In this paper, we introduce a technique to parallelize nested loops at the fine grain level. It is a generalization of Perfect Pipelining which was developed to parallelize a single-nested loop at the fine grain level. Previous techniques that can parallelize nested loops, e.g. DOACROSS or Wavefront method, mostly belong to the coarse grain approach. We explain our method, contrast it with the coarse grain techniques, and show the benefits of parallelizing nested loops at the fine grain level
Nested loops represent a significant portion of application runtime in multimedia and DSP applicatio...
We present a transformational system for extracting parallelism from programs. Our transformations g...
We develop a technique for extracting parallelism from ordinary (sequential) programs. The technique...
In this paper, we introduce a technique to parallelize nested loops at the fine grain level. It is a...
This paper presents a new technique to parallelize nested loops at the statement level. It transform...
This paper presents a new technique to parallelize nested loops at the statement level. It transform...
Parallelizing compilers do not handle loops in a satisfactory manner. Fine-grain transformations ...
Parallelizing compilers do not handle loops in a satisfactory manner. Fine-grain transformations cap...
This paper presents a new technique to parallelize non-vectorizable loosely nested loops. Loosely ne...
This paper presents a new technique to parallelize non-vectorizable loosely nested loops. Loosely ne...
[[abstract]]A systematic procedure for designing pipelined data-parallel algorithms that are suitabl...
Abstract In this paper, an approach to the problem of exploiting parallelism within nested loops is ...
Software pipelining is one of the most important optimization techniques to increase the parallelism...
Most scientific and DSP applications are recursive or iterative. Uniform nested loops can be modeled...
Parallelizing compilers promise to exploit the parallelism available in a given program, particularl...
Nested loops represent a significant portion of application runtime in multimedia and DSP applicatio...
We present a transformational system for extracting parallelism from programs. Our transformations g...
We develop a technique for extracting parallelism from ordinary (sequential) programs. The technique...
In this paper, we introduce a technique to parallelize nested loops at the fine grain level. It is a...
This paper presents a new technique to parallelize nested loops at the statement level. It transform...
This paper presents a new technique to parallelize nested loops at the statement level. It transform...
Parallelizing compilers do not handle loops in a satisfactory manner. Fine-grain transformations ...
Parallelizing compilers do not handle loops in a satisfactory manner. Fine-grain transformations cap...
This paper presents a new technique to parallelize non-vectorizable loosely nested loops. Loosely ne...
This paper presents a new technique to parallelize non-vectorizable loosely nested loops. Loosely ne...
[[abstract]]A systematic procedure for designing pipelined data-parallel algorithms that are suitabl...
Abstract In this paper, an approach to the problem of exploiting parallelism within nested loops is ...
Software pipelining is one of the most important optimization techniques to increase the parallelism...
Most scientific and DSP applications are recursive or iterative. Uniform nested loops can be modeled...
Parallelizing compilers promise to exploit the parallelism available in a given program, particularl...
Nested loops represent a significant portion of application runtime in multimedia and DSP applicatio...
We present a transformational system for extracting parallelism from programs. Our transformations g...
We develop a technique for extracting parallelism from ordinary (sequential) programs. The technique...