A Scalable and Adaptive Network on Chip for Many-Core Architectures

In this work, a scalable network on chip (NoC) for future many-core architectures is proposed and investigated. It supports different QoS mechanisms to ensure predictable communication. Self-optimization is introduced to adapt the energy footprint and the performance of the network to the communication requirements. A fault tolerance concept allows to deal with permanent errors. Moreover, a template-based automated evaluation and design methodology and a synthesis flow for NoCs is introduced

Design and Optimization of Networks-on-Chip for Future Heterogeneous Systems-on-Chip

Due to the tight power budget and reduced time-to-market, Systems-on-Chip (SoC) have emerged as a power-efficient solution that provides the functionality required by target applications in embedded systems. To support a diverse set of applications such as real-time video/audio processing and sensor signal processing, SoCs consist of multiple heterogeneous components, such as software processors, digital signal processors, and application-specific hardware accelerators. These components offer different flexibility, power, and performance values so that SoCs can be designed by mix-and-matching them. With the increased amount of heterogeneous cores, however, the traditional interconnects in an SoC exhibit excessive power dissipation and poor performance scalability. As an alternative, Networks-on-Chip (NoC) have been proposed. NoCs provide modularity at design-time because communications among the cores are isolated from their computations via standard interfaces. NoCs also exploit communication parallelism at run-time because multiple data can be transferred simultaneously. In order to construct an efficient NoC, the communication behaviors of various heterogeneous components in an SoC must be considered with the large amount of NoC design parameters. Therefore, providing an efficient NoC design and optimization framework is critical to reduce the design cycle and address the complexity of future heterogeneous SoCs. This is the thesis of my dissertation. Some existing design automation tools for NoCs support very limited degrees of automation that cannot satisfy the requirements of future heterogeneous SoCs. First, these tools only support a limited number of NoC design parameters. Second, they do not provide an integrated environment for software-hardware co-development. Thus, I propose FINDNOC, an integrated framework for the generation, optimization, and validation of NoCs for future heterogeneous SoCs. The proposed framework supports software-hardware co-development, incremental NoC design-decision model, SystemC-based NoC customization and generation, and fast system protyping with FPGA emulations. Virtual channels (VC) and multiple physical (MP) networks are the two main alternative methods to provide better performance, support quality-of-service, and avoid protocol deadlocks in packet-switched NoC design. To examine the effect of using VCs and MPs with other NoC architectural parameters, I completed a comprehensive comparative analysis that combines an analytical model, synthesis-based designs for both FPGAs and standard-cell libraries, and system-level simulations. Based on the results of this analysis, I developed VENTTI, a design and simulation environment that combines a virtual platform (VP), a NoC synthesis tool, and four NoC models characterized at different abstraction levels. VENTTI facilitates an incremental decision-making process with four NoC abstraction models associated with different NoC parameters. The selected NoC parameters can be validated by running simulations with the corresponding model instantiated in the VP. I augmented this framework to complete FINDNOC by implementing ICON, a NoC generation and customization tool that dynamically combines and customizes synthesizable SystemC components from a predesigned library. Thanks to its flexibility and automatic network interface generation capabilities, ICON can generate a rich variety of NoCs that can be then integrated into any Embedded Scalable Platform (ESP) architectures for fast prototying with FPGA emulations. I designed FINDNOC in a modular way that makes it easy to augmenting it with new capabilities. This, combined with the continuous progress of the ESP design methodology, will provide a seamless SoC integration framework, where the hardware accelerators, software applications, and NoCs can be designed, validated, and integrated simultaneously, in order to reduce the design cycle of future SoC platforms

Sixth Goddard Conference on Mass Storage Systems and Technologies Held in Cooperation with the Fifteenth IEEE Symposium on Mass Storage Systems

This document contains copies of those technical papers received in time for publication prior to the Sixth Goddard Conference on Mass Storage Systems and Technologies which is being held in cooperation with the Fifteenth IEEE Symposium on Mass Storage Systems at the University of Maryland-University College Inn and Conference Center March 23-26, 1998. As one of an ongoing series, this Conference continues to provide a forum for discussion of issues relevant to the management of large volumes of data. The Conference encourages all interested organizations to discuss long term mass storage requirements and experiences in fielding solutions. Emphasis is on current and future practical solutions addressing issues in data management, storage systems and media, data acquisition, long term retention of data, and data distribution. This year's discussion topics include architecture, tape optimization, new technology, performance, standards, site reports, vendor solutions. Tutorials will be available on shared file systems, file system backups, data mining, and the dynamics of obsolescence

