135:, whose basic objects run in parallel, each on their own processor. Likewise, large data objects may be broken up and distributed into local memories with parallel access. Objects communicate over a parallel structure of dedicated channels. The objective is to maximize aggregate throughput while minimizing local latency, optimizing performance and efficiency. An MPPA's
511:
Michael
Bedford Taylor, Jason Kim, Jason Miller, David Wentzlaff, Fae Ghodrat, Ben Greenwald, Henry Hoffmann, Paul Johnson, Walter Lee, Arvind Saraf, Nathan Shnidman, Volker Strumpen, Saman Amarasinghe, and Anant Agarwal, "A 16-issue multiple-program-counter microprocessor with point-to-point scalar
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Meeuwsen, Ryan Apperson, Omar Sattari, Michael Lai, Jeremy Webb, Eric Work, Tinoosh Mohsenin, Mandeep Singh, and Bevan Baas. "An asynchronous array of simple processors for DSP applications." In IEEE International Solid-State Circuits Conference,(ISSCC’06), vol. 49, pp. 428-429.
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Ou, Peng, Jiajie Zhang, Heng Quan, Yi Li, Maofei He, Zheng Yu, Xueqiu Yu et al. "A 65nm 39GOPS/W 24-core processor with 11 Tb/s/W packet-controlled circuit-switched double-layer network-on-chip and heterogeneous execution array." In Solid-State
Circuits Conference Digest of Technical Papers
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Yu, Zhiyi, Kaidi You, Ruijin Xiao, Heng Quan, Peng Ou, Yan Ying, Haofan Yang, and
Xiaoyang Zeng. "An 800MHz 320mW 16-core processor with message-passing and shared-memory inter-core communication mechanisms." In Solid-State Circuits Conference Digest of Technical Papers (ISSCC), 2012 IEEE
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Truong, Dean, Wayne Cheng, Tinoosh
Mohsenin, Zhiyi Yu, Toney Jacobson, Gouri Landge, Michael Meeuwsen et al. "A 167-processor 65 nm computational platform with per-processor dynamic supply voltage and dynamic clock frequency scaling." In Symposium on VLSI Circuits, pp. 22-23.
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Shaw, David E.; Adams, Peter J.; Azaria, Asaph; Bank, Joseph A.; Batson, Brannon; Bell, Alistair; Bergdorf, Michael; Bhatt, Jhanvi; Butts, J. Adam; Correia, Timothy; Dirks, Robert M.; Dror, Ron O.; Eastwood, Michael P.; Edwards, Bruce; Even, Amos (2021-11-14). "Anton 3".
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Adams, Peter J.; Batson, Brannon; Bell, Alistair; Bhatt, Jhanvi; Butts, J. Adam; Correia, Timothy; Edwards, Bruce; Feldmann, Peter; Fenton, Christopher H.; Forte, Anthony; Gagliardo, Joseph; Gill, Gennette; Gorlatova, Maria; Greskamp, Brian; Grossman, J.P. (2021-08-22).
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Vangal, Sriram R., Jason Howard, Gregory Ruhl, Saurabh Dighe, Howard Wilson, James
Tschanz, David Finan et al. "An 80-tile sub-100-w teraflops processor in 65-nm cmos." Solid-State Circuits, IEEE Journal of 43, no. 1 (2008):
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accessed locally, not shared globally. Each processor is strictly encapsulated, accessing only its own code and memory. Point-to-point communication between processors is directly realized in the configurable interconnect.
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simulations, contain arrays of 576 processors arranged in a 12×24 tiled grid of pairs of cores; a routed network links these tiles together and extends off-chip to other nodes in a full system.
63:. By harnessing a large number of processors working in parallel, an MPPA chip can accomplish more demanding tasks than conventional chips. MPPAs are based on a software parallel
372:
Mike Butts, "Multicore and
Massively Parallel Platforms and Moore's Law Scalability", Proceedings of the Embedded Systems Conference - Silicon Valley, April 2008
409:
Laurent
Bonetto, "Massively parallel processing arrays (MPPAs) for embedded HD video and imaging (Part 2)", Video/Imaging DesignLine, July 18, 2008
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Laurent
Bonetto, "Massively parallel processing arrays (MPPAs) for embedded HD video and imaging (Part 1)", Video/Imaging DesignLine, May 16, 2008
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Mike Butts, "Synchronization through
Communication in a Massively Parallel Processor Array", IEEE Micro, vol. 27, no. 5, September/October 2007,
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Paul Chen, "Multimode sensor processing using Massively Parallel Processor Arrays (MPPAs)", Programmable Logic DesignLine, March 18, 2008
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Mike Butts, Brad Budlong, Paul Wasson, Ed White, "Reconfigurable Work Farms on a Massively Parallel Processor Array", Proceedings of
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Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis
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operand network," Proceedings of the IEEE International Solid-State Circuits Conference, February 2003
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The MPPA's massive parallelism and its distributed memory MIMD architecture distinguishes it from
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architecture, mainly intended for general-purpose computing. It's also distinguished from
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and other compute-intensive streaming media applications, which otherwise would use
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due to all 4096 of the 3,000 gate cores having its own Content-Addressable Memory.
