Author:
Borin Edson,Napoli Otávio O.
Publisher
Springer International Publishing
Reference17 articles.
1. J.R. Brunetta, E. Borin, Selecting efficient cloud resources for HPC workloads, in Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing (2019), pp. 155–164
2. N.T. Okita, T.A. Coimbra, M. Tygel, E. Borin, A heuristic to optimize the execution cost of distributed seismic processing programs on the cloud, in SEG International Exposition and Annual Meeting (OnePetro, 2019)
3. D. Samuel, S. Khan, C.J. Balos, Z. Abuelhaj, A.D. Dutoi, C. Kari, D. Mueller, V.K. Pallipuram, A2Cloud-RF: A random forest based statistical framework to guide resource selection for high-performance scientific computing on the cloud. Concurrency and Computation: Practice and Experience 32(24), e5942 (2020)
4. T. A. S. Camacho, V. M. do Rosario, O. O. Napoli, E. Borin, PB3Opt: Profile-based biased Bayesian optimization to select computing clusters on the cloud. Concurrency and Computation: Practice and Experience e7540(2022)
5. N.T. Okita, T.A. Coimbra, Faster and cheaper: How graphics processing units on spot-market instances minimize turnaround time and budget. Interpretation 9(1), SA1 (2021)