The NAPA adaptive processing architecture

Charlé R. Rupp, Mark Landguth, T. Garverick, Edson Gomersall, H. Holt, J. Arnold, M. Gokhale
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引用次数: 168

Abstract

The National Adaptive Processing Architecture (NAPA) is a major effort to integrate the resources needed to develop teraops class computing systems based on the principles of adaptive computing. The primary goals for this effort include: (1) the development of an example NAPA component which achieves an order of magnitude cost/performance improvement compared to traditional FPGA based systems, (2) the creation of a rich but effective application development environment for NAPA systems based on the ideas of compile time functional partitioning and (3) significantly improve the base infrastructure for effective research in reconfigurable computing. This paper emphasizes the technical aspects of the architecture to achieve the first goal while illustrating key architectural concepts motivated by the second and third goals.
NAPA自适应处理体系结构
国家自适应处理体系结构(NAPA)是整合开发基于自适应计算原理的teraops级计算系统所需资源的主要努力。这项工作的主要目标包括:(1)开发一个示例NAPA组件,与传统的基于FPGA的系统相比,它实现了一个数量级的成本/性能改进;(2)基于编译时功能分区的思想,为NAPA系统创建一个丰富而有效的应用程序开发环境;(3)显著改善可重构计算有效研究的基础设施。本文强调了实现第一个目标的体系结构的技术方面,同时说明了由第二个和第三个目标驱动的关键体系结构概念。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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