Application of ameliorated Harris Hawks optimizer for designing of low-power signed floating-point MAC architecture

Sarma, Rajkumar; Bhargava, Cherry; Jain, Shruti; Kamboj, Vikram Kumar

doi:10.1007/s00521-020-05637-5

Cited by 6 publications

(5 citation statements)

References 66 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A total of thirteen benchmark functions are used to compare the performances with chaotic arithmetic optimization algorithm (CAOA, [38]), Dwarf mongoose optimization algorithm (DMO, [39]), Pausing particle swarm optimization (PPSO, [40]), Hybrid Harris Hawks optimizer and parti-cle swarm optimization (HHO-PSO, [41]), Hybrid Harris Hawks optimizer and grey wolf optimizer (HHO-GWO, [42]), Hybrid Harris Hawks optimizer and sine cosine algorithm (HHO-SCA, [43]). This experiment is fixed on the population of 50.…”

Section: Comparison With the Advanced Variantsmentioning

confidence: 99%

A Novel Variant of the Salp Swarm Algorithm for Engineering Optimization

Jia¹,

Luo

Yin

et al. 2023

Journal of Artificial Intelligence and Soft Computing Research

View full text Add to dashboard Cite

There are many design problems need to be optimized in various fields of engineering, and most of them belong to the NP-hard problem. The meta-heuristic algorithm is one kind of optimization method and provides an effective way to solve the NP-hard problem. Salp swarm algorithm (SSA) is a nature-inspired algorithm that mimics and mathematically models the behavior of slap swarm in nature. However, similar to most of the meta-heuristic algorithms, the traditional SSA has some shortcomings, such as entrapment in local optima. In this paper, the three main strategies are adopted to strengthen the basic SSA, including chaos theory, sine-cosine mechanism and the principle of quantum computation. Therefore, the SSA variant is proposed in this research, namely SCQ-SSA. The representative benchmark functions are employed to test the performances of the algorithms. The SCQ-SSA are compared with the seven algorithms in high-dimensional functions (1000 dimensions), seven SSA variants and six advanced variants on benchmark functions, the experiment reveals that the SCQ-SSA enhances resulting precision and alleviates local optimal problems. Besides, the SCQ-SSA is applied to resolve three classical engineering problems: tubular column design problem, tension/compression spring design problem and pressure vessel design problem. The design results indicate that these engineering problems are optimized with high accuracy and superiority by the improved SSA. The source code is available in the URL: https://github.com/ye-zero/SCQSSA/tree/main/SCQ-SSA.

show abstract

Section: Comparison With the Advanced Variantsmentioning

confidence: 99%

A Novel Variant of the Salp Swarm Algorithm for Engineering Optimization

Jia¹,

Luo

Yin

et al. 2023

Journal of Artificial Intelligence and Soft Computing Research

View full text Add to dashboard Cite

show abstract

“…The digital circuits are best in the middle between the analog input and output circuits (i.e., filtering and waveshaping via digital signal processing). With the invention of IC, the operational amplifier (op-amp) has functioned as the building block in analog circuit design [4]. In the area of analog signal processing, a significant quantity of literature has been dedicated to the awareness of a selection of active devices.…”

Section: Introductionmentioning

confidence: 99%

“…Analog circuits like sinusoidal oscillators, voltage comparators, converters, amplifiers, etc. are circuits that cannot be used by any other digital techniques [3,4]. Analog circuit design is a voltage-controlled form of signal processing and guaranteed that the circuits should be compatible with the CMOS technology.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy System Design Using Current Amplifier for 20 nm CMOS Technology

