Schulze, Bruno
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2

Solid state culture conditions for improved conidial produc..:

Schulze, Bruno ; Gomez, D. ; Posadas, J. B.
Biocontrol Science and Technology.  33 (2023)  11 - p. 1085-1103 , 2023
 
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3

A Multi-objective Hyperparameter Optimization for Machine L..:

, In: Advances in Artificial Intelligence – IBERAMIA 2022; Lecture Notes in Computer Science,
 
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Session details: 10th International Workshop on Cloud and E..:

, In: Proceedings of the 14th IEEE/ACM International Conference on Utility and Cloud Computing Companion,
 
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Towards a sustainable artificial intelligence: A case study..:

Ferro, Mariza ; Silva, Gabrieli D. ; de Paula, Felipe B...
Concurrency and Computation: Practice and Experience.  35 (2021)  17 - p. , 2021
 
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7

Static job scheduling for environments with vertical elasti..:

Kloh, Henrique ; Rebello, Vinod E. F. ; Boeres, Cristina..
Concurrency and Computation: Practice and Experience.  32 (2020)  19 - p. , 2020
 
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SMCis: Scientific Applications Monitoring and Prediction fo..:

, In: Communications in Computer and Information Science; High Performance Computing Systems,
 
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9

The survey on ARM processors for HPC:

Yokoyama, Daniel ; Schulze, Bruno ; Borges, Fábio.
The Journal of Supercomputing.  75 (2019)  10 - p. 7003-7036 , 2019
 
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Analysis of parallelized libraries and interference effects..:

Licht, Fabio ; Schulze, Bruno ; Bona, Luis C.E..
Computers & Electrical Engineering.  66 (2018)  - p. 435-453 , 2018
 
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11

SMCis: Scientific Applications Monitoring Tool for HPC Envi..:

, In: 2018 Symposium on High Performance Computing Systems (WSCAD),
Silva, Gabrieli ; Kloh, Vinicius ; Yokoyama, Andre.. - p. 148-154 , 2018
 
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12

Message from the CloudAM and HDCC 2017 Workshops Co-Chairs:

, In: Companion Proceedings of the10th International Conference on Utility and Cloud Computing,
 
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13

Affinity aware scheduling model of cluster nodes in private..:

Yokoyama, Daniel ; Schulze, Bruno ; Kloh, Henrique..
Journal of Network and Computer Applications.  95 (2017)  - p. 94-104 , 2017
 
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Leveraging high performance computing for bioinformatics ..:

, In: Proceedings of the 16th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing,
 
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