Aasish Kumar Sharma

Quantum-inspired QUBO methods for HPC scheduling falter in feasibility as problem complexity grows, revealing that classical solvers still reign supreme for realistic workflow sizes.

Orchestrating workloads across cloud, HPC, and edge resources just got easier, thanks to a new open-source framework that uses AI to schedule jobs while minimizing energy consumption.

HPC storage benchmarks hide a wealth of insights into filesystem-specific overheads and load imbalances, if you're willing to dig into the logs.