Abstract
This work presents a 1966.9-TOPS/W 2.09%-RMSE digital computing-in-memory (CIM) macro named PADCIM. It has three key features: 1) Probabilistic approximate adder tree (PAAT) coupled with delay clock chain, achieve high energy efficiency and low RMSE while resolving slope deviation. 2) Full dynamic-logic computing circuits (FDCC) combined with NP-Domino cascading, reduce chip power and area. 3) XOR-based multi-bit computation scheme (XMCS) integrated with bias-error compensation, enable accurate binary and multi-bit computations. Fabricated in 40 nm technology, PADCIM demonstrates 1.12 × higher energy efficiency and 1.92 × lower RMSE than the SOTA ADCIM. It further achieves up to 1.70 × higher energy efficiency over 28 nm / 12 nm-nodes chips, while delivering 87.56% (1b/1b) and 91.19% (4b/1b) inference accuracy on CIFAR-10.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 51st IEEE European Solid-State Electronics Research Conference, ESSERC 2025 |
| Publisher | IEEE Computer Society |
| Pages | 429-432 |
| Number of pages | 4 |
| ISBN (Electronic) | 9798331525392 |
| DOIs | |
| State | Published - 2025 |
| Event | 51st IEEE European Solid-State Electronics Research Conference, ESSERC 2025 - Munich, Germany Duration: 8 Sep 2025 → 11 Sep 2025 |
Publication series
| Name | European Solid-State Circuits Conference |
|---|---|
| ISSN (Print) | 1930-8833 |
Conference
| Conference | 51st IEEE European Solid-State Electronics Research Conference, ESSERC 2025 |
|---|---|
| Country/Territory | Germany |
| City | Munich |
| Period | 8/09/25 → 11/09/25 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Digital computing-in-memory
- full dynamic-logic
- multi-bit computation
- probabilistic approximate
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