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Embedded Computer Systems: Architectures, Modeling, and Simulation
This book constitutes the refereed proceedings of the 8th International Workshop on Systems, Architectures, Modeling, and Simulation, SAMOS 2008, held in Samos, Greece, in July 2008. The 24 revised full papers presented together with a contamplative keynote and additional papers of two special workshop sessions were carefully reviewed and selected from 62 submissions. The papers are organized in topical sections on architecture, new frontiers, SoC, application specific contributions, system level design for heterogeneous systems, programming multicores, sensors and sensor networks; and systems modeling and design.
Towards a Common Software/Hardware Methodology for Future Advanced Driver Assistance Systems
The European research project DESERVE (DEvelopment platform for Safe and Efficient dRiVE, 2012-2015) had the aim of designing and developing a platform tool to cope with the continuously increasing complexity and the simultaneous need to reduce cost for future embedded Advanced Driver Assistance Systems (ADAS). For this purpose, the DESERVE platform profits from cross-domain software reuse, standardization of automotive software component interfaces, and easy but safety-compliant integration of heterogeneous modules. This enables the development of a new generation of ADAS applications, which challengingly combine different functions, sensors, actuators, hardware platforms, and Human Machine...
Embedded Computer Systems: Architectures, Modeling, and Simulation
This book constitutes the refereed proceedings of the 19th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2019, held in Pythagorion, Samos, Greece, in July 2019. The 21 regular papers presented were carefully reviewed and selected from 55 submissions. The papers are organized in topical sections on system design space exploration; deep learning optimization; system security; multi/many-core scheduling; system energy and heat management; many-core communication; and electronic system-level design and verification. In addition there are 13 papers from three special sessions which were organized on topics of current interest: insights from negative results; machine learning implementations; and European projects.
Embedded Computer Systems: Architectures, Modeling, and Simulation
This book constitutes the refereed proceedings of the 20th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2020, held in Samos, Greece, in July 2020.* The 16 regular papers presented were carefully reviewed and selected from 35 submissions. In addition, 9 papers from two special sessions were included, which were organized on topics of current interest: innovative architectures for security and European projects on embedded and high performance computing for health applications. * The conference was held virtually due to the COVID-19 pandemic.
Big Data Analytics for Cyber-Physical Systems
Approx.374 pages
Computer Systems: Architectures, Modeling, and Simulation
This book constitutes the refereed proceedings of the 4th International Workshop on Systems, Architectures, Modeling, and Simulation, SAMOS 2004, held in Samos, Greece on July 2004. Besides the SAMOS 2004 proceedings, the book also presents 19 revised papers from the predecessor workshop SAMOS 2003. The 55 revised full papers presented were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections on reconfigurable computing, architectures and implementation, and systems modeling and simulation.
Embedded Computer Systems: Architectures, Modeling, and Simulation
This book constitutes the refereed proceedings of the 6th International Workshop on Systems, Architectures, Modeling, and Simulation, SAMOS 2006, held in Samos, Greece on July 2006. The 47 revised full papers presented together with 2 keynote talks were thoroughly reviewed and selected from 130 submissions. The papers are organized in topical sections on system design and modeling, wireless sensor networks, processor design, dependable computing, architectures and implementations, and embedded sensor systems.
3D-TV System with Depth-Image-Based Rendering
Riding on the success of 3D cinema blockbusters and advances in stereoscopic display technology, 3D video applications have gathered momentum in recent years. 3D-TV System with Depth-Image-Based Rendering: Architectures, Techniques and Challenges surveys depth-image-based 3D-TV systems, which are expected to be put into applications in the near future. Depth-image-based rendering (DIBR) significantly enhances the 3D visual experience compared to stereoscopic systems currently in use. DIBR techniques make it possible to generate additional viewpoints using 3D warping techniques to adjust the perceived depth of stereoscopic videos and provide for auto-stereoscopic displays that do not require ...
Embedded Computer Systems: Architectures, Modeling, and Simulation
This book constitutes the proceedings of the 22st International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2021, which took place in July 2022 in Samos, Greece. The 11 full papers and 7 short papers presented in this volume were carefully reviewed and selected from 45 submissions. The conference covers a wide range of embedded systems design aspects, including machine learning accelerators, and power management and programmable dataflow systems.
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.
