Embedded    System Lab

The Embedded System Lab is located with researchers at Rooms 438, and 442 of the CSIE building in the main campus of National Taiwan University, Taipei, Taiwan.

◆Address:

Embedded Systems and Wireless Networking Laboratory
Department of Computer Science and Information Engineering
National Taiwan University
No. 1, Roosevelt Rd. Sec. 4,
Taipei, 106, Taiwan

◆Tel: +886-2-2362-5336 ext. 438

It is well known that flash memory is applied to current electronic products, such as mobile phones, flash drives and notebooks. Compared with hard disk, flash memory has a better dynamic shock resistance and low consumption power for saving data. Based on the trend of modern electronic products, we can find that the value of a product depends on the amount of built-in storages rather than the processing speed.

Flash research group, one of the research groups of Embadded System Laboratory, focuses on researching, developing, and implementing practical technologies of flash memory. We are interested in improving performance and reliability, and decreasing power consumption of flash memory, although they apparently have conflicting goals.

With the popularity of consumer electronics products, more and more researchers focus on low power and high speed devices development. Phase change memory (PCM), a high performance and low energy consuming memory, has emerged and it is a good candidate device for next generation consumer electronics products.

PCM group is a research team focus on Phase Change Memory development. Our research topics target on finding creative applications for PCM from memory and storage view, including efficient management strategies for PCM, new system hierarchy for PCM, new storage system for PCM, and PCM-based energy efficient system.

This is our website:

Phase Change Memory Group

In recent years, various multi-core architectures have become popular selections for the designs of not only servers but also mobile platforms. A key concern in all of these computing system designs is energy-efficiency. With the considerations of real-time constraints, energy-efficient scheduling algorithms are developed to guide the dynamic voltage scaling and the dynamic power management to scale the computing power and to adjust the set of computing units, respectively. For the system implementations, energy-efficient frameworks are implemented over several heterogeneous/homogeneous multi-core platforms, such as TI DaVince DM6446 and ITRI PAC Duo, and energy-efficient daemons are realized over the Android platforms. While there are still many important energy problems remaining open, we would like to analyze them with mathematical tools and conquer them with real system implementations.

This is our website:
Energy Operating System Group