Article

BLOB computing

Authors:

Frédéric Gruau,

Yves Lhuillier,

Philippe Reitz,

Olivier TemamAuthors Info & Claims

CF '04: Proceedings of the 1st conference on Computing frontiers

Pages 125 - 139

https://doi.org/10.1145/977091.977111

Published: 14 April 2004 Publication History

Abstract

Current processor and multiprocessor architectures are almost all based on the Von Neumann paradigm. Based on this paradigm, one can build a general-purpose computer using very few transistors, e.g., 2250 transistors in the first Intel 4004 microprocessor. In other terms, the notion that on-chip space is a scarce resource is at the root of this paradigm which trades on-chip space for program execution time. Today, technology considerably relaxed this space constraint. Still, few research works question this paradigm as the most adequate basis for high-performance computers, even though the paradigm was not initially designed to scale with technology and space.In this article, we propose a different computing model, defining both an architecture and a language, that is intrinsically designed to exploit space; we then investigate the implementation issues of a computer based on this model, and we provide simulation results for small programs and a simplified architecture as a first proof of concept. Through this model, we also want to outline that revisiting some of the principles of today's computing paradigm has the potential of overcoming major limitations of current architectures.

References

[1]

H. Abelson, D. Allen, D. Coore, C. Hanson, G. Homsy, T. F. Knight, R. Nagpal, E. Rauch, G. J. Sussman, and R. Weiss. Amorphous computing. Communications of the ACM, 43(5):74--82, 2000.]]

Digital Library

[2]

L. Adleman. Molecular computation of solutions to combinatorial problems,. Science, 266, November 1994.]]

Digital Library

[3]

J-P. BANÂTRE and D. Le MÉTAYER. Gamma and the chemical reaction model : Ten years after. In J.-M. Andreoli, H. Gallaire, and D. Le Métayer, editors, Coordination Programming: Mechanisms, Models and Semantics, pages 1--39, 1996.]]

Digital Library

[4]

M. Baron. Microprocessor report. Tidbits, March 2001.]]

[5]

G. Berry and G. Gonthier. The Esterel synchronous programming language: Design, semantics, implementation. Science of Computer Programming, 19(2):87--152, 1992.]]

Digital Library

[6]

W. Blume, R. Eigenmann, K. Faigin, J. Grout, J. Hoeflinger, D. Padua, P. Petersen, W. Pottenger, L. Rauchwerger, P. Tu, and S. Weatherford. Parallel programming with Polaris. IEEE Computer, 29(12):78--82, December 1996.]]

Digital Library

[7]

F. Bodin, T. Kisuk, P. Knijnenburg, M. O'Boyle, and E. Rohou. Iterative compilation in a non-linear optimisation space. In Workshop on Profile and Feedback-Directed Compilation at PACT, 1998.]]

[8]

J. M.P. Cardoso and H. C. Neto. Fast hardware compilation of behaviors into an FPGA-based dynamic reconfigurable computing system. In Proc. of the XII Symposium on Integrated Circuits and Systems Design, pages 150--153. IEEE Computer Society Press, October 1999.]]

Digital Library

[9]

E. Caspi, M. Chu, R. Huang, J. Yeh, J. Wawrzynek, and A. DeHon. Stream computations organized for reconfigurable execution (SCORE). In FPL, pages 605--614, 2000.]]

Digital Library

[10]

L. Chen, S. Dropsho, and D. H. Albonesi. Dynamic data dependence tracking and its application to branch prediction. In Proceedings of the 9th International Symposium on High-Performance Computer Architecture, pages 65--77, February 2003.]]

Digital Library

[11]

J.-F. Collard, D. Barthou, and P. Feautrier. Fuzzy array dataflow analysis. In ppopp, pages 92--102, Santa Barbara, California, July 1995.]]

Digital Library

[12]

M. Conrad. On design principles for a molecular computer. Commun. ACM, 28(5):464--480, 1985.]]

Digital Library

[13]

Z. Cvetanovic and D. Bhandarkar. Performance characterization of the alpha 21164 microprocessor using TP and SPEC workloads. In HPCA, pages 270--280, 1996.]]

Digital Library

[14]

A. Dandalis and V. K. Prasanna. Run-time performance optimization of an FPGA-based deduction engine for sat solvers. ACM Trans. Des. Autom. Electron. Syst., 7(4):547--562, 2002.]]

Digital Library

[15]

A. DeHon. Reconfigurable Architectures for General-Purpose Computing. PhD thesis, Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 1996.]]

