SoC Design Lecture 13: NoC (Network-on-Chip) Department of Computer Engineering Sharif University of Technology
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1 SoC Design Lecture 13: NoC (Network-on-Chip) Department of Computer Engineering Sharif University of Technology
2 Outline SoC Interconnect NoC Introduction NoC layers Typical NoC Router NoC Issues Switching Performance evaluation Power consumption Different topologies of NoC Routing Algorithms Summary Sharif University of Technology SoC: Network On Chip Page 2 of 86
3 Building a CMP with Shared Memory Build a Chip Multi-Processor (CMP) with existing modules Local & Shared Memory architecture Schema example: Interconnect Defining module connections Memory Using existing modules CPU & Local Memory CPU & Local Memory CPU & Local Memory CPU & Local Memory Sharif University of Technology SoC: Network On Chip Page 3 of 86
4 Approaches of Interconnect Dedicated wiring poor reusability poor scalability problems of wiring latency and noise Shared bus limited bandwidth limited system complexity Sharif University of Technology SoC: Network On Chip Page 4 of 86
5 Bus Inheritance P P From Board level into Chip level Sharif University of Technology SoC: Network On Chip Page 5 of 86
6 Typical Solution : Bus Shared Bus B Segmented Bus B Sharif University of Technology SoC: Network On Chip Page 6 of 86
7 Typical Solution : Bus Segmented Bus B B Multi-Level Segmented Bus B B Original bus features: One transaction at a time Central Arbiter Limited bandwidth Synchronous Low cost New features: Versatile bus architectures Pipelining capability Burst transfer Split transactions Transaction preemption and resume Transaction reordering Sharif University of Technology SoC: Network On Chip Page 7 of 86
8 Approaches of Interconnect (Cont d) Parallel topologies have been proposed to increase the amount of delivered bandwidth Ex. partial or full crossbars Scalability limitations of crossbar-based interconnection fabrics are well known New communication protocols have been developed: more effective exploitation of the available bandwidth Ex. : AMBA 3.0 AXI and the open-core protocol (OCP) Provide support for point-to-point communication only and do not provide any specification on the interconnect fabric Sharif University of Technology SoC: Network On Chip Page 8 of 86
9 Approaches of Interconnect (Cont d) Networks-on-chip (NoCs) Most important alternative for the design of modular and scalable communication architectures Providing inherent support to the integration of heterogeneous cores through standard socket interfaces Relieve system-level integration issues Suitable to deal with the challenges of nanoscale technology Area and power overheads is significant in spite of the performance benefits Sharif University of Technology SoC: Network On Chip Page 9 of 86
10 Outline SoC Interconnect NoC Introduction NoC layers Typical NoC Router NoC Issues Switching Performance evaluation Power consumption Different topologies of NoC Routing Algorithms Summary Sharif University of Technology SoC: Network On Chip Page 10 of 86
11 New Solution: On-chip Communication Bus-based architectures Irregular architectures Regular Architectures Bus based interconnect Low cost Easier to Implement Flexible Networks on Chip Layered Approach Buses replaced with Networked architectures Better electrical properties Higher bandwidth Energy efficiency Scalable Sharif University of Technology SoC: Network On Chip 11of 86
12 What is NoC? According to Wikipedia: Network-on-a-chip (NoC) is a new paradigm for Systemon-Chip (SoC) design. NoC based-systems accommodate multiple asynchronous clocking that many of today's complex SoC designs use. The NoC solution brings a networking method to on-chip communications and claims roughly a threefold performance increase over conventional bus systems. Imprecise Sharif University of Technology SoC: Network On Chip 12 of 86
13 NoC Exemplified Processor Master Processor Master Processor Master Routing Node Routing Node Routing Node Global Memory Slave Processor Master Processor Master Processor Master Global I/O Slave Routing Node Routing Node Routing Node Global I/O Slave Processor Master Processor Master Processor Master Routing Node Routing Node Routing Node Sharif University of Technology SoC: Network On Chip 13 of 86
