15 research outputs found
Methodologies and Toolflows for the Predictable Design of Reliable and Low-Power NoCs
There is today the unmistakable need to evolve design methodologies and
tool
ows for Network-on-Chip based embedded systems. In particular, the
quest for low-power requirements is nowadays a more-than-ever urgent dilemma.
Modern circuits feature billion of transistors, and neither power management
techniques nor batteries capacity are able to endure the increasingly higher
integration capability of digital devices. Besides, power concerns come together
with modern nanoscale silicon technology design issues.
On one hand, system failure rates are expected to increase exponentially at
every technology node when integrated circuit wear-out failure mechanisms
are not compensated for. However, error detection and/or correction mechanisms
have a non-negligible impact on the network power.
On the other hand, to meet the stringent time-to-market deadlines, the design
cycle of such a distributed and heterogeneous architecture must not be
prolonged by unnecessary design iterations.
Overall, there is a clear need to better discriminate reliability strategies and
interconnect topology solutions upfront, by ranking designs based on power
metric. In this thesis, we tackle this challenge by proposing power-aware
design technologies.
Finally, we take into account the most aggressive and disruptive methodology
for embedded systems with ultra-low power constraints, by migrating
NoC basic building blocks to asynchronous (or clockless) design style. We
deal with this challenge delivering a standard cell design methodology and
mainstream CAD tool
ows, in this way partially relaxing the requirement
of using asynchronous blocks only as hard macros
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Design and performance optimization of asynchronous networks-on-chip
As digital systems continue to grow in complexity, the design of conventional synchronous systems is facing unprecedented challenges. The number of transistors on individual chips is already in the multi-billion range, and a greatly increasing number of components are being integrated onto a single chip. As a consequence, modern digital designs are under strong time-to-market pressure, and there is a critical need for composable design approaches for large complex systems.
In the past two decades, networks-on-chip (NoCâs) have been a highly active research area. In a NoC-based system, functional blocks are first designed individually and may run at different clock rates. These modules are then connected through a structured network for on-chip global communication. However, due to the rigidity of centrally-clocked NoCâs, there have been bottlenecks of system scalability, energy and performance, which cannot be easily solved with synchronous approaches. As a result, there has been significant recent interest in combing the notion of asynchrony with NoC designs. Since the NoC approach inherently separates the communication infrastructure, and its timing, from computational elements, it is a natural match for an asynchronous paradigm. Asynchronous NoCâs, therefore, enable a modular and extensible system composition for an âobject-orientâ design style.
The thesis aims to significantly advance the state-of-art and viability of asynchronous and globally-asynchronous locally-synchronous (GALS) networks-on-chip, to enable high-performance and low-energy systems. The proposed asynchronous NoCâs are nearly entirely based on standard cells, which eases their integration into industrial design flows. The contributions are instantiated in three different directions.
First, practical acceleration techniques are proposed for optimizing the system latency, in order to break through the latency bottleneck in the memory interfaces of many on-chip parallel processors. Novel asynchronous network protocols are proposed, along with concrete NoC designs. A new concept, called âmonitoring networkâ, is introduced. Monitoring networks are lightweight shadow networks used for fast-forwarding anticipated traffic information, ahead of the actual packet traffic. The routers are therefore allowed to initiate and perform arbitration and channel allocation in advance. The technique is successfully applied to two topologies which belong to two different categories â a variant mesh-of-trees (MoT) structure and a 2D-mesh topology. Considerable and stable latency improvements are observed across a wide range of traffic patterns, along with moderate throughput gains.
Second, for the first time, a high-performance and low-power asynchronous NoC router is compared directly to a leading commercial synchronous counterpart in an advanced industrial technology. The asynchronous router design shows significant performance improvements, as well as area and power savings. The proposed asynchronous router integrates several advanced techniques, including a low-latency circular FIFO for buffer design, and a novel end-to-end credit-based virtual channel (VC) flow control. In addition, a semi-automated design flow is created, which uses portions of a standard synchronous tool flow.
