We present a bit-vector algorithm for the optimal and economical placement of computations within flow graphs, which is as eficient as standard uni-directional analyses. The point of our algorithm is the decomposition of the hi-directional structure of the known placement algorithms into a sequence of a backward and a forward analysis, which directly implies the etllciency result. Moreover, the new compositional structure opens the algorithm for modification: two further uni-directional analysis components exclude any unnecessary code motion. This laziness of our algorithm minimizes the register pressure, which has drastic effects on the run-time behaviour of the optimized programs in practice, where an economical use of registers is essent...
Data-flow analysis computes its solutions over the paths in a control-flow graph. These paths---whet...
Science and Engineering advancements depend more and more on computational simulations. These simula...
AbstractThe “profitability” of code optimizations is defined in terms of a Markov model of program f...
An implementation-oriented algorithm for lazy code motion is presented that minimizes the number of ...
this paper, we emphasize the practicality of lazy code motion by giving explicit directions for its ...
. Bidirectional data flow analysis has become the standard technique for solving bit-vector based co...
AbstractBidirectional data flow analysis has become the standard technique for solving bit-vector-ba...
this paper we consider two elaborations of this algorithm, which are dealt with in Part I and Part I...
Code motion is well-known as a powerful technique for the optimization of sequential programs. It im...
Assignment motion (AM) and expression motion (EM) are the basis of powerful and at the first sight ...
The iterative algorithm is widely used to solve instances of data-flow analysis problems. The algori...
this paper focuses on lazy code motion as proposed by Knoop, Ruthing, and Steffen and modified by Dr...
Data-flow analysis is an integral part of any aggressive optimizing compiler. We propose a framewo...
Partial redundancy elimination is a common program optimization that attempts to improve execution t...
. This paper describes a general purpose program analysis that computes global control-flow and data...
Data-flow analysis computes its solutions over the paths in a control-flow graph. These paths---whet...
Science and Engineering advancements depend more and more on computational simulations. These simula...
AbstractThe “profitability” of code optimizations is defined in terms of a Markov model of program f...
An implementation-oriented algorithm for lazy code motion is presented that minimizes the number of ...
this paper, we emphasize the practicality of lazy code motion by giving explicit directions for its ...
. Bidirectional data flow analysis has become the standard technique for solving bit-vector based co...
AbstractBidirectional data flow analysis has become the standard technique for solving bit-vector-ba...
this paper we consider two elaborations of this algorithm, which are dealt with in Part I and Part I...
Code motion is well-known as a powerful technique for the optimization of sequential programs. It im...
Assignment motion (AM) and expression motion (EM) are the basis of powerful and at the first sight ...
The iterative algorithm is widely used to solve instances of data-flow analysis problems. The algori...
this paper focuses on lazy code motion as proposed by Knoop, Ruthing, and Steffen and modified by Dr...
Data-flow analysis is an integral part of any aggressive optimizing compiler. We propose a framewo...
Partial redundancy elimination is a common program optimization that attempts to improve execution t...
. This paper describes a general purpose program analysis that computes global control-flow and data...
Data-flow analysis computes its solutions over the paths in a control-flow graph. These paths---whet...
Science and Engineering advancements depend more and more on computational simulations. These simula...
AbstractThe “profitability” of code optimizations is defined in terms of a Markov model of program f...