14 Basic Ingredients of an NoC N Computational Resources Processing Elements (PE) 1 Connection Topology 1 Routing technique M N Switches N Network Interfaces Sharif University of Technology SoC: Network On Chip 14 of 86
15 For the Connoisseurs 1 Addressing system 1 Switch-level Arbitration policy 1 Communication Protocol 1 Programming model Message passing Shared Memory Sharif University of Technology SoC: Network On Chip 15 of 86
16 NoC s Requirements Requirements: Different QoS must be supported Bandwidth Latency Distributed deadlock free routing Distributed congestion/flow control Low VLSI Cost Sharif University of Technology SoC: Network On Chip Page 16 of 86
17 NoC: Good news Only point-to-point one-way wires are used, for all network sizes Aggregated bandwidth scales with the network size Routing decisions are distributed and the same router is re-instantiated, for all network sizes NoCs increase the wires utilization (as opposed to adhoc p2p wires) Sharif University of Technology SoC: Network On Chip 17 of 86
18 NoC: Bad news Internal network contention causes (often unpredictable) latency The network has a significant silicon area Bus-oriented IPs need smart wrappers Software needs clean synchronization in multiprocessor systems System designers need reeducation for new concepts Sharif University of Technology SoC: Network On Chip 18 of 86
19 Facts about NoCs It is a way to decouple computation from communication The design is layered (physical, network, application ) Communication between processing elements in NoC takes place by encapsulating data in packets The elementary packet piece to which switch and routing operations apply is the flit Sharif University of Technology SoC: Network On Chip 19 of 86
20 Network on Chip vs. Bus Networks are preferred over buses: Higher bandwidth Concurrency, effective spatial reuse of resources Higher levels of abstraction Modularity - Design Productivity Improvement Scalability Sharif University of Technology SoC: Network On Chip Page 20 of 86
21 NoC vs. Off-Chip Networks What is Different? Routers on Planar Grid Topology Short p2p Links between routers Unique VLSI Cost Sensitivity: Area-Routers and Links Power Sharif University of Technology SoC: Network On Chip 21of 86
22 NoC vs. Off-Chip Networks (Cont d) No legacy protocols to be compliant with No software simple and hardware efficient protocols Different operating env. (no dynamic changes and failures) Custom Network Design You design what you need! Example1: Replace modules Replace Sharif University of Technology SoC: Network On Chip 22of 86
23 Who first had the idea? No clear parenthood. The most referred papers according to Google (#cit.) Guerrier 00 (204), A Generic Architecture for On-Chip Packet-Switched Interconnections Dally 01 (392), Route Packets, Not Wires: On-Chip Interconnection Networks Benini 02 (417), Networks on Chips: A New SoC Paradigm Kumar 02 (184), A Network on Chip Architecture and Design Methodology Sharif University of Technology SoC: Network On Chip 23 of 86
24 SPIN (Guerrier et al., DATE 00/ 03) Wormhole switching, adaptive routing and credit-based flow control It is based on a fat-tree topology A flit is only one word (36 bits, 4 bits are for packet framing) The input buffers have a depth of 4 words Sharif University of Technology SoC: Network On Chip 24 of 86
25 Dally et al., DAC 01 2D folded torus topology Wormhole routing and Virtual Channels (VC) Sharif University of Technology SoC: Network On Chip 25 of 86
26 Kumar et al., ISLVLSI 02 Chip-Level Integration of Communicating Heterogeneous Elements, CLICHÉ 2D Mesh Topology Message Passing Sharif University of Technology SoC: Network On Chip 26 of 86
27 Pande et al., TCOMP 05 Butterfly Fat Tree Wormhole, Virtual channels Header flits: 3 ck cycles latency (input arbitration, routing, output arbitration) Body flits: 3 ck cycles (input arbitration, switch traversal, output arbitration) Sharif University of Technology SoC: Network On Chip 27 of 86
28 Goossens et al., IEE CDT 03 Both VCT and WH, GT and BE GT uses TDM to avoid contention and create virtual circuits In each time slot a block of 3 flits is transferred from In j to Out k in a S&F fashion BE uses Matrix Scheduling GT connections set up by BE special system packets Prototype with WH 5 ports 0.13 um, 0.26 mm 2, 500/166 MHz Flit size = 3 words, each 32 bits 80 Gb/s aggregate bandwidth Sharif University of Technology SoC: Network On Chip 28 of 86
