SWIPE
Author:
Affiliation:
1. University of Illinois at Urbana-Champaign
Funder
Defense Advanced Research Projects Agency (DARPA)
Semiconductor Research Corporation (SRC)
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3400302.3415642
Reference21 articles.
1. High precision tuning of state for memristive devices by adaptable variation-tolerant algorithm
2. PUMA
3. TIME: A Training-in-Memory Architecture for RRAM-Based Deep Neural Networks
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1. Accelerating Polynomial Modular Multiplication with Crossbar-Based Compute-in-Memory;2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD);2023-10-28
2. DAT: Leveraging Device-Specific Noise for Efficient and Robust AI Training in ReRAM-based Systems;2023 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD);2023-09-27
3. PRIVE: Efficient RRAM Programming with Chip Verification for RRAM-based In-Memory Computing Acceleration;2023 Design, Automation & Test in Europe Conference & Exhibition (DATE);2023-04
4. Process and Runtime Variation Robustness for Spintronic-Based Neuromorphic Fabric;2022 IEEE European Test Symposium (ETS);2022-05-23
5. HERMES-Core—A 1.59-TOPS/mm2 PCM on 14-nm CMOS In-Memory Compute Core Using 300-ps/LSB Linearized CCO-Based ADCs;IEEE Journal of Solid-State Circuits;2022-04
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