Presentations
A Flexible and Fast PyTorch Toolkit for Simulating Training and Inference on Analog Crossbar Arrays
Presented Date:Jul 04, 05:39pm UTCPresenter(s): Malte Rasch
Design Tools for Resistive Crossbar Based Machine Learning Accelerators
Presented Date:Jul 04, 05:39pm UTCPresenter(s): Indranil Chakraborty
MNSIM-TIME: Performance Modeling Framework for Training-In-Memory Architectures
Presented Date:Jul 04, 05:39pm UTCPresenter(s): Kaizhong Qiu
NeuroSim Validation with 40nm RRAM Compute-in-Memory Macro
Presented Date:Jul 04, 05:39pm UTCPresenter(s): Anni Lu
Trends in Analog and Digital Intensive Compute-in-SRAM Designs
Presented Date:Jul 04, 05:39pm UTCPresenter(s): Rishabh Sehgal
Compute-in-RRAM with Limited On-Chip Resources
Presented Date:Jul 04, 05:39pm UTCPresenter(s): Anni Lu
MRAM-Based BER Resilient Quantized Edge-AI Networks for Harsh Industrial Conditions
Presented Date:Jul 04, 05:39pm UTCPresenter(s): Vivek Parmar
Author(s): Vivek Parmar, Manan Suri, Kazutaka Yamane, Taeyoung Lee, Nyuk Leong Chung, Vinayak Bharat Naik
uPIM: Performance-Aware Online Learning Capable Processing-in-Memory
Presented Date:Jul 04, 05:39pm UTCPresenter(s): Sathwika Bavikadi
Chairs
Chair(s)
Display Name
Shimeng Yu
- Affiliation
-
AffiliationGeorgia Institute of Technology
- Country
Display Name
Debjyoti Bhattacharjee
- Affiliation
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AffiliationIMEC
- Country