Ir al contenido

Documat


Trends in High Performance Computing and Quantum Computing

  • Adrián Pousa [1] ; Victoria María Sanz [1] ; Marcelo Naiouf [1] Árbol académico ; Armando De Giusti [1] Árbol académico
    1. [1] Universidad Nacional de La Plata

      Universidad Nacional de La Plata

      Argentina

  • Localización: Journal of Computer Science and Technology, ISSN-e 1666-6038, Vol. 24, Nº. 2, 2024
  • Idioma: inglés
  • DOI: 10.24215/16666038.24.e11
  • Títulos paralelos:
    • Tendencias en Cómputo de Altas Prestaciones y Computación Cuántica
  • Enlaces
  • Resumen
    • español

      La Computación de Alto Rendimiento (HPC) aplica diferentes técnicas a aplicaciones complejas o de gran volumen, apoyándose tanto en software como en hardware paralelos, para reducir su tiempo de ejecución en comparación con su ejecución en una computadora simple. Por otro lado, la Computación Cuántica (QC) surge como un nuevo paradigma que aprovecha las propiedades de la Mecánica Cuántica para la computación. La QC tiene una naturaleza inherentemente paralela y se espera que resuelva algunos problemas más rápido que la computación clásica. En este artículo se realiza una revisión bibliográfica para examinar el punto de vista de diferentes autores respecto a la relación entre HPC y QC. El objetivo es determinar la tendencia de esta relación: ¿QC reemplazará a la computación HPC clásica? o ¿Se complementarán entre sí? Además, si fueran herramientas complementarias, se busca responder: ¿Cómo podrían integrarse?¿Cómo accederán los usuarios a estos recursos?.

    • English

      High Performance Computing (HPC) applies different techniques to complex or large-volume applications, relying on both parallel software and hardware, to reduce their execution time compared to running them on a simple computer. On the other hand, Quantum Computing (QC) emerges as a new paradigm that leverages the properties of Quantum Mechanics for computation. QC has an inherently parallel nature and it is expected to solve some problems faster than classical computing. This paper carries out a bibliographic review to examine the point of view of different authors regarding the relationship between HPC and QC. The objective is to determine the trend of this relationship: Will QC replace classical HPC computing? or Will they complement each other? Also, if they were complementary tools, the aim is to answer: How could they be integrated? How will users access these resources?

