✍ Scribed by Ricardo Baeza-Yates; René Schott
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
We present a distributed algorithm for implementing a-~ search on a tree of processors. Each processor is an independent computer with its own memory and is connected by communication lines to each of its nearest neighbors. Measurements of the algorithm's performance on the Arachne distributed opera
We present methods that can dramatically improve numerical consistency for parallel calculations across varying numbers of processors. By calculating global sums with enhanced precision techniques based on Kahan or Knuth summations, the consistency of the numerical results can be greatly improved wi
rithm given by Cole [3] runs in O(log n log\* n) time on an EREW PRAM and in O(log n log\* n/log log n) time on a CRCW PRAM. Both algorithms perform O(n) operations. However, not much work has been done on parallel algorithms for constrained selection. The sequential algorithm in [5] is parallelizab