Abstract. Computer vision is a challenging data intensive application. Currently, superscalar architectures dominate the processor marketplace. As more transistors become available...
Yongwha Chung, K. Park, W. Hahn, Neungsoo Park, Vi...
In this paper, we present and evaluate three temperature-sensitive loop parallelization strategies for array-intensive applications executed on chip multiprocessors in order to re...
Sri Hari Krishna Narayanan, Guilin Chen, Mahmut T....
This paper evaluates asymmetric cluster chip multiprocessor (ACCMP) architectures as a mechanism to achieve the highest performance for a given power budget. ACCMPs execute serial ...
T. Y. Morad, Uri C. Weiser, A. Kolodnyt, Mateo Val...
This paper presents a parallelization framework for emerging applications on the future chip multiprocessors (CMPs). With the continuing prevalence of CMP and the number of on-die...
Previous proposals for power-aware thread-level parallelism on chip multiprocessors (CMPs) mostly focus on multiprogrammed workloads. Nonetheless, parallel computation of a single...