Search

Your search keyword '"Clifford, Ben"' showing total 298 results
Start Over Author "Clifford, Ben"

Refine your results

more »

more »

more »

more »
298 results on '"Clifford, Ben"'

3. Part II. Conditions

Author

Vigar, Geoff, Tait, Malcolm, Slade, Jason, Schoneboom, Abigail, Inch, Andy, Gunn, Susannah, and Clifford, Ben

Published
2024

5. Index

Author

Vigar, Geoff, Tait, Malcolm, Slade, Jason, Schoneboom, Abigail, Inch, Andy, Gunn, Susannah, and Clifford, Ben

Published
2024

7. Appendix on methodology

Author

Vigar, Geoff, Tait, Malcolm, Slade, Jason, Schoneboom, Abigail, Inch, Andy, Gunn, Susannah, and Clifford, Ben

Published
2024

8. 9. Professionalism and planning

Author

Vigar, Geoff, Tait, Malcolm, Slade, Jason, Schoneboom, Abigail, Inch, Andy, Gunn, Susannah, and Clifford, Ben

Published
2024

10. References

Author

Vigar, Geoff, Tait, Malcolm, Slade, Jason, Schoneboom, Abigail, Inch, Andy, Gunn, Susannah, and Clifford, Ben

Published
2024

15. 7 Commercialisation and planning

Author

Vigar, Geoff, Tait, Malcolm, Slade, Jason, Schoneboom, Abigail, Inch, Andy, Gunn, Susannah, and Clifford, Ben

Published
2024

16. Preface

Author

Vigar, Geoff, Tait, Malcolm, Slade, Jason, Schoneboom, Abigail, Inch, Andy, Gunn, Susannah, and Clifford, Ben

Published
2024

17. Notes

Author

Vigar, Geoff, Tait, Malcolm, Slade, Jason, Schoneboom, Abigail, Inch, Andy, Gunn, Susannah, and Clifford, Ben

Published
2024

18. Table of Contents

Author

Vigar, Geoff, Tait, Malcolm, Slade, Jason, Schoneboom, Abigail, Inch, Andy, Gunn, Susannah, and Clifford, Ben

Published
2024

19. Front Cover

Author

Vigar, Geoff, Tait, Malcolm, Slade, Jason, Schoneboom, Abigail, Inch, Andy, Gunn, Susannah, and Clifford, Ben

Published
2024

20. List of figures, tables and boxes

Author

Vigar, Geoff, Tait, Malcolm, Slade, Jason, Schoneboom, Abigail, Inch, Andy, Gunn, Susannah, and Clifford, Ben

Published
2024

21. Front Matter

Author

Vigar, Geoff, Tait, Malcolm, Slade, Jason, Schoneboom, Abigail, Inch, Andy, Gunn, Susannah, and Clifford, Ben

Published
2024

22. Index

Author

Morphet, Janice and Clifford, Ben

Published
2020

26. References

Author

Morphet, Janice and Clifford, Ben

Published
2020

29. Preface

Author

Morphet, Janice and Clifford, Ben

Published
2020

30. Cover

Author

Morphet, Janice and Clifford, Ben

Published
2020

31. Back Cover

Author

Morphet, Janice and Clifford, Ben

Published
2020

36. Major Infrastructure Planning and Delivery

Author

Clifford, Ben and Morphet, Janice

Subjects
infrastructure, urban planning, urban studies, transport studies, policy, governance, energy schemes, planning, Nationally Significant Infrastructure Projects, NSIP, power stations, renewable energy schemes, motorways, railways, development, Net Zero, infrastructure projects, A14, Thames Tideway super sewer, Galloper offshore windfarm, Progress Power station, local government, local communities, construction, government planning reform, climate change, Brexit, major infrastructure planning, government policy, late capitalism, bic Book Industry Communication::R Earth sciences, geography, environment, planning::RP Regional & area planning::RPC Urban & municipal planning, bic Book Industry Communication::J Society & social sciences::JF Society & culture: general::JFS Social groups::JFSG Urban communities, bic Book Industry Communication::R Earth sciences, geography, environment, planning::RP Regional & area planning::RPT Transport planning & policy, bic Book Industry Communication::A The arts::AM Architecture::AMV Landscape art & architecture::AMVD City & town planning - architectural aspects
Abstract

