Transformation-Based Parallelization of Request-Processing Applications

Abstract. Multicore, multithreaded processors are rapidly becoming the platform of choice for high-throughput request-processing applications (RPAs). We refer to this class of modern parallel platforms as multi- systems. In this paper, we describe the design and implementation of Lagniappe, a translator that simplifies RPA development by transforming portable models of RPAs to highthroughput multi- executables. We demonstrate Lagniappe’s effectiveness with a pair of stateful RPA case studies.

• Type: Journal
• Year: 2010
• Where: MODELS
• Authors: Taylor L. Riché, Harrick M. Vin, Don S. Batory
• Keywords: Lagniappe’s Effectiveness, MODELS 2010, Modern Parallel Platforms, Natural Language Processing, Stateful Rpa Case