β Scribed by Eddy Fromentin; Claude Jard; Guy-Vincent Jourdan; Michel Raynal
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
## Abstract We describe the Dynamic Distributable Decorrelation Algorithm (DDDA) which efficiently calculates the true statistical error of an expectation value obtained from serially correlated data βonβtheβfly,β as the calculation progresses. DDDA is an improvement on the FlyvbjergβPetersen renor
Timestamping protocols are used to capture the causal order or the concurrency of events in asynchronous distributed computations. In this paper we give an answer to the open problem issued by Schwarz and Mattern [Distrib. Comput. 7 (3) (1994) 149-174] about the minimum amount of information managed
Compile-time scheduling is one approach to extract parallelism which has proved effective when the execution behavior is predictable. Unfortunately, the performance of most priority-based scheduling algorithms is computation dependent. Scheduling based on the concept of earliest-startable-task produ