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Tensor processing unit

Known as: Tensor processing units 
Tensor processing units are application-specific integrated circuits developed specifically for machine learning. Compared to graphics processing… 
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8-bitAlphaGoAlphaGo versus Lee SedolApplication-specific integrated circuit

Papers overview

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2020
2020
tfShearlab: The TensorFlow Digital Shearlet Transform for Deep Learning
The shearlet transform from applied harmonic analysis is currently the state of the art when analyzing multidimensional signals… 
2019
2019
Geospatial Computing Collaborations
Geospatial algorithm development is a complex collaborative process involving remote sensing scientists with different expertise… 
2019
2019
Differential Architecture Search in Deep Learning for Genomic Applications
The data explosion caused by unprecedented advancements in the field of genomics is constantly challenging the conventional… 
2018
2018
Resource-Aware Stream Processing in High Performance Cloud Environment
Today, thousands of ubiquitous computing devices, e.g., mobile devices, wearable devices, and Internet of Things simultaneously… 
2018
2018
Accelerator-centric deep learning systems for enhanced scalability, energy-efficiency, and programmability
Deep learning (DL) has been successfully deployed in various application domains ranging from computer vision, speech recognition… 
2018
2018
Guest Editors' Introduction: Hardware Accelerators for Data Centers
It is our pleasure to introduce this special issue on hardware accelerators for data centers. Data centers around the world have… 
Review
2017
Review
2017
Research at VMware
VMware has its roots in the academic research community, starting with the commercialization of the work on x86 virtualization of… 
2017
2017
Restricted Connectivity in Deep Neural Networks
Convolutional networks are at the core of most stateof-the-art computer vision solutions for a wide variety of tasks. Since 2014… 
2017
2017
Structural Priors in Deep Networks
Convolutional networks are at the core of most stateof-the-art computer vision solutions for a wide variety of tasks. Since 2014… 
2017
2017
TRIP: An Ultra-Low Latency, TeraOps/s Reconfigurable Inference Processor for Real-Time Multi-Layer Perceptrons
Multi-Layer Perceptron (MLP) is one of the most commonly deployed Deep Neural Network, representing 61% of the workload in Google… 
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