DDRNoC: Dual Data-Rate Network-on-Chip

Networks-on-Chip (NoCs) are becoming increasing important for the performance of modern multi-core system-on-chip. For various on-chip networks with virtual channel (VC) ow control, the slow control logic (VC and switch allocation logic) of the NoC routers limits the NoC clock period while their datapath (switch and link) possesses signifcant slack. This slack results in wasted performance potential of the datapath, limits the saturation throughput of the network and reduces its energy efficiency. The aim of this thesis is to improve NoC performance by eliminating this slack and removing control logic from the router critical path. To this end, this thesis presents the Dual Data-Rate (DDR) network architecture called the DDRNoC. It utilizes the NoC datapath twice with in a clock cycle to forward its at DDR. This not only exploits the slack present in the datapath but also requires a clock with period twice the datapath delay, thus removing the shorter control logic from the critical path. This enables the DDRNoC to achieve throughput higher than single data-rate networks. Moreover, the DDRNoC also employs lookahead signalling to reduce end-to-end packet latency. FreewayNoC, an extension to the DDRNoC supplements the DDRNoC with simplified pipeline stage bypassing to reduce the zero-load latency of packets in the network. Implementation of the DDRNoC and FreewayNoC architectures require redesign of the switch allocation (SA) mechanism to resolve contention among competing its by granting up to two its access to each switch input and output port per clock cycle. It further requires separate paths for the propagation of lookahead control signals. FreewayNoC also requires implementation of multiple checks to guarantee con ict-free bypassing of the SA stage. Physical implementation results using 28nm process technology show that DDRNoC and FreewayNoC have 5% and 15% area overhead, respectively, compared to a simple 3-stage network with VCs. Performance evaluation shows that for a 16X16 mesh network, FreewayNoC supports 25% higher throughput compared to current state-of-the-art NoC, ShortPath. Moreover, FreewayNoC achieves a zero-load latency which scales better than ShortPath and equally well with an ideal network that has no control overheads. For application driven traffic, FreewayNoC reduces average packet latency by 18% compared to ShortPath. Alternatively, low voltage implementation of the DDRNoC and FreewayNoC can be used to conserve power and improve energy efficiency at the cost of higher packet latency

High Performance and Power Efficient On-Chip Network Designs through Multiple Injection Ports

Las redes dentro de un chip se están convirtiendo en el elemento principal de los sistemas multiprocesador. A medida que aumenta la escala de integración, más elementos de cómputo (procesadores) se incluyen en el mismo chip. Estos componentes se interconectan con una red dentro del chip que debe ofrecer latencias de transmisión ultra bajas (orden de nanosegundos) y anchos de banda elevados. El diseño, pues, de una red eficiente dentro del chip juega un papel fundamental. En la presente tesis se analizan diferentes alternativas de diseño de las redes en el chip. En particular, se hace uso de la posibilidad de utilizar diferentes puertos de inyección desde los procesadores con el fin de obtener diferentes mejoras. En primer lugar, las prestaciones aumentan al tener procesadores con distintas alternativas de inyección de tráfico. En segundo lugar, además aumenta la tolerancia a fallos frente a defectos de fabricación (mas importantes conforme avanza la tecnología). Y en tercer lugar, permite una política de apagado de componentes más agresiva que nos permita un ahorro significativo de energía. Hemos evaluado diferentes topologías derivadas del mecanismo de inyección en términos de prestaciones, coste de implementación, y ahorro de consumo. Además, hemos desarrollado simuladores específicos para las distintas técnicas utilizadas. Cada topología diseñada supone una mejora respecto a la anterior, y por supuesto, teniendo en cuenta las topologías existentes. En resumen, nuestro esfuerzo se centra en conseguir un excelente compromiso entre prestaciones, consumo y tolerancia a fallos dentro de una red en chip. Para la primera propuesta (topología NR-Mesh), se alcanzan mejoras en prestaciones de un 7\% y hasta de un 75\% en reducción de consumo de media, comparado con la malla 2D o malla de 2 dimensiones. Para la siguiente propuesta, la malla concentrada paralela (PC-Mesh), el beneficio en prestaciones que se obtiene es de hasta un 20\%, así cómo de un 60\% en reducción deCamacho Villanueva, J. (2012). High Performance and Power Efficient On-Chip Network Designs through Multiple Injection Ports [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/18235Palanci

Hierarchical Agent-based Adaptation for Self-Aware Embedded Computing Systems

Siirretty Doriast

Towards Optimal Application Mapping for Energy-Efficient Many-Core Platforms

Siirretty Doriast

Application Centric Networks-On-Chip Design Solutions for Future Multicore Systems