Major Infrastructure Planning and Delivery introduces the system for planning and consenting Nationally Significant Infrastructure Projects (NSIPs) in England (which has also applied for some schemes in Wales). These are the major projects involving power stations and large renewable energy schemes, motorways, railways and a range of other high profile, high impact and sometimes controversial development schemes, including some closely linked to the UK’s transition to net zero. The book explains where this separate system for governing major infrastructure came from and how it operates in practice, with a particular focus on the relationship between planning, consent and delivery of these infrastructure projects. Detailed case studies of the A14 highway, Thames Tideway super sewer, Galloper offshore windfarm and Progress Power station, drawing on research by the authors, illustrate issues of the often overlooked continuing role of local government, the engagement of local communities and stakeholders, and the modification of schemes between consent and construction. At a time of ongoing government planning reform, increased concern about climate change, and still unresolved consequences of Brexit, as well as timeless debates such as over national need versus local impact, this timely book offers rich detail on the particular approach to major infrastructure planning in England, but also speaks to wider issues around the governance of development and implementation of government policy under late capitalism.

Published
2023
Full Text
View/download PDF

37. The Changing Role of RSEs over the Lifetime of Parsl

Author

Katz, Daniel S., Clifford, Ben, Babuji, Yadu, Kesling, Kevin Hunter, Woodard, Anna, and Chard, Kyle

Subjects
Computer Science - Software Engineering
Abstract

This position paper describes the Parsl open source research software project and its various phases over seven years. It defines four types of research software engineers (RSEs) who have been important to the project in those phases; we believe this is also applicable to other research software projects., Comment: 3 pages

Published
2023

39. Extended Abstract: Productive Parallel Programming with Parsl

Author

Chard, Kyle, Babuji, Yadu, Woodard, Anna, Clifford, Ben, Li, Zhuozhao, Hategan, Mihael, Foster, Ian, Wilde, Mike, and Katz, Daniel S.

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing
Abstract

Parsl is a parallel programming library for Python that aims to make it easy to specify parallelism in programs and to realize that parallelism on arbitrary parallel and distributed computing systems. Parsl relies on developers annotating Python functions-wrapping either Python or external applications-to indicate that these functions may be executed concurrently. Developers can then link together functions via the exchange of data. Parsl establishes a dynamic dependency graph and sends tasks for execution on connected resources when dependencies are resolved. Parsl's runtime system enables different compute resources to be used, from laptops to supercomputers, without modification to the Parsl program.

Published
2022
Full Text
View/download PDF

42. Parsl: Pervasive Parallel Programming in Python

Author

Babuji, Yadu, Woodard, Anna, Li, Zhuozhao, Katz, Daniel S., Clifford, Ben, Kumar, Rohan, Lacinski, Lukasz, Chard, Ryan, Wozniak, Justin M., Foster, Ian, Wilde, Michael, and Chard, Kyle

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Programming Languages
Abstract

High-level programming languages such as Python are increasingly used to provide intuitive interfaces to libraries written in lower-level languages and for assembling applications from various components. This migration towards orchestration rather than implementation, coupled with the growing need for parallel computing (e.g., due to big data and the end of Moore's law), necessitates rethinking how parallelism is expressed in programs. Here, we present Parsl, a parallel scripting library that augments Python with simple, scalable, and flexible constructs for encoding parallelism. These constructs allow Parsl to construct a dynamic dependency graph of components that it can then execute efficiently on one or many processors. Parsl is designed for scalability, with an extensible set of executors tailored to different use cases, such as low-latency, high-throughput, or extreme-scale execution. We show, via experiments on the Blue Waters supercomputer, that Parsl executors can allow Python scripts to execute components with as little as 5 ms of overhead, scale to more than 250 000 workers across more than 8000 nodes, and process upward of 1200 tasks per second. Other Parsl features simplify the construction and execution of composite programs by supporting elastic provisioning and scaling of infrastructure, fault-tolerant execution, and integrated wide-area data management. We show that these capabilities satisfy the needs of many-task, interactive, online, and machine learning applications in fields such as biology, cosmology, and materials science.

Published
2019
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results