; A dissertation submitted to The Johns Hopkins University in conformity with the; requirement for the degree Doctor of Philosophy.; Acknowledgements
SVM HeaderParse 0.2
; Baltimore, Maryland; 1994
SVM HeaderParse 0.1
For many years, there has been tremendous interest in methods to make computation more reliable. In this thesis, we explore various techniques that can be implemented in software to help insure the correctness of the output of a program. The basic tool we use is a generalization of the notion of a program checker called a certifier. A certifier is given intermediate computations from a program computing an answer in an effort to simplify the checking process. The certifier is constructed in such a way that even if the intermediate computations it is given are incorrect, the certifier will never accept an incorrect output. We have constructed certifiers and program checkers for several common abstract data types including mergeable priority queues and splittable priority queues. We have also constructed a certifier for an abstract data type that allows approximate nearest neighbor queries to be performed efficiently. We have implemented and experimentally evaluated some of these algorithms. In the parallel domain, we have developed both general and problem specific techniques for certifying parallel computation. Lastly, we have formally proven correct a certifier for sorting, and have analyzed the advantages of using certifiers in conjunction with formal program verification techniques. This work forms a thesis presented by Jonathan D. Bright to the faculty of the Department of Computer Science, at the Johns Hopkins University, in partial fulfillment of the requirements for the degree of Doctor of Philosophy, under the supervision of Professor Gregory F. Sullivan. iii Acknowledgements I would like to thank my advisor, Gregory Sullivan, for giving me an excellent research topic for my thesis, and for vastly improving my writing skills during my stay at Hopkins. Also, ...