Publications associées à Tensor Processing Unit

All-memristive neuromorphic computing with level-tuned neurons

Stanislaw Andrzej Wozniak, Evangelos Eleftheriou, Angeliki Pantazi

In the new era of cognitive computing, systems will be able to learn and interact with the environment in ways that will drastically enhance the capabilities of current processors, especially in extracting knowledge from vast amount of data obtained from m ...

Iop Publishing Ltd2016

Tensor low-rank and sparse light field photography

Pierre Vandergheynst, Mahdad Hosseini Kamal

High-quality light field photography has been one of the most difficult challenges in computational photography. Conventional methods either sacrifice resolution, use multiple devices, or require multiple images to be captured. Combining coded image acquis ...

Elsevier2016

Design Space Exploration Problem Formulation for Dataflow Programs on Heterogeneous Architectures, 2016 IEEE 10th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSOC)

Marco Mattavelli, Endri Bezati, Nicolas Zufferey, Malgorzata Maria Michalska

The implementations of signal processing systems on the emerging many-core or multi-core processing platforms require to solve a very difficult problem: how to partition and schedule the processing tasks according to given optimization functions such as da ...

2016

Parallel algorithms for tensor completion in the CP format

Daniel Kressner, André Uschmajew

Low-rank tensor completion addresses the task of filling in missing entries in multidimensional data. It has proven its versatility in numerous applications, including context aware recommender systems and multivariate function learning. To handle large-sc ...

Elsevier Science Bv2016

Typical Industrial Cluster - Chemistry/refinery/petrochemistry

Laurent Gabriel Félix Alexandre Stéphane Bungener

A refinery and petrochemical site are described in the document. Data for the steam consumption and production of the cluster's process units are also described. The cluster can be broken down into two individual sites made up of process units and process ...

2016

Privacy-enhancing technologies for medical tests using genomic data

Jean-Pierre Hubaux, Jacques Fellay, Jacques Rougemont, Mathias Jacques Jean-Marc Humbert, Amalio Telenti, Erman Ayday, Jean Louis Raisaro

In this invention, we propose privacy-enhancing technologies for medical tests and personalized medicine methods, which utilize patients' genomic data. Assuming the whole genome sequencing is done by a certified institution, we propose to store patients' g ...

2016

MATHICSE Technical Report : Multilevel tensor approximation of PDEs with random data

Daniel Kressner, Jonas Ballani, Michael Dieter Peters

In this paper, we introduce and analyze a new low-rank multilevel strategy for the solution of random diffusion problems. Using a standard stochastic collocation scheme, we first approximate the infinite dimensional random problem by a deterministic parame ...

MATHICSE2016

MATHICSE Technical Report: Benchmark problems on stochastic automata networks in tensor train format

Francisco Santos Paredes Quartin de Macedo

We present a description of transition rate matrices of models for Stochastic Automata Networks (SAN) in their representation as operators in Tensor Train (TT) format. The collection contains models from real-life applications both taken from references di ...

MATHICSE2015

MATHICSE Technical Report: Reduced basis methods: from low-rank matrices to low-rank tensor

Daniel Kressner, Jonas Ballani

We propose a novel combination of the reduced basis method with low-rank tensor techniques for the efficient solution of parameter-dependent linear systems in the case of several parameters. This combination, called rb Tensor, consists of three ingredients ...

MATHICSE2015

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Tensor Processing Unit

Riemannian Optimization for Solving High-Dimensional Problems with Low-Rank Tensor Structure

All-memristive neuromorphic computing with level-tuned neurons

Tensor low-rank and sparse light field photography

Design Space Exploration Problem Formulation for Dataflow Programs on Heterogeneous Architectures, 2016 IEEE 10th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSOC)

Parallel algorithms for tensor completion in the CP format

Typical Industrial Cluster - Chemistry/refinery/petrochemistry

Privacy-enhancing technologies for medical tests using genomic data

MATHICSE Technical Report : Multilevel tensor approximation of PDEs with random data

MATHICSE Technical Report: Benchmark problems on stochastic automata networks in tensor train format

MATHICSE Technical Report: Reduced basis methods: from low-rank matrices to low-rank tensor

Graph Chatbot

Chattez avec Graph Search

Riemannian Optimization for Solving High-Dimensional Problems with Low-Rank Tensor Structure

Typical Industrial Cluster - Chemistry/refinery/petrochemistry

Design Space Exploration Problem Formulation for Dataflow Programs on Heterogeneous Architectures, 2016 IEEE 10th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSOC)

Parallel algorithms for tensor completion in the CP format

MATHICSE Technical Report: Benchmark problems on stochastic automata networks in tensor train format

MATHICSE Technical Report : Multilevel tensor approximation of PDEs with random data

MATHICSE Technical Report: Reduced basis methods: from low-rank matrices to low-rank tensor

Tensor low-rank and sparse light field photography

All-memristive neuromorphic computing with level-tuned neurons

Privacy-enhancing technologies for medical tests using genomic data