Overcoming the Challenges for Multichip Integration: A Wireless Interconnect Approach

The physical limitations in the area, power density, and yield restrict the scalability of the single-chip multicore system to a relatively small number of cores. Instead of having a large chip, aggregating multiple smaller chips can overcome these physical limitations. Combining multiple dies can be done either by stacking vertically or by placing side-by-side on the same substrate within a single package. However, in order to be widely accepted, both multichip integration techniques need to overcome significant challenges. In the horizontally integrated multichip system, traditional inter-chip I/O does not scale well with technology scaling due to limitations of the pitch. Moreover, to transfer data between cores or memory components from one chip to another, state-of-the-art inter-chip communication over wireline channels require data signals to travel from internal nets to the peripheral I/O ports and then get routed over the inter-chip channels to the I/O port of the destination chip. Following this, the data is finally routed from the I/O to internal nets of the target chip over a wireline interconnect fabric. This multi-hop communication increases energy consumption while decreasing data bandwidth in a multichip system. On the other hand, in vertically integrated multichip system, the high power density resulting from the placement of computational components on top of each other aggravates the thermal issues of the chip leading to degraded performance and reduced reliability. Liquid cooling through microfluidic channels can provide cooling capabilities required for effective management of chip temperatures in vertical integration. However, to reduce the mechanical stresses and at the same time, to ensure temperature uniformity and adequate cooling competencies, the height and width of the microchannels need to be increased. This limits the area available to route Through-Silicon-Vias (TSVs) across the cooling layers and make the co-existence and co-design of TSVs and microchannels extreamly challenging. Research in recent years has demonstrated that on-chip and off-chip wireless interconnects are capable of establishing radio communications within as well as between multiple chips. The primary goal of this dissertation is to propose design principals targeting both horizontally and vertically integrated multichip system to provide high bandwidth, low latency, and energy efficient data communication by utilizing mm-wave wireless interconnects. The proposed solution has two parts: the first part proposes design methodology of a seamless hybrid wired and wireless interconnection network for the horizontally integrated multichip system to enable direct chip-to-chip communication between internal cores. Whereas the second part proposes a Wireless Network-on-Chip (WiNoC) architecture for the vertically integrated multichip system to realize data communication across interlayer microfluidic coolers eliminating the need to place and route signal TSVs through the cooling layers. The integration of wireless interconnect will significantly reduce the complexity of the co-design of TSV based interconnects and microchannel based interlayer cooling. Finally, this dissertation presents a combined trade-off evaluation of such wireless integration system in both horizontal and vertical sense and provides future directions for the design of the multichip system

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

Robust and Traffic Aware Medium Access Control Mechanisms for Energy-Efficient mm-Wave Wireless Network-on-Chip Architectures