Digital Library

[16]

A. DeHon. Very large scale spatial computing. In Third International Conference on Unconventional Models of Computation, pages 27--37, October 2002.]]

Digital Library

[17]

André DeHon. The density advantage of configurable computing. Computer, 33(4):41--49, 2000.]]

Digital Library

[18]

D. Deutsch and R. Jozsa. Rapid solution of problems by quantum computation. Proceedings of the Royal Society of London Ser. A, A439:553--558, 1992.]]

[19]

Jr. F. H. Carvalho, R. M. F. Lima, and R. D. Lins. Coordinating functional processes with Haskell#. In Proceedings of the 2002 ACM symposium on Applied computing, pages 393--400. ACM Press, 2002.]]

Digital Library

[20]

P. Fradet and D. Le Métayer. Structured Gamma. Science of Computer Programming, 31(2--3):263--289, 1998.]]

Digital Library

[21]

T. Gautier, P. Le Guernic, and L. Bernard. Signal: A declarative language for synchronous programming of real time system. Computer Science, pages 257--277, 1987.]]

[22]

S. Ghosh, M. Martonosi, and S. Malik. Cache miss equations: an analytical representation of cache misses. In Proceedings of the 11th international conference on Supercomputing, pages 317--324. ACM Press, 1997.]]

Digital Library

[23]

P. N. Glaskowsky. Microprocessor report. Network Processors Mature in 2001, February 2002.]]

[24]

S. C. Goldstein and M. Budiu. Nanofabrics: spatial computing using molecular electronics. In Proceedings of the 28th annual international symposium on Computer architecture, pages 178--191. ACM Press, 2001.]]

Digital Library

[25]

F. Gruau. Process of translation and conception of neural networks, based on a logical description of the target problem, us patent en 93 158 92, december 30, 1993.]]

[26]

F. Gruau. Automatic definition of modular neural networks. Adaptive Behaviour, 3(2):151--183, 1995.]]

Digital Library

[27]

F. Gruau. Modular genetic neural networks for 6-legged locomotion. Artifical Evolution, pages 201--219, 1995.]]

Digital Library

[28]

F. Gruau and P. Malbos. The Blob: A basic topological concept for hardware-free distributed computation. In Unconventional Models of Computation (UMC'02), Kobe, Japan, pages 151--163, 2002.]]

Digital Library

[29]

F. Gruau and G. Moszkowski. Time-efficient self-reproduction on a 2-d cellular automaton. In 1st International Workshop on Biologically inspired Approaches To Advanced Information Technology, 2004.]]

[30]

F. Gruau, J-Y. Ratajszczak, and G. Wiber. A neural compiler. Theoretical Computer Science, 141(1, 2):1--52, April 1995.]]

Digital Library

[31]

F. Gruau and J. T. Tromp. Cellular gravity. In 741, page~10. Centrum voor Wiskunde en Informatica (CWI), ISSN 1386-3681, 1999.]]

[32]

N. Halbwachs, P. Caspi, P. Raymond, and D. Pilaud. The synchronous data-flow programming language LUSTRE. Proceedings of the IEEE, 79(9):1305--1320, September 1991.]]

[33]

C. Hankin, D. Le Métayer, and D. Sands. Refining multiset transformers. Theoretical Computer Science, 192(2):233--258, 1998.]]

Digital Library

[34]

T. H. Heil, Z. Smith, and J. E. Smith. Improving branch predictors by correlating on data values. In Proceedings of the 32nd annual ACM/IEEE international symposium on Microarchitecture, pages 28--37. IEEE Computer Society, 1999.]]

Digital Library

[35]

G. Hinton, D. Sager, M. Upton, D. Boggs, D. Carmean, A. Kyker, and P. Roussel. The microarchitecture of the pentium 4 processor. Intel Technology Journal Q1, 2001.]]

[36]

J.W. Klop. Term rewriting systems. In Handbook of Logic in Computer Science, volume 2. Clarendon Press, 1992.]]

Digital Library

[37]

H.T. Kung and C.E. Leiserson. Systolic array for VLSI. In Addison Wesley, editor, Introduction to VLSI systems, C. A. Mead and L. A. Conway, 1980.]]

[38]

J. Mazoyer. Computations on one dimensional cellular automata. Annals of Mathematics and Artificial Intelligence, 16:285--309, 1996.]]

