Hybrid architectures combining the strengths of generalpurpose processors with application-specific hardware accelerators can lead to a significant performance improvement. Our ...
In this paper, a hybrid discriminative/generative model for brain anatomical structure segmentation is proposed. The learning aspect of the approach is emphasized. In the discrimin...
As the number of transistors integrated on a chip continues to increase, a growing challenge is accurately modeling performance in the early stages of processor design. Analytical...
Software energy estimation is a critical step in the design of energyefficient embedded systems. Instruction-level simulation techniques, despite several advances, remain too slo...
Chip multiprocessors with multiple simpler cores are gaining popularity because they have the potential to drive future performance gains without exacerbating the problems of powe...
Hongtao Zhong, Steven A. Lieberman, Scott A. Mahlk...