To cater to the performance/watt needs, processors with multiple processing cores on the same chip have become the de-facto design choice. In such multicore systems, Network-on-Chip (NoC) serves as a communication infrastructure for data transfer among the cores on the chip. However, conventional metallic interconnect based NoCs are constrained by their long multi-hop latencies and high power consumption, limiting the performance gain in these systems. Among, different alternatives, due to the CMOS compatibility and energy-efficiency, low-latency wireless interconnect operating in the millimeter wave (mm-wave) band is nearer term solution to this multi-hop communication problem. This has led to the recent exploration of millimeter-wave (mm-wave) wireless technologies in wireless NoC architectures (WiNoC). To realize the mm-wave wireless interconnect in a WiNoC, a wireless interface (WI) equipped with on-chip antenna and transceiver circuit operating at 60GHz frequency range is integrated to the ports of some NoC switches. The WIs are also equipped with a medium access control (MAC) mechanism that ensures a collision free and energy-efficient communication among the WIs located at different parts on the chip. However, due to shrinking feature size and complex integration in CMOS technology, high-density chips like multicore systems are prone to manufacturing defects and dynamic faults during chip operation. Such failures can result in permanently broken wireless links or cause the MAC to malfunction in a WiNoC. Consequently, the energy-efficient communication through the wireless medium will be compromised. Furthermore, the energy efficiency in the wireless channel access is also dependent on the traffic pattern of the applications running on the multicore systems. Due to the bursty and self-similar nature of the NoC traffic patterns, the traffic demand of the WIs can vary both spatially and temporally. Ineffective management of such traffic variation of the WIs, limits the performance and energy benefits of the novel mm-wave interconnect technology. Hence, to utilize the full potential of the novel mm-wave interconnect technology in WiNoCs, design of a simple, fair, robust, and efficient MAC is of paramount importance. The main goal of this dissertation is to propose the design principles for robust and traffic-aware MAC mechanisms to provide high bandwidth, low latency, and energy-efficient data communication in mm-wave WiNoCs. The proposed solution has two parts. In the first part, we propose the cross-layer design methodology of robust WiNoC architecture that can minimize the effect of permanent failure of the wireless links and recover from transient failures caused by single event upsets (SEU). Then, in the second part, we present a traffic-aware MAC mechanism that can adjust the transmission slots of the WIs based on the traffic demand of the WIs. The proposed MAC is also robust against the failure of the wireless access mechanism. Finally, as future research directions, this idea of traffic awareness is extended throughout the whole NoC by enabling adaptiveness in both wired and wireless interconnection fabric

Global Congestion and Fault Aware Wireless Interconnection Framework for Multicore Systems

Multicore processors are getting more common in the implementation of all type of computing demands, starting from personal computers to the large server farms for high computational demanding applications. The network-on-chip provides a better alternative to the traditional bus based communication infrastructure for this multicore system. Conventional wire-based NoC interconnect faces constraints due to their long multi-hop latency and high power consumption. Furthermore high traffic generating applications sometimes creates congestion in such system further degrading the systems performance. In this thesis work, a novel two-state congestion aware wireless interconnection framework for network chip is presented. This WiNoC system was designed to able to dynamically redirect traffic to avoid congestion based on network condition information shared among all the core tiles in the system. Hence a novel routing scheme and a two-state MAC protocol is proposed based on a proposed two layer hybrid mesh-based NoC architecture. The underlying mesh network is connected via wired-based interconnect and on top of that a shared wireless interconnect framework is added for single-hop communication. The routing scheme is non-deterministic in nature and utilizes the principles from existing dynamic routing algorithms. The MAC protocol for the wireless interface works in two modes. The first is data mode where a token-based protocol is utilized to transfer core data. And the second mode is the control mode where a broadcast-based communication protocol is used to share the network congestion information. The work details the switching methodology between these two modes and also explain, how the routing scheme utilizes the congestion information (gathered during the control mode) to route data packets during normal operation mode. The proposed work was modeled in a cycle accurate network simulator and its performance were evaluated against traditional NoC and WiNoC designs

