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Synthesis of Embedded Software
Embedded software is ubiquitous today. There are millions of lines of embedded code in smart phones, and even more in systems responsible for automotive control, avionics control, weapons control and space missions. Some of these are safety-critical systems whose correctness, timely response, and reliability are of paramount importance. These requirement pose new challenges to system designers. This necessitates that a proper design science, based on "constructive correctness" be developed. Correct-by-construction design and synthesis of embedded software is done in a way so that post-development verification is minimized, and correct operation of embedded systems is maximized. This book presents the state of the art in the design of safety-critical, embedded software. It introduced readers to three major approaches to specification driven, embedded software synthesis/construction: synchronous programming based approaches, models of computation based approaches, and an approach based on concurrent programming with a co-design focused language. It is an invaluable reference for practitioners and researchers concerned with improving the product development life-cycle.
Towards System Safety
Each year the Safety-critical Systems Symposium brings together practitioners and researchers in a quest to inculcate a higher degree of safety engineering into the development and operation of critical software-based systems. On this, the Symposium's seventh occasion, it explores recent work and experience which lead us further 'towards system safety'. This book of the Proceedings covers the entire event. The first paper is the course text of a tutorial run on the first day of the Symposium, included here to provide readers with a coverage of the entire event. The next fourteen papers were presented, on the second and third days, in six sessions: Safety Cases, Systems Engineering, Safety An...
Handbook of Data Intensive Computing
Data Intensive Computing refers to capturing, managing, analyzing, and understanding data at volumes and rates that push the frontiers of current technologies. The challenge of data intensive computing is to provide the hardware architectures and related software systems and techniques which are capable of transforming ultra-large data into valuable knowledge. Handbook of Data Intensive Computing is written by leading international experts in the field. Experts from academia, research laboratories and private industry address both theory and application. Data intensive computing demands a fundamentally different set of principles than mainstream computing. Data-intensive applications typically are well suited for large-scale parallelism over the data and also require an extremely high degree of fault-tolerance, reliability, and availability. Real-world examples are provided throughout the book. Handbook of Data Intensive Computing is designed as a reference for practitioners and researchers, including programmers, computer and system infrastructure designers, and developers. This book can also be beneficial for business managers, entrepreneurs, and investors.
Computer Algebra Handbook
This Handbook gives a comprehensive snapshot of a field at the intersection of mathematics and computer science with applications in physics, engineering and education. Reviews 67 software systems and offers 100 pages on applications in physics, mathematics, computer science, engineering chemistry and education.
Formal Techniques for Distributed Objects, Components, and Systems
This book constitutes the proceedings of the 35th IFIP WG 6.1 International Conference on Formal Techniques for Distributed Objects, Components and Systems, FORTE 2015, held in Grenoble, France, in June 2015, as part of the 10th International Federated Conference on Distributed Computing Techniques, DisCoTec 2015. The 15 revised full papers presented were carefully reviewed and selected from 53 submissions. The papers present a wide range of topics on distributed computing models and formal specification, testing, and verification methods.
Practical Aspects of Declarative Languages
Declarative languages build on sound theoretical bases to provide attractive frameworks for application development. These languages have been succe- fully applied to a wide variety of real-world situations including database m- agement, active networks, software engineering, and decision-support systems. New developments in theory and implementation expose fresh opportunities. At the same time, the application of declarative languages to novel problems raises numerous interesting research issues. These well-known questions include scalability, language extensions for application deployment, and programming environments. Thus, applications drive the progress in the theory and imp- mentation of declarative systems, and in turn bene?t from this progress. The International Symposium on Practical Applications of Declarative L- guages (PADL) provides a forum for researchers, practitioners, and implementors of declarative languages to exchange ideas on current and novel application - eas and on the requirements for e?ective use of declarative systems. The fourth PADL symposium was held in Portland, Oregon, on January 19 and 20, 2002.
Euro-Par’ 99 Parallel Processing
Euro-Parisaninternationalconferencededicatedtothepromotionandadvan- ment of all aspects of parallel computing. The major themes can be divided into the broad categories of hardware, software, algorithms and applications for p- allel computing. The objective of Euro-Par is to provide a forum within which to promote the development of parallel computing both as an industrial te- nique and an academic discipline, extending the frontier of both the state of the art and the state of the practice. This is particularly important at a time when parallel computing is undergoing strong and sustained development and experiencing real industrial take-up. The main audience for and participants in Euro-Pa...
STACS 2002
This book constitutes the refereed proceedings of the 19th Annual Symposium on Theoretical Aspects of Computer Science, STACS 2002, held in Antibes - Juan les Pins, France, in March 2002. The 50 revised full papers presented together with three invited papers were carefully reviewed and selected from a total of 209 submissions. The book offers topical sections on algorithms, current challenges, computational and structural complexity, automata and formal languages, and logic in computer science.
Euro-Par 2011 Parallel Processing
The two-volume set LNCS 6852/6853 constitutes the refereed proceedings of the 17th International Euro-Par Conference held in Bordeaux, France, in August/September 2011. The 81 revised full papers presented were carefully reviewed and selected from 271 submissions. The papers are organized in topical sections on support tools and environments; performance prediction and evaluation; scheduling and load-balancing; high-performance architectures and compilers; parallel and distributed data management; grid, cluster and cloud computing; peer to peer computing; distributed systems and algorithms; parallel and distributed programming; parallel numerical algorithms; multicore and manycore programming; theory and algorithms for parallel computation; high performance networks and mobile ubiquitous computing.
Big Data and HPC: Ecosystem and Convergence
Due to the increasing need to solve complex problems, high-performance computing (HPC) is now one of the most fundamental infrastructures for scientific development in all disciplines, and it has progressed massively in recent years as a result. HPC facilitates the processing of big data, but the tremendous research challenges faced in recent years include: the scalability of computing performance for high velocity, high variety and high volume big data; deep learning with massive-scale datasets; big data programming paradigms on multi-core; GPU and hybrid distributed environments; and unstructured data processing with high-performance computing. This book presents 19 selected papers from the TopHPC2017 congress on Advances in High-Performance Computing and Big Data Analytics in the Exascale era, held in Tehran, Iran, in April 2017. The book is divided into 3 sections: State of the Art and Future Scenarios, Big Data Challenges, and HPC Challenges, and will be of interest to all those whose work involves the processing of Big Data and the use of HPC.