Finally, a high-performance multi-resource asynchronous arbiter design is developed. This small but important component can be directly used in existing asynchronous NoCâs for performance optimization. In addition, this standalone design promises use in opening up new NoC directions, as well as for general use in parallel systems. In the proposed arbiter design, the allocation of a resource to a client is divided into several steps. Multiple successive client-resource pairs can be selected rapidly in pipelined sequence, and the completion of the assignments can overlap in parallel.
In sum, the thesis provides a set of advanced design solutions for performance optimization of asynchronous and GALS networks-on-chip. These solutions are at different levels, from network protocols, down to router- and component-level optimizations, which can be directly applied to existing basic asynchronous NoC designs to provide a leap in performance improvement
Master of Science
thesisIntegrated circuits often consist of multiple processing elements that are regularly tiled across the two-dimensional surface of a die. This work presents the design and integration of high speed relative timed routers for asynchronous network-on-chip. It researches NoC's efficiency through simplicity by directly translating simple T-router, source-routing, single-flit packet to higher radix routers. This work is intended to study performance and power trade-offs adding higher radix routers, 3D topologies, Virtual Channels, Accurate NoC modeling, and Transmission line communication links. Routers with and without virtual channels are designed and integrated to arrayed communication networks. Furthermore, the work investigates 3D networks with diffusive RC wires and transmission lines on long wrap interconnects
Exploration and Design of High Performance Variation Tolerant On-Chip Interconnects
Siirretty Doriast
Doctor of Philosophy
dissertationCommunication surpasses computation as the power and performance bottleneck in forthcoming exascale processors. Scaling has made transistors cheap, but on-chip wires have grown more expensive, both in terms of latency as well as energy. Therefore, the need for low energy, high performance interconnects is highly pronounced, especially for long distance communication. In this work, we examine two aspects of the global signaling problem. The first part of the thesis focuses on a high bandwidth asynchronous signaling protocol for long distance communication. Asynchrony among intellectual property (IP) cores on a chip has become necessary in a System on Chip (SoC) environment. Traditional asynchronous handshaking protocol suffers from loss of throughput due to the added latency of sending the acknowledge signal back to the sender. We demonstrate a method that supports end-to-end communication across links with arbitrarily large latency, without limiting the bandwidth, so long as line variation can be reliably controlled. We also evaluate the energy and latency improvements as a result of the design choices made available by this protocol. The use of transmission lines as a physical interconnect medium shows promise for deep submicron technologies. In our evaluations, we notice a lower energy footprint, as well as vastly reduced wire latency for transmission line interconnects. We approach this problem from two sides. Using field solvers, we investigate the physical design choices to determine the optimal way to implement these lines for a given back-end-of-line (BEOL) stack. We also approach the problem from a system designer's viewpoint, looking at ways to optimize the lines for different performance targets. This work analyzes the advantages and pitfalls of implementing asynchronous channel protocols for communication over long distances. Finally, the innovations resulting from this work are applied to a network-on-chip design example and the resulting power-performance benefits are reported
Analysis of asynchronous routers for network-on-chip applications
Asynchronous circuit design has been conventionally regarded as a valid alternative to synchronous logic due to its potential for low consumption of resources, power and delay. This includes areas such as the communication infrastructure of modern multi core processors, the so-called Network-on-Chip (NoC) paradigm on which this thesis focus on. In recent times, the transistor downscaling and the increasing clock frequencies have pushed synchronous design to high static power and delay. As a result, the interest for asynchronous integrated routers and links has re-emerged, especially in fields with ultra-low power requirements such as embedded systems. In this thesis, we construct an asynchronous router using Verilog code based on architectures found in the literature. We analyze the functionality of each of the building blocks and verify the operation of the implemented routing algorithm and arbitration mechanism. In the future, the results obtained here are expected to enable a complete implementation of the router in Verilog and its posterior analysis of its scalability
An Asynchronous Network-On-Chip Router with Low Standby Power
