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Simple Linux Utility Resource Manager (SLURM)

4 minute read

Published:

Slurm is a powerful job scheduler and resource manager designed for clusters. It efficiently allocates resources such as CPU cores, memory, GPUs, and nodes to user-submitted jobs, ensuring optimal utilization and management of the cluster’s capabilities. Users can submit jobs, request specific resources, and monitor job statuses through Slurm’s commands and interfaces.

portfolio

publications

A Novel Coronavirus Speech Dataset: CoSDa

Published in In the proceedings of 2021 Innovations in Intelligent Systems and Applications Conference (ASYU), 2021

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Recommended citation: Yılmaz, G., Tektaş, R., Kazan, M.S., Ndigande, A.P. and Pehlivanoğlu, M.K., 2021, October. A Novel Coronavirus Speech Dataset: CoSDa. In 2021 Innovations in Intelligent Systems and Applications Conference (ASYU) (pp. 1-4). IEEE.

Using different loss functions with YOLACT++ for real-time instance segmentation

Published in In the proceedings of 2023 46th International Conference on Telecommunications and Signal Processing (TSP), 2023

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Recommended citation: Koles, S., Karakas, S., Ndigande, A.P. and Ozer, S., 2023, July. Using different loss functions with YOLACT++ for real-time instance segmentation. In 2023 46th International Conference on Telecommunications and Signal Processing (TSP) (pp. 264-267). IEEE.

Performance analysis of meta-learning based bayesian deep kernel transfer methods for regression tasks

Published in In the proceedings of 2023 31st Signal Processing and Communications Applications Conference (SIU), 2023

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Recommended citation: Savaşli, Ç., Tütüncü, D., Ndigande, A.P. and Özer, S., 2023, July. Performance analysis of meta-learning based bayesian deep kernel transfer methods for regression tasks. In 2023 31st Signal Processing and Communications Applications Conference (SIU) (pp. 1-4). IEEE.

Analysis and Comparison of Dockerized and Standalone Apache Spark Configurations for Efficient Distributed Data Processing

Published in In the proceedings of ASYU 2024: International Symposium on Computer and Information Sciences, 2024

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Recommended citation: Alain Ndigande, Ismail Ari, Sedat Özer, "Analysis and Comparison of Dockerized and Standalone Apache Spark Configurations for Efficient Distributed Data Processing." In the proceedings of ASYU 2024: International Symposium on Computer and Information Sciences, 2024.

Performance Comparison of Recent Advances in Query-Based Video Instance Segmentation

Published in Pattern Recognition and Computer Vision in the New AI Era, 2025

Book chapter comparing recent query-based approaches for video instance segmentation.

Recommended citation: Ndigande, A.P. and Ozer, S., 2025. Performance Comparison of Recent Advances in Query-Based Video Instance Segmentation. In Pattern Recognition and Computer Vision in the New AI Era. World Scientific.
Open Paper

FBQM-VIS: Fourier Based Query Mixing for Online Video Instance Segmentation

Published in In the proceedings of 2025 33rd Signal Processing and Communications Applications Conference (SIU), 2025

Conference paper on Fourier-based query mixing for online video instance segmentation.

Recommended citation: Ndigande, A.P. and Ozer, S., 2025. FBQM-VIS: Fourier Based Query Mixing for Online Video Instance Segmentation. In 2025 33rd Signal Processing and Communications Applications Conference (SIU) (pp. 1-4). IEEE.

Survey on Disaster Management Datasets for Remote Sensing Based Emergency Applications

Published in IEEE Transactions on Geoscience and Remote Sensing, 2026

Survey of public image datasets for disaster management pipelines in remote sensing and computer vision.

Recommended citation: Ndigande, A.P., Wiggins, J. and Ozer, S., 2026. Survey on Disaster Management Datasets for Remote Sensing Based Emergency Applications. IEEE Transactions on Geoscience and Remote Sensing. doi:10.1109/TGRS.2026.3692760.
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talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.