Network-on-Chip

Limitations of bus-based interconnections related to scalability, latency, bandwidth, and power consumption for supporting the related huge number of on-chip resources result in a communication bottleneck. These challenges can be efficiently addressed with the implementation of a network-on-chip (NoC) system. This book gives a detailed analysis of various on-chip communication architectures and covers different areas of NoCs such as potentials, architecture, technical challenges, optimization, design explorations, and research directions. In addition, it discusses current and future trends that could make an impactful and meaningful contribution to the research and design of on-chip communications and NoC systems

On Dynamic Monitoring Methods for Networks-on-Chip

Rapid ongoing evolution of multiprocessors will lead to systems with hundreds of processing cores integrated in a single chip. An emerging challenge is the implementation of reliable and efficient interconnection between these cores as well as other components in the systems. Network-on-Chip is an interconnection approach which is intended to solve the performance bottleneck caused by traditional, poorly scalable communication structures such as buses. However, a large on-chip network involves issues related to congestion problems and system control, for instance. Additionally, faults can cause problems in multiprocessor systems. These faults can be transient faults, permanent manufacturing faults, or they can appear due to aging. To solve the emerging traffic management, controllability issues and to maintain system operation regardless of faults a monitoring system is needed. The monitoring system should be dynamically applicable to various purposes and it should fully cover the system under observation. In a large multiprocessor the distances between components can be relatively long. Therefore, the system should be designed so that the amount of energy-inefficient long-distance communication is minimized. This thesis presents a dynamically clustered distributed monitoring structure. The monitoring is distributed so that no centralized control is required for basic tasks such as traffic management and task mapping. To enable extensive analysis of different Network-on-Chip architectures, an in-house SystemC based simulation environment was implemented. It allows transaction level analysis without time consuming circuit level implementations during early design phases of novel architectures and features. The presented analysis shows that the dynamically clustered monitoring structure can be efficiently utilized for traffic management in faulty and congested Network-on-Chip-based multiprocessor systems. The monitoring structure can be also successfully applied for task mapping purposes. Furthermore, the analysis shows that the presented in-house simulation environment is flexible and practical tool for extensive Network-on-Chip architecture analysis.Siirretty Doriast

Simulation Of Multi-core Systems And Interconnections And Evaluation Of Fat-Mesh Networks

Simulators are very important in computer architecture research as they enable the exploration of new architectures to obtain detailed performance evaluation without building costly physical hardware. Simulation is even more critical to study future many-core architectures as it provides the opportunity to assess currently non-existing computer systems. In this thesis, a multiprocessor simulator is presented based on a cycle accurate architecture simulator called SESC. The shared L2 cache system is extended into a distributed shared cache (DSC) with a directory-based cache coherency protocol. A mesh network module is extended and integrated into SESC to replace the bus for scalable inter-processor communication. While these efforts complete an extended multiprocessor simulation infrastructure, two interconnection enhancements are proposed and evaluated. A novel non-uniform fat-mesh network structure similar to the idea of fat-tree is proposed. This non-uniform mesh network takes advantage of the average traffic pattern, typically all-to-all in DSC, to dedicate additional links for connections with heavy traffic (e.g., near the center) and fewer links for lighter traffic (e.g., near the periphery). Two fat-mesh schemes are implemented based on different routing algorithms. Analytical fat-mesh models are constructed by presenting the expressions for the traffic requirements of personalized all-to-all traffic. Performance improvements over the uniform mesh are demonstrated in the results from the simulator. A hybrid network consisting of one packet switching plane and multiple circuit switching planes is constructed as the second enhancement. The circuit switching planes provide fast paths between neighbors with heavy communication traffic. A compiler technique that abstracts the symbolic expressions of benchmarks' communication patterns can be used to help facilitate the circuit establishment

Architecting a One-to-many Traffic-Aware and Secure Millimeter-Wave Wireless Network-in-Package Interconnect for Multichip Systems

