Patents by Inventor Cansu Demirkiran

Cansu Demirkiran has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20220229634
    Abstract: A photonic processor uses light signals and a residue number system (RNS) to perform calculations. The processor sums two or more values by shifting the phase of a light signal with phase shifters and reading out the summed phase with a coherent detector. Because phase winds back every 2? radians, the photonic processor performs addition modulo 2?. A photonic processor may use the summation of phases to perform dot products and correct erroneous residues. A photonic processor may use the RNS in combination with a positional number system (PNS) to extend the numerical range of the photonic processor, which may be used to accelerate homomorphic encryption (HE)-based deep learning.
    Type: Application
    Filed: December 6, 2021
    Publication date: July 21, 2022
    Applicant: Lightmatter, Inc.
    Inventors: Eric Hein, Ayon Basumallik, Nicholas C. Harris, Darius Bunandar, Cansu Demirkiran
  • Publication number: 20220156469
    Abstract: Parallelization and pipelining techniques that can be applied to multi-core analog accelerators are described. The techniques descried herein improve performance of matrix multiplication (e.g., tensor-tensor multiplication, matrix-matrix multiplication or matrix-vector multiplication). The parallelization and pipelining techniques developed by the inventors and described herein focus on maintaining a high utilization of the processing cores. A representative processing systemin includes an analog accelerator, a digital processor, and a controller. The controller is configured to control the analog accelerator to output data using linear operations and to control the digital processor to perform non-linear operations based on the output data.
    Type: Application
    Filed: November 15, 2021
    Publication date: May 19, 2022
    Applicant: Lightmatter, Inc.
    Inventors: Gongyu Wang, Cansu Demirkiran, Nicholas Moore, Ayon Basumallik, Darius Bunandar
  • Publication number: 20220147280
    Abstract: Aspects of the present disclosure are directed to an efficient data transfer strategy in which data transfer is scheduled based on a prediction of the internal memory utilization due to computational workload throughout its runtime. According to one aspect, the DMA transfer may be performed opportunistically: whenever internal buffer memory is available and the additional internal memory usage due to DMA transfer isn't interfering with the processor's ability to complete the workload. In some embodiments, an opportunistic transfer schedule may be found by solving an optimization problem.
    Type: Application
    Filed: November 9, 2021
    Publication date: May 12, 2022
    Applicant: Lightmatter, Inc.
    Inventors: Darius Bunandar, Cansu Demirkiran, Gongyu Wang, Nicholas Moore, Ayon Basumallik