Memory Consistency and Cache Coherency in Network-on-Chip Based Multi-Core Systems

The complexity of modern Systems-on-Chips (SoC) is increasing with technology innovations. Designers of such systems are devoting significant attention not only to computation attributes, but increasingly more and more on communications characteristics. Having in mind scalability challenges, Networks-on-Chip (NoC) are already de facto standard for the communication backbone of SoC systems. As such, those systems are targeting more and more parallel execution of user defined, real-time applications, but the computer engineering society aims at hiding underlying platform specific characteristics and providing user with platform-independent services. Shared memory services are quite often a needed crucial property of such systems, therefore providing a coherent view, ensuring memory consistency, and still achieving the desired performance system characteristics is a huge challenge for scientists nowadays. With the invention of 3D integration, and opportunities of stacking memory modules on top of it, the concept of scalable shared memory will be one of the main memory access concepts besides message passing. In this thesis, the concept of a scalable coherency protocol which dynamically adopts to inputs of system and shared resources, is presented. Protocol ingredients, structure and internal modules interaction are described in detail. The conceptual idea of this protocol, influenced by widely accepted best practices in bus based systems as well of other NoC systems, is implemented for one particular type of NoC platform - XhiNoC (extendable Hierarchical Network-on Chip). The feasibility of the presented concept for distributed shared memory (DSM) coherency within NoC-based SoC architectures is confirmed by simulation-based experimental results.The complexity of modern Systems-on-Chips (SoC) is increasing with technology innovations. Designers of such systems are devoting significant attention not only to computation attributes, but increasingly more and more on communications characteristics. Having in mind scalability challenges, Networks-on-Chip (NoC) are already de facto standard for the communication backbone of SoC systems. As such, those systems are targeting more and more parallel execution of user defined, real-time applications, but the computer engineering society aims at hiding underlying platform specific characteristics and providing user with platform-independent services. Shared memory services are quite often a needed crucial property of such systems, therefore providing a coherent view, ensuring memory consistency, and still achieving the desired performance system characteristics is a huge challenge for scientists nowadays. With the invention of 3D integration, and opportunities of stacking memory modules on top of it, the concept of scalable shared memory will be one of the main memory access concepts besides message passing. In this thesis, the concept of a scalable coherency protocol which dynamically adopts to inputs of system and shared resources, is presented. Protocol ingredients, structure and internal modules interaction are described in detail. The conceptual idea of this protocol, influenced by widely accepted best practices in bus based systems as well of other NoC systems, is implemented for one particular type of NoC platform - XhiNoC (extendable Hierarchical Network-on Chip). The feasibility of the presented concept for distributed shared memory (DSM) coherency within NoC-based SoC architectures is confirmed by simulation-based experimental results

Fog computing, applications , security and challenges, review

The internet of things originates a world where on daily basis objects can join the internet and interchange information and in addition process, store, gather them from the nearby environment, and effectively mediate on it. A remarkable number of services might be imagined by abusing the internet of things. Fog computing which is otherwise called edge computing was introduced in 2012 as a considered is a prioritized choice for the internet of things applications. As fog computing extend services of cloud near to the edge of the network and make possible computations, communications, and storage services in proximity to the end user. Fog computing cannot only provide low latency, location awareness but also enhance real-time applications, quality of services, mobility, security and privacy in the internet of things applications scenarios. In this paper, we will summarize and overview fog computing model architecture, characteristic, similar paradigm and various applications in real-time scenarios such as smart grid, traffic control system and augmented reality. Finally, security challenges are presented

Radiation safety based on the sky shine effect in reactor

In the reactor operation, neutrons and gamma rays are the most dominant radiation. As protection, lead and concrete shields are built around the reactor. However, the radiation can penetrate the water shielding inside the reactor pool. This incident leads to the occurrence of sky shine where a physical phenomenon of nuclear radiation sources was transmitted panoramic that extends to the environment. The effect of this phenomenon is caused by the fallout radiation into the surrounding area which causes the radiation dose to increase. High doses of exposure cause a person to have stochastic effects or deterministic effects. Therefore, this study was conducted to measure the radiation dose from sky shine effect that scattered around the reactor at different distances and different height above the reactor platform. In this paper, the analysis of the radiation dose of sky shine effect was measured using the experimental metho

