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Erschienen in:
The Evolution of Optical Transport Networks Kapitel lesen Erstes Kapitel lesen

2020 | OriginalPaper | Buchkapitel

22. Evolving Requirements and Trends of HPC

verfasst von : Sébastien Rumley, Keren Bergman, M. Ashkan Seyedi, Marco Fiorentino

Erschienen in: Springer Handbook of Optical Networks

Verlag: Springer International Publishing

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Zusammenfassung

High-performance computing (HPC) denotes the design, build or use of computing systems substantially larger than typical desktop or laptop computers, in order to solve problems that are unsolvable on these traditional machines. Today's largest high-performance computers, a.k.a. supercomputers, are all organized around several thousands of compute nodes, which are collectively leveraged to tackle heavy computational problems. This orchestrated operation is only possible if compute nodes are able to communicate among themselves with low latency and high bandwidth.
In 2004 the ASCI Purple supercomputer was the first to implement optical technologies in the interconnects that support these internode communications. However, research on optical interconnects for HPC applications dates back to the early 1990s. Historically, HPC has been a large driver for the development of short-distance optical links, such as the ones found in today's datacenters (as described elsewhere in this volume). As the number of research areas and industries that exploit HPC is growing, the need for improved HPC interconnection networks is expected to persist.
In this chapter we review the requirements of current HPC systems for optical communication networks and we forecast future requirements on the basis of discernible HPC trends.

