Performance Analysis of Multicore Processor Using FOFO-Based Approximate Compatible ALU

Abstract

Modern electronic devices are supported by multicore processors and they have become an unavoidable part of recent technologies. The Arithmetic Logic Unit (ALU) is one of the indispensable parts of the Central Processing Unit (CPU) which performs most of the operations. Operations like multiplications, and exponentials consume more power than other normal operations. Power management is one of the major challenges in designing processors. To maximize speed and reduce power consumption, a new technique in Multiplier and ALU incorporated with a multicore processor has been proposed. The Proposed Approximate Compatible ALU (ACALU) is designed to perform specified operations that consume more power, using an advanced multiplication technique called the First One First Operand (FOFO) method. The selection process of eight bits is done by the FOFO method followed by error detection and error approximation is performed to get the accurate output. The ACALU performs these operations in the Approximate Computing Mode which utilizes only eight bits for the operations, thus reducing the power consumption. The results of several analyses between multipliers, ALUs, and microprocessors are provided. As we optimize the multiplier and ALU unit, the multicore processor is also enhanced. The proposed multicore processor is compared with the AMD processor and the latest INTEL processor and the comparison results show that the proposed technique is 95.2% and 97.8% more efficient than the existing processors. Thus, the power consumption is minimized and the performance speed is increased in the proposed multicore processor.