Timescale functions for parallel memory allocation

Author:

Li Pengcheng1,Luo Hao1,Ding Chen2

Affiliation:

1. Google, USA

2. University of Rochester, USA

Publisher

ACM Press

Reference55 articles.

1. Martin Aigner, Christoph M. Kirsch, Michael Lippautz, and Ana Sokolova. 2015. Fast, multicore-scalable, low-fragmentation memory allocation through large virtual memory and global data structures. In Proceedings of the 2015 ACM SIGPLAN International Conference on Object-Oriented Programming, Systems, Languages, and Applications, OOPSLA 2015, part of SPLASH 2015, Pittsburgh, PA, USA, October 25-30, 2015.

2. Matthew Arnold and Barbara G. Ryder. 2001. A Framework for Reducing the Cost of Instrumented Code. In Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation. Snowbird, Utah, 168–179.

3. Alexandro Baldassin, Edson Borin, and Guido Araujo. 2015. Performance Implications of Dynamic Memory Allocators on Transactional Memory Systems. In Proceedings of the 20th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming.

4. David A. Barrett and Benjamin G. Zorn. 1993. Using Lifetime Predictors to Improve Memory Allocation Performance. In Proceedings of the ACM SIGPLAN 1993 Conference on Programming Language Design and Implementation.

5. Emery D. Berger, Kathryn S. McKinley, Robert D. Blumofe, and Paul R. Wilson. 2000. Hoard: a scalable memory allocator for multithreaded applications. In Proceedings of the International Conference on Architectural Support for Programming Languages and Operating Systems. 117–128.

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