Compiler design issues for embedded processors by Leupers R.

By Leupers R.

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When n is large or k is small the performance of this approach is limited by the locking overhead. On the other hand, when n is small or k is large the scalability is limited by coarse-grained locking. In contrast, as we will see, in CA trees k is dynamic and adapted at runtime to provide a good trade-off between scalability and locking overhead. The Leaplist [1] is a concurrent ordered set implementation with native support for range operations. Leaplist is based on a skip list data structure with fat nodes that can contain up to k elements.

Both files consist of two parts as meta-data and computation-space objects. 1 Checkpointing DISC model automates application-level checkpointing, alleviating the need for expensive system-level checkpointing that is normally used for programming models like MPI. Like any checkpointing-based approach, we assume the existence of a persistent storage where the checkpoint files can be written into. C. Kurt et al. Two important questions for application-level checkpointing are: (1) when should checkpoints be taken, and (2) what data structures will be needed to restart the computation in case of a failure, and therefore, need to be checkpointed.

In: Proceedings of the 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2010, pp. 1–11. IEEE Computer Society, Washington, DC (2010) 18. : ACR: Automatic checkpoint/restart for soft and hard error protection. In: Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis, SC 2013, pp. 7:1–7:12. ACM, New York (2013) 19. : Algorithm-based diskless checkpointing for fault tolerant matrix operations.

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