29 Common Properties Data integrity: means that data is delivered uncorrupted Lossless data delivery: means no data is dropped in the interconnect In-order data delivery: specifies that the order in which data is delivered is the same order in which it has been sent Throughput and Latency: services that offer time related bounds Sharif University of Technology SoC: Network On Chip 29 of 86
30 The Interconnection Network Network on Chip (NOC) CPU Network Interface Switch Switch Network Interface Mem. buffers buffers Links to/from other switches or network interfaces Network Interface Switch Sharif University of Technology SoC: Network On Chip 30of 86
31 Communication Centric Design Application Architecture Library Architecture / Application Model NoC Optimization Configure Evaluate Refine Analysis / Profile Good? Synthesis No Optimized NoC Sharif University of Technology SoC: Network On Chip Page 31 of 86
32 Outline SoC Interconnect NoC Introduction NoC layers Physical layer Data link layer Network layer Transport Layer Application Layer Typical NoC Router NoC Issues Switching Performance evaluation Power consumption Different topologies of NoC Routing Algorithms Region Summary Sharif University of Technology SoC: Network On Chip Page 32 of 86
33 Network on Chip - Layers Software Transport Network Wiring Separation of concerns Traffic Modeling Architect ures Queuin g Theory Networking Sharif University of Technology SoC: Network On Chip 33of 86
34 Several Layers of Communication Communication Layers and unit of communication: Physical layer: Word Data link layer: Flit Network layer: Packet Transport layer: Message Application layer Sharif University of Technology SoC: Network On Chip Page 34 of 86
35 Flow of Data from Source to Sink through the NoC Components Sharif University of Technology SoC: Network On Chip Page 35 of 86
36 NoC Layering Physical interpretation Sharif University of Technology SoC: Network On Chip Page 36 of 86
37 Physical Layer Parameters: Physical distance Number of lines Activity control Buffers and pipelining Sharif University of Technology SoC: Network On Chip 37of 86
38 Data Link Layer Parameters: Line frequency versus switch frequency (word versus flit) Buffering Error correction Power optimization; e.g. avoid activity and power optimized encoding Sharif University of Technology SoC: Network On Chip 38of 86
39 Network Layer Parameters: flit size versus packet size Network address scheme, e.g bit for 16*16 resources Routing algorithm Priority classes: e.g. 2 classes: high priority, fixed delay flits low priority, best effort delay flits Error correction Sharif University of Technology SoC: Network On Chip 39of 86
40 Transport Layer Parameters: Message size Virtual channels with traffic profiles Signaling Priority classes of channels, e.g. constant bit rate traffic varying bit rate traffic Network resource management Error correction Sharif University of Technology SoC: Network On Chip 40of 86
41 Application Layer Interprocess communication at the task level: send / receive for individual messages open; write/read; close for channel based communication Mapping issues: Assigning tasks to resources Translating task addresses to resource/task addresses Establishing and closing channels Static allocation versus dynamic allocation Sharif University of Technology SoC: Network On Chip 41of 86
42 Outline SoC Interconnect NoC Introduction NoC layers Typical NoC Router NoC Issues Switching Performance evaluation Power consumption Different topologies of NoC Routing Algorithms Region Summary Sharif University of Technology SoC: Network On Chip Page 42 of 86
43 Regular Network on Chip PE PE PE PE PE PE Router PE PE PE PE Sharif University of Technology SoC: Network On Chip Page 43 of 86
44 Typical NoC Router LC FC FC LC LC FC Crossbar Switch FC LC LC FC FC LC Routing Arbitration Sharif University of Technology SoC: Network On Chip Page 44 of 86
45 Outline SoC Interconnect NoC Introduction NoC layers Typical NoC Router NoC Issues Switching Performance evaluation Power consumption Different topologies of NoC Routing Algorithms Summary Sharif University of Technology SoC: Network On Chip Page 45 of 86