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Vorheriges Kapitel Evolving Requirements and Trends of Datacenters Networks
Nächstes Kapitel Intra-Datacenter Network Architectures
Literatur
J.S. Dietrich: Cosmic cubism, Eng. Sci. 47(4), 17–20 (1984)
J. Gao, H. Cheng, H.C. Wu, G. Liu, E. Lau, L. Yuan, C. Krause: Thunderbolt Interconnect - Optical and copper, J. Lightwave Technol. 35(15), 3125–3129 (2017)CrossRef
T. Mikolov, K. Chen, G. Corrado, J. Dean: Efficient estimation of word representations in vector space, arXiv:1301.3781 [cs.CL] (2013)
D.A. Reed, J. Dongarra: Exascale computing and big data, Commun. ACM 58(7), 56–68 (2015)CrossRef
J.S. Vetter: Contemporary high performance computing. In: Contemporary High Performance Computing: From Petascale Toward Exascale (Chapman & Hall, CRC, New York 2013)
N.R. Adiga, G. Almasi, G.S. Almasi, Y. Aridor, R. Barik, D. Beece, R. Bellofatto, G. Bhanot, R. Bickford, M. Blumrich, A.A. Bright, J. Brunheroto, C. Cascaval, J. Castanos, W. Chan, L. Ceze, P. Coteus, S. Chatterjee, D. Chen, G. Chiu, T.M. Cipolla, P. Crumley, K.M. Desai, A. Deutsch, T. Domany, M.B. Dombrowa, W. Donath, M. Eleftheriou, C. Erway, J. Esch, B. Fitch, J. Gagliano, A. Gara, R. Garg, R. Germain, M.E. Giampapa, B. Gopalsamy, J. Gunnels, M. Gupta, F. Gustavson, S. Hall, R.A. Haring, D. Heidel, P. Heidelberger, L.M. Herger, D. Hoenicke, R.D. Jackson, T. Jamal-Eddine, G.V. Kopcsay, E. Krevat, M.P. Kurhekar, A.P. Lanzetta, D. Lieber, L.K. Liu, M. Lu, M. Mendell, A. Misra, Y. Moatti, L. Mok, J.E. Moreira, B.J. Nathanson, M. Newton, M. Ohmacht, A. Oliner, V. Pandit, R.B. Pudota, R. Rand, R. Regan, B. Rubin, A. Ruehli, S. Rus, R.K. Sahoo, A. Sanomiya, E. Schenfeld, M. Sharma, E. Shmueli, S. Singh, P. Song, V. Srinivasan, B.D. Steinmacher-Burow, K. Strauss, C. Surovic, R. Swetz, T. Takken, R.B. Tremaine, M. Tsao, A.R. Umamaheshwaran, P. Verma, P. Vranas, T.J.C. Ward, M. Wazlowski, W. Barrett, C. Engel, B. Drehmel, B. Hilgart, D. Hill, F. Kasemkhani, D. Krolak, C.T. Li, T. Liebsch, J. Marcella, A. Muff, A. Okomo, M. Rouse, A. Schram, M. Tubbs, G. Ulsh, C. Wait, J. Wittrup, M. Bae, K. Dockser, L. Kissel, M.K. Seager, J.S. Vetter, K. Yates: An Overview of the BlueGene/L supercomputer. In: Proc. ACM Conf. Supercomput. (2002)
J. Dongarra: Report on the Sunway TaihuLight System, Univ. Tennessee Comput. Sci. Rep. UT-EECS-16-742 (2016)
S. Rumley, D. Nikolova, R. Hendry, Q. Li, D. Calhoun, K. Bergman: Silicon photonics for exascale systems, J. Lightwave Technol. 33(3), 547–562 (2015)CrossRef
R.C. Murphy, K.B. Wheeler, B.W. Barrett, J.A. Ang: Introducing the graph 500. In: Proc. CUG (2010)
E. Joseph, S. Conway: Major Trends in the Worldwide HPC Market (IDC, Framingham 2017)
S. Rumley, M. Bahadori, R. Polster, S.D. Hammond, D.M. Calhoun, K. Wen, A. Rodrigues, K. Bergman: Optical interconnects for extreme scale computing systems, Parallel Comput. 64(Suppl. C), 65–80 (2017)MathSciNetCrossRef
J.E. Thornton: The CDC 6600 project, Ann. Hist. Comput. 2(4), 338–348 (1980)CrossRef
A. Aiken, U. Banerjee, A. Kejariwal, A. Nicolau: Overview of ILP architectures. In: Instruction Level Parallelism (Springer, New York 2016) pp. 9–42MATHCrossRef
J.S. Vetter, B.R. de Supinski, L. Kissel, J. May, S. Vaidya: Evaluating high-performance computers, Concurr. Comput. 17(10), 1239–1270 (2005)CrossRef
