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Personal profile

Education/Academic qualification

Electrical Engineering, PhD, University of California, Los Angeles

… → 2003

Electrical and Computer Engineering, MS, Northwestern University

… → 2000

Computer Engineering, BS, Bogazici University

… → 1998

Fingerprint Dive into the research topics where Gokhan Memik is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 12 Similar Profiles
Electric power utilization Engineering & Materials Science
Data storage equipment Engineering & Materials Science
Field programmable gate arrays (FPGA) Engineering & Materials Science
Energy utilization Engineering & Materials Science
Program processors Engineering & Materials Science
Nanophotonics Engineering & Materials Science
Data mining Engineering & Materials Science
Temperature control Engineering & Materials Science

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Grants 2004 2017

Research Output 2000 2019

1 Citation (Scopus)

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

Field programmable gate arrays (FPGA)
Particle accelerators
Learning systems
Hot Temperature
Cooling
1 Citation (Scopus)

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

Phase change memory
Data storage equipment
Dynamic random access storage
Energy utilization
Energy efficiency
10 Citations (Scopus)

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

Temperature control
Learning systems
Temperature
Linear regression
Neural networks
7 Citations (Scopus)

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

Optimization
Computing
Neural Networks
Neural networks
Temperature
3 Citations (Scopus)

Thor: Thermal-aware optimizations for extending reram lifetime

Valad Beigi, M. & Memik, G., Aug 3 2018, Proceedings - 2018 IEEE 32nd International Parallel and Distributed Processing Symposium, IPDPS 2018. Institute of Electrical and Electronics Engineers Inc., p. 670-679 10 p. 8425220. (Proceedings - 2018 IEEE 32nd International Parallel and Distributed Processing Symposium, IPDPS 2018).

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

Data storage equipment
Durability
Hot Temperature
RRAM
Dynamic random access storage