Leakage power estimation and minimization in configurable logic block of FPGA

Author(s):  
A. K. Kureshi ◽  
Mohd. Hasan
2018 ◽  
Vol 1 (4) ◽  
Author(s):  
Hadi Jahanirad ◽  
Hanieh Karam

FPGA chips have wide applications in nowadays digital systems. Because of fault prone nature of FPGA chips, testing of them is one of the major challenges for designers. Among various test methods, the Built-in Self-Test (BIST) based ones have shown good performance. In this paper, we presented a BIST-based approach to test LUTs as most vulnerable part of FPGA chip. The BIST-based approach is off-line and has been accomplished within two FPGA configurations. Each configurable logic block (CLB) can be tested independently and there is no handshaking among various CLBs' BIST cores. The proposed BIST architecture has been simulated in HSPICE based on 45-nm CMOS technology. Simulation results shown 100% coverage for single stuck at faults along with 19% area overhead due to additional BIST hardware and 25% increase in leakage power.


2021 ◽  
Vol 143 (3) ◽  
Author(s):  
Yuanchen Hu ◽  
Md Obaidul Hossen ◽  
Zhimin Wan ◽  
Muhannad S. Bakir ◽  
Yogendra Joshi

Abstract Three-dimensional (3D) stacked integrated circuit (SIC) chips are one of the most promising technologies to achieve compact, high-performance, and energy-efficient architectures. However, they face a heat dissipation bottleneck due to the increased volumetric heat generation and reduced surface area. Previous work demonstrated that pin-fin enhanced microgap cooling, which provides fluidic cooling between layers could potentially address the heat dissipation challenge. In this paper, a compact multitier pin-fin single-phase liquid cooling model has been established for both steady-state and transient conditions. The model considers heat transfer between layers via pin-fins, as well as the convective heat removal in each tier. Spatially and temporally varying heat flux distribution, or power map, in each tier can be modeled. The cooling fluid can have different pumping power and directions for each tier. The model predictions are compared with detailed simulations using computational fluid dynamics/heat transfer (CFD/HT). The compact model is found to run 120–600 times faster than the CFD/HT model, while providing acceptable accuracy. Actual leakage power estimation is performed in this codesign model, which is an important contribution for codesign of 3D-SICs. For the simulated cases, temperatures could decrease 3% when leakage power estimation is adopted. This model could be used as electrical-thermal codesign tool to optimize thermal management and reduce leakage power.


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