With advances in technology, future multicore systems scaled to 100s and 1000s of cores/accelerators are being touted as an effective solution for extracting huge performance gains using parallel programming paradigms. However with the failure of Dennard Scaling all the components on the chip cannot be run simultaneously without breaking the power and thermal constraints leading to strict chip power envelops. The scaling up of the number of on chip components has also brought upon Networks-On-Chip (NoC) based interconnect designs like 2D mesh. The contribution of NoC to the total on chip power and overall performance has been increasing steadily and hence high performance power-efficient NoC designs are becoming crucial. Future multicore paradigms can be broadly classified, based on the applications they are tailored to, into traditional Chip Multi processor(CMP) based application based systems, characterized by low core and NoC utilization, and emerging big data application based systems, characterized by large amounts of data movement necessitating high throughput requirements. To this order, we propose NoC design solutions for power-savings in future CMPs tailored to traditional applications and higher effective throughput gains in multicore systems tailored to bandwidth intensive applications. First, we propose Fly-over, a light-weight distributed mechanism for power-gating routers attached to switched off cores to reduce NoC power consumption in low load CMP environment. Secondly, we plan on utilizing a promising next generation memory technology, Spin-Transfer Torque Magnetic RAM(STT-MRAM), to achieve enhanced NoC performance to satisfy the high throughput demands in emerging bandwidth intensive applications, while reducing the power consumption simultaneously. Thirdly, we present a hardware data approximation framework for NoCs, APPROX-NoC, with an online data error control mechanism, which can leverage the approximate computing paradigm in the emerging data intensive big data applications to attain higher performance per watt

Efficient Interconnection Network Design for Heterogeneous Architectures

The onset of big data and deep learning applications, mixed with conventional general-purpose programs, have driven computer architecture to embrace heterogeneity with specialization. With the ever-increasing interconnected chip components, future architectures are required to operate under a stricter power budget and process emerging big data applications efficiently. Interconnection network as the communication backbone thus is facing the grand challenges of limited power envelope, data movement and performance scaling. This dissertation provides interconnect solutions that are specialized to application requirements towards power-/energy-efficient and high-performance computing for heterogeneous architectures. This dissertation examines the challenges of network-on-chip router power-gating techniques for general-purpose workloads to save static power. A voting approach is proposed as an adaptive power-gating policy that considers both local and global traffic status through router voting. In addition, low-latency routing algorithms are designed to guarantee performance in irregular power-gating networks. This holistic solution not only saves power but also avoids performance overhead. This research also introduces emerging computation paradigms to interconnects for big data applications to mitigate the pressure of data movement. Approximate network-on-chip is proposed to achieve high-throughput communication by means of lossy compression. Then, near-data processing is combined with in-network computing to further improve performance while reducing data movement. The two schemes are general to play as plug-ins for different network topologies and routing algorithms. To tackle the challenging computational requirements of deep learning workloads, this dissertation investigates the compelling opportunities of communication algorithm-architecture co-design to accelerate distributed deep learning. MultiTree allreduce algorithm is proposed to bond with message scheduling with network topology to achieve faster and contention-free communication. In addition, the interconnect hardware and flow control are also specialized to exploit deep learning communication characteristics and fulfill the algorithm needs, thereby effectively improving the performance and scalability. By considering application and algorithm characteristics, this research shows that interconnection network can be tailored accordingly to improve the power-/energy-efficiency and performance to satisfy heterogeneous computation and communication requirements

