical-cavity surface-emitting lasers (VCSELs) to overcome computing speed limitations. This technology achieves high-speed, accurate computations, enabling efficient edge computing for autonomous systems.

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Area of Science:

  • Computer Science
  • Optical Engineering
  • Materials Science

Background:

  • The Von Neumann bottleneck limits traditional computing performance.
  • Current computing architectures struggle with the demands of AI and real-time processing.
  • Edge computing requires low-power, high-speed processing capabilities.

Purpose of the Study:

  • To develop a new optical in-memory computing system.
  • To leverage vertical-cavity surface-emitting lasers (VCSELs) for enhanced computational speed and efficiency.
  • To demonstrate a system capable of overcoming the Von Neumann bottleneck for advanced applications.

Main Methods:

  • An array of vertical-cavity surface-emitting lasers (VCSELs) was designed and implemented.
  • The system was configured for in-memory computing operations.
  • Performance was evaluated based on computational speed and accuracy.

Main Results:

  • The optical in-memory computing system demonstrated high scalability and efficiency.
  • The system achieved 900 million convolutions per second.
  • A computing accuracy of 98% was recorded.

Conclusions:

  • Optical in-memory computing using VCSEL arrays offers a viable solution to the Von Neumann bottleneck.
  • The high speed and efficiency of this system are suitable for edge computing applications.
  • This technology has significant potential for autonomous vehicles, drones, and other AI-driven edge devices.