2 research outputs found

    Power Efficient Data-Aware SRAM Cell for SRAM-Based FPGA Architecture

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    The design of low-power SRAM cell becomes a necessity in today\u27s FPGAs, because SRAM is a critical component in FPGA design and consumes a large fraction of the total power. The present chapter provides an overview of various factors responsible for power consumption in FPGA and discusses the design techniques of low-power SRAM-based FPGA at system level, device level, and architecture levels. Finally, the chapter proposes a data-aware dynamic SRAM cell to control the power consumption in the cell. Stack effect has been adopted in the design to reduce the leakage current. The various peripheral circuits like address decoder circuit, write/read enable circuits, and sense amplifier have been modified to implement a power-efficient SRAM-based FPGA

    Design of an Ultra-low Voltage 9T SRAM With Equalized Bitline Leakage and CAM-Assisted Energy Efficiency Improvement

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    This paper presents a 9T multi-threshold (MTCMOS) SRAM macro with equalized bitline leakage and a content-addressable-memory-assisted (CAM-assisted) write performance boosting technique for energy efficiency improvement. A 3T-based read port is proposed to equalize read bitline (RBL) leakage and to improve RBL sensing margin by eliminating data-dependence on bitline leakage current. A miniature CAM-assisted circuit is integrated to conceal the slow data development with HVT devices after data flipping in write operation and therefore enhance the write performance for energy efficiency. A 16 kb SRAM test chip is fabricated in 65 nm CMOS technology. The operating voltage of the test chip is scalable from 1.2 V down to 0.26 V with the read access time from 6 ns to 0.85 μs. Minimum energy of 2.07 pJ is achieved at 0.4 V with 40.3% improvement compared to the SRAM without the aid of the CAM. Energy efficiency is enhanced by 29.4% between 0.38 V ~ 0.6 V by the proposed CAM-assisted circuit.ASTAR (Agency for Sci., Tech. and Research, S’pore)Accepted versio
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