Discussed are how loop level parallelism is detected in a nonprocedural dataflow program, and how a procedural program with concurrent loops is scheduled. Also discussed is a program restructuring technique which may be applied to recursive equations so that concurrent loops may be generated for a seemingly iterative computation. A compiler which generates C code for the language described below has been implemented. The scheduling component of the compiler and the restructuring transformation are described
Parallelizing compilers promise to exploit the parallelism available in a given program, particularl...
Loops are the main source of parallelism in scientific programs. Hence, several techniques were dev...
[[abstract]]The main function of parallelizing compilers is to analyze sequential programs, in parti...
The term "dataflow" generally encompasses three distinct aspects of computation - a data-driven mode...
The class of problems that can be effectively compiled by parallelizing compilers is discussed. This...
EASY-FLOW, a very high-level data flow language, is introduced for the purpose of adapting programs ...
Developing efficient programs for many of the current parallel computers is not easy due to the arch...
The goal of parallelizing, or restructuring, compilers is to detect and exploit parallelism in seque...
Uncountable loops (such as while loops in C) and if-conditions are some of the most common construct...
International audienceIn this paper, we present a compiler extension for applications targeting high...
Data flow is a mode of parallel computation in which parallelism in a program can be exploited at th...
Functional dataflow programming languages are designed to create parallel portable programs. The sou...
Parallel processing has been used to increase performance of computing systems for the past several ...
Dataflow machines can "unravel" loops automatically so that many iterations of a loop can execute i...
Current parallelizing compilers cannot identify a significant fraction of parallelizable loops becau...
Parallelizing compilers promise to exploit the parallelism available in a given program, particularl...
Loops are the main source of parallelism in scientific programs. Hence, several techniques were dev...
[[abstract]]The main function of parallelizing compilers is to analyze sequential programs, in parti...
The term "dataflow" generally encompasses three distinct aspects of computation - a data-driven mode...
The class of problems that can be effectively compiled by parallelizing compilers is discussed. This...
EASY-FLOW, a very high-level data flow language, is introduced for the purpose of adapting programs ...
Developing efficient programs for many of the current parallel computers is not easy due to the arch...
The goal of parallelizing, or restructuring, compilers is to detect and exploit parallelism in seque...
Uncountable loops (such as while loops in C) and if-conditions are some of the most common construct...
International audienceIn this paper, we present a compiler extension for applications targeting high...
Data flow is a mode of parallel computation in which parallelism in a program can be exploited at th...
Functional dataflow programming languages are designed to create parallel portable programs. The sou...
Parallel processing has been used to increase performance of computing systems for the past several ...
Dataflow machines can "unravel" loops automatically so that many iterations of a loop can execute i...
Current parallelizing compilers cannot identify a significant fraction of parallelizable loops becau...
Parallelizing compilers promise to exploit the parallelism available in a given program, particularl...
Loops are the main source of parallelism in scientific programs. Hence, several techniques were dev...
[[abstract]]The main function of parallelizing compilers is to analyze sequential programs, in parti...