[39]

J. Moreira. Memory models for the Bluegene/L Supercomputer. http://www.dagstuhl.de/03431/Proceedings/, 2003.]]

[40]

R. Nagarajan, K. Sankaralingam, D. Burger, and S. W. Keckler. A design space evaluation of grid processor architectures. In Proceedings of the 34th annual ACM/IEEE international symposium on Microarchitecture, pages 40--51. IEEE Computer Society, 2001.]]

Digital Library

[41]

A. Narayanan and S. Zorbalas. DNA algorithms for computing shortest paths. In John~R. Koza, Wolfgang Banzhaf, Kumar Chellapilla, Kalyanmoy Deb, Marco Dorigo, David~B. Fogel, Max~H. Garzon, David~E. Goldberg, Hitoshi Iba, and Rick Riolo, editors, Genetic Programming 1998: Proceedings of the Third Annual Conference, pages 718--724, University of Wisconsin, Madison, Wisconsin, USA, 22-25 1998. Morgan Kaufmann.]]

[42]

B. Nitzberg and V. Lo. Distributed shared memory: A survey of issues and algorithms. In IEEE Computer, pages 52--60, 1991.]]

Digital Library

[43]

G. M. Papadopoulos and D. E. Culler. Monsoon: an explicit token-store architecture. In Proceedings of the 17th annual international symposium on Computer Architecture, pages 82--91. ACM Press, 1990.]]

Digital Library

[44]

G. Paun. Computing membranes. Journal of Computer and System Sciences, 1(61):108--143, 2000.]]

Digital Library

[45]

J. A. Rose, Y. Gao, M. Garzon, and R. C. Murphy. DNA implementation of finite-state machines. In John R. Koza, Kalyanmoy Deb, Marco Dorigo, David B. Fogel, Max Garzon, Hitoshi Iba, and Rick~L. Riolo, editors, Genetic Programming 1997: Proceedings of the Second Annual Conference, pages 479--490, Stanford University, CA, USA, 13-16 1997. Morgan Kaufmann.]]

[46]

E. Rotenberg, S. Bennett, and J. E. Smith. Trace cache: A low latency approach to high bandwidth instruction fetching. In International Symposium on Microarchitecture, pages 24--35, 1996.]]

Digital Library

[47]

K. Sankaralingam, R. Nagarajan, H. Liu, C. Kim, J. Huh, D. Burger, S. W. Keckler, and C. R. Moore. Exploiting ilp, tlp, and dlp with the polymorphous TRIPS architecture. In Proceedings of the 30th annual international symposium on Computer architecture, pages 422--433. ACM Press, 2003.]]

Digital Library

[48]

V. Sarkar. Partitioning and scheduling parallel programs for multiprocessors. MIT Press, 1989.]]

Digital Library

[49]

G. Sassatelli, L. Torres, P. Benoit, T. Gil., C. Diou, G. Cambon, and J. Galy. Higly scalable dynamically reconfigurable systollic ring-architecture for DSP application. In Design Automation and Test in Europe Conference and Exhibition, march 2002.]]

Digital Library

[50]

H. Sharangpani and K. Arora. Itanium processor microarchitecture. IEEE Micro, 20(5):24--43, october 2000.]]

Digital Library

[51]

P. W. Shor. Algorithms for quantum computation: Discrete logarithms and factoring. In IEEE Symposium on Foundations of Computer Science, pages 124--134, 1994.]]

Digital Library

[52]

M. Sipper. Co-evolving non-uniform cellular automata to perform computations. Physica D, 92:193--208, 1996.]]

Digital Library

[53]

R. Stadler, S. Ami, M. Forshaw, and C. Joachim. A memory/adder model based on single c60 molecular transistors. Nanotechnology, 12:350--357, 2001.]]

[54]

A. Terechko, E. Le Thenaff, M. Garg, and J. van Eijndhoven. Inter-cluster communication models for clustered VLIW processors. In Proceedings of the 9th International Symposium on High-Performance Computer Architecture, pages 354--364, February 2003.]]

Digital Library

[55]

W. Thies, M. Karczmarek, and S. P. Amarasinghe. StreamIt: A language for streaming applications. In Computational Complexity, pages 179--196, 2002.]]

Digital Library

[56]

C. D. Thompson. The VLSI complexity of sorting. IEEE Transactions on Computers, C-32(12):1171--1184, 1983.]]

Digital Library

[57]

T. Toffoli. Programmable matter methods. Future Generation Computer Systems, 16(2--3):187--201, 1999.]]

Digital Library

[58]

T. Toffoli and T. Bach. A common language for "programmable matter" (cellular automata and all that). Bulletin of the Italian Association for Artificial Intelligence, March 2001.]]

