Ayse Kivilcim Coskun

Ayse Kivilcim Coskun

Ayse K. Coskun Boston University, Electrical and Computer Engineering Department 8 Saint Mary’s Street, Boston, MA 02215 USA -- Phone: 617-358-3641 -- E-mail: [email protected] Web: Personal Website, Research Group (PeacLab), Google Scholar Education PhD Computer Science and Engineering, University of California, San Diego 2009 MS Computer Science and Engineering, University of California, San Diego 2006 BS Microelectronics Engineering, Minor Degree in Physics, Sabanci University, Turkey 2003 Research Interests Energy-efficient computing, power and thermal management of computing systems, novel computer architectures (e.g., enabled by 3D stacking or on-chip silicon photonics), embedded system design, cloud and HPC analytics with applied machine learning methods, data center resource and energy management. Work Experience Boston University, Boston, MA Associate Professor in Electrical and Computer Engineering Department May 2015-Present Assistant Professor September 2009-May 2015 Classes taught: Introduction to Embedded Systems (EC535), Introduction to Software Engineering (EC327), Advanced Computing Systems & Architecture (EC700). 7 PhD alumni, currently advising 9 PhD students. Hosted and advised 20+ undergraduate researchers and 9 high school students at the Performance and Energy Aware Computing Laboratory (PeacLab). University of California San Diego, San Diego, CA Graduate Student Researcher in Computer Science and Engineering Department 2003-2009 Advisor: Prof. Tajana Simunic Rosing PhD thesis: “Efficient Thermal Management for Multiprocessor Systems”. Sun Microsystems, San Diego, CA (now Oracle) Intern in Systems Dynamics Characterization and Control Team 2006-2009 Supervisor: Dr. Kenny C. Gross Conducted research on temperature and reliability modeling / management methods, monitoring real-time system behavior, and runtime analysis. Co-authored 6 US patents. Awards and Honors Participant at the National Academy of Engineering’s Frontiers of Engineering Symposium, September 2019. Best Artifact Award (given to software artifacts of research papers) at the International European Conference on Parallel and Distributed Computing (EuroPar), 2018. Ernest S. Kuh Early Career Award, IEEE Council on Electronic Design Automation (CEDA), 2017. “For sustained and outstanding contributions to energy-efficient system-level design, including temperature-aware design and management, 3D-stacked system design, and management of large-scale computing systems.” Gauss Award (an outstanding paper award) at the International Supercomputing Conference - High Performance (ISC-HPC), 2017. NSF CAREER Award, “3D Stacked Systems for Energy‐Efficient Computing: Innovative Strategies in Modeling and Runtime Management”, 2012-2017. Junior Fellow at The Rafik B. Hariri Institute for Computing and Computational Science & Engineering at Boston University, 2012-2013. Best Paper Award, High Performance Embedded Computing (HPEC) Workshop, Sept. 2011. A. Richard Newton Graduate Scholarship Award, Design Automation Conference (DAC), “3D Systems for Low-Power High-Performance Computing”, 2011-2012. Best Paper Award, IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC), October 2009. 1 Grants Grants as Primary Investigator: Sandia National Laboratories, “Scalable and Explainable Machine Learning Analytics for Understanding HPC Systems”, 2019-2022. PI (100%), $300,000. IBM TJ Watson Research Center, Open Collaborative Research Award, “System Discovery in the Cloud”, 2016- 2020. PI (100%), $225,000 (gift). Dean’s Catalyst Award at College of Engineering, Boston University, “Sustainable IT and IT for Sustainability”, 2017-2019. PI (40%), $80,000 (gift). National Science Foundation, CCF SHF, “Reclaiming Dark Silicon via 2.5D Integrated Systems with Silicon Photonic Networks”, 2017-2020. PI (40%), $500,000 (BU Budget, Total). Co-PIs: Ajay Joshi and Milos Popovic at BU. National Science Foundation, CISE CRI, “CI-New: Collaborative Research: Modeling the Next-Generation Hybrid Cooling Systems for High-Performance Processors”, 2017-2020. PI (33%), $233,964 (BU Budget), $696,000 (Total Project Budget). Co-PIs: Sherief Reda at Brown University and Evelyn Wang at MIT. Sandia National Labs, U.S. Department of Energy, “Automated Analytics for Improving Efficiency, Safety, and Security of HPC Systems”, 2017-2020. PI (50%), $490,000 (BU Budget, Total). Co-PI: Manuel Egele at BU. Sandia National Labs, U.S. Department of Energy, “Data Analytics for Improving Efficiency and Security of HPC Systems”, 2015-2017. PI (50%). $189,000 (BU Budget, Total). Co-PI: Manuel Egele at BU. Sandia National Labs, U.S. Department of Energy, “Intelligent Software Management Strategies”, 2012-2016, PI (100%), $315,000. Advances Micro