Jain¹,

Bhargava²,

Varadarajan³

et al. 2022

Computers, Materials &Amp; Continua

Self Cite

View full text Add to dashboard Cite

In the recent decade, different researchers have performed hardware implementation for different applications covering various areas of experts. In this research paper, a novel analog design and implementation of different steps of fuzzy systems with current differencing buffered amplifier (CDBA) are proposed with a compact structure that can be used in many signal processing applications. The proposed circuits are capable of wide input current range, simple structure, and are highly linear. Different electrical parameters were compared for the proposed fuzzy system when using different membership functions. The novelty of this paper lies in the electronic implementation of different steps for realizing a fuzzy system using current amplifiers. When the power supply voltage of CDBA is 2 V, it results in 155 mW, power dissipation; 4.615 KΩ, input resistance; 366 KΩ, output resistances; and 189.09 dB, common-mode rejection ratio. A 155.519 dB, voltage gain, and 0.76 V/μs, the slew rate is analyzed when the power supply voltage of CDBA is 3 V. The fuzzy system is realized in 20 nm CMOS technology and investigated with an output signal of high precision and high speed, illustrating that it is suitable for realtime applications. In this research paper, a consequence of feedback resistance on the adder circuit and the defuzzified circuit is also analyzed and the best results are obtained using 100 K resistance. The structure has a low hardware complexity leading to a low delay and a rather high quality.

show abstract

“…MAC's simple operation is to multiply two variables (X i and Y i ) and add the product to the last cycle's output. Therefore, the MAC architecture includes the key operational blocks of a multiplier, adder, and register/accumulator [1][2][3][4][5][6][7][8][9][10][11][12][13][14]. The multiplier multiplies the two input operands; the adder attaches the multiplier's output to the previous cycle's result, and the register or accumulator preserves the final addition output.…”

Section: Introduction To Multiply and Accumulate (Mac) Architecturementioning

confidence: 99%

“…In recent years, different researchers have done several works [2][3][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21]. Reference [22] proposes a high throughput MAC architecture that promises the optimized area in 2007.…”

Section: Introduction To Multiply and Accumulate (Mac) Architecturementioning

confidence: 99%

An Evolutionary Normalization Algorithm for Signed Floating-Point Multiply-Accumulate Operation

Sarma¹,

Bhargava²,

Kotecha³

2022

Computers, Materials &Amp; Continua

Self Cite

View full text Add to dashboard Cite

In the era of digital signal processing, like graphics and computation systems, multiplication-accumulation is one of the prime operations. A MAC unit is a vital component of a digital system, like different Fast Fourier Transform (FFT) algorithms, convolution, image processing algorithms, etcetera. In the domain of digital signal processing, the use of normalization architecture is very vast. The main objective of using normalization is to perform comparison and shift operations. In this research paper, an evolutionary approach for designing an optimized normalization algorithm is proposed using basic logical blocks such as Multiplexer, Adder etc. The proposed normalization algorithm is further used in designing an 8 × 8 bit Signed Floating-Point Multiply-Accumulate (SFMAC) architecture. Since the SFMAC can accept an 8-bit significand and a 3-bit exponent, the input to the said architecture can be somewhere between −(7.96872) 10 to + (7.96872) 10 . The proposed architecture is designed and implemented using the Cadence Virtuoso using 90 and 130 nm technologies (in Generic Process Design Kit (GPDK) and Taiwan Semiconductor Manufacturing Company (TSMC), respectively). To reduce the power consumption of the proposed normalization architecture, techniques such as "block enabling" and "clock gating" are used rigorously. According to the analysis done on Cadence, the proposed architecture uses the least amount of power compared to its current predecessors.

show abstract

Application of ameliorated Harris Hawks optimizer for designing of low-power signed floating-point MAC architecture

Cited by 6 publications

References 66 publications

A Novel Variant of the Salp Swarm Algorithm for Engineering Optimization

A Novel Variant of the Salp Swarm Algorithm for Engineering Optimization

Fuzzy System Design Using Current Amplifier for 20 nm CMOS Technology

An Evolutionary Normalization Algorithm for Signed Floating-Point Multiply-Accumulate Operation

Contact Info

Product

Resources

About