Uma heurística polinomial para escalonamento de loops em arquiteturas reconfiguráveis de grão grosso

• Autor(a) principal: Lopes, Vinícius Duarte
• Data de Publicação: 2013
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: LOCUS Repositório Institucional da UFV
• Texto Completo: http://locus.ufv.br/handle/123456789/2654
• topic: Hardware reconfigurável; Módulo sheduling; Arquiteturas reconfiguráveis; Reconfigurable hardware; Module sheduling; Reconfigurable Architectures; CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO

Nowadays reconfigurable architectures are attractive both in performance and low power consumption for applications with computing intensive loops. FPGAs are fine-grained architectures that offer the possibility of acceleration for these applications, however, the mapping process is typically time consuming and complex. Although Coarse Grained Reconfigurable Architectures (CGRAs) provide less flexibility than FPGAs, they has less complex mapping. The goal of this work is the runtime mapping of the dataflow graph, which represents a loop, on a reconfigurable architecture. The problem is NP-Complete and the heuristics found in the literature are not feasible for a dynamic implementation. We propose a heuristic solution that utilizes two distinct mechanisms: an architecture that simplifies the most of the mapping process, with minimal degradation in performance, and an algorithm to perform the mapping at run-time application. While previous solutions require seconds to mapping applications, the proposed solution requires only microseconds to generate near-optimal mappings. Accordingly, the presented solution enables the use of the Just-In-Time compilation, which can be used in dynamic contexts where various applications share a reconfigurable architecture with a possibility of change in composition of processing elements or scenarios with presence of hardware failures. Furthermore, we present an implementation model of the algorithm in hardware, which aims to be 90% faster when compared to the software Just-In-Time solution.