Relevant bibliographies by topics / Parallelising architecture

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Conference papers

Academic literature on the topic 'Parallelising architecture'

Author: Grafiati
Published: 25 January 2025
Last updated: 31 July 2025

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Journal articles on the topic "Parallelising architecture"

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Keane, J. A. "Parallelising a financial system." Future Generation Computer Systems 9, no. 1 (1993): 41–51. http://dx.doi.org/10.1016/0167-739x(93)90025-k.

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Lam, Yuet Ming, José Gabriel F. Coutinho, Chun Hok Ho, Philip Heng Wai Leong, and Wayne Luk. "Multiloop Parallelisation Using Unrolling and Fission." International Journal of Reconfigurable Computing 2010 (2010): 1–10. http://dx.doi.org/10.1155/2010/475620.

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A technique for parallelising multiple loops in a heterogeneous computing system is presented. Loops are first unrolled and then broken up into multiple tasks which are mapped to reconfigurable hardware. A performance-driven optimisation is applied to find the best unrolling factor for each loop under hardware size constraints. The approach is demonstrated using three applications: speech recognition, image processing, and the N-Body problem. Experimental results show that a maximum speedup of 34 is achieved on a 274 MHz FPGA for the N-Body over a 2.6 GHz microprocessor, which is 4.1 times hig
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Stewart, Robert, Andrew Nowlan, Pascal Bacchus, Quentin Ducasse, and Ekaterina Komendantskaya. "Optimising Hardware Accelerated Neural Networks with Quantisation and a Knowledge Distillation Evolutionary Algorithm." Electronics 10, no. 4 (2021): 396. http://dx.doi.org/10.3390/electronics10040396.

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This paper compares the latency, accuracy, training time and hardware costs of neural networks compressed with our new multi-objective evolutionary algorithm called NEMOKD, and with quantisation. We evaluate NEMOKD on Intel’s Movidius Myriad X VPU processor, and quantisation on Xilinx’s programmable Z7020 FPGA hardware. Evolving models with NEMOKD increases inference accuracy by up to 82% at the cost of 38% increased latency, with throughput performance of 100–590 image frames-per-second (FPS). Quantisation identifies a sweet spot of 3 bit precision in the trade-off between latency, hardware r
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Rinberg, Arik, Alexander Spiegelman, Edward Bortnikov, et al. "Fast Concurrent Data Sketches." ACM Transactions on Parallel Computing 9, no. 2 (2022): 1–35. http://dx.doi.org/10.1145/3512758.

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Data sketches are approximate succinct summaries of long data streams. They are widely used for processing massive amounts of data and answering statistical queries about it. Existing libraries producing sketches are very fast, but do not allow parallelism for creating sketches using multiple threads or querying them while they are being built. We present a generic approach to parallelising data sketches efficiently and allowing them to be queried in real time, while bounding the error that such parallelism introduces. Utilising relaxed semantics and the notion of strong linearisability, we pr
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Ete, Remi, Frank Gaede, Julian Benda, and Hadrian Grasland. "MarlinMT - parallelising the Marlin framework." EPJ Web of Conferences 245 (2020): 05022. http://dx.doi.org/10.1051/epjconf/202024505022.

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Marlin is the event processing framework of the iLCSoft [1] ecosystem. Originally developed for the ILC more than 15 years ago, it is now widely used also by other communities, such as CLICdp, CEPC and many test beam projects such as CALICE, LCTPC and EU-Telescope. While Marlin is lightweight and flexible it was originally designed for sequential processing only. With MarlinMT we have now evolved Marlin for parallel processing of events on multi-core architectures based on multi-threading. We report on the necessary developments and issues encountered, within Marlin as well as with the underly
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Arbelaez, Alejandro, and Luis Quesada. "Parallelising the k-Medoids Clustering Problem Using Space-Partitioning." Proceedings of the International Symposium on Combinatorial Search 4, no. 1 (2021): 20–28. http://dx.doi.org/10.1609/socs.v4i1.18282.

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The k-medoids problem is a combinatorial optimisation problem with multiples applications in Resource Allocation, Mobile Computing, Sensor Networks and Telecommunications.Real instances of this problem involve hundreds of thousands of points and thousands of medoids.Despite the proliferation of parallel architectures, this problem has been mostly tackled using sequential approaches.In this paper, we study the impact of space-partitioning techniques on the performance of parallel local search algorithms to tackle the k-medoids clustering problem, and compare these results with the ones obtained
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Haveraaen, Magne. "Case Study on Algebraic Software Methodologies for Scientific Computing." Scientific Programming 8, no. 4 (2000): 261–73. http://dx.doi.org/10.1155/2000/482042.

