2 papers
cs.DC2025
Tesserae: Scalable Placement Policies for Deep Learning Workloads
Song Bian, Saurabh Agarwal, Md. Tareq Mahmood +1
Training deep learning (DL) models has become a dominant workload in data-centers and improving resource utilization is a key goal of DL cluster schedulers. In order to do this, sc…
cs.CV2021
Learning Indoor Layouts from Simple Point-Clouds
Md. Tareq Mahmood, Mohammed Eunus Ali
Reconstructing a layout of indoor spaces has been a crucial part of growing indoor location based services. One of the key challenges in the proliferation of indoor location based…