Devices (AMD), “Investigation of Phase-Change Material (PCM) for Improvement of Thermal Efficiency”, 2013-2014, PI (100%), $25,000 (gift). Oracle Research Award, “Temperature-Aware Workload Scheduling for Optimal Energy Efficiency and Reliability for Oracle Systems”, 2011-2014, PI (100%), $165,000 (gift). Department of Energy via Decision Detective Corporation, “Power Management Optimization Platform for HPC and Data Centers”, 2012-2013. PI (100%), $64,147. Sub-contract as part of an SBIR Phase-II project by Decision Detective Corporation; total project funding: $1M over two years. NSF CAREER Award, “3D Stacked Systems for Energy‐Efficient Computing: Innovative Strategies in Modeling and Runtime Management”, 2012-2017. PI (100%), $450,000. VMware Sponsored Academic Research Award, “Energy-Efficient and Reliable Server Consolidation for the Cloud”, 2011-2013, PI (100%), $143,000 (gift). Massachusetts Green High Performance Computing Center (MGHPCC) seed fund, “Designing Green Software for High Performance Computing Clusters”, 2012-2013. PI (50%), $54,500 (BU Budget). Co-PIs: Martin Herbordt at BU and Gunar Schirner at Northeastern University. A. Richard Newton Graduate Scholarship Award, Design Automation Conference (DAC), “3D Systems for Low- Power High-Performance Computing”, 2011-2012. PI (100%), $24,000 (gift). Dean’s Catalyst Award at College of Engineering, Boston University, “Green Computing through Software Optimization”, 2010-2011. PI (50%), $41,280 (gift). Sun Microsystems (now Oracle) Gift, “Performance-aware energy management for parallel workloads”, 2010. PI (100%), $45,000 (gift). Grants as Co-PI: National Science Foundation, CCF SHF, “Managing Thermal Integrity in Monolithic 3D Integrated Systems”, 2019-2022. Co-PI (50%), $250,000 (BU Budget), $500,000 (Total Project Budget). PI: Emre Salman at Stony Brook University. National Science Foundation, CISE CSR, “A Just-in-Time, Cross-Layer Instrumentation Framework for Diagnosing Performance Problems in Distributed Applications”, 2018-2021. Co-PI (40%), $480,000 (BU Budget, Total). PI: Raja Sambasivan at BU (currently at Tufts) and Co-PI: Orran Krieger at BU. 2 Publications and Patents Book Editorship: 1. Andreas Burg, Ayse K. Coskun, Matthew R. Guthaus, Srinivas Katkoori and Ricardo Reis (Eds.). VLSI-SoC: From Algorithms to Circuits and System-on-Chip Design - 20th IFIP WG 10.5/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2012, Santa Cruz, CA, USA, October 7-10, 2012, Revised Selected Papers, IFIP Advances in Information and Communication Technology 418, Springer 2013. Book Chapters: 5. Zihao Yuan, Sherief Reda, Ayse K. Coskun, Compact Thermal Modeling of Emerging Cooling Technologies for Processors, in Embedded Cooling of Electronic Devices, WSPC’s Encyclopedia of Thermal Packaging. Editors: Avi Bar-Cohen, Madhu Iyengar. Pending, submitted in 2019. 4. Tiansheng Zhang, Jonathan Klamkin, Ajay Joshi, and Ayse K. Coskun, Thermal Management of Silicon Photonic NoCs in Many-core Systems, in Photonic Interconnects for Computing Systems: Understanding and Pushing Design Challenges. Editors: M. Nikdast, G. Nicolescu, S. Le Beux, J. Xu. River Publisher, (ISBN: 978-8- 793-51980-0), 2017. 3. Tiansheng Zhang, Fulya Kaplan, and Ayse K. Coskun. Thermal Modeling and Management in 3D Stacked Systems, in Physical Design for 3D Integrated Circuits. Editors: Aida Todri-Sanial, and Chuan Seng Tan. CRC Press, (ISBN: 978-1-498-71036-7), pp. 229–244, 2015. 2. Dhireesha Kudithipudi, Qinru Qiu, and Ayse K. Coskun. Thermal Management in Many-Core Systems, in Evolutionary Based Solutions for Green Computing. Editors: Samee U. Khan, Joanna Kolodziej, Juan Li, Albert Y. Zomaya. Springer-Verlag, New York, USA, (ISBN: Print: 978-3-642-30658-7 Online: 978-3-642-30659-4), pp. 161–185, 2013. 1. Ayse K. Coskun, J. Ayala, D. Atienza, T. Simunic Rosing. Thermal Modeling and Management of Liquid- Cooled 3D Stacked Architectures. Editors: J. Becker, M. Johann and R. Reis. Springer, VLSI-SoC: Technologies for Systems Integration (ISBN: 978-3-642-23119-3), pp. 34-55, 2011. Journal Papers (Peer-reviewed): 26. Anthony Byrne, Emre Ates, Ata Turk, Vladimir Pchelin, Sastry S. Duri, Shripad Nadgowda, Canturk Isci, and Ayse Coskun. Praxi: Cloud Software Discovery That Learns From Practice, in IEEE Transactions on Cloud Computing, 2020. 25. Ayse Coskun, Furkan Eris, Ajay Joshi, Andrew B. Kahng, Yenai Ma, Aditya Narayan, and Vaishnav Srinivas. Cross-Layer Co-Optimization of Network Design and Chiplet Placement in 2.5D Systems, in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2020. 24. Fulya Kaplan, Mostafa Said, Sherief Reda, and Ayse K. Coskun. LoCool: Fighting Hot Spots Locally for Improving System Energy Efficiency, in IEEE Transactions

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