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09/16/2023
Microscale 3-D Capacitance Tomography with a CMOS Sensor Array
Electrical capacitance tomography (ECT) is a nonoptical imaging techniqu...
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08/26/2023
Throughput Maximization of DNN Inference: Batching or Multi-Tenancy?
Deployment of real-time ML services on warehouse-scale infrastructures i...
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08/07/2023
GraPhSyM: Graph Physical Synthesis Model
In this work, we introduce GraPhSyM, a Graph Attention Network (GATv2) m...
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07/02/2023
Automatic MILP Solver Configuration By Learning Problem Similarities
A large number of real-world optimization problems can be formulated as ...
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04/17/2023
AdaMTL: Adaptive Input-dependent Inference for Efficient Multi-Task Learning
Modern Augmented reality applications require performing multiple tasks ...
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07/01/2022
RUCA: RUntime Configurable Approximate Circuits with Self-Correcting Capability
Approximate computing is an emerging computing paradigm that offers impr...
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10/29/2021
BitTrain: Sparse Bitmap Compression for Memory-Efficient Training on the Edge
Training on the Edge enables neural networks to learn continuously from ...
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08/16/2021
AdaCon: Adaptive Context-Aware Object Detection for Resource-Constrained Embedded Devices
Convolutional Neural Networks achieve state-of-the-art accuracy in objec...
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02/22/2021
Characterizing and Optimizing EDA Flows for the Cloud
Cloud computing accelerates design space exploration in logic synthesis,...
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06/10/2020
AdaSense: Adaptive Low-Power Sensing and Activity Recognition for Wearable Devices
Wearable devices have strict power and memory limitations. As a result, ...
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11/11/2019
DRiLLS: Deep Reinforcement Learning for Logic Synthesis
Logic synthesis requires extensive tuning of the synthesis optimization ...
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09/08/2019
A Resource-Efficient Embedded Iris Recognition System Using Fully Convolutional Networks
Applications of Fully Convolutional Networks (FCN) in iris segmentation ...
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08/29/2018
Implications of Integrated CPU-GPU Processors on Thermal and Power Management Techniques
Heterogeneous processors with architecturally different cores (CPU and G...
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05/15/2018
BLASYS: Approximate Logic Synthesis Using Boolean Matrix Factorization
Approximate computing is an emerging paradigm where design accuracy can ...
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01/23/2018
Flexible Deep Neural Network Processing
The recent success of Deep Neural Networks (DNNs) has drastically improv...
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05/11/2017
Hardware-Software Codesign of Accurate, Multiplier-free Deep Neural Networks
While Deep Neural Networks (DNNs) push the state-of-the-art in many mach...
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12/12/2016
Understanding the Impact of Precision Quantization on the Accuracy and Energy of Neural Networks
Deep neural networks are gaining in popularity as they are used to gener...
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07/19/2016