This paper explores the use of macros and parameters in Hardware Description Language (HDL) programming. Macros and parameters are powerful tools that allow for efficient and reusable code, yet their full potential is often underutilized. By examining the advantages of macros and parameters, this paper aims to demonstrate how these features can enhance the flexibility, readability, and maintainability of HDL code. Additionally, the paper discusses the use cases of mixing macros and parameters in HDL programming, highlighting their applicability in a range of scenarios. Furthermore, the paper addresses the challenges that arise from the mix use of macros and parameters and provides best practices to overcome these challenges. Overall, this paper aims to encourage HDL programmers to fully explore the capabilities of macros and parameters in their code, leading to more efficient and effective hardware designs and verification.
The demand for energy-efficient computing systems has grown exponentially in recent years due to the increasing reliance on electronic devices and the escalating concerns over power consumption. In this paper, we present a comprehensive study on the power evaluation of MIPS (Microprocessor without Interlocked Pipeline Stages) architecture by leveraging power reduction techniques on FPGA (FieldProgrammable Gate Array). Various FPGAs are evaluated for their power characteristics when employing clock gating at different levels of the MIPS architecture. The work assesses the impact of clock gating on power consumption, performance, and area utilization across a range of FPGA platforms. Results indicate significant reductions in power consumption with minimal impact on performance, demonstrating the potential of clock gating as an effective power optimization technique in FPGA-based implementations of MIPS architecture.
When the application context is ready to accept different levels of exactness in solutions and is supported by human perception quality, then the term ‘Approximate Computing’ tossed before one decade will become the first priority . Even though computer hardware and software are working to generate exact results, approximate results are preferred whenever an error is in predefined bound and adaptive. It will reduce power demand and critical path delay and improve other circuit metrics. When it comes to traditional arithmetic circuits, those generating correct results with limitations on performance are rapidly getting replaced by approximate arithmetic circuits which are the need of the hour, and so on about their design.
New implementations within concurrent processing using three-dimensional lattice networks via nano carbon-based field emission controlled-switching is introduced in this article. The introduced nano-based three-dimensional networks utilize recent findings in nano-apex field emission to implement the concurrent functionality of lattice networks. The concurrent implementation of ternary Galois functions using nano threedimensional lattice networks is performed by using carbon field-emission switching devices via nano-apex carbon fibers and nanotubes. The presented work in this part of the article presents important basic background and fundamentals with regards to lattice computing and carbon field-emission that will be utilized within the follow-up works in the second and third parts of the article. The introduced nano-based three-dimensional lattice implementations form new and important directions within three-dimensional design in nanotechnologies that require optimal specifications of high regularity, predictable timing, high testability, fault localization, self-repair, minimum size, and minimum power consumption.
Pipelining is a technique that exploits parallelism, among the instructions in a sequential instruction stream to get increased throughput, and it lessens the total time to complete the work. .The major objective of this architecture is to design a low power high performance structure which fulfils all the requirements of the design.The critical factors like power, frequency, area, propagation delay are analysed using Spartan 3E XC3E 1600e device with Xilinx tool.In this paper, the 32-bit MIPS RISC processor is used in 6-stage pipelining to optimize the critical performance factors.The fundamental functional blocks of the processor include Input/Output blocks, configurable logic blocks, Block RAM, and Digital clock Manager and each block permits to connect to multiple sources for the routing.The Auxiliary units enhance the performance of the processor.The comparative study elevates the designed model in terms of Area, Power and Frequency.MATLAB2D/3D graphs represents the relationship among various parameters of this pipelining.In this pipeline model, it consumes very less power (0.129 W),path delay (11.180 ns) and low LUT utilization (421).Similarly, the proposed model achieves better frequency increase (285.583Mhz.), which obtained better results compared to other models.
