An overview of automatic program parallelization techniques is presented. It covers
dependence analysis techniques, followed by a discussion of program transformations …

To improve effective performance and usability of shared memory multiprocessor systems, a
multi-grain compilation scheme, which hierarchically exploits coarse grain parallelism …

This paper describes multigrain parallel processing on a compiler cooperative chip
multiprocessor. The multigrain parallel processing hierarchically exploits multiple grains of …

With the increase of transistors integrated onto a chip, multi core processor architectures
have attracted much attention to achieve high effective performance, shorten development …

As multicore processors are getting popular, demands for automatic parallelization
achieving high performance, low power, and short software development period are …

This paper describes multigrain parallel processing on a compiler cooperative chip
multiprocessor. The multigrain parallel processing hierarchically exploits multiple grains of …

Thus far, parallelism at the loop level (or data-parallelism) has been almost exclusively the
main target of parallelizing compilers. The variety of new parallel architectures and recent …

All existing methods for automated data/computation decomposition share a common failing:
they are very sensitive to the original loop structure of the program. While they find a good …

This paper proposes a task scheduling algorithm for multi/many-core systems. To increase
the quality of results on the low computational complexity, our algorithm uses two static …

This paper studies task scheduling algorithms which schedule a set of tasks on multiple
cores so that the total scheduling length is minimized. Most of the algorithms developed in …