7 citations · 11 across the 4 of their papers we have counts for
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cs.DC2022★ 1 cited
Speedup and efficiency of computational parallelization: A unifying approach and asymptotic analysis
Guido Schryen
In high performance computing environments, we observe an ongoing increase in the available numbers of cores. This development calls for re-emphasizing performance (scalability) an…
cs.DC2019★ 2 cited
Parallel computational optimization in operations research: A new integrative framework, literature review and research directions
Guido Schryen
Solving optimization problems with parallel algorithms has a long tradition in OR. Its future relevance for solving hard optimization problems in many fields, including finance, lo…
cs.DC2016★ 1 cited
High-Performance Computing for Scheduling Decision Support: A Parallel Depth-First Search Heuristic
Gerhard Rauchecker, Guido Schryen
Many academic disciplines - including information systems, computer science, and operations management - face scheduling problems as important decision making tasks. Since many sch…