As many scientific computation tasks focus on solving large-scale and computationally intensive problems, a wide range of problems involving High-Throughput Computing (HTC) paradigms and data-oriented algorithms emerge. Solving these HTC problems efficiently on modern supercomputers usually requires efficient and convenient job bundling. In this research, we evaluate multiple handy tools and workflows that are used to realize efficient and convenient job bundling. We also provide some practice guidelines for users when job bundling is required.
