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Wang, Chien-Min ਿ ͉ ༟ ࣘ Research Description
ਿ
͉
Research Description
ࣘ
༟
ᔖcc၈jਓ޼ӺࡰAssociate Research Fellow (1996--) My current interests can be divided into two data grid system architecture, high-performance and
main categories: high-performance computing and reliable data access, data replication strategy, and
௰৷ኪዝj Ph.D., Electrical Engineering, groupware technology. The former is to investigate optimization techniques for parallel I/O.
compiler techniques and supporting environments
National Taiwan University (1991) for high-performance computing on parallel and As the need for applications capable of work-
distributed systems. The latter aims at the research ing collaboratively through the Internet has in-
ཥcc༑j+886-2-2788-3799 ext. 1703 of software techniques and tools that facilitate team- creased, more and more researchers have devoted
work. their attention to the technology of groupware or
ෂccॆj+886-2-2782-4814 computer-supported cooperative work (CSCW). It
The trend of parallel and distributed process- is usually referred as computer-based systems that
ཥɿڦᇌjcmwang@iis.sinica.edu.tw ing has moved toward cluster computing and grid support groups of people engaged in a common task Research Fellows
ၣccࠫjhttp://www.iis.sinica.edu.tw/pages/cmwang computing. Clusters built up from workstations or and that provide an interface to a shared environ-
PCs can provide enormous computing power at a ment. Key issues of CSCW include group aware-
relatively low cost. The Grid built on pervasive In- ness, multi-user interfaces, concurrency control,
ternet standards enables organizations to share com- communication and coordination within the group,
puting and storage resources and presents them as a shared information space and the support of a het-
޼Ӻᔊʧ
޼Ӻᔊʧ single unified resource for solving large-scale appli- erogeneous, open environment. In particular, we aim
• Assistant Research Fellow, Academia Sinica cations. We are now working on software techniques at mechanisms to shared information and resources,
Research Fellows
( (1991--1995), ͦۃҢٙ޼Ӻ̙ʱމՇࡈ˴ࠅჯਹj৷ࣖঐࠇ for high-performance cluster and grid computing. techniques to facilitate on-line collaboration, and
The focuses of our research include benchmarking software tools for the development of collaborative
• Ph.D., Electrical Engineering, National Taiwan ၑ˸ʿ໊ଡ଼ழ᜗Ҧஔfۃ٫ઞী̻Бʿʱ౳όӻ୕ and fine-tuning for cache/memory performance, applications.
compiler techniques for efficient parallel programs,
University (1991),
ٙᇜᙇҦஔၾ˕౪ᐑྤd˸ᔊʷ̻Б೻όٙᅠᄳd
• B.S., Electrical Engineering, National Taiwan Uni- Νࣛ౤৷ੂБࣛٙࣖঐfܝ٫ഹࠠ׵ழ᜗Ҧஔၾʈ Selected Publications
Selected Publications
versity (1987).
Ոٙ޼Ӻd˸˕౪ʱ౳΢ήٙԴ͜٫ீཀၣ༩ආБ
1. Y.-S. Chen, S.-D. Wang and C.-M. Wang, “Tiling Nested Loops into 12. C.-M. Wang, S.-T. Wang, S.-F. Hong and H.-M Chen, “Java Event
ΥЪf Maximal Rectangular Blocks,” Journal of Parallel and Distributed Broadcasting in CSCW Environment,” Proceedings of the 3rd Interna-
Computing, Vol. 35, No. 2, pp. 123-132, June 1996. tional Conference on the Principles and Practice of Programming in
2. C.-C. Hsu, C.-M. Wang and J.-F. Lin, “Efficient Loop Allocation Java, pp. 120-125, Las Vegas, Nevada, USA, June 2004.
̻Бʿʱ౳όஈଣٙ޼Ӻᒈැ͍ಃΣᓉණࠇၑ Based on the Analysis of Processor Requirement of Loops with Equiv- 13. C.-M. Wang, S.-F. Hong, S.-T. Wang and H.-M Chen, “A Dual-mode
alent Completion Times,” Computer Systems Science and Engineer- Exerciser for a Collaborative Computing Environment,” Proceed-
ձၣࣸࠇၑစආfཥ໘ᓉණٙᎴᓃί׵ঐ˸༰Эٙ ing, Vol. 12, No. 1, pp. 53-60, January 1997. ings of the 11th Asia-Pacific Software Engineering Conference, pp.