46 NoC Issues LC LC FC FC Crossbar Switch FC FC LC LC LC FC FC LC Routing Arbitration Irregular architectures Regular Architectures Application Specific Optimization Switching Buffers Routing Topology Mapping to topology Implementation and Reuse Sharif University of Technology SoC: Network On Chip Page 46 of 86
47 Mapping Problems Link bandwidth requirement Communication latency routing algorithm Communication flow power consumption Sharif University of Technology SoC: Network On Chip Page 47 of 86
48 Switching Again, techniques inherited from Computer and Communication Networks Flow control is a synchronization protocol for transmitting and receiving a unit of information Switching techniques differ in the relationship between the sizes of the physical and message flow control units New constraints in silicon: area and power Use as few buffers as possible Store & Forward and Virtual-Cut-Through Need buffers size for an entire packet, unsuited! Limited buffer size in Wormhole Virtual channels Increase buffer size Sharif University of Technology SoC: Network On Chip 48 of 86
49 Switching (Cont d) Circuit Switching Packet Switching (Store-and-Forward) Virtual Cut-Through Switching Wormhole switching Hybrid architecture Sharif University of Technology SoC: Network On Chip Page 49 of 86
50 Circuit Switching A physical path from the source to the destination is reserved prior to the transmission of the data routing information set up during initialization Guaranteed transmission latency and throughput Switch design has lower complexity Advantageous when messages are infrequent and long Suitable for application-specific SoC Disadvantage : physical path is reserved for the duration of the message and may block other messages Sharif University of Technology SoC: Network On Chip Page 50 of 86
51 Circuit Switching (Cont d) Sharif University of Technology SoC: Network On Chip Page 51 of 86
52 Packet Switching Each packet is individually routed from source to destination A packet is completely buffered at each intermediate node before it is forwarded to the next node Advantageous when messages are short and frequent Disadvantage : Splitting a message into packets produces some overhead In addition to the time required at source and destination nodes, every packet must be routed at each intermediate node Structure Switch design has higher complexity Modularity interface reusability Scalability bandwidth Sharif University of Technology SoC: Network On Chip Page 52 of 86
53 Packet Switching (Cont d) Sharif University of Technology SoC: Network On Chip Page 53 of 86
54 Virtual Cut-Through Switching Packet switching : a packet must be received in its entirety before any routing decision can be made and the packet forwarded to the destination Virtual Cut-Through: Packet header can be examined as soon as it is received Router starts forwarding the header and following data bytes as soon as routing decisions have been made and the output buffer is free Sharif University of Technology SoC: Network On Chip Page 54 of 86
55 NoC Wormhole Routing Message packets are also pipelined through the network The flit is the unit of message flow control, and input and output buffers at a router are typically large enough to store a few flits Wormhole Routing For reduced buffering Wormhole Packet: Flit (routing info) Flit Flit Flit Flit Flit Sharif University of Technology SoC: Network On Chip 55of 86
56 NoC Wormhole Router Sharif University of Technology SoC: Network On Chip 56 of 86
57 Virtual Channel Sharing of a physical channel by several logically separate channels with individual and independent buffer queues Advantages: Avoiding deadlocks Optimizing wire utilization Improving performance Providing differentiated services Disadvantages: Area overhead Power overhead Sharif University of Technology SoC: Network On Chip Page 57 of 86
58 Virtual Channel (Cont d) Node A SW0 SW1 SW2 Packet Packet SW3 Node B Sharif University of Technology SoC: Network On Chip 58 of 86
59 Outline NoC Issues Switching Performance evaluation Power consumption Different topologies of NoC Routing Algorithms Sharif University of Technology SoC: Network On Chip Page 59 of 86
60 NoC Analysis Universally applicable parameters of NoC : Latency Bandwidth Jitter Power consumption Area usage Sharif University of Technology SoC: Network On Chip Page 60 of 86