[59]

D. M. Tullsen, S. J. Eggers, and H. M. Levy. Simultaneous multithreading: maximizing on-chip parallelism. In 25 years of the international symposia on Computer architecture (selected papers), pages 533--544. ACM Press, 1998.]]

Digital Library

[60]

A. M. Turing. The chemical basis of morphogenesis. Phil. Trans. Roy. Soc. of London, Series B: Biological Sciences(237):37--72, 1952.]]

[61]

P. M. B. Vitanyi. Locality, communication, and interconnect length in multi-computers. SIAM Journal of computing, 1988.]]

Digital Library

[62]

J. Wahle, L. Neubert, J. Esser, and M. Schreckenberg. A cellular automaton traffic flow model for online simulation of traffic. Parallel Computing, 27(5):719--735, 2001.]]

Digital Library

[63]

Z. A. Ye, A. Moshovos, S. Hauck, and P. Banerjee. Chimaera: a high-performance architecture with a tightly-coupled reconfigurable functional unit. In Proceedings of the 27th annual international symposium on Computer architecture, pages 225--235. ACM Press, 2000.]]

Digital Library

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Pani DSau CPalumbo FRaffo L(2015)Computing Swarms for Self-Adaptiveness and Self-Organization in Floating-Point Array ProcessingACM Transactions on Autonomous and Adaptive Systems10.1145/274634610:3(1-34)Online publication date: 1-Sep-2015
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Orhai MBlack ABlack AD'Hondt TKimelman DRinard MUngar D(2012)Approximate parallel sorting on a spatial computerProceedings of the 2012 ACM workshop on Relaxing synchronization for multicore and manycore scalability10.1145/2414729.2414739(61-66)Online publication date: 21-Oct-2012
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Index Terms

BLOB computing
1. Computer systems organization
  1. Architectures
    1. Distributed architectures
2. Software and its engineering
  1. Software notations and tools
    1. General programming languages
      1. Language types
        Concurrent programming languages
        Distributed programming languages
        Parallel programming languages

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cover image ACM Conferences

CF '04: Proceedings of the 1st conference on Computing frontiers

April 2004

522 pages

ISBN:1581137419

DOI:10.1145/977091

General Chair:
Stamatis Vassiliadis
Delft University of Technology, The Netherlands
,
Program Chairs:
Jean-Luc Gaudiot
University of California at Irvine, USA
,
Vincenzo Piuri
University of Milan, Italy

Copyright © 2004 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 14 April 2004

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April 14 - 16, 2004

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Pani DSau CPalumbo FRaffo L(2015)Computing Swarms for Self-Adaptiveness and Self-Organization in Floating-Point Array ProcessingACM Transactions on Autonomous and Adaptive Systems10.1145/274634610:3(1-34)Online publication date: 1-Sep-2015
https://dl.acm.org/doi/10.1145/2746346
Orhai MBlack ABlack AD'Hondt TKimelman DRinard MUngar D(2012)Approximate parallel sorting on a spatial computerProceedings of the 2012 ACM workshop on Relaxing synchronization for multicore and manycore scalability10.1145/2414729.2414739(61-66)Online publication date: 21-Oct-2012
https://dl.acm.org/doi/10.1145/2414729.2414739
Hoseini MTan ZYou CPavicic M(2010)Design of a reconfigurable pulsed quad-cell for cellular-automata-based conformal computingInternational Journal of Reconfigurable Computing10.1155/2010/3524282010(1-11)Online publication date: 1-Jan-2010
https://dl.acm.org/doi/10.1155/2010/352428
Spicher AMichel OGiavitto J(2010)Spatial Computing as Intensional Data ParallelismProceedings of the 2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshop10.1109/SASOW.2010.73(196-205)Online publication date: 27-Sep-2010
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Pani DRaffo L(2010)Self-coordinated On-Chip Parallel Computing: A Swarm Intelligence ApproachParallel and Distributed Computational Intelligence10.1007/978-3-642-10675-0_5(91-112)Online publication date: 2010
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Stefanovic D(2008)Emerging Models of ComputationSoftware-Intensive Systems and New Computing Paradigms10.1007/978-3-540-89437-7_16(255-265)Online publication date: 14-Nov-2008
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