This document presents an implementation of several types of value numbering within the Massively Scalar Compiler Project. Although the name was originally applied to a method for improving single basic blocks, it is now used to describe a collection of optimizations that vary in power and scope. The primary objective of value numbering is to assign an identifying number (a value number) to each expression in a particular way. Two expressions must have the same number if the compiler can prove they are equal for all possible program inputs. These numbers can then be used to find redundant computations and remove them. There are two other objectives accomplished by certain forms of value numbering: 1. To recognize certain algebraic identitie...
AbstractWe describe a polynomial-time algorithm for global value numbering, which is the problem of ...
Abstract: We present second-order value numbering, a new optimization method for suppressing redunda...
Symbolic analysis is an enabling technique that improves the effectiveness of compiler optimizations...
This paper describes different techniques for assigning numbers and handling redundancies. It includ...
Global value numbering (GVN) is an important static analysis technique both for optimizing compilers...
This document provides an implementation of the global value numbering algorithm described by Alpern...
Value-driven redundancy elimination is a combination of value numbering and code motion. Value numbe...
Global value numbering (GVN) is an important static analysis technique both for optimizing compilers...
This work was also published as a Rice University thesis/dissertation: http://hdl.handle.net/1911/16...
Abstract. Detecting whether dierent variables have the same value at a program point is generally un...
Abstract. We describe a polynomial-time algorithm for global value numbering, which is the problem o...
When analyzing programs for value recomputation, one faces the problem of naming the value that flow...
As memory system performance becomes an increasingly dominant factor in overall system performance, ...
Variables and instructions that have invariant or predictable values at run-time, but cannot be iden...
We present second-order value numbering, a new optimization method for suppressing redundancy, in a ...
AbstractWe describe a polynomial-time algorithm for global value numbering, which is the problem of ...
Abstract: We present second-order value numbering, a new optimization method for suppressing redunda...
Symbolic analysis is an enabling technique that improves the effectiveness of compiler optimizations...
This paper describes different techniques for assigning numbers and handling redundancies. It includ...
Global value numbering (GVN) is an important static analysis technique both for optimizing compilers...
This document provides an implementation of the global value numbering algorithm described by Alpern...
Value-driven redundancy elimination is a combination of value numbering and code motion. Value numbe...
Global value numbering (GVN) is an important static analysis technique both for optimizing compilers...
This work was also published as a Rice University thesis/dissertation: http://hdl.handle.net/1911/16...
Abstract. Detecting whether dierent variables have the same value at a program point is generally un...
Abstract. We describe a polynomial-time algorithm for global value numbering, which is the problem o...
When analyzing programs for value recomputation, one faces the problem of naming the value that flow...
As memory system performance becomes an increasingly dominant factor in overall system performance, ...
Variables and instructions that have invariant or predictable values at run-time, but cannot be iden...
We present second-order value numbering, a new optimization method for suppressing redundancy, in a ...
AbstractWe describe a polynomial-time algorithm for global value numbering, which is the problem of ...
Abstract: We present second-order value numbering, a new optimization method for suppressing redunda...
Symbolic analysis is an enabling technique that improves the effectiveness of compiler optimizations...