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Recent Students' Main Achievements

A peer-reviewed international conference paper summarizing the results of research conducted by a second-year student in Master's Program in Computer Science won the Best Paper Award.
Hajime Maeda, Shuji Sannomiya, Keisuke Kameyama, Hotaka Takizawa, Makoto Iwata, Hiroaki Nishikawa, "Anomaly Detection in IoT Computing Platform Using Self-Timed Data-Driven Processor," Proc. of IEEE 15th Annual Computing and Communication Workshop and Conference (CCWC), pp. 00901-00908, Jan. 2025. (IEEE 15th Annual Computing and Communication Workshop and Conference (CCWC) Best Paper)

One of DDNA Lab. members who was a forth grade COINS student received the best paper award of iEECON2020. The awarded international conference paper describes the research outcome from a research work based on the findings of his graduation work.
Senri Yoshikawa, Shuji Sannomiya, Makoto Iwata, Hiroaki Nishikawa, "Pipeline Stage Level Simulation Method for Self-Timed Data-Driven Processor on FPGA," in Proc. of International Electrical Engineering Congress (iEECON2020), P1098, Mar. 2020. (2020 8th International Electrical Engineering Congress (iEECON2020) The Best Paper Award)

Research Content of DDNA Lab.

Networking architecture based on data-driven processor

Data-driven (non-von Neumann) processor is the realization of a data-driven execution model in which operations become executable after all of their operands arrive. The data-driven processor can realize multiprocessing without any overheads such as context-switching which is found in sequential (von Neumann type) processors, and thus it can guarantee real-time processing even when multiplicity (e.g. the number of IP packets processed simultaneously) increases as long as the processing loads is under design target. This real-time multiprocessing feature is indispensable for networking processing in which real-time constraints are strictly demanded even when network traffic (i.e. the number of IP packets processed simultaneously) increases. That is, the data-driven processor is inherently suitable for networking processing. Based on the data-driven processor, we are now studying on networking architecture straddling multiple research fields such as networking scheme, processor architecture and circuit implementation. (Domestic and international patents pending)

Research Activity

You have a chance to research extremely unique processor and have a good experience of creation/design/verification/evaluation of the whole system straddling multiple research fields such as networking scheme, processor architecture and circuit implementation.

Laboratory Equipment

You can use the latest workstations and storages installed for CAD tools to design VLSI chips. Also, you have personal work space and the latest PC.

SSH Alliance (Research alliance of Security, Software, Hardware groups)

We have established a research alliance named SSH alliance. Join in this alliance and take an opportunity to enjoy cross-sectoral interactions and expand your specialty area.

Signatory Laboratories
セキュリティとソフトウェア研究室(Associate Professor SATO Akira)
プログラミング言語研究室(Associate Professor NAKAI Hisashi)
サービスコンピューティング研究室(Associate Professor HOSHIKAWA Naoto)
Data-Driven Networking Architecture Lab.

Encouragement

You can get a chance to publish the results of your research in not only domestic conferences but also international conferences.
One doctoral-course member in our Lab. runs a company. You don’t miss your chance to get in touch with them.

Merits for your job hunting

You can participate in joint R&D (Research and Development) with domestic manufacturers, and experience the processes from system specifications definition to implementation. Moreover, you can get the skills for system design and have business work experiences with relevant companies.

We can accept two COINS students in 2025.

People who want to realize their ideas are highly-welcomed.

You are always welcomed.

We are ready for giving a detailed explanation about our Lab. anytime. We have two choices, short-version (15min.) and long-version (60min.) , for the detailed explanation, so you can select one of them according to your vacant time.

Feel free to contact us, e-mail: san [at] cs.tsukuba.ac.jp (Shuji Sannomiya).

Replace the "[at]" with "@" in the e-mail address, please.


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