W06 SCONA: Stochastic COmputing for Neuromorphic Architectures
The workshop invites submissions on, but not limited to, the following topics:
- 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.
SCONA 2020 Technical Program
Friday, March 13, 2020, ALPEXPO Grenoble
W06.1 Workshop introduction
W06.1.1 Workshop introduction
W06.1.2 Keynote: Stochastic Computing for Signal Processing and Machine Learning
CB Coffee break
W06.2 Stochastic Approaches for Artificial Intelligence
W06.2.1 PASCA: PArallel Stochastic Computing based Neural Network Accelerators
Speaker: Runsheng Wang, Peking University, China
W06.2.2 Tsetlin Machine: A New Paradigm for Pervasive AI
Authors: Adrian Wheeldon1, Rishad Shafik1, Alex Yakovlev1, Jonathan Edwards1, Ibrahim Haddadi1, Ole-Christoffer Granmo2, 1Newcastle University, UK. 2University of Agder, Norway.
W06.2.3 Panel discussion
LB Lunch
W06.3 Emerging Architectures for Stochastic Computing
W06.3.1 Introduction to Dynamic Stochastic Computing
Speaker: Siting Liu, Jie Han, University of Alberta, Canada
W06.3.2 From Unary to Low-Discrepancy: Deterministic Bit-streams Revolutionize Stochastic Computing
Speaker: Hassan Najafi, University of Lousiana in Lafayette, USA
W06.3.3 Panel discussion
CB Coffee break
W06.4 Nanotechnology for Stochastic Computing
W06.4.1 TBD
Speaker: Kaushik Roy, Purdue University, USA
W06.4.2 Stochastic learning in CMOS integrated HfO2 based memristive arrays
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