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

Secure Network-on-Chip Against Black Hole and Tampering Attacks

The Network-on-Chip (NoC) has become the communication heart of Multiprocessors-System-on-Chip (MPSoC). Therefore, it has been subject to a plethora of security threats to degrade the system performance or steal sensitive information. Due to the globalization of the modern semiconductor industry, many different parties take part in the hardware design of the system. As a result, the NoC could be infected with a malicious circuit, known as a Hardware Trojan (HT), to leave a back door for security breach purposes. HTs are smartly designed to be too small to be uncovered by offline circuit-level testing, so the system requires an online monitoring to detect and prevent the HT in runtime. This dissertation focuses on HTs inside the router of a NoC designed by a third party. It explores two HT-based threat models for the MPSoC, where the NoC experiences packet-loss and packet-tampering once the HT in the infected router is activated and is in the attacking state. Extensive experiments for each proposed architecture were conducted using a cycle-accurate simulator to demonstrate its effectiveness on the performance of the NoC-based system. The first threat model is the Black Hole Router (BHR) attack, where it silently discards the packets that are passing through without further announcement. The effect of the BHR is presented and analyzed to show the potency of the attack on a NoC-based system. A countermeasure protocol is proposed to detect the BHR at runtime and counteract the deliberate packet-dropping attack with a 26.9% area overhead, an average 21.31% performance overhead and a 22% energy consumption overhead. The protocol is extended to provide an efficient and power-gated scheme to enhance the NoC throughput and reduce the energy consumption by using end-to-end (e2e) approach. The power-gated e2e technique locates the BHR and avoids it with a 1% performance overhead and a 2% energy consumption overhead. The second threat model is a packet-integrity attack, where the HT tampers with the packet to apply a denial-of-service attack, steal sensitive information, gain unauthorized access, or misroute the packet to an unintended node. An authentic and secure NoC platform is proposed to detect and countermeasure the packet-tampering attack to maintain data-integrity and authenticity while keeping its secrecy with a 24.21% area overhead. The proposed NoC architecture is not only able to detect the attack, but also locates the infected router and isolates it from the network

Dynamic Voltage and Frequency Scaling for Wireless Network-on-Chip

Previously, research and design of Network-on-Chip (NoC) paradigms where mainly focused on improving the performance of the interconnection networks. With emerging wide range of low-power applications and energy constrained high-performance applications, it is highly desirable to have NoCs that are highly energy efficient without incurring performance penalty. In the design of high-performance massive multi-core chips, power and heat have become dominant constrains. Increased power consumption can raise chip temperature, which in turn can decrease chip reliability and performance and increase cooling costs. It was proven that Small-world Wireless Network-on-Chip (SWNoC) architecture which replaces multi-hop wire-line path in a NoC by high-bandwidth single hop long range wireless links, reduces the overall energy dissipation when compared to wire-line mesh-based NoC architecture. However, the overall energy dissipation of the wireless NoC is still dominated by wire-line links and switches (buffers). Dynamic Voltage Scaling is an efficient technique for significant power savings in microprocessors. It has been proposed and deployed in modern microprocessors by exploiting the variance in processor utilization. On a Network-on-Chip paradigm, it is more likely that the wire-line links and buffers are not always fully utilized even for different applications. Hence, by exploiting these characteristics of the links and buffers over different traffic, DVFS technique can be incorporated on these switches and wire-line links for huge power savings. In this thesis, a history based DVFS mechanism is proposed. This mechanism uses the past utilization of the wire-line links & buffers to predict the future traffic and accordingly tune the voltage and frequency for the links and buffers dynamically for each time window. This mechanism dynamically minimizes the power consumption while substantially maintaining a high performance over the system. Performance analysis on these DVFS enabled Wireless NoC shows that, the overall energy dissipation is improved by around 40% when compared Small-world Wireless NoCs

