Abstract
The increased number of transistors and complexity of chips has led the rapid increase of the semiconductor design data size. It is crucial for turn-around time (TAT) of mask data preparation (MDP) procedures which are translated from designed data into a set of polygons for mask-writing equipment. MDP procedures require huge computational resources and software to maintain desired TAT. One of our concerns is how to decide priorities of all jobs and effectively manage target TAT using limited resources with many users. In this paper, we introduce a job scheduling system with a newly developed algorithm to control job priorities considering planned date and predict a number of required resources in advance. Furthermore, we propose a resource management technique to maximally utilize limited resources and dramatically reduced TAT, simultaneously. As a practical example, TAT and resource utilization of advanced technology node were improved by 58% and 30%, respectively.
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References
Leng, N.C., Har, A.J.C., Tat, O.Y.W.: System management with relational database for mask tape-out. In: Quality Electronic Design (ASQED), pp. 128–132 (2012)
Schulze, S.F., Bailey, G.E.: Distributed processing in integrated data preparation flow. In: BACUS Symposium on Photomask Technology, pp. 1–12 (2004)
Ahn, B.-S., Bang, J.-M., Ji, M.-K., Kang, S., Jang, S.-H., Choi, Y.-H, Ki, W.-T., Choi, S.-W., Han, W.-S.: Optimized distributed computing environment for mask data preparation. In: BACUS Symposium on Photomask Technology, pp. 1–8 (2005)
Zhou, S., Zheng, X., Wang, J., Delisle, P.: Utopia: a load sharing facility for large heterogenous distributed computer systems. Technical Report CSRI-257, pp. 1–37 (1992)
Gentzsch, W.: Sun grid engine: towards creating a compute power grid. In: Proc. of International Symposium on Cluster Computing and the Grid, pp. 35–36 (2001)
Zhao, W., Stankovic, J.A.: Performance analysis of FCFS and improved FCFS scheduling algorithms for dynamic real-time computer systems. In: Real Time Systems Symposium, pp. 156–165(1989)
Administering IBM Platform LSF
Hasija, M., Kaushik, A., Kumar, P.: OM algorithm for multi-level queue scheduling. In: Machine Intelligence and Research Advancement (ICMIRA), pp. 564–568 (2013)
Nouh, A., Jantzen, K., Park, M., Vu, H.T.: Compute resource management and TAT control in mask data prep. In: Metrology, Inspection, and Process Control for Microlithography XXIII, pp. 1–8 (2009)
Endo, T., Park, M., Ghosh, P.: Predictable turn-around time for post tape-out flow. In: Proc. of Optical Microlithography XXV, pp. 1–14 (2012)
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Park, H., Kim, S., Kim, T., Kim, J., Park, Y., Eom, Y.I. (2015). Resource-Aware Job Scheduling and Management System for Semiconductor Application. In: Park, DS., Chao, HC., Jeong, YS., Park, J. (eds) Advances in Computer Science and Ubiquitous Computing. Lecture Notes in Electrical Engineering, vol 373. Springer, Singapore. https://doi.org/10.1007/978-981-10-0281-6_104
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DOI: https://doi.org/10.1007/978-981-10-0281-6_104
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