Tulipse: A Visualization Framework for User-Guided Parallelization [chapter]

Yi Wen Wong, Tomasz Dubrownik, Wai Teng Tang, Wen Jun Tan, Rubing Duan, Rick Siow Mong Goh, Shyh-hao Kuo, Stephen John Turner, Weng-Fai Wong
2012 Lecture Notes in Computer Science  
Parallelization of existing code for modern multicore processors is tedious as the person performing these tasks must understand the algorithms, data structures and data dependencies in order to do a good job. Current options available to the programmer include either automatic parallelization or a complete rewrite in a parallel programming language. However, there are limitations with these options. In this paper, we propose a framework that enables the programmer to visualize information
more » ... cal for semi-automated parallelization. The framework, called Tulipse, offers a program structure view that is augmented with key performance information, and a loop-nest dependency view that can be used to visualize data dependencies gathered from static or dynamic analyses. Our paper will demonstrate how these two new perspectives aid in the parallelization of code.
doi:10.1007/978-3-642-32820-6_3 fatcat:6rxr3qnytbglrl4y6qsvmus3oa