Luigi Carro – författare

As embedded systems become more complex, designers face a number of challenges at different levels: they need to boost performance, while keeping energy consumption as low as possible, they need to reuse existent software code, and at the same time they need to take advantage of the extra logic available in the chip, represented by multiple processors working together.  This book describes several strategies to achieve such different and interrelated goals, by the use of adaptability. Coverage includes reconfigurable systems, dynamic optimization techniques such as binary translation and trace reuse, new memory architectures including homogeneous and heterogeneous multiprocessor systems, communication issues and NOCs, fault tolerance against fabrication defects and soft errors, and finally, how one can combine several of these techniques together to achieve higher levels of performance and adaptability.  The discussion also includes how to employ specialized software to improve this new adaptive system, and how this new kind of software must be designed and programmed.

As embedded systems become more complex, designers face a number of challenges at different levels: they need to boost performance, while keeping energy consumption as low as possible, they need to reuse existent software code, and at the same time they need to take advantage of the extra logic available in the chip, represented by multiple processors working together.  This book describes several strategies to achieve such different and interrelated goals, by the use of adaptability. Coverage includes reconfigurable systems, dynamic optimization techniques such as binary translation and trace reuse, new memory architectures including homogeneous and heterogeneous multiprocessor systems, communication issues and NOCs, fault tolerance against fabrication defects and soft errors, and finally, how one can combine several of these techniques together to achieve higher levels of performance and adaptability.  The discussion also includes how to employ specialized software to improve this new adaptive system, and how this new kind of software must be designed and programmed.

The two-volume set LNCS 15226 and 15227 constitutes the refereed proceedings of the 24th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2024, held in Samos, Greece, during June 29–July 4, 2024.The 24 full papers, 10 full papers in 2 special sessions and 4 poster session included in this book were carefully reviewed and selected from 57 submissions. This SAMOS 2024 covers the topics systems themselves - through their applications; architectures; and underlying processors - or methods created to automate their design.

The two-volume set LNCS 15226 and 15227 constitutes the refereed proceedings of the 24th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2024, held in Samos, Greece,  during June 29–July 4, 2024.The 24 full papers, 10 invited full papers and 4 poster papers included in the proceedings were carefully reviewed and selected from 57 submissions. They deal with embedded computer systems focusing on their applications; architectures; and underlying processors, as well as methods created to automate their design.

This book constitutes the refereed proceedings of the 13th International Symposium on Applied Reconfigurable Computing, ARC 2017, held in Delft, The Netherlands, in April 2017. The 17 full papers and 11 short papers presented in this volume were carefully reviewed and selected from 49 submissions.

Dynamic Reconfigurable Architectures and Transparent Optimization Techniques presents a detailed study on new techniques to cope with the aforementioned limitations. First, characteristics of reconfigurable systems are discussed in details, and a large number of case studies is shown. Then, a detailed analysis of several benchmarks demonstrates that such architectures need to attack a diverse range of applications with very different behaviours, besides supporting code compatibility. This requires the use of dynamic optimization techniques, such as Binary Translation and Trace reuse. Finally, works that combine both reconfigurable systems and dynamic techniques are discussed and a quantitative analysis of one them, the DIM architecture, is presented.