Background:
With the growing demand of image processing and the use of Digital Signal
Processors (DSP), the efficiency of the Multipliers and Accumulators has become a bottleneck to get
through. We revised a few patents on an Application Specific Instruction Set Processor (ASIP),
where the design considerations are proposed for application-specific computing in an efficient way
to enhance the throughput.
Objective:
The study aims to develop and analyze a computationally efficient method to optimize the
speed performance of MAC.
Methods:
The work presented here proposes the design of an Application Specific Instruction Set
Processor, exploiting a Multiplier Accumulator integrated as the dedicated hardware. This MAC is
optimized for high-speed performance and is the application-specific part of the processor; here it
can be the DSP block of an image processor while a 16-bit Reduced Instruction Set Computer
(RISC) processor core gives the flexibility to the design for any computing. The design was emulated
on a Xilinx Field Programmable Gate Array (FPGA) and tested for various real-time computing.
Results:
The synthesis of the hardware logic on FPGA tools gave the operating frequencies of the
legacy methods and the proposed method, the simulation of the logic verified the functionality.
Conclusion:
With the proposed method, a significant improvement of 16% increase in throughput
has been observed for 256 steps iterations of multiplier and accumulators on an 8-bit sample data.
Such an improvement can help in reducing the computation time in many digital signal processing
applications where multiplication and addition are done iteratively.
Behavioral and Game-Theoretic Security Investments in Interdependent Systems Modeled by Attack Graphs