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CalCul: A Python-Based Workspace for High-Performance Parameters-Sweep in Scientific Legacy Codes

Gal Oren, Guy Malamud. CalCul: A Python-Based Workspace for High-Performance Parameters-Sweep in Scientific Legacy Codes. In Sanzio Bassini, Marco Danelutto, Patrizio Dazzi, Gerhard R. Joubert, Frans J. Peters, editors, Parallel Computing is Everywhere, Proceedings of the International Conference on Parallel Computing, ParCo 2017, 12-15 September 2017, Bologna, Italy. Volume 32 of Advances in Parallel Computing, pages 242-251, IOS Press, 2017. [doi]

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