The Reduceron reconfigured and re-evaluated-Reference-Cited by-同舟云学术

The Reduceron reconfigured and re-evaluated

Published:2012-07-10 Issue:4-5 Volume:22 Page:574-613
ISSN:0956-7968
Container-title:Journal of Functional Programming
language:en
Short-container-title:J. Funct. Prog.

Author:

NAYLOR MATTHEW,RUNCIMAN COLIN

Abstract

AbstractA new version of a special-purpose processor for running lazy functional programs is presented. This processor – the Reduceron – exploits parallel memories and dynamic analyses to increase evaluation speed, and is implemented using reconfigurable hardware. Compared to a more conventional functional language implementation targeting a standard RISC processor running on the same reconfigurable hardware, the Reduceron offers a significant improvement in run-time performance.

Publisher

Cambridge University Press (CUP)

Subject

Software

Reference30 articles.

1. Dijkstra E. W. (1980) A mild variant of Combinatory Logic [online]. EWD735. Available at: http://www.cs.utexas.edu/users/EWD/ewd07xx/EWD735.PDF. Accessed 26 June 2012.

2. The spineless G-machine

3. Naylor M. (2009b) Design of the Octostack, Reduceron memo 27 [online]. Available at: http://www.cs.york.ac.uk/fp/reduceron/memos/Memo27.lhs.

4. Longbottom R. (November 2009) Dhrystone Benchmark Results On PCs [online]. Available at: http://www.roylongbottom.org.uk/dhrystone%20results.htm. Accessed 26 June 2012.

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Cloaca: A Concurrent Hardware Garbage Collector for Non-strict Functional Languages;Proceedings of the 17th ACM SIGPLAN International Haskell Symposium;2024-08-28

2. Heron: Modern Hardware Graph Reduction;The 35th Symposium on Implementation and Application of Functional Languages;2023-08-29

3. High-level Synthesis based on Parallel Design Patterns using a Functional Language;Proceedings of the 8th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies;2017-06-07

4. Synchronous digital circuits as functional programs;ACM Computing Surveys;2013-11