MIOpen is AMD's open-source deep-learning primitive library, similar in role to NVIDIA cuDNN. It provides optimized implementations of operations such as convolutions, pooling, normalization, and ...

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 ...

ABSTRACT: The process of ranking scientific publications in dynamic citation networks plays a crucial rule in a variety of applications. Despite the availability of a number of ranking algorithms, ...

This work explores an efficient convolutional acceleration framework tailored for edge devices by integrating Depthwise Convolution with the Winograd algorithm. Through RTL-based hardware ...

In order to realize the real-time processing and analysis of astronomical ultra-wide bandwidth signals, this study proposes a sub-band division algorithm based on RFSoC. The algorithm uses Kaiser ...

Computer scientists are a demanding bunch. For them, it’s not enough to get the right answer to a problem — the goal, almost always, is to get the answer as efficiently as possible. Take the act of ...

Artificial intelligence researchers dominated the first 10 years of ACM’s A.M Turing award, suggesting AI initially occupied the intellectual high ground of computer science. Looking at the computer ...

ABSTRACT: Over the years, there has been increasing growth in academic digital libraries. It has therefore become overwhelming for researchers to determine important research materials. In most ...