Ultra8T: A Sub-Threshold 8T SRAM with Leakage Detection
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Abstract (arXiv)
In energy-constrained scenarios such as IoT applications, the primary requirement for System-on-Chips (SoCs) is to increase battery life. However, when performing sub/near-threshold operations, the relatively large leakage current hinders Static Random Access Memory (SRAM) from normal read/write functionalities at the lowest possible voltage (VDDMIN). In this work, we propose an Ultra8T SRAM to aggressively reduce VDDMIN by using a leakage detection strategy where the safety sensing time on bitlines is quantified without any additional hardware overhead. We validate the proposed Ultra8T using a 256x64 array in 28nm CMOS technology. Post-simulations show successful read operation at 0.25V with 1.11μs read delay, and the minimum energy required is 1.69pJ at 0.4V.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 15 Jun 2023.
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Citing papers per year: 2025: 2; 2026: 1.
3 papers.
- 2025Transferable Parasitic Estimation via Graph Contrastive Learning and Label Rebalancing in AMS Circuitscited by 1
- 2025Few-shot Learning on AMS Circuits and Its Application to Parasitic Capacitance Predictioncited by 1
- 2026ParasGB: A Graph Benchmark Suite for Parasitic Estimation on AMS Circuitscited by 0
- 2026ParasGB: A Graph Benchmark Suite for Parasitic Estimation on AMS Circuits25 Jul 2026
- 2025Few-shot Learning on AMS Circuits and Its Application to Parasitic Capacitance Prediction9 Jul 2025
- 2025Transferable Parasitic Estimation via Graph Contrastive Learning and Label Rebalancing in AMS Circuits9 Jul 2025