The Network-on-Chip (NoC) paradigm is now widely used to interconnect the processing elements (PEs) in a chip multiprocessor (CMP). It has been reported that the NoC consumes about a third of the total power consumption of the multi-core processor. To address this, asynchronous NoC routers have been proposed, to eliminate the clocking power associated with the NoC implementation, which is typically a large fraction of the NoC power consumption. In this work, we present a technique to reduce the standby power of a state-of-the-art asynchronous NoC router. In our approach, the router is put in a known input state when idle, and each gate in the unmodified router is replaced by a logically equivalent gate whose supply pin is connected to a PMOS device with a high threshold voltage in case its output in the idle state was 0. On the other hand, if the output of the unmodified gate in the idle state was 1, it is replaced by a logically equivalent gate whose ground terminal is connected to a NMOS device with a high threshold voltage. Our router is inserted in an NoC, and verified logically for correct routing functionality. We also simulated it at the circuit level using a 45nm fabrication technology, and show that it has a low wake-up time from sleep, and a minimal steady-state routing delay (13%) and area (23%) overhead, and a 8.1Ă lower standby power, when compared to an unmodified asynchronous NoC router, which was also implemented. Our leakage improvement is achieved in part by using a novel method to control the leakage of the inverter chain used to drive the sleep signal, something which that is not possible with traditional leakage reduction techniques
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On Multicast in Asynchronous Networks-on-Chip: Techniques, Architectures, and FPGA Implementation
In this era of exascale computing, conventional synchronous design techniques are facing unprecedented challenges. The consumer electronics market is replete with many-core systems in the range of 16 cores to thousands of cores on chip, integrating multi-billion transistors. However, with this ever increasing complexity, the traditional design approaches are facing key issues such as increasing chip power, process variability, aging, thermal problems, and scalability. An alternative paradigm that has gained significant interest in the last decade is asynchronous design. Asynchronous designs have several potential advantages: they are naturally energy proportional, burning power only when active, do not require complex clock distribution, are robust to different forms of variability, and provide ease of composability for heterogeneous platforms. Networks-on-chip (NoCs) is an interconnect paradigm that has been introduced to deal with the ever-increasing system complexity. NoCs provide a distributed, scalable, and efficient interconnect solution for todayâs many-core systems. Moreover, NoCs are a natural match with asynchronous design techniques, as they separate communication infrastructure and timing from the computational elements. To this end, globally-asynchronous locally-synchronous (GALS) systems that interconnect multiple processing cores, operating at different clock speeds, using an asynchronous NoC, have gained significant interest. While asynchronous NoCs have several advantages, they also face a key challenge of supporting new types of traffic patterns. Once such pattern is multicast communication, where a source sends packets to arbitrary number of destinations. Multicast is not only common in parallel computing, such as for cache coherency, but also for emerging areas such as neuromorphic computing. This important capability has been largely missing from asynchronous NoCs. This thesis introduces several efficient multicast solutions for these interconnects. In particular, techniques, and network architectures are introduced to support high-performance and low-power multicast. Two leading network topologies are the focus: a variant mesh-of-trees (MoT) and a 2D mesh. In addition, for a more realistic implementation and analysis, as well as significantly advancing the field of asynchronous NoCs, this thesis also targets synthesis of these NoCs on commercial FPGAs. While there has been significant advances in FPGA technologies, there has been only limited research on implementing asynchronous NoCs on FPGAs. To this end, a systematic computeraided design (CAD) methodology has been introduced to efficiently and safely map asynchronous NoCs on FPGAs. Overall, this thesis makes the following three contributions. The first contribution is a multicast solution for a variant MoT network topology. This topology consists of simple low-radix switches, and has been used in high-performance computing platforms. A novel local speculation technique is introduced, where a subset of the networkâs switches are speculative that always broadcast every packet. These switches are very simple and have high performance. Speculative switches are surrounded by non-speculative ones that route packets based on their destinations and also throttle any redundant copies created by the former. This