Weakest Precondition Synthesis for Compiler Optimizations

2014 ◽  
pp. 203-221 ◽  
Author(s):  
Nuno P. Lopes ◽  
José Monteiro
Keyword(s):  
Compiler Optimizations ◽  
Weakest Precondition

Evaluating Compiler Optimizations for Fortran D

1994 ◽  
Vol 21 (1) ◽  
pp. 27-45 ◽  
Author(s):  
S. Hiranandani ◽  
K. Kennedy ◽  
C.W. Tseng
Keyword(s):  
Compiler Optimizations ◽  
Fortran D

scholarly journals Compiler optimizations for code density of variable length instructions

2014 ◽  
Author(s):  
Heikki Kultala ◽  
Timo Viitanen ◽  
Pekka Jaaskelainen ◽  
Janne Helkala ◽  
Jarmo Takala
Keyword(s):  
Variable Length ◽  
Compiler Optimizations ◽  
Code Density

A Case Study on Compiler Optimizations for the Intel® CoreTM 2 Duo Processor

2008 ◽  
Vol 36 (6) ◽  
pp. 571-591 ◽  
Author(s):  
Aart J. C. Bik ◽  
David L. Kreitzer ◽  
Xinmin Tian
Keyword(s):  
Compiler Optimizations

scholarly journals Quantum weakest preconditions

2006 ◽  
Vol 16 (3) ◽  
pp. 429-451 ◽  
Author(s):  
ELLIE D'HONDT ◽  
PRAKASH PANANGADEN
Keyword(s):  
Quantum Computation ◽  
Representation Theorem ◽  
Completely Positive Maps ◽  
Completely Positive ◽  
Weakest Precondition ◽  
Positive Maps ◽  
Weakest Preconditions ◽  
Predicate Transformer ◽  
Usual State ◽  
Stone Type

We develop a notion of predicate transformer and, in particular, the weakest precondition, appropriate for quantum computation. We show that there is a Stone-type duality between the usual state-transformer semantics and the weakest precondition semantics. Rather than trying to reduce quantum computation to probabilistic programming, we develop a notion that is directly taken from concepts used in quantum computation. The proof that weakest preconditions exist for completely positive maps follows immediately from the Kraus representation theorem. As an example, we give the semantics of Selinger's language in terms of our weakest preconditions. We also cover some specific situations and exhibit an interesting link with stabilisers.

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