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Loop optimization

Known as: Loop optimizations, Loop transformation 
In compiler theory, loop optimization is the process of the increasing execution speed and reducing the overheads associated of loops. It plays an… 
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Related topics

Related topics

37 relations
Algorithmic efficiencyAliasing (computing)Assembly languageAutomatic parallelization

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Noncausal FIR Zames-Falb Multiplier Search for Exponential Convergence Rate
In the existing literature, there are two approaches to estimate tighter bounds of the exponential convergence rate of stable… 
2012
2012
Challenges and opportunities in immersive vehicular sensing: Lessons from urban deployments
2011
2011
Fast molecular electrostatics algorithms on GPUs
2010
2010
Energy-Aware Loop Parallelism Maximization for Multi-core DSP Architectures
With the advance of semiconductor, multi-core architecture is inevitable in today's embedded system design. Nested loops are… 
2009
2009
Parallel loop generation and scheduling
Loop tiling is an efficient loop transformation, mainly applied to detect coarse-grained parallelism in loops. It is a difficult… 
2005
2005
Parallelization of the AES Algorithm
In this paper we present the parallelization process of the AES algorithm (Rijndael) along with the description of exploited… 
Highly Cited
2004
Highly Cited
2004
On-line genetic design of anti-windup unstructured controllers for electric drives with variable load
In this paper, we describe an evolutionary design procedure for discrete-time anti-windup controller for electrical drives. Using… 
1999
1999
Stack-splitting : A Simple Technique for Implementing Or-parallelismand And-parallelism on Distributed Machines 1
And then Krishna held up a twig, pointed it towards Bhima, and split it through the middle. Abstract: We study the problem of… 
1997
1997
Unimodular Transformations of Non-Perfectly Nested Loops
1994
1994
A PDG-based Tool and its Use in Analyzing Program Control Dependences
This paper explores the potential of a program representation called the program dependence graph (PDG) for representing and… 
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