R. Espasa, M. Valero, J.E. Smith: Vector architectures: Past, present and future. In: Proc. Int. Conf. Supercomp. (1998) pp. 425–432
A.H. Karp, M. Heath, D. Heller, H. Simon: 1994 Gordon Bell Prize winners, Computer 28(1), 68–74 (1995)CrossRef
R.H. Dennard, F.H. Gaensslen, V.L. Rideout, E. Bassous, A.R. LeBlanc: Design of ion-implanted MOSFET's with very small physical dimensions, IEEE J. Solid-State Circuits 9(5), 256–268 (1974)CrossRef
M.M. Waldrop: The chips are down for Moores law, Nature 530, 144–147 (2016)CrossRef
N. Loubet, T. Hook, P. Montanini, C.W. Yeung, S. Kanakasabapathy, M. Guillom, T. Yamashita, J. Zhang, X. Miao, J. Wang, A. Young, R. Chao, M. Kang, Z. Liu, S. Fan, B. Hamieh, S. Sieg, Y. Mignot, W. Xu, S.C. Seo, J. Yoo, S. Mochizuki, M. Sankarapandian, O. Kwon, A. Carr, A. Greene, Y. Park, J. Frougier, R. Galatage, R. Bao, J. Shearer, R. Conti, H. Song, D. Lee, D. Kong, Y. Xu, A. Arceo, Z. Bi, P. Xu, R. Muthinti, J. Li, R. Wong, D. Brown, P. Oldiges, R. Robison, J. Arnold, N. Felix, S. Skordas, J. Gaudiello, T. Standaert, H. Jagannathan, D. Corliss, M.H. Na, A. Knorr, T. Wu, D. Gupta, S. Lian, R. Divakaruni, T. Gow, C. Labelle, S. Lee, V. Paruchuri, H. Bu, M. Khare: Stacked nanosheet gate-all-around transistor to enable scaling beyond FinFET. In: Symp. VLSI Technol. (2017) pp. T230–T231
D. Foley, J. Danskin: Ultra-performance Pascal GPU and NVlink interconnect, IEEE Micro 37(2), 7–17 (2017)CrossRef
S. Derradji, T. Palfer-Sollier, J.P. Panziera, A. Poudes, F.W. Atos: The BXI interconnect architecture. In: IEEE 23rd Proc. Ann. Symp. High Perform. Interconnects (2015) pp. 18–25
D. Chen, N.A. Eisley, P. Heidelberger, R.M. Senger, Y. Sugawara, S. Kumar, V. Salapura, D.L. Satterfield, B. Steinmacher-Burow, J.J. Parker: The IBM Blue Gene/Q interconnection network and message unit. In: Proc. Int. Conf. High Perform. Comput. Netw. Storage Anal. (2011), Art. 26
S. Scott, D. Abts, J. Kim, W.J. Dally: The BlackWidow high-radix Clos network, ACM SIGARCH Comput. Archit. News 34(2), 16–28 (2006)CrossRef
G. Faanes, A. Bataineh, D. Roweth, T. Court, E. Froese, B. Alverson, T. Johnson, J. Kopnick, M. Higgins, J. Reinhard: Cray Cascade: A scalable HPC system based on a Dragonfly network. In: Proc. Int. Conf. High Perform. Comput. Netw. Storage Anal. (2012), Art. 103
S.H. Russ: Differential signaling. In: Signal Integrity: Applied Electromagnetics and Professional Practice (Springer, Berlin 2016) pp. 101–109CrossRef
M. Besta, T. Hoefler: Slim Fly: A cost effective low-diameter network topology. In: Proc. Int. Conf. High Perform. Comput. Netw. Storage Anal. (2014) pp. 348–359
C.A. Thraskias, E.N. Lallas, N. Neumann, L. Schares, B.J. Offrein, R. Henker, D. Plettemeier, F. Ellinger, J. Leuthold, I. Tomkos: Survey of photonic and plasmonic interconnect technologies for intra-datacenter and high-performance computing communications, IEEE Commun. Surv. Tutor. 20(4), 2758–2783 (2018)CrossRef
V. Marjanović, J. Gracia, C.W. Glass: Performance modeling of the HPCG benchmark. In: High Performance Computing Systems. Performance Modeling, Benchmarking, and Simulation. PMBS 2014, Lecture Notes in Computer Science, Vol. 8966, ed. by S. Jarvis, S. Wright, S. Hammond (Springer, Cham 2015) pp. 172–192