Wireless Chip-Scale Communications for Neural Network Accelerators

Wireless on-chip communications have been proposed as a complement to conventional Network-on-Chip (NoC) paradigms in manycore processors. In massively parallel architectures, the fast broadcast and reconfigurability capabilities of the wireless plane open the door to new scalable and adaptive architectures with significant impact on a plethora of fields. This thesis aims to explore such impact in the all-pervasive field of AI accelerators, designing and evaluating new accelerators augmented with wireless on-chip communication.The last decade has witnessed an explosive growth in the use of Deep Neural Networks in fields such as computer vision, natural language processing, medicine or economics. Their achievements in accuracy across so many relevant and different applications exhibit the enormous potential of this disruptive technology. However, this unprecedented performance is closely tied with the fact that their new designs contain much deeper and bigger layer sets, forcing them to manage millions - and in some cases even billions - of parameters. This comes at a high computational and communication cost at the processor level, which has prompted the development of new hardware aimed at handling such large computing expense more efficiently, the so called \acrlong{dnn} accelerators. This work explores the potential of enhancing the performance of these accelerators by introducing Wireless Networks-on-Chip in their design, a novel interconnect paradigm proposed by the research community to overcome some of the communication challenges that manycore systems face. Specifically, both on-chip and off-chip wireless interconnect implementations have been studied and evaluated. In the off-chip case, a theoretical improvement of 13X in the runtime has been achieved, but at the expense of some area and power overheads.La última década ha sido testigo de un inmenso crecimiento en el uso de Deep Neural Networks en campos como la visión artificial, procesamiento de lenguaje natural, medicina o economía. Haber conseguido estos resultados sin precedentes en aplicaciones tan relevantes y variadas muestra el enorme potencial de esta tecnología tan disruptiva. Sin embargo, estos logros van muy ligados al hecho de que los nuevos diseños contienen muchas más capas y más profundas, lo que se traduce en millones - y en algunos casos billones - de parámetros. Esto supone un gran coste computacional y de comunicación a nivel de procesador, lo que ha impulsado el desarrollo de nuevo hardware que permita gestionar tal coste de manera más eficiente, los llamados aceleradores de Deep Neural Networks. Este proyecto explora la potencial mejora en rendimiento de estos aceleradores mediante la introducción de Wireless Newtorks-on-Chip en su diseño, un nuevo paradigma de interconexiones propuesto por la comunidad científica para superar algunos de los problemas de comunicación que sistemas manycore deben afrontar. Específicamente, implementaciones tanto on-chip como off-chip se han estudiado y evaluado. Se ha conseguido una mejora teórica de 13X en el runtime, pero con algunos costes añadidos de área y potencia.La darrera dècada ha estat testimoni d'un immens creixement en l'ús de Deep Neural Networks en camps com la visió artificial, processament de llenguatge natural, medicina o economia. Haver aconseguit aquests resultats sense precedents en aplicacions tan rellevants i variades mostra l?enorme potencial d?aquesta tecnologia tan disruptiva. No obstant, aquests èxits van molt lligats al fet de que els nous dissenys contenen moltes més capes i més profundes, cosa que es tradueix en milions - i en alguns casos bilions - de paràmetres. Això suposa un gran cost computacional i de comunicació a nivell de processador, cosa que ha impulsat el desenvolupament de nou hardware que permetin gestionar tal cost de manera més eficient, els anomenats acceleradors de Deep Neural Networks. Aquest projecte explora la potencial millora en rendiment d'aquests acceleradors mitjançant la introducció de Wireless Newtorks-on-Chip al seu disseny, un nou paradigma d'interconnexions proposat per la comunitat científica per a superar alguns dels problemes de comunicació que sistemes manycore han d'afrontar. Específicament, implementacions tant on-chip com off-chip s'han estudiat i evaluat. En el cas off-chip, s'ha aconseguit una millora teòrica de 13X al runtime però amb alguns costos afegits d'àrea i potència

Enabling Technologies for 3D ICs: TSV Modeling and Analysis

Through silicon via (TSV) based three-dimensional (3D) integrated circuit (IC) aims to stack and interconnect dies or wafers vertically. This emerging technology offers a promising near-term solution for further miniaturization and the performance improvement of electronic systems and follows a more than Moore strategy. Along with the need for low-cost and high-yield process technology, the successful application of TSV technology requires further optimization of the TSV electrical modeling and design. In the millimeter wave (mmW) frequency range, the root mean square (rms) height of the TSV sidewall roughness is comparable to the skin depth and hence becomes a critical factor for TSV modeling and analysis. The impact of TSV sidewall roughness on electrical performance, such as the loss and impedance alteration in the mmW frequency range, is examined and analyzed following the second order small perturbation method. Then, an accurate and efficient electrical model for TSVs has been proposed considering the TSV sidewall roughness effect, the skin effect, and the metal oxide semiconductor (MOS) effect. However, the emerging application of 3D integration involves an advanced bio-inspired computing system which is currently experiencing an explosion of interest. In neuromorphic computing, the high density membrane capacitor plays a key role in the synaptic signaling process, especially in a spike firing analog implementation of neurons. We proposed a novel 3D neuromorphic design architecture in which the redundant and dummy TSVs are reconfigured as membrane capacitors. This modification has been achieved by taking advantage of the metal insulator semiconductor (MIS) structure along the sidewall, strategically engineering the fixed oxide charges in depletion region surrounding the TSVs, and the addition of oxide layer around the bump without changing any process technology. Without increasing the circuit area, these reconfiguration of TSVs can result in substantial power consumption reduction and a significant boost to chip performance and efficiency. Also, depending on the availability of the TSVs, we proposed a novel CAD framework for TSV assignments based on the force-directed optimization and linear perturbation

