不规则码的高效复算子

J. Sampson, Ganesh Venkatesh, Nathan Goulding, Saturnino Garcia, S. Swanson, M. Taylor
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引用次数: 41

摘要

复杂的“胖操作符”是提高专用硬件效率的重要因素。本文介绍了两种新技术,用于构造具有任意和不规则数据和内存依赖关系的高效fat运算符,该运算符具有多达数十个操作。这些技术侧重于最小化关键路径长度和负载使用延迟,这是不规则计算的关键问题。选择性去管道化(SDP)是一种管道化技术,它允许fat操作符包含多个可能相互依赖的内存操作。SDP允许内存请求以比数据路径更快的时钟速率运行,从而节省数据路径的功耗,提高内存性能。缓存是嵌入在数据路径中的小型、定制的分布式L0缓存,用于减少负载使用延迟。我们将这些技术应用于保护核心(c-core),以生产加速不规则代码区域的协处理器,同时仍提供卓越的能源效率。平均而言,这些增强的c核比c核减少了2倍的EDP和35%的面积。它们比通用处理器快2.5倍,对于各种不规则应用(包括几个SPECINT基准测试),能耗降低高达8倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient complex operators for irregular codes
Complex “fat operators” are important contributors to the efficiency of specialized hardware. This paper introduces two new techniques for constructing efficient fat operators featuring up to dozens of operations with arbitrary and irregular data and memory dependencies. These techniques focus on minimizing critical path length and load-use delay, which are key concerns for irregular computations. Selective Depipelining(SDP) is a pipelining technique that allows fat operators containing several, possibly dependent, memory operations. SDP allows memory requests to operate at a faster clock rate than the datapath, saving power in the datapath and improving memory performance. Cachelets are small, customized, distributed L0 caches embedded in the datapath to reduce load-use latency. We apply these techniques to Conservation Cores(c-cores) to produce coprocessors that accelerate irregular code regions while still providing superior energy efficiency. On average, these enhanced c-cores reduce EDP by 2× and area by 35% relative to c-cores. They are up to 2.5× faster than a general-purpose processor and reduce energy consumption by up to 8× for a variety of irregular applications including several SPECINT benchmarks.
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