Head-of-Line Blocking Reduction in Power-Efficient Networks-on-Chip

Tesis por compendioNowadays, thanks to the continuous improvements in the integration scale, more and more cores are added on the same chip, leading to higher system performance. In order to interconnect all nodes, a network-on-chip (NoC) is used, which is in charge of delivering data between cores. However, increasing the number of cores leads to a significant power consumption increase, leading the NoC to be one of the most expensive components in terms of power. Because of this, during the last years, several mechanisms have been proposed to address the NoC power consumption by means of DVFS (Dynamic Voltage and Frequency Scaling) and power-gating strategies. Nevertheless, improvements achieved by these mechanisms are achieved, to a greater or lesser extent, at the cost of system performance, potentially increasing the risk of saturating the network by forming congested points which, in turn, compromise the rest of the system functionality. One side effect is the creation of the "Head-of-Line blocking" effect where congested packets at the head of queues prevent other non-blocked packets from advancing. To address this issue, in this thesis, on one hand, we propose novel congestion control techniques in order to improve system performance by removing the "Head-of-Line" blocking effect. On the other hand, we propose combined solutions adapted to DVFS in order to achieve improvements in terms of performance and power. In addition to this, we propose a path-aware power-gating-based mechanism, which is capable of detecting the flows sharing buffer resources along data paths and perform to switch them off when not needed. With all these combined solutions we can significantly reduce the power consumption of the NoC when compared with state-of-the-art proposals.Hoy en día, gracias a las mejoras en la escala de integración cada vez se integran más y más núcleos en un mismo chip, mejorando así sus prestaciones. Para interconectar todos los nodos dentro del chip se emplea una red en chip (NoC, Network-on-Chip), la cual es la encargada de intercambiar información entre núcleos. No obstante, aumentar el número de núcleos en el chip también conlleva a su vez un importante incremento en el consumo de la NoC, haciendo que ésta se convierta en una de las partes más caras del chip en términos de consumo. Por ello, en los últimos años se han propuesto diversas técnicas de ahorro de energía orientadas a reducir el consumo de la NoC mediante el uso de DVFS (Dynamic Voltage and Frequency Scaling) o estrategias basadas en "power-gating". Sin embargo, éstas mejoras de consumo normalmente se obtienen a costa de sacrificar, en mayor o menor medida, las prestaciones del sistema, aumentado potencialmente así el riesgo de saturar la red, generando puntos de congestión que, a su vez, comprometen el rendimiento del resto del sistema. Un efecto colateral es el "Head-of-Line blocking", mediante el que paquetes congestionados en la cabeza de la cola impiden que otros paquetes no congestionados avancen. Con el fin de solucionar este problema, en ésta tesis, en primer lugar, proponemos técnicas novedosas de control de congestión para incrementar el rendimiento del sistema mediante la eliminación del "Head-of-Line blocking", mientras que, por otra parte, proponemos soluciones combinadas adaptadas a DVFS con el fin de conseguir mejoras en términos de rendimiento y energía. Además, proponemos una técnica de "power-gating" orientada a rutas de datos, la cual es capaz de detectar flujos de datos compartiendo recursos a lo largo de rutas y apagar dichos recursos de forma dinámica cuando no son necesarios. Con todas éstas soluciones combinadas podemos reducir el consumo de energía de la NoC en comparación con otras técnicas presentes en el estado del arte.Hui en dia, gr\`acies a les millores en l'escala d'integraci\'o, cada vegada s'integren m\'es i m\'es nuclis en un mateix xip, la qual cosa millora les seues prestacions. Per tal d'interconectar tots els nodes dins el xip es fa \'us d'una Xarxa en Xip (NoC; Network-on-Chip), la qual \'es l'encarregada d'intercanviar informaci\'o entre els nuclis. No obstant aix\`o, incrementar el nombre de nuclis en el xip tamb\'e comporta un important augment en el consum de la NoC, la qual cosa fa que aquesta es convertisca en una de les parts m\'es costoses del xip en termes de consum. Per aix\`o, en els \'ultims anys s'han proposat diverses t\`ecniques d'estalvi d'energia orientades a reduir el consum de la NoC mitjançant l'\'us de DVFS (Dynamic Voltage and Frequency Scaling) o estrat\`egies basades en ``power-gating''. Malgrat aix\`o, aquestes millores en les prestacions normalment s'obtenen a costa de sacrificar, en major o menor mesura, les prestacions del sistema i augmenta aix\'i el risc de saturar la xarxa al generar-se punts de congesti\'o, que al mateix temps, comprometen el rendiment de la resta del sistema. Un efecte col-lateral \'es el ``Head-of- Line blocking'', mitjançant el qual, els paquets congestionats al cap de la cua, impedixen que altres paquets no congestionats avancen. A fi de solucionar eixe problema, en aquesta tesi, en primer lloc, proposem noves t\`ecniques de control de congesti\'o amb l'objectiu d'incrementar el rendiment del sistema per mitj\`a de l'eliminaci\'o del ``Head-of- Line blocking'', i d'altra banda, proposem solucions combinades adaptades a DVFS amb la finalitat d'aconseguir millores en termes de rendiment i energia. A m\'es, proposem una t\`ecnica de ``power-gating'' orientada a rutes de dades, la qual \'es capa\c c de detectar fluxos de dades al compartir recursos al llarg de les rutes i apagar eixos recursos de forma din\`amica quan no s\'on necessaris. Amb totes aquestes solucions combinades podem reduir el consum d'energia de la NoC en comparaci\'o amb altres t\`ecniques presents en l'estat de l'art.Escamilla López, JV. (2017). Head-of-Line Blocking Reduction in Power-Efficient Networks-on-Chip [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/90419TESISCompendi