Pipelined Processor Farms: Structured Design for Embedded Parallel Systems

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Pipelined Processor Farms: Structured Design for Embedded Parallel Systems

Name: Pipelined Processor Farms: Structured Design for Embedded Parallel Systems
Author: Martin Fleury
ISBN: 9780471464143

By Martin Fleury and Andrew Downton

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About this ebook

This book outlines a methodology for the use of parallel processing in real time systems. It provides an introduction to parallel processing in general, and to embedded systems in particular. Among the embedded systems are processors in such applications as automobiles, various machinery, IPGAs (field programmable gate arrays), multimedia embedded systems such as those used in the computer game industry, and more.
* Presents design and simulation tools as well as case studies.
* First presentation of this material in book form.

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Computers

LanguageEnglish

PublisherWiley-Interscience

Release dateApr 5, 2004

ISBN9780471464143

Author

Martin Fleury

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Keep Your Data Lake Fresh With Real Time Streams Using Estuary: Batch vs. streaming is a long running debate in the world of data integration and transformation. Proponents of the streaming paradigm argue that stream processing engines can easily handle batched workloads, but the reverse isn't true. The batch world has been the default for years because of the complexities of running a reliable streaming system at scale. In order to remove that barrier, the team at Estuary have built the Gazette and Flow systems from the ground up to resolve the pain points of other streaming engines, while providing an intuitive interface for data and application engineers to build their streaming workflows. In this episode David Yaffe and Johnny Graettinger share the story behind the business and technology and how you can start using it today to build a real-time data lake without all of the headache.
byData Engineering Podcast
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Designing A Non-Relational Database Engine: Databases come in a variety of formats for different use cases. The default association with the term "database" is relational engines, but non-relational engines are also used quite widely. In this episode Oren Eini, CEO and creator of RavenDB, explores the nuances of relational vs. non-relational engines, and the strategies for designing a non-relational database.
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Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations: Large-scale recommendation systems are characterized by their reliance on high cardinality, heterogeneous features and the need to handle tens of billions of user actions on a daily basis. Despite being trained on huge volume of data with thousands o...
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Build Your Second Brain One Piece At A Time: Generative AI promises to accelerate the productivity of human collaborators. Currently the primary way of working with these tools is through a conversational prompt, which is often cumbersome and unwieldy. In order to simplify the integration of AI capabilities into developer workflows Tsavo Knott helped create Pieces, a powerful collection of tools that complements the tools that developers already use. In this episode he explains the data collection and preparation process, the collection of model types and sizes that work together to power the experience, and how to incorporate it into your workflow to act as a second brain.
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Setting the Standard: Impact of Method Standardization in Chromatography
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Setting the Standard: Impact of Method Standardization in Chromatography
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Data Migration Strategies For Large Scale Systems: Any software system that survives long enough will require some form of migration or evolution. When that system is responsible for the data layer the process becomes more challenging. Sriram Panyam has been involved in several projects that required migration of large volumes of data in high traffic environments. In this episode he shares some of the valuable lessons that he learned about how to make those projects successful.
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Data Migration Strategies For Large Scale Systems: Any software system that survives long enough will require some form of migration or evolution. When that system is responsible for the data layer the process becomes more challenging. Sriram Panyam has been involved in several projects that required migration of large volumes of data in high traffic environments. In this episode he shares some of the valuable lessons that he learned about how to make those projects successful.
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Quantum Questions – Murray Thom, Director of Software and Cloud Services at D-Wave Systems – How Quantum Computing Holds the Potential To Provide Answers To Many of the World’s Complex Problems: Murray Thom, director of software and cloud services at D-Wave Systems, The Quantum Computing Company (<a href="http://dwavesys.com">dwavesys.com</a>), delivers a thorough overview of quantum computing and its many uses. Thom is a...
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Quantum Questions – Murray Thom, Director of Software and Cloud Services at D-Wave Systems – How Quantum Computing Holds the Potential To Provide Answers To Many of the World’s Complex Problems: Murray Thom, director of software and cloud services at D-Wave Systems, The Quantum Computing Company (<a href="http://dwavesys.com">dwavesys.com</a>), delivers a thorough overview of quantum computing and its many uses. Thom is a...
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Pipelined Processor Farms: Structured Design for Embedded Parallel Systems

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Martin Fleury

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