G. Michelogiannakis, K.Z. Ibrahim, J. Shalf, J.J. Wilke, S. Knight, J.P. Kenny: APHiD: Hierarchical task placement to enable a tapered fat tree topology for lower power and cost in HPC networks. In: 7th IEEE/ACM Int. Symp. Cluster Cloud Grid Comput. (2017) pp. 228–237
S. Lammel, F. Zahn, H. Fröning: SONAR: Automated communication characterization for HPC applications. In: High Performance Computing. ISC High Performance 2016, Lecture Notes in Computer Science, Vol. 9945, ed. by M. Taufer, B. Mohr, J. Kunkel (Springer, Cham 2016) pp. 98–114
J. Dean, L.A. Barroso: The tail at scale, Commun. ACM 56(2), 74–80 (2013)CrossRef
N. Jain, A. Bhatele, S. White, T. Gamblin, L.V. Kale: Evaluating HPC networks via simulation of parallel workloads. In: Proc. Int. Conf. High Perform. Comput. Netw. Storage Anal. (2016) pp. 154–165
N. Jain, A. Bhatele, L.H. Howell, D. Böhme, I. Karlin, E.A. León, M. Mubarak, N. Wolfe, T. Gamblin, M.L. Leininger: Predicting the performance impact of different fat-tree configurations. In: Proc. Int. Conf. High Perform. Comput. Netw. Storage Anal. (2017), Art. 50
G. Kathareios, C. Minkenberg, B. Prisacari, G. Rodriguez, T. Hoefler: Cost-effective diameter-two topologies: Analysis and evaluation. In: Proc. Int. Conf. High Perform. Comput. Netw. Storage Anal. (2017), Art. 36
Y. Ajima, Y. Takagi, T. Inoue, S. Hiramoto, T. Shimizu: The tofu interconnect. In: IEEE 19th Ann. Symp. High Perform. Interconnects (2011) pp. 87–94
J. Kim, W.J. Dally, D. Abts: Flattened butterfly: A cost-efficient topology for high-radix networks, ACM SIGARCH Comput. Archit. News 35(2), 126–137 (2007)CrossRef
J.H. Ahn, N. Binkert, A. Davis, M. McLaren, R.S. Schreiber: HyperX: Topology, routing, and packaging of efficient large-scale networks. In: Proc. Int. Conf. High Perform. Comput. Netw. Storage Anal. (2009), Art. 41
S. Rumley, M. Glick, S.D. Hammond, A. Rodrigues, K. Bergman: Design methodology for optimizing optical interconnection networks in high performance systems. In: High Performance Computing. ISC High Performance 2015, Lecture Notes in Computer Science, Vol. 9137, ed. by J. Kunkel, T. Ludwig (Springer, Cham 2015) pp. 454–471
J. Kim, W.J. Dally, S. Scott, D. Abts: Technology-driven, highly-scalable dragonfly topology, ACM SIGARCH Comput. Archit. News 36(3), 77–88 (2008)CrossRef
B. Alverson, E. Froese, L. Kaplan, D. Roweth: Cray XC series network, WP-Aries01-1112 (2012)
M.Y. Teh, J.J. Wilke, K. Bergman, S. Rumley: Design space exploration of the dragonfly topology. In: High Performance Computing. ISC High Performance 2017, Lecture Notes in Computer Science, Vol. 10524, ed. by J. Kunkel, R. Yokota, M. Taufer, J. Shalf (Springer, Cham 2017) pp. 57–74
P. Gevros, J. Crowcroft, P. Kirstein, S. Bhatti: Congestion control mechanisms and the best effort service model, IEEE Netw. 15(3), 16–26 (2001)CrossRef
V. Jacobson: Congestion avoidance and control, SIGCOMM Comput. Commun. Rev. 18(4), 314–329 (1988)CrossRef
P. Grun: Introduction to InfiniBand for End Users (InfiniBand Trade, Beaverton 2010)
A. Falk, T. Faber, J. Bannister, A. Chien, R. Grossman, J. Leigh: Transport protocols for high performance, Commun. ACM 46(11), 42–49 (2003)CrossRef
W. Dally, B. Towles: Principles and Practices of Interconnection Networks (Morgan Kaufmann, New York 2003)
