During the past decade, Deep Learning (DL) algorithms, programming syste...
Rapid advances in artificial intelligence (AI) technology have led to
si...
Convolutional neural networks (CNNs) have found many applications in tas...
Full-batch training on Graph Neural Networks (GNN) to learn the structur...
During the past decade, novel Deep Learning (DL) algorithms/workloads an...
During the last two years, the goal of many researchers has been to sque...
Genomic data sets are growing dramatically as the cost of sequencing
con...
Deep learning (DL) is one of the most prominent branches of machine lear...
This paper presents the first comprehensive empirical study demonstratin...
Domain specific accelerators present new challenges and opportunities fo...
Metagenome assembly is the process of transforming a set of short,
overl...
Convolution layers are prevalent in many classes of deep neural networks...
The state-of-the-art (SOTA) for mixed precision training is dominated by...