Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: High-Performance Computing for Scheduling Decision Support: A Parallel
  Depth-First Search Heuristic   Many academic disciplines - including information systems, computer science,
and operations management - face scheduling problems as important decision
making tasks. Since many scheduling problems are NP-hard in the strong sense,
there is a need for developing solution heuristics. For scheduling problems
with setup times on unrelated parallel machines, there is limited research on
solution methods and to the best of our knowledge, parallel computer
architectures have not yet been taken advantage of. We address this gap by
proposing and implementing a new solution heuristic and by testing different
parallelization strategies. In our computational experiments, we show that our
heuristic calculates near-optimal solutions even for large instances and that
computing time can be reduced substantially by our parallelization approach.

14
The categories of this paper are: math-ph
18
The categories of this paper are: econ
33
The categories of this paper are: plasm-ph
5
The categories of this paper are: gr-qc
15
The categories of this paper are: nucl-ex
19
The categories of this paper are: eess
8
The categories of this paper are: hep-ex
4
The categories of this paper are: cond-mat
31
The categories of this paper are: ao-sci
12
The categories of this paper are: nucl-th
20
The categories of this paper are: acc-phys
26
The categories of this paper are: bayes-an
9
The categories of this paper are: nlin
13
The categories of this paper are: quant-ph
2
The categories of this paper are: math
23
The categories of this paper are: solv-int