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07/14/2023
Brain Tumor Detection using Convolutional Neural Networks with Skip Connections
In this paper, we present different architectures of Convolutional Neura...
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04/13/2023
Algorithms and Hardware for Efficient Processing of Logic-based Neural Networks
Recent efforts to improve the performance of neural network (NN) acceler...
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06/30/2022
Sparse Periodic Systolic Dataflow for Lowering Latency and Power Dissipation of Convolutional Neural Network Accelerators
This paper introduces the sparse periodic systolic (SPS) dataflow, which...
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04/07/2021
NullaNet Tiny: Ultra-low-latency DNN Inference Through Fixed-function Combinational Logic
While there is a large body of research on efficient processing of deep ...
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07/30/2020
SynergicLearning: Neural Network-Based Feature Extraction for Highly-Accurate Hyperdimensional Learning
Machine learning models differ in terms of accuracy, computational/memor...
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12/11/2019
Energy-aware Scheduling of Jobs in Heterogeneous Cluster Systems Using Deep Reinforcement Learning
Energy consumption is one of the most critical concerns in designing com...
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05/10/2019
Energy-Aware Scheduling of Task Graphs with Imprecise Computations and End-to-End Deadlines
Imprecise computations provide an avenue for scheduling algorithms devel...
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02/04/2019
BottleNet: A Deep Learning Architecture for Intelligent Mobile Cloud Computing Services
Recent studies have shown the latency and energy consumption of deep neu...
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02/01/2019
Towards Collaborative Intelligence Friendly Architectures for Deep Learning
Modern mobile devices are equipped with high-performance hardware resour...
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12/19/2018