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平成29年度 後期 月曜 第3時限(13:00-14:30) 吉永 努(UEC)

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Presentation on theme: "平成29年度 後期 月曜 第3時限(13:00-14:30) 吉永 努(UEC)"— Presentation transcript:

1 平成29年度 後期 月曜 第3時限(13:00-14:30) 吉永 努(UEC) yosinaga@is.uec.ac.jp
計算機ネットワーク特論 平成29年度 後期 月曜 第3時限(13:00-14:30) 吉永 努(UEC) IN 29

2 内 容 分散・並列処理計算機における相互結合ネットワークとその上でのメッセージ・ルーティング技法などについて学ぶ
資料  appendix_f.pdf (P.118, 2MB) TA: IN 29

3 References T. M. Pinkston and J. Duato: Interconnection Networks, Appendix E in Computer Architecture: A Quantitative Approach, 4th Edition, Morgan Kaufmann publishers (2006). 5th Edition, Morgan Kaufmann publishers (2011). J. Duato, S. Yalamanchili, L. Ni: Interconnection Networks - an Engineering Approach-, 第2版, Morgan Kaufmann publishers (2003) 富田眞治: 並列コンピュータ、昭晃堂(1996) W.D. Dally, B. Towles: Principles and Practices of Interconnection Networks, Morgan Kaufmann publishers (2003) IN 29

4 What is an interconnection Network?
It is a programmable system that transports data between terminals, such as processors and memory. It is programmable in the sense that it makes different connections at different points. It is a system because it is composed of many components: buffers, channels, switches, and controls that works together to deliver data. IN 29

5 Interconnection Network (1/2)
P P P M M M Multicomputer IN 29

6 Interconnection Network (2/2)
P P P Interconnection Network M M M UMA type shared memory multiprocessor It is also called dance-hall architecture. IN 29

7 Trend Its performance is increasing with processor performance at a rate of 50% per year. Communication is a limiting factor in the performance of many modern systems. Buses have been unable to keep up with the bandwidth demand, and point-to-point interconnection networks are rapidly taking over. IN 29

8 Computer Classifications (%)
2017/06 2016/06 2015/06 MPP 13.6 13.8 13.2 Cluster 86.4 86.2 86.8 Others 0.0 share of the TOP500 June, 2017 – June, 2015 IN 29

9 Infiniband QDR (40Gbps) ×2
Examples of clusters Processors Accelerator Interconnect Tianhe-2 (天河2号)China 2013 Intel Xeon E C 2.2 GHz×2 ×16K Xeon Phi 31S1P (57 cores)×3 ×16K TH Express-2 (proprietary) Fat tree Tsubame 2.5 Tokyo Tech. Xeon X5670 2.93GHz×2 ×1,408 NVIDIA Kepler K20x ×3×1,048 Infiniband QDR (40Gbps) ×2 IN 29

10 5-level hierarchical Sunway interconnect
Examples of MPPs Node Topology #core Rmax K computer @RIKEN Fujitsu 2011 SPARC64 VIIIfx 2 GHz (16 GFlops× 8-core) 6D mesh/ 3D torus Tofu interconnect 80K-node x 8-core = 640K-core 10.51 PFlops 7,890 KW Sunway TaihuLight 2016 SW26010 1.45 GHz (11.6 GFlops× 260-core) 5-level hierarchical Sunway interconnect 40,960 nodes 125.4 PFlops 15,371 KW IN 29

11 Other Networks of Supercomputers
Cray X50 (2016): dragonfly, Aries interconnect Titan/Cray XK7 (2012): 3D torus, proprietary Gemini interconnect Sequoia/BG Q (2011): 5D torus, proprietary IBM SeaStar Pleiades / NASA (2011): partial 11D hypercube topology with IB QDR/DDR Fujitsu PRIMERGY CX1640 (2016): Fat-Tree, Intel Omni-Path Earth Simulator2 / NEC SX-9E (2009): Fat-Tree (64GB/s/cpu, 8-CPU/node, 160 nodes) IN 29

12 Architecture vs. software
memory programming UMA (SMP) shared OpenMP NUMA (MPP) distributed (not shared) MPI (Message Passing Interface) IN 29

13 Network Design (1/3) Performance: latency and throughput (bandwidth)
Scalability: #processors vs. network, memory, I/O bandwidth Incremental expandability: small to maximum size Partitionability: netwrok may be partitioned for several users IN 29

14 Network Design (2/3) Simplicity: simple design, higher clock frequency, easy to use Distance span: smaller system is preferred for noise and cable delay, etc. Physical constraints: packaging (pin count), wiring(wire length), and maintenance (power consumption) should meet physical limitation. IN 29

15 Network Design (3/3) Reliability: fault tolerant, reliable communication, hot swap Expected workload: robust performance over a wade range of traffic conditions. Cost: trade-offs between cost and performance. IN 29

16 Classifiction of Interconnection Networks
Shared-Medium Networks Local area networks (ethernet, token ring) Backplane bus (e.g. SUN Gigaplane) Direct Networks (router-based) mesh, torus, hypercube, tree, … etc. Indirect Networks (switch-based) Hybrid Networks IN 29

17 Shared-Medium Networks (LAN)
Arbitration that determines the mastership of the shared-medium network to resolve network access is needed. The most well-known protocol is carrier-sense multiple access with collision detection (CSMA/CD). Token bus and token ring pass a token from the owner which has the right to access the bus/ring and resolve nondeterministic waiting time. IN 29

18 Shared-Medium Networks (Backplane bus)
It is commonly used to interconnect processor(s) and memory modules to provide SMP (Symmetrical Memory Processor) architecture. It is realized by printed lines on a circuit board by discrete wiring. Gigaplane in SUN Enterprise x000 server(1996): 2.6GB/s, 256 bits data, 42 bits address, 83.8MHz clock. IN 29

19 Direct (static) Networks
Consists of a set of nodes. Each node is directly connected to a subset of other nodes in the network. Examples: 2D mesh (intel Paragon), 3D mesh (MIT J-Mahine) 2D torus (Fujitsu AP3000), 3D torus (Cray T3D, T3E) Hypercube (CM1, CM2, nCUBE) IN 29

20 Mesh topology node 2D 3D IN 29

21 Torus topology 2D (4-ary 2-cube) 3D (3-ary 3-cube) IN 29

22 Hypercube (binary n-cube)
4D (2-ary 4-cube) IN 29

23 tree x tree Binary tree fat tree IN 29

24 Hierarchical topology (1/2)
Pyramid (Hierarchical 2D mesh) Hierarchical ring IN 29

25 Hierarchical topology (2/2)
Cube-connected cycles RDT (Recursive Diagonal Torus) IN 29

26 Hypermesh (spaninng-bus hypercube)
Single or multiple buses IN 29

27 Base-m n-cube (hyper-crossbar)
770 777 070 077 707 000 007 8x8 crossbar Base-8 3-cube (Toshiba Prodigy) IN 29

28 Diameter and degrees (1/2)
2D mesh 2D torus 3D torus binary n-cube #node N N = 2n Diameter 2√N √N log N degree IN 29

29 Diameter and degrees (2/2)
Base-m n-cube CCC Binary tree ring #node N = mn N = n2n Diameter logm N 3n/2 2log N N/2 degree 3 2 IN 29


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