advancedcomputing resources are requested by different interest groups, with the acceleration of digital transformation generated both by the pandemic and by the explosive increase in available information. Data cent...
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ISBN:
(数字)9781665498562
ISBN:
(纸本)9781665498562
advancedcomputing resources are requested by different interest groups, with the acceleration of digital transformation generated both by the pandemic and by the explosive increase in available information. Data centers have increased significantly over the past years to answer this demand but are now facing energy efficiency issues and performance requirements. Renewable energy is a promising solution by supplying local energy, but this power generation is reduced, intermittent, and requires changing how computation and data storage is managed. Edge/Fog computing is a promising solution to latency concerns proximity to data centers;however, this solution often extends existing clouds, imposing no specific principles to reduce energy and greenhouse emissions. This paper discusses challenges of a scalable architecture to support sustainable advanced information technology requirements inspired by the circular economy characteristics. The architecture has to keep rethinking computation, optimizing deployment, and regenerating energy.
The execution of scientific codes will introduce a number of new challenges and intensify some old ones on new high-performance computing infrastructures. Petascale computers are large systems with complex designs usi...
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The execution of scientific codes will introduce a number of new challenges and intensify some old ones on new high-performance computing infrastructures. Petascale computers are large systems with complex designs using heterogeneous technologies that make the programming and porting of applications difficult, particularly if one wants to use the maximum peak performance of the system. In this paper we present the design and first prototype of a runtime system for parallel numerical simulations on large-scale systems. The proposed runtime system addresses the challenges of performance, scalability, and programmability of large-scale HPC systems. We also present initial results of our prototype implementation using a molecular dynamics application kernel.
The execution of scientific codes will introdu ce a number of new challenges and intensify some old ones on new high-performance computing infrastructures. Petascale computers are large systems with complex designs us...
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The execution of scientific codes will introdu ce a number of new challenges and intensify some old ones on new high-performance computing infrastructures. Petascale computers are large systems with complex designs using heterogeneous technologies that make the programming and porting of applications difficult, particularly if one wants to use the maximum peak performance of the system. In this paper we present the design and first prototype of a runtime system for parallel numerical simulations on large-scale systems. The proposed runtime system addresses the challenges of performance, scalability, and programmability of large-scale HPC systems. We also present initial results of our prototype implementation using a molecular dynamics application kernel.
We present a parallel algorithm that solves a time-domain non-linear mathematical model of the cochlea. The previously known serial solution of the cochlear model is recursive in the longitudinal dimension and iterati...
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We present a parallel algorithm that solves a time-domain non-linear mathematical model of the cochlea. The previously known serial solution of the cochlear model is recursive in the longitudinal dimension and iterative in the time dimension. These two characteristics of the serial solution limit parallelism and prevent efficient computations on a massively parallel processor. We introduce a novel parallel algorithm that successfully overcomes the challenges posed by the cochlear model. We present performance results of a parallel implementation of the algorithm that shortens the computation time by a typical factor of 160 – 180, which makes the proposed algorithm of practical value for applications such as clinical audiological diagnosis.
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