With the aggressive scaling of device geometries, the yield of complex Multi Core Single Chip(MCSC) systems with many cores will decrease due to the higher probability of manufacturing defects especially, in dies with a large area. Disintegration of large System-on-Chips(SoCs) into smaller chips called chiplets has shown to improve the yield and cost of complex systems. Therefore, platform-based computing modules such as embedded systems and micro-servers have already adopted Multi Core Multi Chip (MCMC) architectures overMCSC architectures. Due to the scaling of memory intensive parallel applications in such systems, data is more likely to be shared among various cores residing in different chips resulting in a significant increase in chip-to-chip traffic, especially one-to-many traffic. This one-to-many traffic is originated mainly to maintain cache-coherence between many cores residing in multiple chips. Besides, one-to-many traffics are also exploited by many parallel programming models, system-level synchronization mechanisms, and control signals. How-ever, state-of-the-art Network-on-Chip (NoC)-based wired interconnection architectures do not provide enough support as they handle such one-to-many traffic as multiple unicast trafficusing a multi-hop MCMC communication fabric. As a result, even a small portion of such one-to-many traffic can significantly reduce system performance as traditional NoC-basedinterconnect cannot mask the high latency and energy consumption caused by chip-to-chipwired I/Os. Moreover, with the increase in memory intensive applications and scaling of MCMC systems, traditional NoC-based wired interconnects fail to provide a scalable inter-connection solution required to support the increased cache-coherence and synchronization generated one-to-many traffic in future MCMC-based High-Performance Computing (HPC) nodes. Therefore, these computation and memory intensive MCMC systems need an energy-efficient, low latency, and scalable one-to-many (broadcast/multicast) traffic-aware interconnection infrastructure to ensure high-performance. Research in recent years has shown that Wireless Network-in-Package (WiNiP) architectures with CMOS compatible Millimeter-Wave (mm-wave) transceivers can provide a scalable, low latency, and energy-efficient interconnect solution for on and off-chip communication. In this dissertation, a one-to-many traffic-aware WiNiP interconnection architecture with a starvation-free hybrid Medium Access Control (MAC), an asymmetric topology, and a novel flow control has been proposed. The different components of the proposed architecture are individually one-to-many traffic-aware and as a system, they collaborate with each other to provide required support for one-to-many traffic communication in a MCMC environment. It has been shown that such interconnection architecture can reduce energy consumption and average packet latency by 46.96% and 47.08% respectively for MCMC systems. Despite providing performance enhancements, wireless channel, being an unguided medium, is vulnerable to various security attacks such as jamming induced Denial-of-Service (DoS), eavesdropping, and spoofing. Further, to minimize the time-to-market and design costs, modern SoCs often use Third Party IPs (3PIPs) from untrusted organizations. An adversary either at the foundry or at the 3PIP design house can introduce a malicious circuitry, to jeopardize an SoC. Such malicious circuitry is known as a Hardware Trojan (HT). An HTplanted in the WiNiP from a vulnerable design or manufacturing process can compromise a Wireless Interface (WI) to enable illegitimate transmission through the infected WI resulting in a potential DoS attack for other WIs in the MCMC system. Moreover, HTs can be used for various other malicious purposes, including battery exhaustion, functionality subversion, and information leakage. This information when leaked to a malicious external attackercan reveals important information regarding the application suites running on the system, thereby compromising the user profile. To address persistent jamming-based DoS attack in WiNiP, in this dissertation, a secure WiNiP interconnection architecture for MCMC systems has been proposed that re-uses the one-to-many traffic-aware MAC and existing Design for Testability (DFT) hardware along with Machine Learning (ML) approach. Furthermore, a novel Simulated Annealing (SA)-based routing obfuscation mechanism was also proposed toprotect against an HT-assisted novel traffic analysis attack. Simulation results show that,the ML classifiers can achieve an accuracy of 99.87% for DoS attack detection while SA-basedrouting obfuscation could reduce application detection accuracy to only 15% for HT-assistedtraffic analysis attack and hence, secure the WiNiP fabric from age-old and emerging attacks

