Fast gate-level simulation and power analysis for high performance microprocessor

Author(s):  
Yiwei Zhang ◽  
Ge Zhang
2019 ◽  
Vol 29 (06) ◽  
pp. 2050097
Author(s):  
Ghobad Zarrinchian ◽  
Morteza Saheb Zamani

Differential Power Analysis (DPA) attacks are known as viable and practical techniques to break the security of cryptographic algorithms. In this type of attack, an adversary extracts the encryption key based on the correlation of consumed power of the hardware running encryption algorithms to the processed data. To address DPA attacks in the hardware layer, various techniques have been proposed thus far. However, current techniques generally impose high performance overhead. Especially, the power overhead is a serious issue which may limit the applicability of current techniques in power-constrained applications. In this paper, combinational counters are explored as a way to address the DPA attacks. By randomizing the consumed power in each clock cycle of the circuit operation, these counters can enhance the resistance of the cryptographic cores against DPA attacks with low power overhead as well as zero timing overhead. Experimental results for an AES S-Box module in 45[Formula: see text]nm technology reveal that the proposed technique is capable of achieving higher level of security in comparison to two other approaches while preserving the power and performance overhead at a same or lower level.


2009 ◽  
Vol 5 (1) ◽  
pp. 70-76 ◽  
Author(s):  
Howard Chen ◽  
Scott Neely ◽  
Jinjun Xiong ◽  
Vladimir Zolotov ◽  
Chandu Visweswariah

2013 ◽  
Vol 3 (1) ◽  
pp. 1-16
Author(s):  
Joseph Issa

AbstractPerformance and power consumption analysis and characterization for computational benchmarks is important for processor designers and benchmark developers. In this paper, we characterize and analyze different High Performance Computing workloads. We analyze benchmarks characteristics and behavior on various processors and propose a performance estimation analytical model to predict performance for different processor microarchitecture parameters. Performance model is verified to predict performance within <5% error margin between estimated and measured data for different processors. We also propose a power estimation analytical model to estimate power consumption with low error deviation.


2009 ◽  
Vol 31 (5) ◽  
pp. 827-834
Author(s):  
Yuan-Man TONG ◽  
Zhi-Ying WANG ◽  
Kui DAI ◽  
Hong-Yi LU ◽  
Wei SHI

2018 ◽  
Vol 7 (3.1) ◽  
pp. 101
Author(s):  
B Kaleeswari ◽  
S Kaja Mohideen

In modern VLSI designs, static random access memory plays a vital role because of its high performance and low power consumption qualities. As technology is scale down, the importance of the power analysis and leakage current of memory design is increasing. This paper describes about the 1 KB size memory design using SRAM. The proposed design of 8T SRAM single cell in implemented in array structure of size 32x32.The design structure reduces the power by 75% by reducing the leakage current. The proposed 8T SRAM cell is implemented and analyzed in 90nm technology using Digital schematic and Micro wind software. 


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