W06 SCONA: Stochastic COmputing for Neuromorphic Architectures

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Important Dates
Submission Deadline
Notification Deadline
Room
Autrans 1
Organiser
Ilia Polian, University of Stuttgart, Germany
Organiser
John P. Hayes, University of Michigan, Ann Arbor, United States
Organiser
Weikang Qian, Shanghai Jiao Tong University, China
URL
Workshop's Website

The workshop's topics include, but not limited to, the following:

  • Stochastic primitives for neural networks and other neuromorphic architectures
  • Neuromorphic hardware architectures based on stochastic computing
  • Methods for design, synthesis, analysis, and verification of stochastic circuits
  • Stochastic circuits and architectures based on emerging technologies
  • Applications of neuromorphic stochastic architectures and case studies

The workshop will be co-located with the DATE 2020 conference. At least one author of each accepted paper is expected to register using DATE’s regular registration system. DATE workshops have no formal proceedings but SCONA will prepare an informal electronic proceedings distributed to the workshop participants.

A special issue of IEEE Design & Test Magazine on the topic of the workshop will appear. There will be a separate call for papers for this special issue; the preliminary deadline is May 1.

SCONA 2020 Technical Program

Friday, March 13, 2020, ALPEXPO Grenoble

W06.1 Workshop introduction

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Presentations

W06.1.1 Workshop introduction

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W06.1.2 Keynote: Stochastic Computing for Machine Learning towards an Intelligent Edge

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CB Coffee break

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W06.2 Stochastic Approaches for Artificial Intelligence

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W06.2.1 PASCA: PArallel Stochastic Computing based Neural Network Accelerators

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Speaker: Runsheng Wang, Peking University, China

W06.2.2 Tsetlin Machine: A New Paradigm for Pervasive AI

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Authors: Adrian Wheeldon1, Rishad Shafik1, Alex Yakovlev1, Jonathan Edwards1, Ibrahim Haddadi1, Ole-Christoffer Granmo2, 1Newcastle University, UK, 2University of Agder, Norway.

W06.2.3 Stochastic Neural Networks: Approaches and New Challenges

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Speaker: Florian Neugebauer, University of Stuttgart, Germany

LB Lunch

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W06.3 Emerging Architectures for Stochastic Computing

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W06.3.1 Introduction to Dynamic Stochastic Computing

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Speaker: Siting Liu, Jie Han, University of Alberta, Canada

W06.3.2 From Unary to Low-Discrepancy: Deterministic Bit-streams Revolutionize Stochastic Computing

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Speaker: Hassan Najafi, University of Lousiana in Lafayette, USA

W06.3.3 On the Simulation of Software-Driven Stochastic Computing for Emerging Applications

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Authors: Sercan Aygun1,2, Ece Olcay Gunes2, 1Yildiz Technical University, Turkey, 2Istanbul Technical University, Turkey

CB Coffee break

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W06.4 Nanotechnology for Stochastic Computing

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W06.4.1 Stochastic magnetic devices for cognitive computing

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Speaker: Kaushik Roy, Purdue University, USA

W06.4.2 Stochastic learning in CMOS integrated HfO2 based memristive arrays

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Authors: F. Zahari1, M. K. Mahadevaiah2, E. Perez2, E. Perez-Bosch Quesada2, H. Kohlstedt1, Ch. Wenger2,3, M. Ziegler4, 1Kiel University, Germany, 2IHP, Germany, 3Brandenburg Medical School Theodor Fontane, Germany 4TU Ilmenau, Germany

W06.4.3 Unary Computing Meets ReRAM Crossbar: A Novel Solution for Reliable ReRAM-based Neuromorphic Computing

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Speaker: Weikang Qian, Shanghai Jiao Tong University, Shanghai, China