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This book uses automotive embedded systems as an example to
introduce functional safety assurance and safety-aware cost
optimization. The book explores functional safety assurance from
the perspectives of verification, enhancement, and validation. The
functional safety assurance methods implement a safe and efficient
assurance system that integrates safety verification, enhancement,
and validation. The assurance methods offered in this book could
provide a reasonable and scientific theoretical basis for the
subsequent formulation of automotive functional safety standards.
The safety-aware cost optimization methods divide cost types
according to the essential differences of various costs in system
design and establish reasonable models based on different costs.
The cost optimization methods provided in this book could give
appropriate cost optimization solutions for the cost-sensitive
automotive industry, thereby achieving effective cost management
and control. Functional safety assurance methods and safety-aware
cost optimization support each other and jointly build the
architecture of functional safety design methodologies for
automotive embedded systems. The work aspires to provide a relevant
reference for students, researchers, engineers, and professionals
working in this area or those interested in hardware cost
optimization and development cost optimization design methods based
on ensuring functional safety in general.
This book will serve as a guide in understanding workflow
scheduling techniques on computing systems such as Cluster,
Supercomputers, Grid computing, Cloud computing, Edge computing,
Fog computing, and the practical realization of such methods. It
offers a whole new perspective and holistic approach in
understanding computing systems' workflow scheduling. Expressing
and exposing approaches for various process-centric cloud-based
applications give a full coverage of most systems' energy
consumption, reliability, resource utilization, cost, and
application stochastic computation. By combining theory with
application and connecting mathematical concepts and models with
their resource management targets, this book will be equally
accessible to readers with both Computer Science and Engineering
backgrounds. It will be of great interest to students and
professionals alike in the field of computing system design,
management, and application. This book will also be beneficial to
the general audience and technology enthusiasts who want to expand
their knowledge on computer structure.
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Parallel Computational Fluid Dynamics - 25th International Conference, ParCFD 2013, Changsha, China, May 20-24, 2013. Revised Selected Papers (Paperback, 2014 ed.)
Kenli Li, Zheng Xiao, Yan Wang, Jiayi Du, Keqin Li
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R4,846
Discovery Miles 48 460
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the 25th
International Conference on Parallel Computational Fluid Dynamics,
ParCFD 2013, held in Changsha, China, in May 2013. The 35 revised
full papers presented were carefully reviewed and selected from
more than 240 submissions. The papers address issues such as
parallel algorithms, developments in software tools and
environments, unstructured adaptive mesh applications, industrial
applications, atmospheric and oceanic global simulation,
interdisciplinary applications and evaluation of computer
architectures and software environments.
Advances in optical technologies have made it possible to implement
optical interconnections in future massively parallel processing
systems. Photons are non-charged particles, and do not naturally
interact. Consequently, there are many desirable characteristics of
optical interconnects, e.g. high speed (speed of light), increased
fanout, high bandwidth, high reliability, longer interconnection
lengths, low power requirements, and immunity to EMI with reduced
crosstalk. Optics can utilize free-space interconnects as well as
guided wave technology, neither of which has the problems of VLSI
technology mentioned above. Optical interconnections can be built
at various levels, providing chip-to-chip, module-to-module,
board-to-board, and node-to-node communications. Massively parallel
processing using optical interconnections poses new challenges; new
system configurations need to be designed, scheduling and data
communication schemes based on new resource metrics need to be
investigated, algorithms for a wide variety of applications need to
be developed under the novel computation models that optical
interconnections permit, and so on. Parallel Computing Using
Optical Interconnections is a collection of survey articles written
by leading and active scientists in the area of parallel computing
using optical interconnections. This is the first book which
provides current and comprehensive coverage of the field, reflects
the state of the art from high-level architecture design and
algorithmic points of view, and points out directions for further
research and development.
Advances in optical technologies have made it possible to implement
optical interconnections in future massively parallel processing
systems. Photons are non-charged particles, and do not naturally
interact. Consequently, there are many desirable characteristics of
optical interconnects, e.g. high speed (speed of light), increased
fanout, high bandwidth, high reliability, longer interconnection
lengths, low power requirements, and immunity to EMI with reduced
crosstalk. Optics can utilize free-space interconnects as well as
guided wave technology, neither of which has the problems of VLSI
technology mentioned above. Optical interconnections can be built
at various levels, providing chip-to-chip, module-to-module,
board-to-board, and node-to-node communications. Massively parallel
processing using optical interconnections poses new challenges; new
system configurations need to be designed, scheduling and data
communication schemes based on new resource metrics need to be
investigated, algorithms for a wide variety of applications need to
be developed under the novel computation models that optical
interconnections permit, and so on. Parallel Computing Using
Optical Interconnections is a collection of survey articles written
by leading and active scientists in the area of parallel computing
using optical interconnections. This is the first book which
provides current and comprehensive coverage of the field, reflects
the state of the art from high-level architecture design and
algorithmic points of view, and points out directions for further
research and development.
This book focuses on scheduling algorithms for parallel
applications on heterogeneous distributed systems, and addresses
key scheduling requirements - high performance, low energy
consumption, real time, and high reliability - from the
perspectives of both theory and engineering practice. Further, it
examines two typical application cases in automotive cyber-physical
systems and cloud systems in detail, and discusses scheduling
challenges in connection with resource costs, reliability and low
energy. The book offers a comprehensive and systematic treatment of
high-performance, low energy consumption, and high reliability
issues on heterogeneous distributed systems, making it a
particularly valuable resource for researchers, engineers and
graduate students in the fields of computer science and
engineering, information science and engineering, and automotive
engineering, etc. The wealth of motivational examples with figures
and tables make it easy to understand.
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