Cited by 1Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance DevicesAnalog and Mixed-Signal Circuit Design

Gradient descent-based programming of analog in-memory computing cores

Büchel, Julian, Sebastian, Abu, Kersting, Benedikt, Odermatt, Frederic, Brew, Kevin, Ok, Injo, Choi, Sam, Vasilopoulos, Athanasios +6 more·2023·Proceedings of the Neuromorphic Materials, Devices, Circuits and Systems

Abstract

Gradient descent-based programming of analog in-memory computing coresJulian Büchel a, Athanasios Vasilopoulos a, Benedikt Kersting a, Frederic Odermatt a, Kevin Brew b, Injo Ok b, Sam Choi b, Iqbal Saraf b, Victor Chan b, Timothy Philip b, Nicole Saulnier b, Vijay Narayanan c, Manuel Le-Gallo Bourdeau a, Abu Sebastian aa IBM Research Europe – Zurich, Säumerstrasse 4, Ruschlikon, Switzerlandb IBM Research Albany, NY, USAc IBM Research Yorktown Heights, NY, USAProceedings of Neuromorphic Materials, Devices, Circuits and Systems (NeuMatDeCaS)València, Spain, 2023 January 23rd - 25thOrganizers: Rohit Abraham John, Irem Boybat, Jason Eshraghian and Simone FabianoContributed talk, Julian Büchel, presentation 031DOI: https://doi.org/10.29363/nanoge.neumatdecas.2023.031Publication date: 9th January 2023The precise programming of crossbar arrays of unit cells is crucial for obtaining high matrix-vector-multiplication (MVM) accuracy in analog in-memory computing (AIMC) cores. We propose a radically different approach based on directly minimizing the MVM error using gradient descent with synthetic random input data. Our method significantly reduces the MVM error compared with conventional unit cell by unit cell iterative programming. It also eliminates the need for high-resolution analog-to-digital converters (ADCs) to read the small unit-cell conductance during programming. Our method improves the experimental inference accuracy of ResNet-9 implemented on two phase-change memory (PCM)-based AIMC cores by 1.26%. © FUNDACIO DE LA COMUNITAT VALENCIANA SCITOnanoGe is a prestigious brand of successful science conferences that are developed along the year in different areas of the world since 2009. Our worldwide conferences cover cutting-edge materials topics like perovskite solar cells, photovoltaics, optoelectronics, solar fuel conversion, surface science, catalysis and two-dimensional materials, among many others.nanoGe Fall MeetingnanoGe Fall Meeting (NFM) is a multiple symposia conference celebrated yearly and focused on a broad set of topics of advanced materials preparation, their fundamental properties, and their applications, in fields such as renewable energy, photovoltaics, lighting, semiconductor quantum dots, 2-D materials synthesis, charge carriers dynamics, microscopy and spectroscopy semiconductors fundamentals, etc.nanoGe Spring MeetingThis conference is a unique series of symposia focused on advanced materials preparation and fundamental properties and their applications, in fields such as renewable energy (photovoltaics, batteries), lighting, semiconductor quantum dots, 2-D materials synthesis and semiconductors fundamentals, bioimaging, etc.International Conference on Hybrid and Organic PhotovoltaicsInternational Conference on Hybrid and Organic Photovoltaics (HOPV) is celebrated yearly in May. The main topics are the development, function and modeling of materials and devices for hybrid and organic solar cells. The field is now dominated by perovskite solar cells but also other hybrid technologies, as organic solar cells, quantum dot solar cells, and dye-sensitized solar cells and their integration into devices for photoelectrochemical solar fuel production.Asia-Pacific International Conference on Perovskite, Organic Photovoltaics and OptoelectronicsThe main topics of the Asia-Pacific International Conference on Perovskite, Organic Photovoltaics and Optoelectronics (IPEROP) are discussed every year in Asia-Pacific for gathering the recent advances in the fields of material preparation, modeling and fabrication of perovskite and hybrid and organic materials. Photovoltaic devices are analyzed from fundamental physics and materials properties to a broad set of applications. The conference also covers the developments of perovskite optoelectronics, including light-emitting diodes, lasers, optical devices, nanophotonics, nonlinear optical properties, colloidal nanostructures, photophysics and light-matter coupling.International Conference on Perovskite Thin Film Photovoltaics Perovskite Photonics and OptoelectronicsThe International Conference on Perovskite Thin Film Photovoltaics Perovskite Photonics and Optoelectronics (NIPHO) is the best place to hear the latest developments in perovskite solar cells as well as on recent advances in the fields of perovskite light-emitting diodes, lasers, optical devices, nanophotonics, nonlinear optical properties, colloidal nanostructures, photophysics and light-matter coupling.

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  • Related challenges for in-memory computing are achieving higher computational precision, inherent stochastic switching of devices and their impacts on reliability, and levels of parallelism.

    “Related challenges are achieving higher computational precision [50, 51], inherent stochastic switching of devices and their impacts on reliability [52, 53], and levels of parallelism [54].”

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Authors
Büchel, J., Sebastian, A., Kersting, B., Odermatt, F., Brew, K., Ok, I., Choi, S., Vasilopoulos, A., Chan, V., Philip, T., Saulnier, N., Narayanan, V., Le-Gallo Bourdeau, M., & Saraf, I.
Affiliations
  • IBM Research - Zurich (CH)
  • IBM Research Europe – Zurich
  • IBM Research - Albany (US)
  • IBM (United States) (US)
Venue
Proceedings of the Neuromorphic Materials, Devices, Circuits and Systems
Published
2023-01-09
OpenAlex
W4318817284
Cited by
1
References
0
Citations by year
2024: 1
FWCI
0.49
Type
conference paper
Language
en
Open access
closed
Locations
Neuromorphic Materials, Devices, Circuits and Systems (NeuMatDeCaS) (publishedVersion)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Memory and Neural Computing
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Ferroelectric and Negative Capacitance Devices
  • Physical Sciences › Engineering › Biomedical Engineering › Analog and Mixed-Signal Circuit Design
Keywords
analog in-memory computing, crossbar arrays, matrix-vector multiplication, phase-change memory, analog-to-digital converter elimination, neuromorphic hardware, neuromorphic computing

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