Evaluation of Work Stealing Algorithms
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Publisher
Springer International Publishing
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https://link.springer.com/content/pdf/10.1007/978-3-031-19951-6_9
Reference11 articles.
1. Acar, U.A., Blelloch, G.E., Blumofe, R.D.: The data locality of work stealing. In: Proceedings of the twelfth annual ACM symposium on Parallel algorithms and architectures, pp. 1–12. SPAA 2000, ACM, New York (2000). https://doi.org/10.1145/341800.341801
2. Anselmi, J., Gaujal, B.: Performance evaluation of work stealing for streaming applications. In: Abdelzaher, T., Raynal, M., Santoro, N. (eds.) Principles of Distributed Systems, pp. 18–32. Springer (2009)
3. Blumofe, R.D., Joerg, C.F., Kuszmaul, B.C., Leiserson, C.E., Randall, K.H., Zhou, Y.: Cilk: an efficient multithreaded runtime system. In: Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, pp. 207–216. PPOPP 1595, ACM, New York (1995). https://doi.org/10.1145/209936.209958
4. Blumofe, R.D., Leiserson, C.E.: Scheduling multithreaded computations by work stealing. J. ACM 46(5), 720–748 (1999). https://doi.org/10.1145/324133.324234
5. Cormen, T.H., Leiserson, C.E., Rivest, R.L., Stein, C.: Introduction to Algorithms, Third Edition. The MIT Press, 3rd edn. (2009)
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