Design of TSV-sharing topologies for cost-effective 3D networks-on-chip

The Through-Silicon Via (TSV) technology has led to major breakthroughs in 3D stacking by providing higher speed and bandwidth, as well as lower power dissipation for the inter-layer communication. However, the current TSV fabrication suffers from a considerable area footprint and yield loss. Thus, it is necessary to restrict the number of TSVs in order to design cost-effective 3D on-chip networks. This critical issue can be addressed by clustering the network such that all of the routers within each cluster share a single TSV pillar for the vertical packet transmission. In some of the existing topologies, additional cluster routers are augmented into the mesh structure to handle the shared TSVs. However, they impose either performance degradation or power/area overhead to the system. Furthermore, the resulting architecture is no longer a mesh. In this paper, we redefine the clusters by replacing some routers in the mesh with the cluster routers, such that the mesh structure is preserved. The simulation results demonstrate a better equilibrium between performance and cost, using the proposed models

Nature-Inspired Interconnects for Self-Assembled Large-Scale Network-on-Chip Designs

Future nano-scale electronics built up from an Avogadro number of components needs efficient, highly scalable, and robust means of communication in order to be competitive with traditional silicon approaches. In recent years, the Networks-on-Chip (NoC) paradigm emerged as a promising solution to interconnect challenges in silicon-based electronics. Current NoC architectures are either highly regular or fully customized, both of which represent implausible assumptions for emerging bottom-up self-assembled molecular electronics that are generally assumed to have a high degree of irregularity and imperfection. Here, we pragmatically and experimentally investigate important design trade-offs and properties of an irregular, abstract, yet physically plausible 3D small-world interconnect fabric that is inspired by modern network-on-chip paradigms. We vary the framework's key parameters, such as the connectivity, the number of switch nodes, the distribution of long- versus short-range connections, and measure the network's relevant communication characteristics. We further explore the robustness against link failures and the ability and efficiency to solve a simple toy problem, the synchronization task. The results confirm that (1) computation in irregular assemblies is a promising and disruptive computing paradigm for self-assembled nano-scale electronics and (2) that 3D small-world interconnect fabrics with a power-law decaying distribution of shortcut lengths are physically plausible and have major advantages over local 2D and 3D regular topologies

A survey on scheduling and mapping techniques in 3D Network-on-chip

Network-on-Chips (NoCs) have been widely employed in the design of multiprocessor system-on-chips (MPSoCs) as a scalable communication solution. NoCs enable communications between on-chip Intellectual Property (IP) cores and allow those cores to achieve higher performance by outsourcing their communication tasks. Mapping and Scheduling methodologies are key elements in assigning application tasks, allocating the tasks to the IPs, and organising communication among them to achieve some specified objectives. The goal of this paper is to present a detailed state-of-the-art of research in the field of mapping and scheduling of applications on 3D NoC, classifying the works based on several dimensions and giving some potential research directions

The impact of traffic localisation on the performance of NoCs for very large manycore systems

The scaling of semiconductor technologies is leading to processors with increasing numbers of cores. The adoption of Networks-on-Chip (NoC) in manycore systems requires a shift in focus from computation to communication, as communication is fast becoming the dominant factor in processor performance. In large manycore systems, performance is predicated on the locality of communication. In this work, we investigate the performance of three NoC topologies for systems with thousands of processor cores under two types of localised traffic. We present latency and throughput results comparing fat quadtree, concentrated mesh and mesh topologies under different degrees of localisation. Our results, based on the ITRS physical data for 2023, show that the type and degree of localisation of traffic significantly affects the NoC performance, and that scale-invariant topologies perform worse than flat topologies