Interconnects architectures for many-core era using surface-wave communication

PhD ThesisNetworks-on-chip (NoCs) is a communication paradigm that has emerged aiming to address on-chip communication challenges and to satisfy interconnection demands for chip-multiprocessors (CMPs). Nonetheless, there is continuous demand for even higher computational power, which is leading to a relentless downscaling of CMOS technology to enable the integration of many-cores. However, technology downscaling is in favour of the gate nodes over wires in terms of latency and power consumption. Consequently, this has led to the era of many-core processors where power consumption and performance are governed by inter-core communications rather than core computation. Therefore, NoCs need to evolve from being merely metalbased implementations which threaten to be a performance and power bottleneck for many-core efficiency and scalability. To overcome such intensified inter-core communication challenges, this thesis proposes a novel interconnect technology: the surface-wave interconnect (SWI). This new RF-based on-chip interconnect has notable characteristics compared to cutting-edge on-chip interconnects in terms of CMOS compatibility, high speed signal propagation, low power dissipation, and massive signal fan-out. Nonetheless, the realization of the SWI requires investigations at different levels of abstraction, such as the device integration and RF engineering levels. The aim of this thesis is to address the networking and system level challenges and highlight the potential of this interconnect. This should encourage further research at other levels of abstraction. Two specific system-level challenges crucial in future many-core systems are tackled in this study, which are cross-the-chip global communication and one-to-many communication. This thesis makes four major contributions towards this aim. The first is reducing the NoC average-hop count, which would otherwise increase packet-latency exponentially, by proposing a novel hybrid interconnect architecture. This hybrid architecture can not only utilize both regular metal-wire and SWI, but also exploits merits of both bus and NoC architectures in terms of connectivity compared to other general-purpose on-chip interconnect architectures. The second contribution addresses global communication issues by developing a distance-based weighted-round-robin arbitration (DWA) algorithm. This technique prioritizes global communication to be send via SWI short-cuts, which offer more efficient power dissipation and faster across-the-chip signal propagation. Results obtained using a cycleaccurate simulator demonstrate the effectiveness of the proposed system architecture in terms of significant power reduction, considervii able average delay reduction and higher throughput compared to a regular NoC. The third contribution is in handling multicast communications, which are normally associated with traffic overload, hotspots and deadlocks and therefore increase, by an order of magnitude the power consumption and latency. This has been achieved by proposing a novel routing and centralized arbitration schemes that exploits the SWI0s remarkable fan-out features. The evaluation demonstrates drastic improvements in the effectiveness of the proposed architecture in terms of power consumption ( 2-10x) and performance ( 22x) but with negligible hardware overheads ( 2%). The fourth contribution is to further explore multicast contention handling in a flexible decentralized manner, where original techniques such as stretch-multicast and ID-tagging flow control have been developed. A comparison of these techniques shows that the decentralized approach is superior to the centralized approach with low traffic loads, while the latter outperforms the former near and after NoC saturation

A study on hardware design for high performance artificial neural network by using FPGA and NoC

制度:新 ; 報告番号:甲3421号 ; 学位の種類:博士(工学) ; 授与年月日:2011/9/15 ; 早大学位記番号:新574

Exploiting Properties of CMP Cache Traffic in Designing Hybrid Packet/Circuit Switched NoCs

Chip multiprocessors with few to tens of processing cores are already commercially available. Increased scaling of technology is making it feasible to integrate even more cores on a single chip. Providing the cores with fast access to data is vital to overall system performance. When a core requires access to a piece of data, the core's private cache memory is searched first. If a miss occurs, the data is looked up in the next level(s) of the memory hierarchy, where often one or more levels of cache are shared between two or more cores. Communication between the cores and the slices of the on-chip shared cache is carried through the network-on-chip(NoC). Interestingly, the cache and NoC mutually affect the operation of each other; communication over the NoC affects the access latency of cache data, while the cache organization generates the coherence and data messages, thus affecting the communication patterns and latency over the NoC. This thesis considers hybrid packet/circuit switched NoCs, i.e., packet switched NoCs enhanced with the ability to configure circuits. The communication and performance benefit that come from using circuits is predicated on amortizing the time cost incurred for configuring the circuits. To address this challenge, NoC designs are proposed that take advantage of properties of the cache traffic, namely temporal locality and predictability, to amortize or hide the circuit configuration time cost. First, a coarse-grained circuit configuration policy is proposed that exploits the temporal locality in the cache traffic to periodically configure circuits for the heavily communicating nodes. This allows the design of a locality-aware cache that promotes temporal communication locality through data placement, while designing suitable data replacement and migration policies. Next, a fine-grained configuration policy, called Déjà Vu switching, is proposed for leveraging predictability of data messages by initiating a circuit configuration as soon as a cache hit is detected and before the data becomes available. Its benefit is demonstrated for saving interconnect energy in multi-plane NoCs. Finally, a more proactive configuration policy is proposed for fast caches, where circuit reservations are initiated by request messages, which can greatly improve communication latency and system performance