RISC Processor Design Research Articles

A Review of Vedic Mathematics for the Design of High-Speed Arithmetic RISC Processors

Vedic Mathematics is a collection of techniques and concepts developed from ancient Indian mathematical books known as the Vedas. These strategies are designed to make different mathematical computations easier and faster. High-throughput RISC Processor Design, on the other hand, includes the creation of processors that prioritize the execution of a high number of instructions per unit of time. If there have been breakthroughs relating to Vedic Mathematics and High-Throughput RISC Processor Design, it would be intriguing to investigate how these old mathematical ideas may be utilized to improve the efficiency of current processor designs. Give a summary of the work, stressing the potential benefits and drawbacks of incorporating Vedic Mathematics concepts into the design of High-Throughput RISC computers. Introduce Vedic Mathematics and High-Throughput RISC Processor Design separately. Explain briefly why you're looking at incorporating Vedic Mathematics into CPU architecture. Outline key Vedic Mathematics concepts that may be applied to processor design. What distinguishes these ideas from typical mathematical approaches Provide an overview of the fundamental ideas and issues involved in the design of high-throughput RISC processors. Emphasize the critical areas for improvement and integrating principles from Vedic Mathematics into Processor Architecture: Investigate the use of Vedic Mathematics principles in processor architecture to discuss how these concepts may be utilized to solve specific problems or improve aspects of high-throughput RISC architectures. The importance of multipliers in Arithmetic Unit performance is underlined. The incorporation of Vedic Science, an ancient mathematical system comprised of 16 Sutras, implies a fresh method for arithmetic computations. The suggestion comprises optimizing the Vedic multiplier type Urdhva Triyakbhyam by substituting Convey Save Viper for the usual carry. This is done to reduce delays caused by standard adders and incomplete products aspire to outperform traditional designs in terms of speed. The explicit data on the speed gains is obtained and how they were assessed will bolster the claims and utilization of the proposed proficient Vedic multiplier in the number juggling module of the RISC processor. In addition, stating its application in the field of digital signal processing (DSP) broadens the scope of work. Validation of RTLs and FPGAs for the Register-Transfer Level (RTL) implementation of the proposed Math Unit in VHDL, paired with simulation using Xilinx ISE EDA tools, is a useful step in verifying the design. Validation on an FPGA device, especially a Vertex-IV, provides credibility to the suggested solution.

Design of RISC Processor with IEEE754 Standard Floating-Point Instruction Set in FPGA using VHDL for Digital Signal Processing Applications

The design of RISC processors, which are the key of digital signal processing applications, are increasing in reconfigurable hardware. FPGAs are suitable reconfigurable hardware for RISC processor design, with advantages such as parallel processing and low power consumption. In this study, the design of the 32-bit RISC processor in a FPGA is presented. The designed RISC processor contains IEEE754 standard floating-point number processing unit, which is executed in a one clock cycle. The verification of the processor is performed for the Zynq-7000 SoC Artix-7 FPGA chip in the Xilinx Vivado tool. Classification of an artificial neural network using the iris dataset is carried out in this designed RISC processor. In order to compare the performance, the same artificial neural network is executed in real time within the dual-core ARM Cortex-A9 processor in the operating system of the Zynq-7000 SoC. The results show that the RISC processor designed in the FPGA executes at 20x less clock cycles and 3x higher speed compared to the ARM processor.

RISC Processor Design in VLSI Technology Using the Pipeline Technique

RISC Processor Design in VLSI Technology Using the Pipeline Technique

Pipelined RISC Processor Design and FPGA Implementation

This paper presents a pipelined RISC architecture processor. Five-stage pipeline is used to enhance the performance. Test results show that: the design of processor able to accurately perform all instructions, reaching the functional requirements, and greatly improved performance. Finally, implement the pipelined RISC processor in FPGA.