hybrid network architecture achieved significant performance and power benefits over other multicast approaches. The second contribution is a multicast solution for a 2D-mesh topology, which is more complex with higher-radix switches and also is more commonly used. A novel continuous-time replication strategy is introduced to optimize the critical multi-way forking operation of a multicast transmission. In this technique, a multicast packet is first stored in an input port of a switch, from where it is sent through distinct output ports towards different destinations concurrently, at each outputâs own rate and in continuous time. This strategy is shown to have significant latency and energy benefits over an approach that performs multicast using multiple distinct serial unicasts to each destination. Finally, a systematic CAD methodology is introduced to synthesize asynchronous NoCs on commercial FPGAs. A two-fold goal is targeted: correctness and high performance. For ease of implementation, only existing FPGA synthesis tools are used. Moreover, since asynchronous NoCs involve special asynchronous components, a comprehensive guide is introduced to map these elements correctly and efficiently. Two asynchronous NoC switches are synthesized using the proposed approach on a leading Xilinx FPGA in 28 nm: one that only handles unicast, and the other that also supports multicast. Both showed significant energy benefits with some performance gains over a state-of-the-art synchronous switch
Core interface optimization for multi-core neuromorphic processors
Hardware implementations of Spiking Neural Networks (SNNs) represent a
promising approach to edge-computing for applications that require low-power
and low-latency, and which cannot resort to external cloud-based computing
services. However, most solutions proposed so far either support only
relatively small networks, or take up significant hardware resources, to
implement large networks. To realize large-scale and scalable SNNs it is
necessary to develop an efficient asynchronous communication and routing fabric
that enables the design of multi-core architectures. In particular the core
interface that manages inter-core spike communication is a crucial component as
it represents the bottleneck of Power-Performance-Area (PPA) especially for the
arbitration architecture and the routing memory. In this paper we present an
arbitration mechanism with the corresponding asynchronous encoding pipeline
circuits, based on hierarchical arbiter trees. The proposed scheme reduces the
latency by more than 70% in sparse-event mode, compared to the state-of-the-art
arbitration architectures, with lower area cost. The routing memory makes use
of asynchronous Content Addressable Memory (CAM) with Current Sensing
Completion Detection (CSCD), which saves approximately 46% energy, and achieves
a 40% increase in throughput against conventional asynchronous CAM using
configurable delay lines, at the cost of only a slight increase in area. In
addition as it radically reduces the core interface resources in multi-core
neuromorphic processors, the arbitration architecture and CAM architecture we
propose can be also applied to a wide range of general asynchronous circuits
and systems
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Network-on-Chip Synchronization
Technology scaling has enabled the number of cores within a System on Chip (SoC) to increase significantly. Globally Asynchronous Locally Synchronous (GALS) systems using Dynamic Voltage and Frequency Scaling (DVFS) operate each of these cores on distinct and dynamic clock domains. The main communication method between these cores is increasingly more likely to be a Network-on-Chip (NoC). Typically, the interfaces between these clock domains experience multi-cycle synchronization latencies due to their use of âbrute-forceâ synchronizers. This dissertation aims to improve the performance of NoCs and thereby SoCs as a whole by reducing this synchronization latency.
First, a survey of NoC improvement techniques is presented. One such improvement technique: a multi-layer NoC, has been successfully simulated. Given how one of the most commonly used techniques is DVFS, a thorough analysis and simulation of brute-force synchronizer circuits in both current and future process technologies is presented. Unfortunately, a multi-cycle latency is unavoidable when using brute-force synchronizers, so predictive synchronizers which require only a single cycle of latency have been proposed.
To demonstrate the impact of these predictive synchronizer circuits at a high level, multi-core system simulations incorporating these circuits have been completed. Multiple forms of GALS NoC configurations have been simulated, including multi-synchronous, NoC-synchronous, and single-synchronizer. Speedup on the SPLASH benchmark suite was measured to directly quantify the performance benefit of predictive synchronizers in a full system. Additionally, Mean Time Between Failures (MTBF) has been calculated for each NoC synchronizer configuration to determine the reliability benefit possible when using predictive synchronizers