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CONCLUSIONS AND FUTURE TRENDS
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bet | 12/14 | Sana | 23.07.2024 | Hajmi | 0,76 Mb. | | #268329 |
Bog'liq TrendsInMulticoreDSP.GathererCONCLUSIONS AND FUTURE TRENDS
In the last two years, the embedded DSP market has been swept up by the general increase in interest in multicore that has been driven by companies such as Intel and Sun.
One reason for this is that there is now a lot of focus on tooling in academia and also a willingness on the part of users to accept new programming paradigms. This industry-wide effort will have an effect on the way multicore DSPs are pro- grammed and perhaps architected. But it is too early to say in what way this will occur. Programming multicore DSPs remains very challenging. The problem of how to take a piece of sequential code and optimally partition it across multiple cores remains unsolved. Hence, there will naturally be a lot of variations in the approaches taken. Equally important is the issue of debugging and visibility. Developing effective and easy-to-use code development and real-time debug tools is tremendously important as the opportunity for bugs goes up significantly when one starts to deal with both time and space. The markets that DSP plays in have unique features in their desire for low power, low cost, and hard real-time processing, with an emphasis on mathematical computation. How well the multicore research being performed presently in academia will
address these concerns remains to be seen.
AUTHORS
Lina J. Karam (karam@asu.edu) received the B.E. degree in computer and communications engineering from the American University of Beirut in 1989 and the M.S. and Ph.D. degrees in electrical engineering from Georgia Institute of Technology in 1992 and 1995, respectively. Since 1995, she has been on the fac- ulty in the Electrical Engineering Department at Arizona State University, where she directs the Image, Video, and Usability and the Real-Time Embedded Signal Processing Laboratories. She was awarded the 1998 U.S. National Science Foundation CAREER Award. She is a Senior Member of the IEEE.
Ismail AlKamal (ismail.alkamal@asu.edu) received a B.E. degree in electrical engineering from Aleppo University in 2005 and an M.E. degree in electrical and computer engineer- ing from the American University of Beirut in 2008. In 2008, he was a visiting researcher with the Image, Video, and Usability Group at Arizona State University. He also is the founder and lead system designer at Nawatt Labs, where he worked on several projects in embedded systems, data acquisi- tion, industrial control and automation, vision systems, and ultrasound. He is a Member of the IEEE.
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