T.M. Pinkston, J. Duato: Appendix F: Interconnection networks. In: Computer Architecture: A Quantitative Approach, 5th edn., ed. by J.L. Hennessy, D.A. Patterson (Morgan Kaufmann, Waltham 2011)
S.L. Scott, G.M. Thorson: The cray t3e network: Adaptive routing in a high performance 3d torus. In: Proc. Symp. HOT Interconnects IV (1996) pp. 147–156
A. Singh, W.J. Dally, A.K. Gupta, B. Towles: GOAL: A load-balanced adaptive routing algorithm for torus networks. In: Proc. 30th Ann. Int. Symp. Comput. Archit. (2003) pp. 194–205
J. Kim, W.J. Dally, D. Abts: Adaptive routing in high-radix clos network. In: Proc. ACM/IEEE Conf. Supercomput. (2006), Art. 92
N. Jiang, J. Kim, W.J. Dally: Indirect adaptive routing on large scale interconnection networks, ACM SIGARCH Comput. Archit. News 37(3), 220–231 (2009)CrossRef
R. Alverson, D. Roweth, L. Kaplan: The Gemini system interconnect. In: IEEE 18th Symp. High Perform. Interconnects (2010) pp. 83–87
P. Faizian, M.A. Mollah, Z. Tong, X. Yuan, M. Lang: A comparative study of SDN and adaptive routing on dragonfly networks. In: Proc. Int. Conf. High Perform. Comput. Netw. Storage Anal. (2017), Art. 51
S. Benjamin, K. Hasharoni, A. Maman, S. Stepanov, M. Mesh, H. Luesebrink, R. Steffek, W. Pleyer, C. Stömmer: 336-Channel electro-optical interconnect: Underfill process improvement, fiber bundle and reliability results. In: IEEE 64th Electron. Compon. Technol. Conf. (2014) pp. 1021–1027
T. Saeki, S. Sato, M. Kurokawa, A. Moto, M. Suzuki, K. Tanaka, K. Tanaka, N. Ikoma, Y. Fujimura: 100 Gbit/s compact transmitter module integrated with optical multiplexer. In: IEEE Photonics Conf. (2013) pp. 307–308
M.R.T. Tan, P. Rosenberg, W.V. Sorin, B. Wang, S. Mathai, G. Panotopoulos, G. Rankin: Universal photonic interconnect for data centers, J. Lightwave Technol. 36(2), 175–180 (2018)CrossRef
L. Carroll, J.-S. Lee, C. Scarcella, K. Gradkowski, M. Duperron, H. Lu, Y. Zhao, C. Eason, P. Morrissey, M. Rensing, S. Collins, H.Y. Hwang, P. O’Brien: Photonic packaging: Transforming silicon photonic integrated circuits into photonic devices, Appl. Sci. 6(12), 426 (2016)CrossRef
N. Kohmu, T. Takai, N. Chujo, H. Arimoto: A 25.78-Gbit/s × 4-ch active optical cable with ultra-compact form factor for high-density optical interconnects, Appl. Sci. 8(1), 137 (2018)CrossRef
Y. Arakawa, T. Nakamura, Y. Urino, T. Fujita: Silicon photonics for next generation system integration platform, IEEE Commun. Mag. 51(3), 72–77 (2013)CrossRef
P. Dumon: Towards foundry approach for silicon photonics: Silicon photonics platform ePIXfab, Electron. Lett. 45(1), 581–582 (2009)CrossRef
L. Liao, A. Liu, D. Rubin, J. Basak, Y. Chetrit, H. Nguyen, R. Cohen, N. Izhaky, M. Paniccia: 40 Gbit/s silicon optical modulator for highspeed applications, Electron. Lett. 43(22), 1196 (2007)CrossRef
Y. Tang, H.-W. Chen, S. Jain, J.D. Peters, U. Westergren, J.E. Bowers: 50 Gb/s hybrid silicon traveling-wave electroabsorption modulator, Opt. Express 19(7), 5811–5816 (2011)CrossRef
Q. Xu, B. Schmidt, S. Pradhan, M. Lipson: Micrometre-scale silicon electro-optic modulator, Nature 435(7040), 325–327 (2005)CrossRef
M. Bahadori, S. Rumley, D. Nikolova, K. Bergman: Comprehensive design space exploration of silicon photonic interconnects, J. Lightwave Technol. 34(12), 2975–2987 (2016)CrossRef
