Abstract: Convolutional neural networks (CNNs) are very resource intensive and consume a lot of computational power. The convolution operation itself is a very complex process. Hence this work deals ...
Implementation of parallel algorithms and comparison from speed of operation with sequential implementation. Algorithms: Ant Colony Optimization Algorithm, Gauss Algorithm, Winograd Algorithm ...
The objective of this tutorial is to present the fundamental theory of Karp, Miller and Winograd, whose seminal paper laid the foundations regarding the systematic description of the organization of ...
Syed Asad Alam, Andrew Anderson, Barbara Basabasz and David Gregg, "Winograd Convolution for Deep Neural Networks: Efficient Point Selection", ACM Transactions on Embedded Computing Systems, December ...
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