Soft-core stream processing on FPGA: An FFT case study
The increasing design complexity associated with modern Field Programmable Gate Array (FPGA) has prompted the emergence of 'soft'-programmable processors which attempt to replace at least part of the custom circuit design problem with a problem of programming parallel processors. Despite substantial advances in this technology, its performance and resource efficiency for computationally complex operations remains in doubt. In this paper we present the first recorded implementation of a softcore Fast-Fourier Transform (FFT) on Xilinx Virtex FPGA technology. By employing a streaming processing architecture, we show how it is possible to achieve architectures which offer 1.1 GSamples/s throughput and up to 19 times speed-up against the Xilinx Radix-2 FFT dedicated circuit with comparable cost.
Production planning is one of the important activities in the company, each of its activities involve decision making. To be able to meet the ::: demand of its customers continuously, companies must have good planning. Therefore, this paper discusses the application of Fuzzy ::: inference system Tsukamoto for decision making in production planning at the company's crude palm oil [CPO). The purpose of this ::: research is to assist the production manager to determine the optimal number of CPO production, so that it can more effectively and ::: efficiently. Data on production, inventory and demand in 2014 as inputs. There are three steps to solve the problem using FIS Tsukamoto ::: i.e. Fuzzification, Inference and Defuzzification. The result obtained is the number of optimal inventory and production as well as higher ::: profit