44 citations · 167 across the 26 of their papers we have counts for
29 papers
Using a Nearest-Neighbour, BERT-Based Approach for Scalable Clone Detection
Muslim Chochlov, Gul Aftab Ahmed, James Vincent Patten +4
Code clones can detrimentally impact software maintenance and manually detecting them in very large codebases is impractical. Additionally, automated approaches find detection of T…
Maple: A Processing Element for Row-Wise Product Based Sparse Tensor Accelerators
Midia Reshadi, David Gregg
Sparse tensor computing is a core computational part of numerous applications in areas such as data science, graph processing, and scientific computing. Sparse tensors offer the po…
Dynamic Resource Partitioning for Multi-Tenant Systolic Array Based DNN Accelerator
Midia Reshadi, David Gregg
Deep neural networks (DNN) have become significant applications in both cloud-server and edge devices. Meanwhile, the growing number of DNNs on those platforms raises the need to e…
LOCAL: Low-Complex Mapping Algorithm for Spatial DNN Accelerators
Midia Reshadi, David Gregg
Deep neural networks are a promising solution for applications that solve problems based on learning data sets. DNN accelerators solve the processing bottleneck as a domain-specifi…
Winograd Convolution for Deep Neural Networks: Efficient Point Selection
Syed Asad Alam, Andrew Anderson, Barbara Barabasz +1
Convolutional neural networks (CNNs) have dramatically improved the accuracy of tasks such as object recognition, image segmentation and interactive speech systems. CNNs require la…
On the RTL Implementation of FINN Matrix Vector Compute Unit
Syed Asad Alam, David Gregg, Giulio Gambardella +2
FPGA-based accelerators are becoming more popular for deep neural network due to the ability to scale performance with increasing degree of specialization with dataflow architectur…