一种用于图像处理管道优化的有效融合和瓦片大小模型

Q1 Computer Science

ACM Sigplan Notices Pub Date : 2018-02-10 DOI:10.1145/3200691.3178507

JangdaAbhinav, BondhugulaUday

引用次数: 9

摘要

在通用语言和领域特定语言（DSL）编译器中，用于融合循环嵌套的有效模型仍然是一个挑战。困难往往来自于组合推理。。。

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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An effective fusion and tile size model for optimizing image processing pipelines

Effective models for fusion of loop nests continue to remain a challenge in both general-purpose and domain-specific language (DSL) compilers. The difficulty often arises from the combinatorial exp...

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来源期刊

ACM Sigplan Notices 工程技术-计算机：软件工程

CiteScore

4.90

自引率

0.00%

发文量

审稿时长

2-4 weeks

期刊介绍： The ACM Special Interest Group on Programming Languages explores programming language concepts and tools, focusing on design, implementation, practice, and theory. Its members are programming language developers, educators, implementers, researchers, theoreticians, and users. SIGPLAN sponsors several major annual conferences, including the Symposium on Principles of Programming Languages (POPL), the Symposium on Principles and Practice of Parallel Programming (PPoPP), the Conference on Programming Language Design and Implementation (PLDI), the International Conference on Functional Programming (ICFP), the International Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA), as well as more than a dozen other events of either smaller size or in-cooperation with other SIGs. The monthly "ACM SIGPLAN Notices" publishes proceedings of selected sponsored events and an annual report on SIGPLAN activities. Members receive discounts on conference registrations and free access to ACM SIGPLAN publications in the ACM Digital Library. SIGPLAN recognizes significant research and service contributions of individuals with a variety of awards, supports current members through the Professional Activities Committee, and encourages future programming language enthusiasts with frequent Programming Languages Mentoring Workshops (PLMW).