As supercomputing facilities increasingly run data analytics and artificial intelligence (AI) workloads, an efficient handling of external data sources, of storage and of data flows becomes paramount. However, often this is just addressed via optimization of parallel file systems, network connectivity and I/O libraries. In industry, it is common practice to support data-driven applications...
IFARM is a computing farm operated by GSDC/KISTI that supports computational experiments for several Korean scientific communities. IFARM has been in service since 2019 by integrating the previously separate computing‑farm services that had been provisioned for each scientific community. As of the end of 2025, the service targets are the CMS Tier‑3 and ALICE Tier‑3 communities. By mid‑2025,...
The Subset Sum Problem (SSP) asks whether there exists a subset of a given set $S$ of integers such that the sum of the elements in the subset corresponds to a predefined target t. The SSP is one of Karp's NP-complete problems and has several real-life applications. In previous works, we have shown that the SSP can be easily mapped onto a Quadratic Unconstrained Binary Optimization (aka QUBO)...
Devising a multi-workflow scheduling algorithm is paramount to explore high performance from High Performance Computing Environment. In this article, we propose a new list scheduling algorithm taking fairness into consideration for assigning multi-workflow to heterogeneous processors. The proposed algorithm, a Fairness-aware Improved HEFT (Fair-IHEFT) algorithm is devised to schedule multiple...
