Kirjojen hintavertailu. Mukana 12 390 323 kirjaa ja 12 kauppaa.
Kirja.info

Kirjahaku

Etsi kirjoja tekijän nimen, kirjan nimen tai ISBN:n perusteella.

1000 tulosta hakusanalla Screaming Mimi

Scheduling Real-Time Streaming Applications onto an Embedded Multiprocessor

Scheduling Real-Time Streaming Applications onto an Embedded Multiprocessor

Orlando Moreira; Henk Corporaal

Springer International Publishing AG
2013
sidottu
This book provides a comprehensive overview of the state-of-the-art, data flow-based techniques for the analysis, modeling and mapping technologies of concurrent applications on multi-processors. The authors present a flow for designing embedded hard/firm real-time multiprocessor streaming applications, based on data flow formalisms, with a particular focus on wireless modem applications. Architectures are described for the design tools and run-time scheduling and resource management of such a platform.
Vertaile hintoja
Scheduling Real-Time Streaming Applications onto an Embedded Multiprocessor

Scheduling Real-Time Streaming Applications onto an Embedded Multiprocessor

Orlando Moreira; Henk Corporaal

Springer International Publishing AG
2016
nidottu
This book provides a comprehensive overview of the state-of-the-art, data flow-based techniques for the analysis, modeling and mapping technologies of concurrent applications on multi-processors. The authors present a flow for designing embedded hard/firm real-time multiprocessor streaming applications, based on data flow formalisms, with a particular focus on wireless modem applications. Architectures are described for the design tools and run-time scheduling and resource management of such a platform.
Vertaile hintoja
Reliable and Energy Efficient Streaming Multiprocessor Systems

Reliable and Energy Efficient Streaming Multiprocessor Systems

Anup Kumar Das; Akash Kumar; Bharadwaj Veeravalli; Francky Catthoor

Springer International Publishing AG
2018
sidottu
This book discusses analysis, design and optimization techniques for streaming multiprocessor systems, while satisfying a given area, performance, and energy budget. The authors describe design flows for both application-specific and general purpose streaming systems. Coverage also includes the use of machine learning for thermal optimization at run-time, when an application is being executed. The design flow described in this book extends to thermal and energy optimization with multiple applications running sequentially and concurrently.
Vertaile hintoja
Reliable and Energy Efficient Streaming Multiprocessor Systems

Reliable and Energy Efficient Streaming Multiprocessor Systems

Anup Kumar Das; Akash Kumar; Bharadwaj Veeravalli; Francky Catthoor

Springer International Publishing AG
2019
nidottu
This book discusses analysis, design and optimization techniques for streaming multiprocessor systems, while satisfying a given area, performance, and energy budget. The authors describe design flows for both application-specific and general purpose streaming systems. Coverage also includes the use of machine learning for thermal optimization at run-time, when an application is being executed. The design flow described in this book extends to thermal and energy optimization with multiple applications running sequentially and concurrently.
Vertaile hintoja
Unlocking the Power of Streaming Data: Online Learning for Diverse Applications

Unlocking the Power of Streaming Data: Online Learning for Diverse Applications

James

tredition GmbH
2024
nidottu
Data streams are defined as large sequences of data, gathered from sources such as sensor networks and customer click streams, that are possibly infinite and temporarily ordered 7, 22]. Instances in data streams arrive fast, either in batches of data, or instance-by-instance; each instance needs to be processed in a timely manner. Due to these characteristics, such as large amount of data and time constraints, tra-ditional static machine learning algorithms are unsuitable for direct use 7]. That is, techniques learning from data streams need to maintain their performance throughout the stream while limiting memory and processing time. Moreover, evolving or non-stationary data streams are susceptible to changes in the distribution of data, also known as concept drifts.
Vertaile hintoja
Scalable Video Streaming over the Internet

Scalable Video Streaming over the Internet

Taehyun Kim

AV Akademikerverlag
2012
pokkari
Revision with unchanged content. This book covers advanced topics on scalable video streaming over the Internet. In the first part, this book investigates scalable video multicasting mechanisms by comparing layered video multicasting with replicated stream video multicasting. Even though it has been generally accepted that layered video multicasting is superior to replicated stream multicasting, it is not based on a systematic and quantitative comparison. This book argues that there are indeed scenarios where replicated stream multicasting is a preferred approach. In the second part, this book considers the problem of accommodating the mismatch between the available bandwidth variability and the data rate variability of the scalable VBR video. An optimal quality adaptation algorithm is proposed to minimize the quality variation while at the same time increasing the utilization of the available bandwidth. In the last part, the TCP protocol is investigated for streaming packetized video data. A video streaming system is mathematically modeled, and three relationships are derived under which the system achieves desired performance.
Vertaile hintoja
1...2829303132...50