<--- Back to Details
First PageDocument Content
Compiler optimizations / Machine code / Computer programming / Instruction set architectures / Programming language implementation / Peephole optimization / Code generation / ARM architecture / Branch / Computing / Software engineering / Assembly languages
Date: 2005-06-25 19:47:49
Compiler optimizations
Machine code
Computer programming
Instruction set architectures
Programming language implementation
Peephole optimization
Code generation
ARM architecture
Branch
Computing
Software engineering
Assembly languages

A Compact, Machine-Independent Peephole Optimizer

Add to Reading List

Source URL: www.well.com

Download Document from Source Website

File Size: 516,08 KB

Share Document on Facebook

Similar Documents

Computing / Computer programming / Software engineering / Operator theory / Fortran / OpenMP / Parallel computing / Hermitian adjoint / Adjoint

Towards Self-Verification in Finite Difference Code Generation Jan H¨ uckelheim1 , Ziqing Luo2 , Fabio Luporini1 ,Navjot Kukreja1 , Michael Lange1 , Gerard Gorman1 , Stephen Siegel2 , Matthew Dwyer3 , Paul Hovland4

DocID: 1xU2H - View Document

Computer programming / Declarative programming / Software engineering / Functional programming / Type theory / Predicate logic / Monad / Algebraic data type / Conditional / Expression / Quantifier / Standard ML

Pattern Matches in HOL: A New Representation and Improved Code Generation Thomas Tuerk1 , Magnus O. Myreen2,3 , and Ramana Kumar3 2 1

DocID: 1xTMP - View Document

Automatic Documentation Generation via Source Code Summarization of Method Context Paul W. McBurney and Collin McMillan Department of Computer Science and Engineering University of Notre Dame Notre Dame, IN, USA

DocID: 1vjhq - View Document

EUROTeV-Memo-2005-xxx-1 HTGEN - Halo and Tail Generator Task Manager: H. Burkhardt (CERN) The objective is to develop and collect information and code on halo and tail generation relevant for linear colliders. This wor

DocID: 1v53n - View Document

Code Generation for Embedded Convex Optimization Jacob Mattingley Stanford University October 2010

DocID: 1uZJR - View Document