  • Referencias bibliográficas
    • A. Grama, A. Gupta, G. Karypis, V. Kumar, ”An In- troduction to Parallel Computing”, 2nd ed., Addison Wesley, 2003.
    • I. Foster, ”Designing and Building Parallel Programs: Concepts and Tools for Parallel Software Engineering”, Pearson, 2023.
    • J. Dongarra, I. Foster, G. Fox, W. Gropp, K. Kennedy, L. Torczon, A. White, ”Sourcebook of Parallel Comput- ing”, Morgan Kaufmann, 2003.
    • S.Golestan,M.R.Habibi,S.Y.MousazadehMousavi, J. M. Guerrero, J. C. Vasquez, ”Quantum computation in power systems: An overview of recent advances”,...
    • J.Preskill,”Quantumcomputingandtheentanglement frontier”, arXiv preprint arXiv:1203.5813v3, 2012. DOI: https://doi.org/10.48550/arXiv.1203.5813
    • A. Papageorgiou, J. F. Traub, ”Measures of quantum computing speedup”, arXiv preprint arXiv:1307.7488v1, 2013. DOI: https://doi.org/10.48550/arXiv.1307.7488
    • P. W. Shor, ”Polynomial-Time Algorithms for Prime Factorization and Discrete Logarithms on a Quantum Computer”, arXiv:quant-ph/9508027v2,...
    • C. Hughes, J. Isaacson, A. Perry, R. F. Sun, J. Turner, ”What Is a Qubit?. In: Quantum Computing for the Quantum Curious”, Springer, Cham,...
    • S. S. Gill, A. Kumar, H. Singh, M. Singh, K. Kaur, M. Usman, R. Buyya, ”Quantum computing: A taxonomy, systematic review and future directions”,...
    • B. Lackey, ”Quantum networking: A roadmap to a quantum internet”, Microsoft Azure Quantum Blog. Accessed: Feb. 29, 2024. https://cloudblogs.microsoft.com/quantum/2023/11/01/...
    • G.Hager,G.Wellein,”IntroductiontoHPCforScien- tists and Engineers”, CRC Press, 2010.
    • Parallel Virtual Machine (PVM), https://www.epm.ornl.gov/pvm/pvmhome.html
    • Message Passing Interface (MPI), https://www.mpi-forum.org/
    • OpenPBS Resource https://www.openpbs.org/
    • Torque Resource https://adaptivecomputing.com/cherry-services/torque-resource-manager/
    • SlurmResourceManager,https://slurm.schedmd.com/
    • PosixThreads(Pthreads),https://posix.opengroup.org/
    • Open Multi-Processing (OpenMP), https://www.openmp.org/
    • V. Sanz, A. Pousa, M. Naiouf, A. De Giusti, ”Accel- erating Pattern Matching with CPU-GPU Collaborative Computing”, Algorithms and Architectures...
    • V. Sanz, A. Pousa, M. Naiouf, A. De Giusti, ”Eff- cient Pattern Matching on CPU-GPU Heterogeneous Systems”, Algorithms and Architectures for...
    • Amazon Braket: Quantum Computers, QuEra, https://aws.amazon.com/es/braket/quantum-computers/quera/
    • Amazon Braket: Quantum Computers, Rigetti, https://aws.amazon.com/es/braket/quantum-computers/rigetti/
    • IBM: Quantum Computing Technology, https://www.ibm.com/quantum/technology
    • Google, Quantum AI.: Quantum Computer Datasheet, https://quantumai.google/hardware/datasheet/weber.pdf
    • A. Barenco, C. H. Bennett, R. Cleve, D. P. DiVin- cenzo, N. Margolus, P. Shor, T. Sleator, J. Smolin, H. Weinfurter, ”Elementary gates for...
    • AmazonBraket,https://aws.amazon.com/braket/
    • D. Deutsch, R. Jozsa ”Rapid solution of prob- lems by quantum computation”, Proceedings of the Royal Society of London A439:553, 1992. DOI:...
    • L.K.Grover,”Afastquantummechanicalalgorithm for database search”, Proceedings, 28th Annual ACM Symposium on the Theory of Computing, 1996....
    • S. J. Devitt, W. J. Munro, K. Nemoto, ”High Performance Quantum Computing”, arXiv preprint arXiv:0810.2444, 2008. DOI: https://doi.org/10.48550/arXiv.0810.2444
    • T. Haner, D. S. Steiger, T. Hoefler, M. Troyer, ”Distributed Quantum Computing with QMPI”, Pro- ceedings of the International Conference for...
    • Performance Computing, Networking, Storage and Analysis, SC 2021, Article No.: 16, 2021. DOI: https://doi.org/10.48550/arXiv.2105.01109
    • S. Banerjee, I. Foster, W. Gropp, ”Infrastructure for Artificial Intelligence, Quantum and High Perfor- mance Computing”, arXiv:2012.09303,...
    • K. A. Britt, T. S. Humble, ”High-Performance Com- puting with Quantum Processing Units”, ACM Journal on Emerging Technologies in Computing...
    • K. A. Britt, F. A. Mohiyaddin, T. S. Humble, ”Quan- tum Accelerators for High-Performance Computing Sys- tems”, arXiv preprint arXiv: 1712.01423,...
    • P. Selinger, ”Towards a quantum programming language”, Mathematical Structures in Computer Science, vol. 14, pp. 527–586, 8, 2004. DOI: https://doi.org/10.1017/S09601295040042
    • D. C. Steiger, T. Haner, M. Troyer, ”Projectq: An open source software framework for quantum com- puting”, arXiv preprint arXiv:1612.08091,...
    • N. Saurabh, S. Jha, A. Luckow, ”A Concep- tual Architecture for a Quantum-HPC Middleware”, arXiv preprint arXiv:2308.06608v1, 2023. DOI: https://doi.org/10.48550/arXiv.2308.06608
    • M. Perelshtein, A. Sagingalieva, K. Pinto, V. Shete, A. Pakhomchik, A. Melnikov, F. Neukart, G. Gesek, A. Melnikov, V. Vinokur, ”Practical...
    • A. Elsharkawy, M. Xiao-Ting, P. Seitz, Y. Chen, Y. Stade, M. Geiger, Q. Huang, X. Guo, M. A. Ansari, C. B. Mendl, D. Kranzlmu ̈ller, M. Schulz,...

Fundación Dialnet

Mi Documat

Opciones de artículo

Opciones de compartir

Opciones de entorno