Cilkmem: Algorithms for Analyzing the Memory High-Water Mark of Fork-Join Parallel Programs

Tim Kaler, William Kuszmaul, Tao B. Schardl, Daniele Vettorel. Cilkmem: Algorithms for Analyzing the Memory High-Water Mark of Fork-Join Parallel Programs. In 1st Symposium on Algorithmic Principles of Computer Systems, APOCS@SODA 2020, Salt Lake City, UT, USA, January 8, 2020. pages 162-176, SIAM, 2020. [doi]

@inproceedings{KalerKSV20,
  title = {Cilkmem: Algorithms for Analyzing the Memory High-Water Mark of Fork-Join Parallel Programs},
  author = {Tim Kaler and William Kuszmaul and Tao B. Schardl and Daniele Vettorel},
  year = {2020},
  doi = {10.1137/1.9781611976021.12},
  url = {https://doi.org/10.1137/1.9781611976021.12},
  researchr = {https://researchr.org/publication/KalerKSV20},
  cites = {0},
  citedby = {0},
  pages = {162-176},
  booktitle = {1st Symposium on Algorithmic Principles of Computer Systems, APOCS@SODA 2020, Salt Lake City, UT, USA, January 8, 2020},
  publisher = {SIAM},
  isbn = {978-1-61197-602-1},
}