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

On Energy Efficient Computing Platforms

In accordance with the Moore's law, the increasing number of on-chip integrated transistors has enabled modern computing platforms with not only higher processing power but also more affordable prices. As a result, these platforms, including portable devices, work stations and data centres, are becoming an inevitable part of the human society. However, with the demand for portability and raising cost of power, energy efficiency has emerged to be a major concern for modern computing platforms. As the complexity of on-chip systems increases, Network-on-Chip (NoC) has been proved as an efficient communication architecture which can further improve system performances and scalability while reducing the design cost. Therefore, in this thesis, we study and propose energy optimization approaches based on NoC architecture, with special focuses on the following aspects. As the architectural trend of future computing platforms, 3D systems have many bene ts including higher integration density, smaller footprint, heterogeneous integration, etc. Moreover, 3D technology can signi cantly improve the network communication and effectively avoid long wirings, and therefore, provide higher system performance and energy efficiency. With the dynamic nature of on-chip communication in large scale NoC based systems, run-time system optimization is of crucial importance in order to achieve higher system reliability and essentially energy efficiency. In this thesis, we propose an agent based system design approach where agents are on-chip components which monitor and control system parameters such as supply voltage, operating frequency, etc. With this approach, we have analysed the implementation alternatives for dynamic voltage and frequency scaling and power gating techniques at different granularity, which reduce both dynamic and leakage energy consumption. Topologies, being one of the key factors for NoCs, are also explored for energy saving purpose. A Honeycomb NoC architecture is proposed in this thesis with turn-model based deadlock-free routing algorithms. Our analysis and simulation based evaluation show that Honeycomb NoCs outperform their Mesh based counterparts in terms of network cost, system performance as well as energy efficiency.Siirretty Doriast

Driving the Network-on-Chip Revolution to Remove the Interconnect Bottleneck in Nanoscale Multi-Processor Systems-on-Chip

The sustained demand for faster, more powerful chips has been met by the availability of chip manufacturing processes allowing for the integration of increasing numbers of computation units onto a single die. The resulting outcome, especially in the embedded domain, has often been called SYSTEM-ON-CHIP (SoC) or MULTI-PROCESSOR SYSTEM-ON-CHIP (MP-SoC). MPSoC design brings to the foreground a large number of challenges, one of the most prominent of which is the design of the chip interconnection. With a number of on-chip blocks presently ranging in the tens, and quickly approaching the hundreds, the novel issue of how to best provide on-chip communication resources is clearly felt. NETWORKS-ON-CHIPS (NoCs) are the most comprehensive and scalable answer to this design concern. By bringing large-scale networking concepts to the on-chip domain, they guarantee a structured answer to present and future communication requirements. The point-to-point connection and packet switching paradigms they involve are also of great help in minimizing wiring overhead and physical routing issues. However, as with any technology of recent inception, NoC design is still an evolving discipline. Several main areas of interest require deep investigation for NoCs to become viable solutions: • The design of the NoC architecture needs to strike the best tradeoff among performance, features and the tight area and power constraints of the onchip domain. • Simulation and verification infrastructure must be put in place to explore, validate and optimize the NoC performance. • NoCs offer a huge design space, thanks to their extreme customizability in terms of topology and architectural parameters. Design tools are needed to prune this space and pick the best solutions. • Even more so given their global, distributed nature, it is essential to evaluate the physical implementation of NoCs to evaluate their suitability for next-generation designs and their area and power costs. This dissertation performs a design space exploration of network-on-chip architectures, in order to point-out the trade-offs associated with the design of each individual network building blocks and with the design of network topology overall. The design space exploration is preceded by a comparative analysis of state-of-the-art interconnect fabrics with themselves and with early networkon- chip prototypes. The ultimate objective is to point out the key advantages that NoC realizations provide with respect to state-of-the-art communication infrastructures and to point out the challenges that lie ahead in order to make this new interconnect technology come true. Among these latter, technologyrelated challenges are emerging that call for dedicated design techniques at all levels of the design hierarchy. In particular, leakage power dissipation, containment of process variations and of their effects. The achievement of the above objectives was enabled by means of a NoC simulation environment for cycleaccurate modelling and simulation and by means of a back-end facility for the study of NoC physical implementation effects. Overall, all the results provided by this work have been validated on actual silicon layout

From MARTE to Reconfigurable NoCs: A model driven design methodology

Due to the continuous exponential rise in SoC's design complexity, there is a critical need to find new seamless methodologies and tools to handle the SoC co-design aspects. We address this issue and propose a novel SoC co-design methodology based on Model Driven Engineering and the MARTE (Modeling and Analysis of Real-Time and Embedded Systems) standard proposed by Object Management Group, to raise the design abstraction levels. Extensions of this standard have enabled us to move from high level specifications to execution platforms such as reconfigurable FPGAs. In this paper, we present a high level modeling approach that targets modern Network on Chips systems. The overall objective: to perform system modeling at a high abstraction level expressed in Unified Modeling Language (UML); and afterwards, transform these high level models into detailed enriched lower level models in order to automatically generate the necessary code for final FPGA synthesis