Cross-layer design of thermally-aware 2.5D systems

Over the past decade, CMOS technology scaling has slowed down. To sustain the historic performance improvement predicted by Moore's Law, in the mid-2000s the computing industry moved to using manycore systems and exploiting parallelism. The on-chip power densities of manycore systems, however, continued to increase after the breakdown of Dennard's Scaling. This leads to the `dark silicon' problem, whereby not all cores can operate at the highest frequency or can be turned on simultaneously due to thermal constraints. As a result, we have not been able to take full advantage of the parallelism in manycore systems. One of the 'More than Moore' approaches that is being explored to address this problem is integration of diverse functional components onto a substrate using 2.5D integration technology. 2.5D integration provides opportunities to exploit chiplet placement flexibility to address the dark silicon problem and mitigate the thermal stress of today's high-performance systems. These opportunities can be leveraged to improve the overall performance of the manycore heterogeneous computing systems. Broadly, this thesis aims at designing thermally-aware 2.5D systems. More specifically, to address the dark silicon problem of manycore systems, we first propose a single-layer thermally-aware chiplet organization methodology for homogeneous 2.5D systems. The key idea is to strategically insert spacing between the chiplets of a 2.5D manycore system to lower the operating temperature, and thus reclaim dark silicon by allowing more active cores and/or higher operating frequency under a temperature threshold. We investigate manufacturing cost and thermal behavior of 2.5D systems, then formulate and solve an optimization problem that jointly maximizes performance and minimizes manufacturing cost. We then enhance our methodology by incorporating a cross-layer co-optimization approach. We jointly maximize performance and minimize manufacturing cost and operating temperature across logical, physical, and circuit layers. We propose a novel gas-station link design that enables pipelining in passive interposers. We then extend our thermally-aware optimization methodology for network routing and chiplet placement of heterogeneous 2.5D systems, which consist of central processing unit (CPU) chiplets, graphics processing unit (GPU) chiplets, accelerator chiplets, and/or memory stacks. We jointly minimize the total wirelength and the system temperature. Our enhanced methodology increases the thermal design power budget and thereby improves thermal-constraint performance of the system

Design of a COTS MST distributed sensor suite system for planetary surface exploration

The aim of this project is To bring together current commercially available technology and relevant Microsystems Technology (MST) into a small, standardised spacecraft primary systems architecture, multiple units of which can demonstrate collaboration… Distributed “lab-on-a-chip” sensor networks are a possible option for the surface exploration of both Earth and Mars, and as such have been chosen as a model small spacecraft architecture. This project presents a systems approach to the design of a collection of collaborative MST sensor suites for use in a variety of environments. Based on a set of derived objectives, the main features of the study are: What are the fundamental limits to miniaturisation? What are the hardware issues raised using both standard and MST components? What is the optimum deployment pattern of the network to locate various shaped targets? What are the strategic and economic challenges of MST and the development of a sensor suite network? In general, there are few fundamental physical laws that limit the size of the sensor system. Limits tend to be driven by other factors including user requirements and the external environment. A simple breadboard model of the sensor suite consisting current COTS MST components raised practical issues such as circuit layouts, power requirements and packaging. A grid illustrating features of the Martian surface was created. Various patterns of target and sensor clusters were simulated. Overall, for larger target areas, clusters of sensors produced the best “hit rate”. The overall system utilises both wired and wireless communications methods. The I2C protocol has been investigated for intersuite communications. A link has been made between bacteria pools found on Glaciers (Cryoconites) and the possible conditions for life at the Polar Ice Caps of Mars. The investigation of Arctic Cryoconites has been selected as a representative case study that will incorporate all aspects of the project and demonstrate the system design. A comprehensive mission baseline based on this application has been produced, however the system has been designed to enable its use in a variety of situations whilst requiring only minimal modification to the overall design.EThOS - Electronic Theses Online ServiceGBUnited Kingdo

