Language-Agnostic Optimization and Parallelization for Interpreted Languages

Author:

Strout Michelle Mills,Debray Saumya,Isaacs Kate,Kreaseck Barbara,Cárdenas-Rodríguez Julio,Hurwitz Bonnie,Volk Kat,Badger Sam,Bartels Jesse,Bertolacci Ian,Devkota Sabin,Encinas Anthony,Gaska Ben,Neth Brandon,Sackos Theo,Stephens Jon,Willer Sarah,Yadegari Babak

Publisher

Springer International Publishing

Reference14 articles.

1. Bolz, C.F., Cuni, A., Fijalkowski, M., Rigo, A.: Tracing the meta-level: Pypy’s tracing JIT compiler. In: Proceedings of the 4th Workshop on the Implementation, Compilation, Optimization of Object-Oriented Languages and Programming Systems, pp. 18–25. ACM (2009)

2. Catanzaro, B., et al.: SEJITS: getting productivity and performance with selective embedded JIT specialization. Technical report UCB/EECS-2010-23, EECS Department, University of California, Berkeley, March 2010

3. Lecture Notes in Computer Science;F Danford,2017

4. Gaska, B.J.: Parforpy: loop parallelism in python. Master’s thesis, University of Arizona (2017)

5. Gaska, B.J., Jothi, N., Mohammadi, M.S., Volk, K., Strout, M.M.: Handling nested parallelism, load imbalance, and early termination in an orbital analysis code. Technical report arXiv:1707.09668 , University of Arizona (2017)

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