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11/17/2021
ReaLPrune: ReRAM Crossbar-aware Lottery Ticket Pruned CNNs
Training machine learning (ML) models at the edge (on-chip training on e...
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04/14/2021
Learning Pareto-Frontier Resource Management Policies for Heterogeneous SoCs: An Information-Theoretic Approach
Mobile system-on-chips (SoCs) are growing in their complexity and hetero...
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03/23/2021
SETGAN: Scale and Energy Trade-off GANs for Image Applications on Mobile Platforms
We consider the task of photo-realistic unconditional image generation (...
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02/16/2021
ReGraphX: NoC-enabled 3D Heterogeneous ReRAM Architecture for Training Graph Neural Networks
Graph Neural Network (GNN) is a variant of Deep Neural Networks (DNNs) o...
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11/30/2020
HeM3D: Heterogeneous Manycore Architecture Based on Monolithic 3D Vertical Integration
Heterogeneous manycore architectures are the key to efficiently execute ...
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03/20/2020
An Energy-Aware Online Learning Framework for Resource Management in Heterogeneous Platforms
Mobile platforms must satisfy the contradictory requirements of fast res...
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06/10/2019
Inter-Tier Process Variation-Aware Monolithic 3D NoC Architectures
Monolithic 3D (M3D) technology enables high density integration, perform...
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01/29/2019
Trading-off Accuracy and Energy of Deep Inference on Embedded Systems: A Co-Design Approach
Deep neural networks have seen tremendous success for different modaliti...
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10/20/2018
Learning-based Application-Agnostic 3D NoC Design for Heterogeneous Manycore Systems
The rising use of deep learning and other big-data algorithms has led to...
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12/05/2017
On-Chip Communication Network for Efficient Training of Deep Convolutional Networks on Heterogeneous Manycore Systems
Convolutional Neural Networks (CNNs) have shown a great deal of success ...
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11/30/2017