A comprehensive approach to MPSoC security: achieving network-on-chip security : a hierarchical, multi-agent approach

Multiprocessor Systems-on-Chip (MPSoCs) are pervading our lives, acquiring ever increasing relevance in a large number of applications, including even safety-critical ones. MPSoCs, are becoming increasingly complex and heterogeneous; the Networks on Chip (NoC paradigm has been introduced to support scalable on-chip communication, and (in some cases) even with reconfigurability support. The increased complexity as well as the networking approach in turn make security aspects more critical. In this work we propose and implement a hierarchical multi-agent approach providing solutions to secure NoC based MPSoCs at different levels of design. We develop a flexible, scalable and modular structure that integrates protection of different elements in the MPSoC (e.g. memory, processors) from different attack scenarios. Rather than focusing on protection strategies specifically devised for an individual attack or a particular core, this work aims at providing a comprehensive, system-level protection strategy: this constitutes its main methodological contribution. We prove feasibility of the concepts via prototype realization in FPGA technology

Advanced management techniques for many-core communication systems

The way computer processors are built is changing. Nowadays, computer processor performance is increased by adding more processing cores on a single chip instead of making processors larger and faster. The traditional approach is no longer viable, due to limits in transistor scaling. Both industry and academia agree that scaling the number of processing cores to hundreds or thousands on a single chip is the only way to scale computer processor performance from now on. Consequently, the performance of these future many-core systems with thousands of cores will heavily depend on the Network-on-Chip (NoC) architecture to provide scalable communication. Therefore, as the number of cores increases the locality will only become more important. Communication locality is essential to reduce latency and increase performance. Many-core systems should be designed such that cores communicate mainly to the neighbouring cores, in order to minimise the communication cost. We investigate the network performance of different topologies using the ITRS physical data for the year 2023. For this reason, we propose abstract synthetic traffic generation models to explore the locality behaviour in many-core NoC systems. Using the synthetic traffic models - group clustering model and ring clustering model - traffic distance metrics may be adjusted with locality parameters. We choose two many-core NoC architectures - distributed memory architecture and shared memory architecture - to examine whether enforcing locality on different architectures may have a diverse effect on the network performance of different topologies. Distributed memory architecture uses the message passing method of communication to communicate between cores. Our results show that the degree of locality and the clustering model strongly affect the performance of the network. Scale-invariant topologies, such as the fat quadtree, perform worse than flat ones because the reduced hop count is outweighed by the longer wire delays. In shared memory architecture, threads communicate with each other by storing data in shared cache lines. We design a hierarchical cache model that benefits from communication locality because many-core cache hierarchy that fails to exploit locality may end up having more cores delayed, thereby decreasing the network performance. Our results show that the locality model of thread placement and the distance of placing them significantly affect the NoC performance. Furthermore, they show that scale-invariant topologies perform better than flat topologies. Then, we demonstrate that implementing directory-based cache coherency has only a small overhead on the cache size. Using cache coherency protocol in our proposed hierarchical cache model, we show that network performance decreases only slightly. Hence, cache coherency scales, and it is possible to have shared memory architecture with thousands of cores

Improving the Scalability of High Performance Computer Systems

Improving the performance of future computing systems will be based upon the ability of increasing the scalability of current technology. New paths need to be explored, as operating principles that were applied up to now are becoming irrelevant for upcoming computer architectures. It appears that scaling the number of cores, processors and nodes within an system represents the only feasible alternative to achieve Exascale performance. To accomplish this goal, we propose three novel techniques addressing different layers of computer systems. The Tightly Coupled Cluster technique significantly improves the communication for inter node communication within compute clusters. By improving the latency by an order of magnitude over existing solutions the cost of communication is considerably reduced. This enables to exploit fine grain parallelism within applications, thereby, extending the scalability considerably. The mechanism virtually moves the network interconnect into the processor, bypassing the latency of the I/O interface and rendering protocol conversions unnecessary. The technique is implemented entirely through firmware and kernel layer software utilizing off-the-shelf AMD processors. We present a proof-of-concept implementation and real world benchmarks to demonstrate the superior performance of our technique. In particular, our approach achieves a software-to-software communication latency of 240 ns between two remote compute nodes. The second part of the dissertation introduces a new framework for scalable Networks-on-Chip. A novel rapid prototyping methodology is proposed, that accelerates the design and implementation substantially. Due to its flexibility and modularity a large application space is covered ranging from Systems-on-chip, to high performance many-core processors. The Network-on-Chip compiler enables to generate complex networks in the form of synthesizable register transfer level code from an abstract design description. Our engine supports different target technologies including Field Programmable Gate Arrays and Application Specific Integrated Circuits. The framework enables to build large designs while minimizing development and verification efforts. Many topologies and routing algorithms are supported by partitioning the tasks into several layers and by the introduction of a protocol agnostic architecture. We provide a thorough evaluation of the design that shows excellent results regarding performance and scalability. The third part of the dissertation addresses the Processor-Memory Interface within computer architectures. The increasing compute power of many-core processors, leads to an equally growing demand for more memory bandwidth and capacity. Current processor designs exhibit physical limitations that restrict the scalability of main memory. To address this issue we propose a memory extension technique that attaches large amounts of DRAM memory to the processor via a low pin count interface using high speed serial transceivers. Our technique transparently integrates the extension memory into the system architecture by providing full cache coherency. Therefore, applications can utilize the memory extension by applying regular shared memory programming techniques. By supporting daisy chained memory extension devices and by introducing the asymmetric probing approach, the proposed mechanism ensures high scalability. We furthermore propose a DMA offloading technique to improve the performance of the processor memory interface. The design has been implemented in a Field Programmable Gate Array based prototype. Driver software and firmware modifications have been developed to bring up the prototype in a Linux based system. We show microbenchmarks that prove the feasibility of our design

