| 1. |
- Bongo, Lars Ailo, et al.
(author)
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Applications for Ultrascale Computing
- 2015
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In: Supercomputing Frontiers and Innovations. - : FSAEIHE South Ural State University (National Research University). - 2409-6008 .- 2313-8734. ; 2:1, s. 19-48
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Journal article (peer-reviewed)abstract
- Studies of complex physical and engineering systems, represented by multi-scale and multi-physics computer simulations have an increasing demand for computing power, especially when the simulations of realistic problems are considered. This demand is driven by the increasing size and complexity of the studied systems or the time constraints. Ultrascale computing systems offer a possible solution to this problem. Future ultrascale systems will be large-scale complex computing systems combining technologies from high performance computing, distributed systems, big data, and cloud computing. Thus, the challenge of developing and programming complex algorithms on these systems is twofold. Firstly, the complex algorithms have to be either developed from scratch, or redesigned in order to yield high performance, while retaining correct functional behaviour. Secondly, ultrascale computing systems impose a number of non-functional cross-cutting concerns, such as fault tolerance or energy consumption, which can significantly impact the deployment of applications on large complex systems. This article discusses the state-of-the-art of programming for current and future large scale systems with an emphasis on complex applications. We derive a number of programming and execution support requirements by studying several computing applications that the authors are currently developing and discuss their potential and necessary upgrades for ultrascale execution.
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| 2. |
- Kimovski, Dragi, et al.
(author)
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Beyond von neumann in the computing continuum : architectures, applications, and future directions
- 2023
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In: IEEE Internet Computing. - : IEEE COMPUTER SOC. - 1089-7801 .- 1941-0131. ; , s. 1-11
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Journal article (peer-reviewed)abstract
- The article discusses the emerging non-von Neumann computer architectures and their integration in the computing continuum for supporting modern distributed applications, including artificial intelligence, big data, and scientific computing. It provides a detailed summary of the available and emerging non-von Neumann architectures, which range from power-efficient single-board accelerators to quantum and neuromorphic computers. Furthermore, it explores their potential benefits for revolutionizing data processing and analysis in various societal, science, and industry fields. The paper provides a detailed analysis of the most widely used class of distributed applications and discusses the difficulties in their execution over the computing continuum, including communication, interoperability, orchestration, and sustainability issues.
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| 3. |
- Roman, Dumitru, et al.
(author)
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Big Data Pipelines on the Computing Continuum : Tapping the Dark Data
- 2022
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In: Computer. - : Institute of Electrical and Electronics Engineers (IEEE). - 0018-9162 .- 1558-0814. ; 55:11, s. 74-84
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Journal article (peer-reviewed)abstract
- The computing continuum enables new opportunities for managing big data pipelines concerning efficient management of heterogeneous and untrustworthy resources. We discuss the big data pipelines lifecycle on the computing continuum and its associated challenges, and we outline a future research agenda in this area.
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