ASIP design based on CORDIC algorithm using Xilinx and CoWare designer tools

Efficient generation of trigonometric as well as exponential functions without much increase in hardware complexity has always been a challenge, owing mainly to their importance and widespread use in Digital Signal Processing applications besides other areas. One such algorithm which is very much effective for the calculation of trigonometric, hyperbolic, exponential, linear and logarithmic functions is the CORDIC algorithm. The algorithm is very much hardware efficient because it omits the dependence on multipliers and is rather a combination of shift-add operations. Application Specific Instruction-set Processors (ASIPs) are a type of processor that serve as a compromise between General Purpose Processors (GPPs) and Single Purpose Processors (SPP). Their data-path can be optimized for a particular class of operations such as embedded control, Digital Signal Processing (DSP) applications etc. This project deals with the design of an ASIP based on the CORDIC algorithm using two very popular hardware designing tools, i.e , Xilinx Integrated Development Environment (IDE) from Xilinx corporations, Inc. and LISA 2.0 description language and processor designing environment from CoWare

CARIAA Working Paper no. 23

Ce document expose certaines leçons de l’Initiative de recherche concertée sur l’adaptation en Afrique et en Asie (IRCAAA), un important programme de recherche transdisciplinaire et interrégional de sept ans ayant appuyé quatre consortiums en Afrique et en Asie. L’IRCAAA s’employait à faire de la recherche sur l’adaptation aux changements climatiques qui soutenait l’apprentissage, produisait des connaissances et des solutions, et guidait les politiques et les pratiques. Au terme de plus de cinq ans d’expérimentation dévouée avec la méthode R4I, et avec de nombreux exemples de contributions réussies aux politiques locales et nationales, ainsi que des échecs, l’IRCAAA offre de riches leçons sur la façon de mettre en œuvre l’approche R4I dans des programmes de recherche d’aussi grande envergure.This paper shares lessons from the Collaborative Adaptation Research Initiative in Africa and Asia (CARIAA), a seven-year transdisciplinary and cross-regional research programme that supported four consortia spanning Africa and Asia. CARIAA was committed to research on climate change adaptation that supported learning, the co-production of knowledge and solutions, and that informed policy and practice. With more than five years of dedicated experimentation with R4I, and with scores of successful examples of contribution to local and national policy, as well as failures, CARIAA offers rich lessons on how to pursue R4I in similarly large research programmes.UK Ai