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The use of domain specific languages and appropriate software architectures are currently seen as the way to enhance reusability and improve software productivity. Here we outline a use of algebraic software methodologies and advanced program constructors to improve the abstraction level of software for scientific computing. This leads us to the language of coordinate free numerics as an alternative to the traditional coordinate dependent array notation. This provides the backdrop for the three accompanying papers:Coordinate Free Programming of Computational Fluid Dynamics Problems, centered a
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Grote-Ramm, Wolfgang, Felix Schönig, Peter Schwarzbözl, Maximilian Drexelius, Daniel Maldonado Quinto, and Matthias Binder. "Model Predictive Control and Service Life Monitoring for Molten Salt Solar Power Towers." SolarPACES Conference Proceedings 2 (October 15, 2024). http://dx.doi.org/10.52825/solarpaces.v2i.774.

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A two-component system for control and monitoring of solar power towers with molten salt receivers is proposed. The control component consists of a model predictive control application (MPC) with a flexible objective function and on-line tunable weights, which runs on a Industrial PC and uses a reduced order dynamic model of the receiver’s thermal and flow dynamics. The second component consists of a service-life monitoring unit, which estimates the service-life consumption of the absorber tubes depending on the current mode of operation based on thermal stresses and creep fatigue in the high
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Padulano, Vincenzo Eduardo, Ivan Donchev Kabadzhov, Enric Tejedor Saavedra, Enrico Guiraud, and Pedro Alonso-Jordá. "Leveraging State-of-the-Art Engines for Large-Scale Data Analysis in High Energy Physics." Journal of Grid Computing 21, no. 1 (2023). http://dx.doi.org/10.1007/s10723-023-09645-2.

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AbstractThe Large Hadron Collider (LHC) at CERN has generated a vast amount of information from physics events, reaching peaks of TB of data per day which are then sent to large storage facilities. Traditionally, data processing workflows in the High Energy Physics (HEP) field have leveraged grid computing resources. In this context, users have been responsible for manually parallelising the analysis, sending tasks to computing nodes and aggregating the partial results. Analysis environments in this field have had a common building block in the ROOT software framework. This is the de facto sta
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Dissertations / Theses on the topic "Parallelising architecture"

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Louetsi, Kenelm. "Un environnement de développement d'applications sur un processeur à beaucoup de cœurs parallélisant." Electronic Thesis or Diss., Perpignan, 2024. http://www.theses.fr/2024PERP0024.

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Les objets numériques du futur (robots domestiques, véhicules autonomes, engins spatiaux automatiques,...) auront besoin à la fois de puissance de calcul et de sûreté. Le Little Big Processor (LBP) est adapté à ce défi : il a une approche novatriced u parallélisme qui offre l'avantage de la puissance en garantissant un certain déterminisme de l'exécution. Ce déterminisme d'exécution donne une sûreté de fonctionnement indispensable dans la plupart des dispositifs interagissant avec le monde et l'humain. Dans cette thèse, nous avons réalisé un environnement de développement pour LBP, avec un com
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Books on the topic "Parallelising architecture"

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Baxter, M. J. Parallelising and developing control algorithms for heterogeneous architectures. University of Sheffield, Dept. of Automatic Control and Systems Engineering, 1995.

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Conference papers on the topic "Parallelising architecture"

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Song, Meishu, Emilia Parada-Cabaleiro, Zijiang Yang, et al. "Parallelising 2D-CNNs and Transformers: A Cognitive-based approach for Automatic Recognition of Learners’ English Proficiency." In Intelligent Human Systems Integration (IHSI 2022) Integrating People and Intelligent Systems. AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001000.

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Learning English as a foreign language requires an extensive use of cognitive capacity, memory, and motor skills in order to orally express one’s thoughts in a clear manner. Current speech recognition intelligence focuses on recognising learners’ oral proficiency from fluency, prosody, pronunciation, and grammar’s perspectives. However, the capacity of clearly and naturally expressing an idea is a high-level cognitive behaviour which can hardly be represented by these detailed and segmental dimensions, which indeed do not fulfil English learners and teachers’ requirements. This work aims to ut
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Baxter, M. J. "Parallelising algorithms to exploit heterogeneous architectures for real-time control systems." In International Conference on Control '94. IEE, 1994. http://dx.doi.org/10.1049/cp:19940319.

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