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Latency (engineering)

About: Latency (engineering) is a research topic. Over the lifetime, 3729 publications have been published within this topic receiving 39210 citations. The topic is also known as: lag.


Papers
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Proceedings ArticleDOI
01 Dec 2017
TL;DR: This paper presents a high performance scalable design for decision trees and ensemble combinations that makes use of the vector SIMD and multicore capabilities available in modern processors to provide the required throughput and accuracy.
Abstract: Real-time mining of evolving data streams involves new challenges when targeting today's application domains such as the Internet of the Things: increasing volume, velocity and volatility requires data to be processed on-the-fly with fast reaction and adaptation to changes. This paper presents a high performance scalable design for decision trees and ensemble combinations that makes use of the vector SIMD and multicore capabilities available in modern processors to provide the required throughput and accuracy. The proposed design offers very low latency and good scalability with the number of cores on commodity hardware when compared to other state-of-the art implementations. On an Intel i7-based system, processing a single decision tree is 6x faster than MOA (Java), and 7x faster than StreamDM (C++), two well-known reference implementations. On the same system, the use of the 6 cores (and 12 hardware threads) available allow to process an ensemble of 100 learners 85x faster that MOA while providing the same accuracy. Furthermore, our solution is highly scalable: on an Intel Xeon socket with large core counts, the proposed ensemble design achieves up to 16x speedup when employing 24 cores with respect to a single threaded execution.

14 citations

Patent
28 Jan 2015
TL;DR: In this article, the authors provide run-time optical 5G mobile fronthaul MFH topology re-configurability through software-defined control of both optical circuit switches and electrical packet switches.
Abstract: A method includes providing run-time optical 5G mobile fronthaul MFH topology re-configurability through software-defined control of both optical circuit switches and electrical packet switches readily accommodating unpredictable traffic patterns and low latency optical by-pass based device-to-device connectivity. The providing includes employing an optical any-to-any switch for wavelength-tunable and fixed-wavelength optical transceivers.

14 citations

Proceedings ArticleDOI
20 Mar 2014
TL;DR: This paper presents and evaluates a smartphone based hardware platform for interactive, low latency movement sonification based on inertial measurement units that enables low latency and battery powered long-term training sessions and improved usability in stroke rehabilitation by an intuitive graphical user interface and wearability.
Abstract: Mobile hardware platforms are a major requirement for interactive movement sonification. Emerging applications for the computationally demanding auditory feedback technique are stroke rehabilitation and assisted training in sports. This paper presents and evaluates a smartphone based hardware platform for interactive, low latency movement sonification based on inertial measurement units. In contrast to existing hardware platforms the proposed platform enables low latency and battery powered long-term training sessions and improved usability in stroke rehabilitation by an intuitive graphical user interface and wearability. The evaluation focuses on real-time operation performance and overall latency. Furthermore, the overall latency of the smartphone-based platform are compared to results of a heterogeneous RISC/DSP and a PC-based processing platform.

14 citations

Proceedings ArticleDOI
Yunpeng Li1, Marco Tagliasacchi1, Oleg Rybakov1, Victor Ungureanu1, Dominik Roblek1 
06 Jun 2021
TL;DR: In this article, a wave-to-wave fully convolutional model is proposed for frequency bandwidth extension of speech signals, increasing the sampling frequency from 8kHz to 16kHz while restoring the high frequency content to a level almost indistinguishable from the 16kHz ground truth.
Abstract: In this paper we propose a lightweight model for frequency bandwidth extension of speech signals, increasing the sampling frequency from 8kHz to 16kHz while restoring the high frequency content to a level almost indistinguishable from the 16kHz ground truth. The model architecture is based on SEANet (Sound EnhAncement Network), a wave-to-wave fully convolutional model, which uses a combination of feature losses and adversarial losses to reconstruct an enhanced version of the input speech. In addition, we propose a variant of SEANet that can be deployed on-device in streaming mode, achieving an architectural latency of 16ms. When profiled on a single core of a mobile CPU, processing one 16ms frame takes only 1.5ms. The low latency makes it viable for bi-directional voice communication systems.

14 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202210
2021692
2020481
2019389
2018366
2017227