Search Results for author: Felipe Huici

Found 5 papers, 0 papers with code

SOL: Effortless Device Support for AI Frameworks without Source Code Changes

no code implementations24 Mar 2020 Nicolas Weber, Felipe Huici

In this paper we explore how to provide hardware support in AI frameworks without changing the framework's source code in order to minimize maintenance overhead.

Towards Transparent Neural Network Acceleration

no code implementations19 Oct 2018 Nicolas Weber, Mathias Niepert, Felipe Huici

While the efficiency problem can be partially addressed with specialized hardware and its corresponding proprietary libraries, we believe that neural network acceleration should be transparent to the user and should support all hardware platforms and deep learning libraries.

object-detection Object Detection

BrainSlug: Transparent Acceleration of Deep Learning Through Depth-First Parallelism

no code implementations23 Apr 2018 Nicolas Weber, Florian Schmidt, Mathias Niepert, Felipe Huici

Neural network frameworks such as PyTorch and TensorFlow are the workhorses of numerous machine learning applications ranging from object recognition to machine translation.

Machine Translation Object Recognition +1

Representation Learning for Resource Usage Prediction

no code implementations2 Feb 2018 Florian Schmidt, Mathias Niepert, Felipe Huici

Creating a model of a computer system that can be used for tasks such as predicting future resource usage and detecting anomalies is a challenging problem.

Anomaly Detection Representation Learning

Net2Vec: Deep Learning for the Network

no code implementations10 May 2017 Roberto Gonzalez, Filipe Manco, Alberto Garcia-Duran, Jose Mendes, Felipe Huici, Saverio Niccolini, Mathias Niepert

We present Net2Vec, a flexible high-performance platform that allows the execution of deep learning algorithms in the communication network.

General Classification Traffic Classification

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