Exploiting coarse-grained task, data, and pipeline parallelism in stream programs

By Michael I. Gordon, William Thies, Saman P. Amarasinghe. ASPLOS XII, 2006

638 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Hardware and Architecture

View Paper: https://www.semanticscholar.org/paper/9b23d37b72ee7fe4f8bb3230e1640cbeb9c6c599

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Jichuan Chang
2. G. Sohi
3. Christian Bienia
4. Kai Li

In Hardware and Architecture

1. Jichuan Chang
2. G. Sohi
3. Christian Bienia
4. Kai Li

Citations in the corpus

• Cooperative Caching for Chip Multiprocessors (2006, background): “Such capability can be exploited by computation with task-level pipeline parallelism for streamlined data communication [53].”
• Benchmarking modern multiprocessors (2011, background): “Stream programming is a parallelization approach that decomposes a program into a parallel network of specialized kernels which are then mapped to processing elements [18, 29, 46].”