3. C.-M. Wang, Y. Hou and C.-Y. Ku, “Compiler Techniques for Mini- 240-248, Busan, Korea, Nov. 2004.
ᄆࣸ౤ԶᕼɽٙࠇၑঐɢiၣࣸҦஔۆঐਗ਼ʱ౳ί mizing Link Contention of Linear-Constant Communication on k-ary 14. Y.-F. Lin, C.-M. Wang and J.-J. Wu, “Optimizing I/O Server Placement
n-cubes,” Journal of Information Science and Engineering, Vol. 14, for Parallel I/O on Switch-Based Irregular Networks,” Proceedings of
Όଢ΢ήٙᎷπༀໄձ༶ၑ༟๕ഐΥৎԸd࿴ϓɓ No. 1, pp. 53-78, March 1998. the ACM/IEEE International Symposium on Parallel and Distributed
4. T.-R. Chuang, Y.-S. Kuo and C.-M. Wang, “Non-Intrusive Object Processing and Applications, Honk Kong, China, Dec. 2004.
ࡈ዆ΥٙᏐ͜ᐑྤd˸༆Ӕһɽˉܓٙࠇၑਪᕚf Introspection in C++ -- Architecture and Application,” Proceedings 15. C.-M. Wang, H.-M. Chen, G.-C. Lee, S.-T. Wang, and S.-F. Hong, “A
th
of the 20 International Conference on Software Engineering, pp. Tree-Structured Persistence Server for Data Management of Collab-
ΪϤҢࡁߧɢ׵޼೯৷ࣖঐᓉණձၣࣸࠇၑٙழ᜗ 312-321, Kyoto, Japan, April 1998. orative Applications,” Proceedings of the 19th International Confer-
5. Y. Hou, C.-M. Wang and L.-H. Hsu, “Depth Contention-Free Broad- ence on Advanced Information Networking and Applications, Vol. 2,
ҦஔdՉʕၚᆽٙӻ୕ࣖঐ൙Пe৷ࣖଟ̻Б೻ό casting on Torus Networks,” Proceedings of the 1998 ACM Inter- pp. 503-506, Taipei, Taiwan, March 2005.
national Conference on Supercomputing, pp. 393-400, Melbourne, 16. H.-M. Chen, C.-C. Chang, J.-J. Wu, C.-M. Wang, and C.-C. Hsu, “To-
ٙᇜᙇҦஔe৷ࣖঐၾ৷̙ቦܓٙ༟ࣘෂ፩e༟ࣘ Australia, July 1998. wards a Service-based Collaborative Framework for Data-intensive
6. Y. Hou, C.-M. Wang, M.-J. Tsai and L.-H. Hsu, “Broadcasting on Grid Applications,” Proceedings of the 11th International Conference
ਓ͉Ҧஔe˸ʿ፩ɝ/፩̈ӻ୕ٙ௰Գʷ˙جਗ਼݊Ң Wormhole-Routed 2D Tori with Arbitrary Size,” Proceedings of the on Parallel and Distributed Systems, Vol. 2, pp. 689-693, Fukuoka,
1998 International Conference on Parallel and Distributed Systems, Japan, July 2005.
ࡁ˴ࠅٙ޼Ӻሙᕚf pp. 334-341, Tainan, Taiwan, December 1998. 17. C.-M. Wang, S.-T. Wang, S.-F. Hong and H.-M. Chen, “Experiences in
7. Y. Hou, C.-M. Wang, C.-Y. Ku and L.-H. Hsu, “Optimal Processor Implementing a Java Collaborative IDE over the Internet,” Journal of
Mapping for Linear-Complement Communication on Hypercubes,” Internet Technology, pp. 427-436, Vol. 6 No. 4, 2005.
