An algorithm for transforming sequential programs into equivalent parallel programs is presented. The method concentrates on finding loops whose separate iterations can be run in parallel without syn-chronization. Although a simple version of the method can be shown to be optimal, the problem of generating optimal code when loop interchange is employed is shown to be intractable. These methods are implemented in an experimental translation system developed at Rice University. 1
In this paper, we prove that the data-driven parallelization technique, which compiles sequential pr...
In order to utilize parallel computers, four approaches, broadly speaking, to the provision of paral...
The goal of parallelizing, or restructuring, compilers is to detect and exploit parallelism in seque...
Parallelizing compilers have emerged to be a useful tool in the development of parallel programs. Mo...
Abstract: This paper describes a new technique for source-source transformation of sequential progra...
This paper presents an overview of automatic program parallelization techniques. It covers dependenc...
Developing efficient programs for many of the current parallel computers is not easy due to the arch...
We present a transformational system for extracting parallelism from programs. Our transformations g...
Modern computers will increasingly rely on parallelism to achieve high computation rates. Techniques...
102 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1997.We also describe how the tool...
Divide--and--conquer algorithms obtain the solution to a given problem by dividing it into subproble...
Creating efficient parallel software can be a complicated and time consuming task, as there are many...
Divide{and{conquer algorithms obtain the solution to a given problem by dividing it into subproblems...
A common workflow for developing parallel software is as follows: 1) start with a sequential program...
Divide-and-conquer algorithms obtain the solution to a given problem by dividing it into subproblems...
In this paper, we prove that the data-driven parallelization technique, which compiles sequential pr...
In order to utilize parallel computers, four approaches, broadly speaking, to the provision of paral...
The goal of parallelizing, or restructuring, compilers is to detect and exploit parallelism in seque...
Parallelizing compilers have emerged to be a useful tool in the development of parallel programs. Mo...
Abstract: This paper describes a new technique for source-source transformation of sequential progra...
This paper presents an overview of automatic program parallelization techniques. It covers dependenc...
Developing efficient programs for many of the current parallel computers is not easy due to the arch...
We present a transformational system for extracting parallelism from programs. Our transformations g...
Modern computers will increasingly rely on parallelism to achieve high computation rates. Techniques...
102 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1997.We also describe how the tool...
Divide--and--conquer algorithms obtain the solution to a given problem by dividing it into subproble...
Creating efficient parallel software can be a complicated and time consuming task, as there are many...
Divide{and{conquer algorithms obtain the solution to a given problem by dividing it into subproblems...
A common workflow for developing parallel software is as follows: 1) start with a sequential program...
Divide-and-conquer algorithms obtain the solution to a given problem by dividing it into subproblems...
In this paper, we prove that the data-driven parallelization technique, which compiles sequential pr...
In order to utilize parallel computers, four approaches, broadly speaking, to the provision of paral...
The goal of parallelizing, or restructuring, compilers is to detect and exploit parallelism in seque...