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Ayse K. Coskun, Ph.D.

Affiliations: 
2009 Computer Science and Engineering University of California, San Diego, La Jolla, CA 
Area:
Computer Science, Electronics and Electrical Engineering
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"Ayse Coskun"

Parents

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Tajana S. Rosing grad student 2009 UCSD
 (Efficient thermal management for multiprocessor systems.)
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Publications

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Yuan Z, Coskun AK. (2021) Neural network-based cooling design for high-performance processors. Iscience. 25: 103582
Kaplan F, Said M, Reda S, et al. (2020) LoCool: Fighting Hot Spots Locally for Improving System Energy Efficiency Ieee Transactions On Computer-Aided Design of Integrated Circuits and Systems. 39: 895-908
Tuncer O, Ates E, Zhang Y, et al. (2019) Online Diagnosis of Performance Variation in HPC Systems Using Machine Learning Ieee Transactions On Parallel and Distributed Systems. 30: 883-896
Sahin O, Thiele L, Coskun AK. (2019) Maestro: Autonomous QoS Management for Mobile Applications Under Thermal Constraints Ieee Transactions On Computer-Aided Design of Integrated Circuits and Systems. 38: 1557-1570
Zaman M, Shihab MM, Coskun AK, et al. (2019) CAPE: A cross-layer framework for accurate microprocessor power estimation Integration. 68: 87-98
Hankendi C, Coskun AK. (2017) Scale & Cap: Scaling-Aware Resource Management for Consolidated Multi-threaded Applications Acm Transactions On Design Automation of Electronic Systems. 22: 30
Abellan JL, Coskun AK, Gu A, et al. (2017) Adaptive Tuning of Photonic Devices in a Photonic NoC Through Dynamic Workload Allocation Ieee Transactions On Computer-Aided Design of Integrated Circuits and Systems. 36: 801-814
Chen H, Turk A, Duri SS, et al. (2016) Automated system change discovery and management in the cloud Ibm Journal of Research and Development. 60: 2:1-2:10
Hankendi C, Coskun AK, Hoffmann H. (2016) Adapt&Cap: Coordinating System- and Application-Level Adaptation for Power-Constrained Systems Ieee Design & Test of Computers. 33: 68-76
Meng J, Llamosí E, Kaplan F, et al. (2016) Communication and cooling aware job allocation in data centers for communication-intensive workloads Journal of Parallel and Distributed Computing. 96: 181-193
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