One of the main tasks of a programmer when writing parallel programs is to identify the parts that are to be executed in parallel. This process is very time consuming and error prone. As an alternative, one can write its sequential version and then transform it into the parallel form by a parallelizing compiler. The loops in the sequential programs offer the best opportunities for parallelism. This paper presents the transformation techniques that can be applied to sequential programs, especially the loops, in order to parallelize them. These techniques are based on the Bernstein sets
Parallel programs are more difficult to develop and reason about than sequential programs. There are...
We present a transformational system for extracting parallelism from programs. Our transformations g...
Developing efficient programs for many of the current parallel computers is not easy due to the arch...
Existing compilers often fail to parallelize sequential code, even when a program can be manually...
Parallelizing compilers have emerged to be a useful tool in the development of parallel programs. Mo...
Modern computers will increasingly rely on parallelism to achieve high computation rates. Techniques...
The paper extends the framework of linear loop transformations adding a new nonlinear step at the tr...
ABSTRACT In the multi-core era, programmers need to resort to parallelism if they want to improve pr...
Abstract. Parallel programming continues to be difficult, despite substantial and ongoing research a...
The paper extends the framework of linear loop transformations adding a new nonlinear step at the tr...
AbstractWe present a simple and uniform transformational system for extracting parallelism from prog...
Parallel programming continues to be difficult and error-prone, whether starting from specifications...
Parallel programs are more difficult to develop and reason about than sequential programs. There are...
Abstract. Parallel programming continues to be difficult and error-prone, whether starting from spec...
For several decades, programmers have relied onMooreâ s Law to improve the performance of their sof...
Parallel programs are more difficult to develop and reason about than sequential programs. There are...
We present a transformational system for extracting parallelism from programs. Our transformations g...
Developing efficient programs for many of the current parallel computers is not easy due to the arch...
Existing compilers often fail to parallelize sequential code, even when a program can be manually...
Parallelizing compilers have emerged to be a useful tool in the development of parallel programs. Mo...
Modern computers will increasingly rely on parallelism to achieve high computation rates. Techniques...
The paper extends the framework of linear loop transformations adding a new nonlinear step at the tr...
ABSTRACT In the multi-core era, programmers need to resort to parallelism if they want to improve pr...
Abstract. Parallel programming continues to be difficult, despite substantial and ongoing research a...
The paper extends the framework of linear loop transformations adding a new nonlinear step at the tr...
AbstractWe present a simple and uniform transformational system for extracting parallelism from prog...
Parallel programming continues to be difficult and error-prone, whether starting from specifications...
Parallel programs are more difficult to develop and reason about than sequential programs. There are...
Abstract. Parallel programming continues to be difficult and error-prone, whether starting from spec...
For several decades, programmers have relied onMooreâ s Law to improve the performance of their sof...
Parallel programs are more difficult to develop and reason about than sequential programs. There are...
We present a transformational system for extracting parallelism from programs. Our transformations g...
Developing efficient programs for many of the current parallel computers is not easy due to the arch...