Copper / low-k technological platform for the fabrication of high quality factor above-IC passive devices

Modern communication devices demand challenging specifications in terms of miniaturization, performance, power consumption and cost. Every new generation of radio frequency integrated circuits (RF-ICs) offer better functionality at reduced size, power consumption and cost per device and per integrated function. Passive devices (resistors, inductors, capacitors, antennas and transmission lines) represent an important part of the cost and size of RF circuits. These components have not evolved at the same level of the transistor devices, especially because their performance is strongly degenerated when they scale down in size. The low resistivity silicon used to build the transistors also imposes prohibitive levels of RF losses to these passive devices. Radio frequency microelectromechanical systems (RF MEMS) are enabling technologies capable to bring significant improvement in the electrical performances and expressive size and cost reduction of these functions, with unparallel introduction of new functionalities, unimaginable to attain when using bulky, externally connected discrete components. High quality factor (Q) inductors are amongst ones of the most needed components in RF circuits and at the same time ones that are most affected by thin metallization and substrate related losses, demanding considerable research effort. This thesis presents a contribution toward the development of thick metal fabrication technologies, covering also the design, modeling and characterization of high quality factor and high self-resonant frequency (SRF) RF MEMS passive devices, with a special emphasis on spiral inductors. A new approach using damascene-like interconnect fabrication steps associated to low κ dielectrics (polyimide), highly-conductive thick copper electroplating, chemical mechanical polishing (CMP) and tailored substrate properties delivered quality factors in excess of 40 and self resonant frequencies in excess of 10 GHz, performances in the current state-of-the-art for integrated spiral inductors built on top of silicon wafers. Furthermore, the developed process steps are compatible with back-end processing used to fabricate modern IC interconnects and have a low thermal budget (< 250 °C), what makes it a good choice to build above-IC passives without degenerating the performance of passivated RF-CMOS circuits. Deep reactive ion etching (DRIE) of quartz substrates was also studied for the fabrication of spiral inductors, offering excellent RF performances (Q exceeding 40 and SRF exceeding 7 GHz). A new doubly-functional quartz packaging concept for RF MEMS devices was developed. This technique process both sides of the packaging wafer: the top is used to embed high quality factor copper inductors while the bottom is thermo-mechanically bonded to another RF MEMS wafer, offering a semi-hermetic SU-8 epoxy-based seal. The bonding process was optimized for high yield, to be compatible with SF6-plasma-released MEMS and to present low level of RF losses. Band pass filters for the GSM (1.8 GHz) and WLAN (5.2 GHz) standards were fabricated and characterized by RF measurements and full wave electromagnetic simulations. Although further development is need in order to predict the frequency response accurately, insertion losses as low as 1.2 dB were demonstrated, levels that cannot be usually attained using on-chip passives. Systematic analysis, RF measurements, electromagnetic simulations and equivalent circuit extraction were used to model the behavior of the fabricated devices and establish a methodology to deliver optimum performances for a given technological profile and specified performance targets (quality factor, inductance and frequency bandwidth). A simple yet accurate physics-based analytical model for spiral inductors was developed and proved to be accurate in terms of loss estimation for thick metal layers. This model is capable to accurately describe the frequency-dependent behavior of the device below its first resonant frequency over a large device design space. The model was validated by both measurements and full wave electromagnetic simulations and is well suited to perform numeric optimization of designs. The proposed models were also systematized in a Matlab® toolbox