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651:"The ΛNTON 3 ASIC: A Fire-Breathing Monster for Molecular Dynamics Simulations"
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446:"Artificial Neural Network on a Massively Parallel Associative Architecture"
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Fabricated MPPAs developed in universities include: 36-core and 167-core
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supercomputer, which is as of 2016 the world's fastest supercomputer.
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An MPPA application is developed by expressing it as a hierarchical
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Array rather than an MPPA. Strictly speaking it could qualify as
83:(Multiple Instruction streams, Multiple Data) architecture, with
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573:"The Sunway TaihuLight Supercomputer: System and Applications"
571:
Fu, Haohuan; Liao, Junfeng; Yang, Jinzhe; et al. (2016).
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memories. These processors pass work to one another through a
532:(ISSCC), 2013 IEEE International, pp. 56-57. IEEE, 2013.
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MPPAs developed in companies include ones designed at:
411:http://www.eetimes.com/document.asp?doc_id=1273830
399:http://www.eetimes.com/document.asp?doc_id=1273823
99:architectures, which have fewer processors and an
259:Linedancer differs in that it was a Massive wide
272:Asynchronous Array of Simple Processors (AsAP)
8:
481:https://core.ac.uk/download/pdf/25268094.pdf
657:. Palo Alto, CA, USA: IEEE. pp. 1–22.
423:http://www.pldesignline.com/howto/206904379
609:. St. Louis Missouri: ACM. pp. 1–11.
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544:"Report on the Sunway TaihuLight System"
450:International Neural Network Conference
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332:Asynchronous array of simple processors
655:2021 IEEE Hot Chips 33 Symposium (HCS)
282:, and 16-core and 24-core arrays from
522:International, pp. 64-66. IEEE, 2012.
293:project developed their own 260-core
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155:MPPAs are used in high-performance
145:communicating sequential processes
47:array of hundreds or thousands of
29:massively parallel processor array
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18:Massively Parallel Processor Array
542:Dongarra, Jack (June 20, 2016).
304:Anton 3 processors, designed by
67:for developing high-performance
276:University of California, Davis
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663:10.1109/HCS52781.2021.9567084
33:multi purpose processor array
458:10.1007/978-94-009-0643-3_39
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590:10.1007/s11432-016-5588-7
115:architectures, used for
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297:manycore chip for the
189:software-defined radio
171:applications, such as
444:Krikelis, A. (1990).
387:IEEE Computer Society
362:IEEE Computer Society
161:hardware acceleration
141:Kahn process network
137:model of computation
701:Manycore processors
577:Sci. China Inf. Sci
306:D. E. Shaw Research
278:, 16-core RAW from
706:Parallel computing
310:molecular dynamics
185:network processing
85:distributed memory
45:massively parallel
41:integrated circuit
31:, also known as a
672:978-1-6654-1397-8
626:978-1-4503-8442-1
467:978-0-7923-0831-7
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229:GreenArrays
123:Programming
695:Categories
348:References
299:TaihuLight
225:IntellaSys
79:MPPA is a
681:239039245
635:239036976
103:or other
93:multicore
556:June 20,
322:Manycore
316:See also
253:Adapteva
217:PicoChip
207:Examples
133:workflow
97:manycore
61:channels
337:SW26010
295:SW26010
203:chips.
199:and/or
147:(CSP).
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434:29-41.
291:Sunway
251:, and
249:Tabula
241:Kalray
237:Tilera
213:Ambric
169:server
109:GPGPUs
677:S2CID
631:S2CID
583:(7).
547:(PDF)
233:ASOCS
221:Intel
111:with
667:ISBN
621:ISBN
558:2016
502:2008
492:2006
462:ISBN
383:FCCM
308:for
265:SIMT
261:SIMD
201:ASIC
193:FPGA
167:and
159:and
113:SIMD
95:and
81:MIMD
51:and
49:CPUs
37:MPPA
659:doi
611:doi
585:doi
454:doi
280:MIT
197:DSP
163:of
143:or
131:or
117:HPC
101:SMP
53:RAM
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