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Personal profile

Research Interests

Professor Memik works in the area of computer architecture. His work spans three major areas: (1) understanding/developing new technologies and developing architectures that are more suitable for these technologies, (2) modeling large-scale systems and optimizing them, and (3) developing techniques that can automatically detect user needs/requirements and use this information to improve performance of mobile system and reduce their power consumption.

Education/Academic qualification

Electrical Engineering, PhD, University of California at Los Angeles

… → 2003

Electrical and Computer Engineering, MS, Northwestern University

… → 2000

Computer Engineering, BS, Bogazici University

… → 1998

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Grants

Research Output

Minimizing Thermal Variation in Heterogeneous HPC Systems with FPGA Nodes

Luo, Y., Wang, X., Memik, S. O., Memik, G., Yoshii, K. & Beckman, P., Jan 16 2019, Proceedings - 2018 IEEE 36th International Conference on Computer Design, ICCD 2018. Institute of Electrical and Electronics Engineers Inc., p. 537-544 8 p. 8615736. (Proceedings - 2018 IEEE 36th International Conference on Computer Design, ICCD 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 1 Scopus citations

    Understanding the impact of number of CPU cores on user satisfaction in smartphones

    Poyraz, E., Kashinkunti, P., Schuchhardt, M., Kishinevsky, M., Soundararajan, N. & Memik, G., Nov 12 2019, Proceedings of the 16th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2019. Association for Computing Machinery, p. 288-297 10 p. (ACM International Conference Proceeding Series).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • Writeback-aware LLC management for PCM-based main memory systems

    Pourshirazi, B., Valad Beigi, M., Zhu, Z. & Memik, G., Jan 2019, In : ACM Transactions on Design Automation of Electronic Systems. 24, 2, a18.

    Research output: Contribution to journalArticle

  • 2 Scopus citations

    Machine Learning-Based Temperature Prediction for Runtime Thermal Management Across System Components

    Zhang, K., Guliani, A., Memik, S. O., Memik, G., Yoshii, K., Sankaran, R. & Beckman, P., Feb 1 2018, In : IEEE Transactions on Parallel and Distributed Systems. 29, 2, p. 405-419 15 p., 7995115.

    Research output: Contribution to journalArticle

  • 14 Scopus citations

    Thermal-aware optimizations of ReRAM-based neuromorphic computing systems

    Beigi, M. V. & Memik, G., Jun 24 2018, Proceedings of the 55th Annual Design Automation Conference, DAC 2018. Institute of Electrical and Electronics Engineers Inc., a39. (Proceedings - Design Automation Conference; vol. Part F137710).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 10 Scopus citations