61 NoC Analysis (Cont d) Analytical performance model for the on-chip communications Stochastic modeling based on queuing theory Router Priority Queue Network Interface Processing node Sharif University of Technology SoC: Network On Chip 61 of 86
62 Importance of Performance Evaluation Customization of NoC resources Reduction of cost in the communication network Maintaining the required Quality of Service Evaluation of different configuration to increase performance Sharif University of Technology SoC: Network On Chip Page 62 of 86
63 Latency Metrics Sender Sender Overhead Transmission time (size bandwidth) Receiver (processor busy) Time of Flight Transmission time (size bandwidth) Transport Latency Receiver Overhead (processor busy) Total Latency Total Latency = Sender Overhead + Time of Flight + Message Size BW + Receiver Overhead Sharif University of Technology SoC: Network On Chip 63 of 86
64 Sources of Power Consumption Shared memory power consumption Node power consumption Interconnect network power consumption The internal node switch The internal buffers The interconnect wires P NoC = P routers + P links Sharif University of Technology SoC: Network On Chip Page 64 of 86
65 Simple Energy Model Hu assume: E bit = E Sbit + E Bbit + E Wbit + E Lbit Simplifying assumptions: Buffer implemented using latches and flip-flops Negligible internal wire energy Router to Router Energy (minimal routing) E bit = n hops x E Sbit + (n hops 1) x E Lbit n hops proportional to energy consumption PE1 PE3 PE2 Sharif University of Technology SoC: Network On Chip 65 of 86
66 Outline NoC Issues Switching Performance evaluation Different topologies of NoC Routing Algorithms Sharif University of Technology SoC: Network On Chip Page 66 of 86
67 Different Topologies for NoC Heritage of networks with new constraints Need to accommodate interconnects in a 2D layout Cannot route long wires (clock frequency bound) a) SPIN, b) CLICHE c) Torus d) Folded torus e) Octagon f) BFT. Sharif University of Technology SoC: Network On Chip 67 of 86
68 Topologies - Examples MEM MEM CPU & Local Memory Global Memory Network Interface Fat tree Network Switch Bus MEM Sharif University of Technology SoC: Network On Chip Page 68 of 86
69 Topologies Examples (Cont d) MEM Tree MEM CPU & Local Memory Global Memory Network Interface Network Switch Star 7 CPUs with local memory 1 Global memory 1 8-port switch 8 Network interfaces MEM Sharif University of Technology SoC: Network On Chip Page 69 of 86
70 Topology - Mesh Bidirectional links (double the connections) Asymetric at edges Sharif University of Technology SoC: Network On Chip Page 70 of 86
71 Topology Mesh (Cont d) Resource-to-switch ratio: 1 A switch is connected to 4 switches and 1 resource A resource is connected to 1 switch Max number of hops grows with 2n Sharif University of Technology SoC: Network On Chip Page 71 of 86
72 Topologies - Tree One route Bidirectional links Top-level nodes overloaded Sharif University of Technology SoC: Network On Chip Page 72 of 86
73 Outline NoC Issues Switching Performance evaluation Different topologies of NoC Routing Algorithms Sharif University of Technology SoC: Network On Chip Page 73 of 86
74 Routing Objective : Find a path from a source node to a destination node on a given topology One of the key components that determine the performance of the network Performance measures of a routing algorithm: Reduce the number of hops and overall latency Balance the load of network channels Sharif University of Technology SoC: Network On Chip Page 74 of 86
75 Routing Algorithm Connection-oriented vs. connectionless Connection-oriented : involve a dedicated (logical) connection path established prior to data transport. Connectionless : the communication occurs in a dynamic manner with no prior arrangement between the sender and the receiver Minimal vs. nonminimal routing Minimal : only consider minimal routes (shortest path) Non-Minimal : allow even nonminimal routes Sharif University of Technology SoC: Network On Chip Page 75 of 86
76 Routing Algorithm (Cont d) Central vs. distributed control Centralized control : routing decisions are made globally Distributed control : routing decisions are made locally Delay vs. loss Delay model : datagrams are never dropped Loss model : datagrams can be dropped Deterministic vs. adaptive routing Sharif University of Technology SoC: Network On Chip Page 76 of 86
