Listar ICC_Articles por autoría "c9eb087c-af13-4478-967b-efe6585fdd2e"
Mostrando ítems 1-12 de 12
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A simulator to assess energy saving strategies and policies in HPC workloads
Association for Computing Machinery (ACM) (2012-07)In recent years power consumption of high performance computing (HPC) clusters has become a growing problem due, e.g., to the economic cost of electricity, the emission of car- bon dioxide (with negative impact on the ... -
A study on the performance of distributed training of data-driven CFD simulations
Sage (2023-05-04)Data-driven methods for computer simulations are blooming in many scientific areas. The traditional approach to simulating physical behaviors relies on solving partial differential equations (PDEs). Since calculating these ...
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A Survey on Malleability Solutions for High-Performance Distributed Computing
MDPI (2022-05-22)Maintaining a high rate of productivity, in terms of completed jobs per unit of time, in High-Performance Computing (HPC) facilities is a cornerstone in the next generation of exascale supercomputers. Process malleability ...
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An study of the effect of process malleability in the energy efficiency on GPU‑based clusters
Springer (2019-10-21)The adoption of graphic processor units (GPU) in high-performance computing (HPC) infrastructures determines, in many cases, the energy consumption of those facilities. For this reason, an efficient management and ...
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Complete Integration of Team Project-Based Learning Into a Database Syllabus
IEEE (2022-11-07)Team project-based learning (TPBL) combines two learning techniques: 1) project-based learning (PBL) and 2) teamwork. This combination leverages the learning outcomes of both methods and places students in a real work ...
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DMR API: Improving cluster productivity by turning applications into malleable
Elsevier (2018)Adaptive workloads can change on–the–fly the configuration of their jobs, in terms of number of processes. To carry out these job reconfigurations, we have designed a methodology which enables a job to communicate with ...
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DMRlib: Easy-coding and Efficient Resource Management for Job Malleability
IEEE (2020-09-09)Process malleability has proved to have a highly positive impact on the resource utilization and global productivity in data centers compared with the conventional static resource allocation policy. However, the non-negligible ...
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Dynamic reconfiguration of noniterative scientific applications A case study with HPG aligner
Springer (2018-09)Several studies have proved the benefits of job malleability, that is, the capacity of an application to adapt its parallelism to a dynamically changing number of allocated processors. The most remarkable advantages of ...
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Dynamic spawning of MPI processes applied to malleability
SAGE Publications (2023-05-29)Malleability allows computing facilities to adapt their workloads through resource management systems to maximize the throughput of the facility and the efficiency of the executed jobs. This technique is based on reconfiguring ...
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GSaaS: A service to cloudify and schedule GPUs
IEEE (2018-07)Cloud technology is an attractive infrastructure solution that provides customers with an almost unlimited on-demand computational capacity using a pay-per-use approach, and allows data centers to increase their energy and ...
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Improving the management efficiency of GPU workloads in data centers through GPU virtualization
Wiley (2019)Graphics processing units (GPUs) are currently used in data centers to reduce the execution time of compute‐intensive applications. However, the use of GPUs presents several side effects, such as increased acquisition costs ...
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On the benefits of the remote GPU virtualization mechanism: The rCUDA case
Wiley (2017-07-10)Graphics processing units (GPUs) are being adopted in many computing facilities given their extraordinary computing power, which makes it possible to accelerate many general purpose applications from different domains. ...