M. Bahadori, S. Rumley, R. Polster, A. Gazman, M. Traverso, M. Webster, K. Patel, K. Bergman: Energy-performance optimized design of silicon photonic interconnection networks for high-performance computing. In: Design Autom. Test Eur. Conf. Exhib. (2017) pp. 326–331
A.V. Krishnamoorthy, O. Torudbakken, S. Müller, A. Srinivasan, P. Decker, H. Opheim, J.E. Cunningham, X. Zheng, M. Dignum, K. Raj: From chip to cloud: Optical interconnects in engineered systems for the enterprise. In: IEEE Opt. Interconnects Conf. (2016) pp. 34–35
K. Padmaraju, D.F. Logan, T. Shiraishi, J.J. Ackert, A.P. Knights, K. Bergman: Wavelength locking and thermally stabilizing microring resonators using dithering signals, J. Lightwave Technol. 32(3), 505–512 (2014)CrossRef
M. Piels, J.E. Bowers: 40 GHz Si/Ge uni-traveling carrier waveguide photodiode, J. Lightwave Technol. 32(20), 3502–3508 (2014)CrossRef
M.L. Brongersma: Plasmonic photodetectors, photovoltaics, and hot-electron devices, Proc. IEEE Inst. Electr. Electron Eng. 104(12), 2349–2361 (2016)CrossRef
D.A.B. Miller: Attojoule optoelectronics for low-energy information processing and communications, J. Lightwave Technol. 35(3), 346–396 (2017)CrossRef
S.A. Maier: Plasmonics: Fundamentals and Applications (Springer, New York 2007)CrossRef
M.L. Brongersma, V.M. Shalaev: The case for plasmonics, Science 328(5977), 440–441 (2010)CrossRef
M. Ayata, Y. Fedoryshyn, W. Heni, B. Baeuerle, A. Josten, M. Zahner, U. Koch, Y. Salamin, C. Hoessbacher, C. Haffner, D.L. Elder, L.R. Dalton, J. Leuthold: High-speed plasmonic modulator in a single metal layer, Science 358(6363), 630–632 (2017)CrossRef
D. Dai, Y. Shi, S. He, L. Wosinski, L. Thylen: Gain enhancement in a hybrid plasmonic nano-waveguide with a low-index or high-index gain medium, Opt. Express 19(14), 12925–12936 (2011)CrossRef
S. Kamil, L. Oliker, A. Pinar, J. Shalf: Communication requirements and interconnect optimization for high-end scientific applications, IEEE Trans. Parallel Distrib. Syst. 21(2), 188–202 (2010)CrossRef
K. Wen, P. Samadi, S. Rumley, C.P. Chen, Y. Shen, M. Bahadroi, K. Bergman, J. Wilke: Flexfly: Enabling a reconfigurable dragonfly through silicon photonics. In: Proc. Int. Conf. High Perform. Comput. Netw. Storage Anal. (2016) pp. 166–177
Q. Cheng, S. Rumley, M. Bahadori, K. Bergman: Optical technologies for data centers: A review, Optica 5(11), 1354 (2018)CrossRef
I. Fujiwara, M. Koibuchi, T. Ozaki, H. Matsutani, H. Casanova: Augmenting low-latency HPC network with free-space optical links. In: IEEE 21st Int. Symp. High Perform. Comput. Archit. (2015) pp. 390–401
Y. Hu, I. Fujiwara, M. Koibuchi: Job mapping and scheduling on free-space optical networks, IEICE Trans. Inform. Syst. E99.D(11), 2694–2704 (2016)CrossRef
J.M. Kahn, D.A.B. Miller: Communications expands its space, Nat. Photonics 11(1), 5–8 (2017)CrossRef
Metadaten
Titel
Evolving Requirements and Trends of HPC
verfasst von
Sébastien Rumley
Keren Bergman
M. Ashkan Seyedi
Marco Fiorentino
Copyright-Jahr
2020
Verlag
Springer International Publishing
Buch
Springer Handbook of Optical Networks

Print ISBN: 978-3-030-16249-8

Electronic ISBN: 978-3-030-16250-4

Copyright-Jahr: 2020

DOI
https://doi.org/10.1007/978-3-030-16250-4_22

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