Informatics Publishing Limited

Sumanth Sridhar ¹, SOURABH ZUNKE ¹, KUMAR VAIBHAV ¹, MOHANASUNDARAM MANI ¹

Affiliations
1 Department of ECE, SRM University, Chennai-603203, Tamil Nadu, IN

Abstract

Objective: Field Programmable Gate Arrays (FPGAs) are often used to accelerate hardware systems by implementing algorithms on hardware. This paper presents the design and implementation of a fully pipelined single-precision Floating-Point Unit (FPU) on a Spartan-6 FPGA chip. Methods: This paper presents a high-speed, modular design for improving the performance of such applications. While the proposed design is capable of performing basic arithmetic operations and square-ischolar_main extraction, its modularity enables designers to add more functionality easily; or remove modules that they deem unnecessary for a particular application. Findings: The investigation shows that the adder and multiplier modules can be clocked at over 300 MHz and the top-module at over 200 MHz High operating frequencies were achieved by pre-computing possible values in earlier pipelining stages, then correcting results in later pipelining stages. It was also found that splitting longer operations in the critical path is a better alternative than processing the whole operation at once. Limiting “Max_Fanout”, an attribute provided by Xilinx XST tool, proved valuable in reducing delays on overloaded nets. Applications: This FPU would be a worthwhile addition as a floating-point extension in fixed-point processors for applications such as spectrum analyzers, 3D graphics, and audio processing units.

Keywords

DSP48A1Multiplier, FPU, FPGA, High-speed Pipeline, Out-of-order Processing, Non-restoring Algorithm, Spartan-6, Single-Precision

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Vikas Pratap Singh ¹, Kumar Vaibhav ²

Affiliations
1 Senior Research Fellow, ERED, Central Power Research Institute, Bangalore-560080, IN
2 Assistant Professor, Amity University, Jaipur Rajasthan, IN

Abstract

In 21^st century Renewable energy sources, especially Solar Energy, are to play a larger role in Hybrid Generation. There exist a number of technological, environmental and political challenges linked to supplementing existing electricity generation capacities with solar energy. Solar power forecasting can avoid many of the balancing issues, if accurate forecasts of solar output are available. Anybody trading in solar energy can negotiate a better price, if they have precise information about the volume they have to sell at any particular time.

Keywords

Solar Power Forecasting, Pv Power

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