77 Deterministic Routing Deterministic algorithms always choose the same path between two nodes Advantages Simple and inexpensive to implement Usual deterministic routing is minimal, which leads to short path length Packets arrive in order Disadvantage Lack of path diversity can create large load imbalances Sharif University of Technology SoC: Network On Chip Page 77 of 86
78 Dimension-Order Routing in Tori and Meshes Also called e-cube routing Digits of destination address are used to route the packet through the network Since a torus can be traversed in clockwise or counterclockwise direction, the preferred direction in each dimension have to be calculated first The packet is the routed along these directions { +x, -x, +y, -y } until it reaches its destination Advantages Simple Router (no tables, simple logic) Power efficient communication No deadlock scenario Sharif University of Technology SoC: Network On Chip Page 78 of 86
79 Oblivious Routing Oblivious algorithms always choose a route without knowing about the state of the networks state All random algorithms are oblivious algorithms All deterministic algorithms are oblivious algorithms Sharif University of Technology SoC: Network On Chip Page 79 of 86
80 Adaptive Routing Adaptive algorithms use information about the state of the network to make routing decisions Length of queues Historical channel load Typically a node has only local information such as information on the load of the connected links Two types: Fully adaptive Partially adaptive Sharif University of Technology SoC: Network On Chip Page 80 of 86
81 Fully Adaptive Routing Fully-Adaptive Routing does not restrict packets to take the shortest path This can help to avoid congested areas Fully-Adaptive Routing may result in deadlock Mechanisms must be added to prevent deadlock Sharif University of Technology SoC: Network On Chip Page 81 of 86
82 Simulation Issues Stochastic traffic generators Ease of implementation/simulation Fast simulation Self-similar traffic used by some Trace-Based Simulation Need for extensive pre-simulation Long simulations (days-weeks) Accurate results Sharif University of Technology SoC: Network On Chip 82 of 86
83 Traffic Pattern Categories of traffic within a system: 1. Latency Critical : with stringent latency demands such as for critical interrupts, memory access, etc. These often have low payload 2. Data Streams : Have high payload and demand QoS in terms of bandwidth Most often it is large, mostly fixed bandwidth, which may be jitter critical Ex. : MPEG data, DMA access, etc 3. Miscellaneous : with no specific requirements of commitment from the network Sharif University of Technology SoC: Network On Chip Page 83 of 86
84 Applications Main NoC feature: high communication bandwidth Desirable feature for MP-SoC: low communication latency The twos are often contrasting requirements: Bandwidth problems can be cured with money. Latency problems are harder because the speed of light is fixed you can t bribe God. Anonymous Desperately seeking benchmarks and killer applications Multimedia? Sharif University of Technology SoC: Network On Chip 84 of 86
85 What is New? Amazing application of network ideas to the chip context But ideas need to be re-contextualized Old constraints Latency, bandwidth New constraints are very tight Area, Power, Clocks Differences of fine-grain NoC with large-grain Networks Today links are 100% reliable. Might become false for ultra-scaled technologies and globally asynchronous NoC For many applications, lowest latency is more important than highest bandwidth Sharif University of Technology SoC: Network SoC: On Network Chip On Chip 85 of 86
86 Summary In SoC : Interconnect dominates delay and power Design challenges for future SoC design Wiring delay Synchronization Noise Power dissipation On chip communication with a network is very simple and reliable NoC architecture has a great effect on delay and power of SoC interconnection Routing algorithm, switching mechanism, topology and traffic pattern affect both power and delay of an NoC Sharif University of Technology SoC: Network On Chip Page 86 of 86
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