̤̮ᎇഹீཀၣყၣ༩ආБΥЪٙცӋʔᓙᄣ IEEE Transactions on Parallel and Distributed Systems, Vol. 12, No. 5, 18. P. Lee, C.-M. Wang and J.-J. Wu, “Compiler and Run-time Paralleliza-
pp. 514-527, May 2001. tion Techniques for Scientific Computations on Distributed Memory

̋d൳Ը൳εٙ޼Ӻ٫ਗ਼ːɢਖ਼ء׵໊ଡ଼ழ᜗Ҧஔ 8. T.-R. Chuang, Y.-S. Kuo and C.-M. Wang, “Non-intrusive Object In- Parallel Computers,” chapter 8 in High Performance Computing:
trospection in C++,” Software: Practice and Experience, No. 32, Vol. 2, Paradigm and Infrastructure, edited by Laurence T. Yang and Minyi
אཥ໘˕౪՘ɢҦஔfவࡈ޼Ӻ˙Σٙͦᅺί׵౤ pp. 191-207, February 2002. Guo, John Wiley & Sons, Inc., pp. 135-182, 2005.
9. C.-M. Wang, Y. Hou and L.-H. Hsu, “Adaptive Path-Based Multicast 19. Y.-F. Lin, C.-M. Wang and Jan-Jan Wu, “Optimizing I/O Server Place-
Զʱ౳΢ήٙԴ͜٫ɓࡈீཀၣ༩ҁϓ΍ΝٙʈЪ on Wormhole-Routed Hypercubes,” Proceedings of the 8 Interna- ment for Parallel I/O on Switch-Based Irregular Networks”, accepted
th
tional Euro-Par Conference, Paderborn, Germany, August 2002. The by The Journal of Supercomputing, 2005.
ԨʱԮ༟๕ٙᐑྤd޼Ӻሙᕚܼ̍j໊ଡ଼จᗆeε proceedings also appears as Lecture Notes in Computer Science 2400, 20. C.-M. Wang, S.-F. Hong, S.-T. Wang and H.-M Chen, “A Dual-mode
Springer 2002, ISBN 3-540-44049-6. Exerciser for a Collaborative Computing Environment,” to appear in
Դ͜٫ʧࠦeԨБછՓe໊ଡ଼ஷৃၾ՘ሜe˸ʿ໊ 10. J.-Y. Huang, Y.-C. Du and C.-M. Wang, “Design of the Server Cluster Journal of Internet Technology, 2006.
to Support Avatar Migration,” Proceedings of IEEE Virtual Reality 21. C.-M. Wang, C.-C. Hsu, P. Liu, H.-M. Chen and J.-J. Wu, “Optimizing
ଡ଼༟๕ʱԮᐑྤഃfՉʕҢࡁٙ޼Ӻࠠᓃਗ਼ึί׵ Conference 2003, pp. 7-14, Los Angeles, California, USA, March Server Placement in Hierarchical Grid Environments,” accepted by
2003. The 2006 International Conference on Grid and Pervasive Computing,
༟ৃၾ༟๕ٙʱԮዚՓeᇞɪʝਗٙ՘ɢҦஔ˸ʿ 11. W.-C. Fang, C.-C. Hsu and C.-M. Wang, “On the Fault-Tolerant May 2006.
Embeddings of Complete Binary Trees in the Mesh Interconnection 22. C.-M. Wang, C.-C. Hsu, H.-M. Chen and J.-J. Wu, “Effi cient Multi-
՘ɢழ᜗ٙක೯ᐑྤf Networks,” Information Sciences, Vol. 151, pp. 51-70, May 2003. Source Data Transfer in Data Grids,” accepted by The 6th IEEE Inter-
national Symposium on Cluster Computing and the Grid, May 2006.

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