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» Parallelizing Functional Programs by Generalization
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ICFP
2007
ACM
16 years 5 months ago
Stream fusion: from lists to streams to nothing at all
This paper presents an automatic deforestation system, stream fusion, based on equational transformations, that fuses a wider range of functions than existing short-cut fusion sys...
Duncan Coutts, Roman Leshchinskiy, Don Stewart
HASKELL
2009
ACM
15 years 11 months ago
Roll your own test bed for embedded real-time protocols: a haskell experience
We present by example a new application domain for functional languages: emulators for embedded real-time protocols. As a casestudy, we implement a simple emulator for the Biphase...
Lee Pike, Geoffrey M. Brown, Alwyn Goodloe
AMAST
2006
Springer
15 years 8 months ago
The Substitution Vanishes
Abstract. Accumulation techniques were invented to transform functional programs, which intensively use append functions (like inefficient list reversal), into more efficient progr...
Armin Kühnemann, Andreas Maletti
FPCA
1995
15 years 8 months ago
Bananas in Space: Extending Fold and Unfold to Exponential Types
Fold and unfold are general purpose functionals for processing and constructing lists. By using the categorical approach of modelling recursive datatypes as fixed points of funct...
Erik Meijer, Graham Hutton
KDD
2009
ACM
198views Data Mining» more  KDD 2009»
16 years 5 months ago
Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data
All Netflix Prize algorithms proposed so far are prohibitively costly for large-scale production systems. In this paper, we describe an efficient dataflow implementation of a coll...
Srivatsava Daruru, Nena M. Marin, Matt Walker, Joy...