QueueCore处理器的队列寄存器文件优化算法

A. Canedo, B. Abderazek, M. Sowa
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引用次数: 13

摘要

队列计算模型以其短指令和高指令级并行性的特点,为高性能嵌入式计算提供了一个有吸引力的替代方案。基于队列的处理器使用FIFO队列通过位于队列头部和尾部的硬件指针来读写操作数。队列长度是计算期间存储在头指针和尾指针之间的元素数量。我们发现,在整型应用程序中,95%的语句需要的队列长度小于32个单词。剩下的5%需要更大的队列长度,最多可达230个队列字。在本文中,我们提出了一种编译器技术来优化需要大量队列的饥饿语句的队列利用率。我们表明,对于SPEC CINT95基准测试,我们的技术在不降低并行性的情况下优化了队列长度。然而,我们的优化的代价是代码大小略有增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Queue Register File Optimization Algorithm for QueueCore Processor
The queue computation model offers an attractive alternative for high-performance embedded computing given its characteristics of short instructions and high instruction level parallelism. A queue-based processor uses a FIFO queue to read and write operands through hardware pointers located at the head and tail of the queue. Queue length is the number of elements stored between the head and the tail pointers during computations. We have found that 95% of the statements in integer applications require a queue length of less than 32 words. The remaining 5% requires larger queue length sizes up to 230 queue words. In this paper we propose a compiler technique to optimize the queue utilization for the hungry statements that require a large amount of queue. We show that for SPEC CINT95 benchmarks, our technique optimizes the queue length without decreasing parallelism. However, our optimization has a penalty of a slight increase in code size.
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