Hasibur Rahman

Dharma Shukla, Muthian Sivathanu, Srinidhi Viswanatha et al.

Lowering costs by driving high utilization across deep learning workloads is a crucial lever for cloud providers. We present Singularity, Microsoft's globally distributed scheduling service for highly-efficient and reliable execution of deep learning training and inference workloads. At the heart of Singularity is a novel, workload-aware scheduler that can transparently preempt and elastically scale deep learning workloads to drive high utilization without impacting their correctness or performance, across a global fleet of AI accelerators (e.g., GPUs, FPGAs). All jobs in Singularity are preemptable, migratable, and dynamically resizable (elastic) by default: a live job can be dynamically and transparently (a) preempted and migrated to a different set of nodes, cluster, data center or a region and resumed exactly from the point where the execution was preempted, and (b) resized (i.e., elastically scaled-up/down) on a varying set of accelerators of a given type. Our mechanisms are transparent in that they do not require the user to make any changes to their code or require using any custom libraries that may limit flexibility. Additionally, our approach significantly improves the reliability of deep learning workloads. We show that the resulting efficiency and reliability gains with Singularity are achieved with negligible impact on the steady-state performance. Finally, our design approach is agnostic of DNN architectures and handles a variety of parallelism strategies (e.g., data/pipeline/model parallelism).

Kaushik Sarker, Hasibur Rahman, Khandaker Farzana Rahman et al.

Technology is an endless evolving expression in modern era, which increased security concerns and pushed us to create cyber environment. A National Cyber Security Strategy (NCSS) of a country reflects the state of that country's cyber strength which represents the aim and vision of the cyber security of a country. Formerly, researchers have worked on NCSS by comparing NCSS between different nations for international collaboration and harmonization and some researchers worked on policy framework for their respective governments. However very insignificant attempts had been made to assess the strategic strength of NCSS of Bangladesh by performing cross comparisons on NCSS of different Nations. Therefore, the motive of this research is to evaluate the robustness of the existing cyber security strategy of Bangladesh in comparison with some of the most technologically advanced countries in Asian continent and others like USA, Japan, Singapore, Malaysia and India in order to keep the NCSS of Bangladesh up-to-date.