CROSS-LAYER DESIGN, OPTIMIZATION AND PROTOTYPING OF NoCs FOR THE NEXT GENERATION OF HOMOGENEOUS MANY-CORE SYSTEMS

This thesis provides a whole set of design methods to enable and manage the runtime heterogeneity of features-rich industry-ready Tile-Based Networkon- Chips at different abstraction layers (Architecture Design, Network Assembling, Testing of NoC, Runtime Operation). The key idea is to maintain the functionalities of the original layers, and to improve the performance of architectures by allowing, joint optimization and layer coordinations. In general purpose systems, we address the microarchitectural challenges by codesigning and co-optimizing feature-rich architectures. In application-specific NoCs, we emphasize the event notification, so that the platform is continuously under control. At the network assembly level, this thesis proposes a Hold Time Robustness technique, to tackle the hold time issue in synchronous NoCs. At the network architectural level, the choice of a suitable synchronization paradigm requires a boost of synthesis flow as well as the coexistence with the DVFS. On one hand this implies the coexistence of mesochronous synchronizers in the network with dual-clock FIFOs at network boundaries. On the other hand, dual-clock FIFOs may be placed across inter-switch links hence removing the need for mesochronous synchronizers. This thesis will study the implications of the above approaches both on the design flow and on the performance and power quality metrics of the network. Once the manycore system is composed together, the issue of testing it arises. This thesis takes on this challenge and engineers various testing infrastructures. At the upper abstraction layer, the thesis addresses the issue of managing the fully operational system and proposes a congestion management technique named HACS. Moreover, some of the ideas of this thesis will undergo an FPGA prototyping. Finally, we provide some features for emerging technology by characterizing the power consumption of Optical NoC Interfaces

Energy-efficient electrical and silicon-photonic networks in many core systems

Thesis (Ph.D.)--Boston UniversityDuring the past decade, the very large scale integration (VLSI) community has migrated towards incorporating multiple cores on a single chip to sustain the historic performance improvement in computing systems. As the core count continuously increases, the performance of network-on-chip (NoC), which is responsible for the communication between cores, caches and memory controllers, is increasingly becoming critical for sustaining the performance improvement. In this dissertation, we propose several methods to improve the energy efficiency of both electrical and silicon-photonic NoCs. Firstly, for electrical NoC, we propose a flow control technique, Express Virtual Channel with Taps (EVC-T), to transmit both broadcast and data packets efficiently in a mesh network. A low-latency notification tree network is included to maintain t he order of broadcast packets. The EVC-T technique improves the NoC latency by 24% and the system energy efficiency in terms of energy-delay product (EDP) by 13%. In the near future, the silicon-photonic links are projected to replace the electrical links for global on-chip communication due to their lower data-dependent power and higher bandwidth density, but the high laser power can more than offset these advantages. Therefore, we propose a silicon-photonic multi-bus NoC architecture and a methodology that can reduce the laser power by 49% on average through bandwidth reconfiguration at runtime based on the variations in bandwidth requirements of applications. We also propose a technique to reduce the laser power by dynamically activating/deactivating the 12 cache banks and switching ON/ OFF the corresponding silicon-photonic links in a crossbar NoC. This cache-reconfiguration based technique can save laser power by 23.8% and improves system EDP by 5.52% on average. In addition, we propose a methodology for placing and sharing on-chip laser sources by jointly considering the bandwidth requirements, thermal constraints and physical layout constraints. Our proposed methodology for placing and sharing of on-chip laser sources reduces laser power. In addition to reducing the laser power to improve the energy efficiency of silicon-photonic NoCs, we propose to leverage the large bandwidth provided by silicon-photonic NoC to share computing resources. The global sharing of floating-point units can save system area by 13.75% and system power by 10%

Network-on-Chip

Addresses the Challenges Associated with System-on-Chip Integration Network-on-Chip: The Next Generation of System-on-Chip Integration examines the current issues restricting chip-on-chip communication efficiency, and explores Network-on-chip (NoC), a promising alternative that equips designers with the capability to produce a scalable, reusable, and high-performance communication backbone by allowing for the integration of a large number of cores on a single system-on-chip (SoC). This book provides a basic overview of topics associated with NoC-based design: communication infrastructure design, communication methodology, evaluation framework, and mapping of applications onto NoC. It details the design and evaluation of different proposed NoC structures, low-power techniques, signal integrity and reliability issues, application mapping, testing, and future trends. Utilizing examples of chips that have been implemented in industry and academia, this text presents the full architectural design of components verified through implementation in industrial CAD tools. It describes NoC research and developments, incorporates theoretical proofs strengthening the analysis procedures, and includes algorithms used in NoC design and synthesis. In addition, it considers other upcoming NoC issues, such as low-power NoC design, signal integrity issues, NoC testing, reconfiguration, synthesis, and 3-D NoC design. This text comprises 12 chapters and covers: The evolution of NoC from SoC—its research and developmental challenges NoC protocols, elaborating flow control, available network topologies, routing mechanisms, fault tolerance, quality-of-service support, and the design of network interfaces The router design strategies followed in NoCs The evaluation mechanism of NoC architectures The application mapping strategies followed in NoCs Low-power design techniques specifically followed in NoCs The signal integrity and reliability issues of NoC The details of NoC testing strategies reported so far The problem of synthesizing application-specific NoCs Reconfigurable NoC design issues Direction of future research and development in the field of NoC Network-on-Chip: The Next Generation of System-on-Chip Integration covers the basic topics, technology, and future trends relevant to NoC-based design, and can be used by engineers, students, and researchers and other industry professionals interested in computer architecture, embedded systems, and parallel/distributed systems