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Adaptive optimization

Known as: Adaptive optimizer, Deoptimization 
Adaptive optimization is a technique in computer science that performs dynamic recompilation of portions of a program based on the current execution… 
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Related topics

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16 relations
Ahead-of-time compilationComparison of C Sharp and JavaComputer programComputer science

Papers overview

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2014
2014
Early Experience on Transactional Execution of Java TM Programs Using Intel R © Transactional Synchronization Extensions
This paper applies Intel R © Transactional Synchronization Extensions (Intel R © TSX) to elide Java monitor locks. By utilizing… 
2013
2013
Effective heating for tumors with thermally significant blood vessels during hyperthermia treatment
2010
2010
Shape optimization of a PMLSM using Kriging and genetic algorithm
A low cogging force permanent magnet linear synchronous motor (PMLSM) having 9 pole 10 slot structure is presented in this paper… 
2010
2010
Adaptive data-aware utility-based scheduling in resource-constrained systems
2009
2009
Optimal subcarrier and bit allocation techniques for cognitive radio networks using integer linear programming
We propose an adaptive radio resource allocation algorithm for cognitive radio underlay networks. The proposed algorithm… 
2005
2005
Sentinel PRE: hoisting beyond exception dependency with dynamic deoptimization
Many excepting instructions cannot be removed by existing partial redundancy elimination (PRE) algorithms because the ordering… 
1999
1999
Perpetual Adaptation of Software to Hardware: An Extensible Architecture for Providing Code Optimization as a Central System Service
We present an open architecture for just-in-time code generation and dynamic code optimization that is flexible, customizable… 
1998
1998
Wavelet Packet Decomposition And Best Basis Selection On Massively Parallel SIMD Arrays
In this work we discuss algorithms for 2D wavelet packet decomposition and best basis selection on massively parallel 2D-mesh… 
1992
1992
Debugging optimized code with dynamic deoptimization
SELF's debugging system provides complete source-level debugging (expected behavior) with globally optimized code. It shields the… 
1991
1991
Adaptive Optimization of Neural Algorithms
Learning neural algorithms are generally very simple, but the convergence is not very fast and robust. In this paper we address… 
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