Feature Selection for Learning to Predict Outcomes of Compute Cluster Jobs with Application to Decision Support

Autor: Okanlawon, Adedolapo, Yang, Huichen, Bose, Avishek, Hsu, William, Andresen, Dan, Tanash, Mohammed

We present a machine learning framework and a new test bed for data mining from the Slurm Workload Manager for high-performance computing (HPC) clusters. The focus was to find a method for selecting features to support decisions: helping users decide

Externí odkaz: http://arxiv.org/abs/2012.07982

AMPRO-HPCC: A Machine-Learning Tool for Predicting Resources on Slurm HPC Clusters

Autor: Tanash, Mohammed, Andresen, Daniel, Hsu, William

Publikováno v: ADVCOMP Int Conf Adv Eng Comput Appl Sci

Determining resource allocations (memory and time) for submitted jobs in High Performance Computing (HPC) systems is a challenging process even for computer scientists. HPC users are highly encouraged to overestimate resource allocation for their sub

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmc_________::f98deb0a5578f0412b74a518bf55ea19
https://europepmc.org/articles/PMC9906793/

CLINICAL CASE OF LONG-TERM RESULTS OF KERATO-REFRACTIVE SURGERIES IN A PATIENT WITH A HIGH MYOPIA

Autor: V.A. Biletskaya, M.A. Frolov, P.A. Gonchar, A.M. Tanash Mohammed, E.S. Belyaeva

Publikováno v: The Journal of scientific articles Health and Education millennium. 21:14-16

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a2f0508ad175e90855d1c34806791418
https://doi.org/10.26787/nydha-2226-7425-2019-21-4-14-16

AMPRO-HPCC: A Machine-Learning Tool for Predicting Resources on Slurm HPC Clusters.

Autor: Tanash M; Computer Science Department, Kansas State University, Manhattan, United States., Andresen D; Computer Science Department, Kansas State University, Manhattan, United States., Hsu W; Computer Science Department, Kansas State University, Manhattan, United States.

Publikováno v: ADVCOMP ... the ... International Conference on Advanced Engineering Computing and Applications in Sciences [ADVCOMP Int Conf Adv Eng Comput Appl Sci] 2021 Oct; Vol. 2021, pp. 20-27.

Improving HPC System Performance by Predicting Job Resources via Supervised Machine Learning.

Autor: Tanash M; Kansas State University, Manhattan, Kansas., Dunn B; Kansas State University, Manhattan, Kansas., Andresen D; Kansas State University, Manhattan, Kansas., Hsu W; Kansas State University, Manhattan, Kansas., Yang H; Kansas State University, Manhattan, Kansas., Okanlawon A; Kansas State University, Manhattan, Kansas.

Publikováno v: PEARC19 : Practice and Experience in Advanced Research Computing 2019 : Rise of the Machines (learning) : July 28-August 1, 2019, Chicago, Illinois. Practice and Experience in Advanced Research Computing (Conference) (2019 : Chicago, Il.. [PEARC19 (2019)] 2019 Jul; Vol. 2019. Date of Electronic Publication: 2019 Jul 28.