ISSN : 1796-203X
Volume : 4    Issue : 11    Date : November 2009

Intelligent Trace and Evaluation for Parallel Programming Based on Architectural Details
Jiaxin Li, Feng Shi, Ning Deng, Qi Zuo, Zuo Wang, and Mengxiao Liu
Page(s): 1125-1132
Full Text:
PDF (705 KB)

As CMP became the main stream of processer design, parallel programming is a new challenge
for programmer. The execution of the same program may perform much different based on various
multi-core architectures. Even the same multi-core processor combined with different mapping
strategies are still with distinct performance.  How could programmers figure out if their programs,
which based on specific multi-processing architectures and mapping strategies, are efficient and
even portable? In this paper, we propose Architecture-Based Trace and Evaluation (ABTE) and
corresponding framework, which intelligent helps programmers to approximate the performance of
their solutions without real running. ABTE mainly includes two parts: 1) the library of architecture
models and algorithms; 2) the evaluate engine. We introduce the method of describing models of
various architectures and their running algorithms. Based on the models, we propose a marked
object trace method to help evaluate the parallel solutions, and use it in the evaluate engine. We
explain ABTE by a case study, and the evaluation shows that ABTE can help programmers find the
better solution to a parallel application without real running.

Index Terms
parallel computing model, performance evaluation, TriBA