Laboratory Directed Research and Development Program FY 2004 Annual Report

The Oak Ridge National Laboratory (ORNL) Laboratory Directed Research and Development (LDRD) Program reports its status to the U.S. Department of Energy (DOE) in March of each year. The program operates under the authority of DOE Order 413.2A, 'Laboratory Directed Research and Development' (January 8, 2001), which establishes DOE's requirements for the program while providing the Laboratory Director broad flexibility for program implementation. LDRD funds are obtained through a charge to all Laboratory programs. This report describes all ORNL LDRD research activities supported during FY 2004 and includes final reports for completed projects and shorter progress reports for projects that were active, but not completed, during this period. The FY 2004 ORNL LDRD Self-Assessment (ORNL/PPA-2005/2) provides financial data about the FY 2004 projects and an internal evaluation of the program's management process. ORNL is a DOE multiprogram science, technology, and energy laboratory with distinctive capabilities in materials science and engineering, neutron science and technology, energy production and end-use technologies, biological and environmental science, and scientific computing. With these capabilities ORNL conducts basic and applied research and development (R&D) to support DOE's overarching national security mission, which encompasses science, energy resources, environmental quality, and national nuclear security. As a national resource, the Laboratory also applies its capabilities and skills to the specific needs of other federal agencies and customers through the DOE Work For Others (WFO) program. Information about the Laboratory and its programs is available on the Internet at <http://www.ornl.gov/>. LDRD is a relatively small but vital DOE program that allows ORNL, as well as other multiprogram DOE laboratories, to select a limited number of R&D projects for the purpose of: (1) maintaining the scientific and technical vitality of the Laboratory; (2) enhancing the Laboratory's ability to address future DOE missions; (3) fostering creativity and stimulating exploration of forefront science and technology; (4) serving as a proving ground for new research; and (5) supporting high-risk, potentially high-value R&D. Through LDRD the Laboratory is able to improve its distinctive capabilities and enhance its ability to conduct cutting-edge R&D for its DOE and WFO sponsors. To meet the LDRD objectives and fulfill the particular needs of the Laboratory, ORNL has established a program with two components: the Director's R&D Fund and the Seed Money Fund. As outlined in Table 1, these two funds are complementary. The Director's R&D Fund develops new capabilities in support of the Laboratory initiatives, while the Seed Money Fund is open to all innovative ideas that have the potential for enhancing the Laboratory's core scientific and technical competencies. Provision for multiple routes of access to ORNL LDRD funds maximizes the likelihood that novel and seminal ideas with scientific and technological merit will be recognized and supported

Programming Languages and Systems

This open access book constitutes the proceedings of the 31st European Symposium on Programming, ESOP 2022, which was held during April 5-7, 2022, in Munich, Germany, as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2022. The 21 regular papers presented in this volume were carefully reviewed and selected from 64 submissions. They deal with fundamental issues in the specification, design, analysis, and implementation of programming languages and systems

Understanding Quantum Technologies 2022

Understanding Quantum Technologies 2022 is a creative-commons ebook that provides a unique 360 degrees overview of quantum technologies from science and technology to geopolitical and societal issues. It covers quantum physics history, quantum physics 101, gate-based quantum computing, quantum computing engineering (including quantum error corrections and quantum computing energetics), quantum computing hardware (all qubit types, including quantum annealing and quantum simulation paradigms, history, science, research, implementation and vendors), quantum enabling technologies (cryogenics, control electronics, photonics, components fabs, raw materials), quantum computing algorithms, software development tools and use cases, unconventional computing (potential alternatives to quantum and classical computing), quantum telecommunications and cryptography, quantum sensing, quantum technologies around the world, quantum technologies societal impact and even quantum fake sciences. The main audience are computer science engineers, developers and IT specialists as well as quantum scientists and students who want to acquire a global view of how quantum technologies work, and particularly quantum computing. This version is an extensive update to the 2021 edition published in October 2021.Comment: 1132 pages, 920 figures, Letter forma

Programming Languages and Systems

This open access book constitutes the proceedings of the 31st European Symposium on Programming, ESOP 2022, which was held during April 5-7, 2022, in Munich, Germany, as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2022. The 21 regular papers presented in this volume were carefully reviewed and selected from 64 submissions. They deal with fundamental issues in the specification, design, analysis, and implementation of programming languages and systems

Shortest Route at Dynamic Location with Node Combination-Dijkstra Algorithm

Abstract— Online transportation has become a basic requirement of the general public in support of all activities to go to work, school or vacation to the sights. Public transportation services compete to provide the best service so that consumers feel comfortable using the services offered, so that all activities are noticed, one of them is the search for the shortest route in picking the buyer or delivering to the destination. Node Combination method can minimize memory usage and this methode is more optimal when compared to A* and Ant Colony in the shortest route search like Dijkstra algorithm, but can’t store the history node that has been passed. Therefore, using node combination algorithm is very good in searching the shortest distance is not the shortest route. This paper is structured to modify the node combination algorithm to solve the problem of finding the shortest route at the dynamic location obtained from the transport fleet by displaying the nodes that have the shortest distance and will be implemented in the geographic information system in the form of map to facilitate the use of the system. Keywords— Shortest Path, Algorithm Dijkstra, Node Combination, Dynamic Location (key words