By Robert Metzger
ISBN-10: 0262133687
ISBN-13: 9780262133685
Parallel computation turns into the norm within the coming many years. regrettably, advances in parallel have some distance outpaced parallel purposes of software program. There are at the moment methods to utilising parallelism to purposes. One is to write down thoroughly new purposes in new languages. yet leaving behind purposes that paintings is unacceptable to so much nonacademic clients of high-performance pcs. the opposite procedure is to transform latest functions to a parallel shape. this is performed manually or immediately. Even partial luck in doing the task immediately has noticeable monetary advantages.This booklet describes a essentially new theoretical framework for locating terrible algorithms in an software application and exchanging them with ones that parallelize the code.
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Additional info for Automatic Algorithm Recognition and Replacement: A New Approach to Program Optimization
Sample text
They see two parts of the program understanding problem: due to the fact that I contain it. Based on their ea The most promising flow-relationships to this to be a hybrid of We evaluate Woe Plan matching: Given a single plan, find all instances of the plan in the internal representation of the program. Plan ordering: Given a hierarchically-organized plan library, determine the order of plans to try to find. Their approach to the first part is to model it as a single Constraint Satisfaction Problem, which they refer to as MAP-C%!
Bhansali and Hagemeister’s proposal The purpose of Bhansali and Hagemeister’s work (3) (4) is to analyze the semantics of a program in terms of domain-specific concepts. While the goal is replacement, the proposed system will be interactive. The system will identify potential parallel code segments, while the user is responsible for selecting the parallelism and performing the replacement. This effort organizes its database in terms of base, intermediate, and domain concept patterns. Base patterns are related directly to the code being analyzed.
L . Correctness: Although PARAMAT performs replacements, we were unable to identify any discussion of the problem of performing correct replacements of multiple statements in his papers. Scalability: The system visits each node only once, and the processing time is said to be dominated by the linear tree traversal. This would indicate that it should scale better than most of the efforts surveyed here. There is no explicit discussion of complexity in Kessler’s papers. Bhansali and Hagemeister’s proposal The purpose of Bhansali and Hagemeister’s work (3) (4) is to analyze the semantics of a program in terms of domain-specific concepts.
Automatic Algorithm Recognition and Replacement: A New Approach to Program Optimization by Robert Metzger
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