Onur Kayıran Email : onur.kayiran@amd.com |
I am an SMTS Design Engineer at AMD Research and Advanced Development.
I completed my Ph.D. studies in Department of Computer Science and Engineering
at The Pennsylvania State University, in 2015, where
I worked with Chita R. Das and
Mahmut T. Kandemir
in High Performance Computing Lab.
Broadly, my research interests are in the area of computer architecture. Specifically, I work in CPU archuarch, CPU vector processing, cachememory hierarchy and SoCs, GPU architectures, and die-stacking.
Onur Kayiran, Mohamed Ibrahim, Shaizeen Aga
Accelerating Ray Tracing via Processing in Memory,
In In-Memory Architectures and Computing Applications Workshop
(iMACAW @ DAC 2023), San Francisco, CA, July 2023
Gabriel H. Loh, Michael J. Schulte, Mike Ignatowski, Vignesh Adhinarayanan, Shaizeen Aga, Derrick Aguren, Varun Agrawal, Ashwin M. Aji, John Alsop, Paul Bauman, Bradford M. Beckmann, Majed Valad Beigi, Sergey Blagodurov, Travis Boraten, Michael Boyer, William Brantley, Noel Chalmers, Shaoming Chen, Kevin Cheng, Michael L. Chu, David Cownie, Nicholas Curtis, Joris Del Pino, Nam Duong, Alexandru Dutu, Yasuko Eckert, Christopher Erb, Chip Freitag, Joseph L. Greathouse, Sudhanva Gurumurthi, Anthony Gutierrez, Khaled Hamidouche, Sachin Hossamani, Wei Huang, Mahzabeen Islam, Nuwan Jayasena, John Kalamatianos, Onur Kayiran, Jagadish Kotra, Daniel Lowell, Niti Madan, Abhinandan Majumdar, Nicholas Malaya, Srilatha Manne, Susumu Mashimo, Damon McDougall, Elliott Mednick, Michael Mishkin, Mark Nutter, Indrani Paul, Matthew Poremba, Brandon Potter, Kishore Punniyamurthy, Sooraj Puthoor, Steven E. Raasch, Karthik Rao, Greg Rodgers, Marko Scrbak, Mohammad Seyedzadeh, John Slice, Vilas Sridharan, Rene van Oostrum, Eric van Tassell, Abhinav Vishnu, Samuel Wasmundt, Mark Wilkening, Noah Wolfe, Mark Wyse, Adithya Yalavarti, Dmitri Yudanov, Varun Agrawal
A Research Retrospective on the AMD Exascale Computing Journey,
In the Proceedings of The 50th International Symposium on Computer Architecture
(ISCA), Orlando, FL, June 2023
Mohamed Ibrahim, Onur Kayiran, Shaizeen Aga
Efficient Cache Utilization via Model-aware Data Placement for Recommendation Models,
In the Proceedings of The International Symposium on Memory Systems
(MEMSYS), Virtual Event, September 2021
Mohamed Ibrahim, Onur Kayiran, Yasuko Eckert, Gabriel H. Loh, Adwait Jog
Analyzing and Leveraging Decoupled L1 Caches in GPUs,
In the Proceedings of The 27th IEEE International Symposium on High-Performance Computer Architecture
(HPCA), Seoul, South Korea, February 2021
(Acceptance rate: 63/258 = %24.4)
Mohamed Ibrahim, Onur Kayiran, Yasuko Eckert, Gabriel H. Loh, Adwait Jog
Analyzing and Leveraging Shared L1 Caches in GPUs,
In the Proceedings of The 29th International Conference on Parallel Architectures and Compilation Techniques
(PACT), Atlanta, GA, October 2020
(Acceptance rate: 35/135 = %25.9)
Johnathan Alsop, Matthew D. Sinclair, Srikant Bharadwaj, Alexandru Dutu, Anthony Gutierrez, Onur Kayiran, Michael LeBeane, Sooraj Puthoor, Xianwei Zhang, Tsung Tai Yeh, Bradford M. Beckmann
Optimizing GPU Cache Policies for MI Workloads,
Short Paper in 2019 IEEE International Symposium on Workload Characterization
(IISWC), Orlando, FL, November 2019
Mohamed Ibrahim, Hongyuan Liu, Onur Kayiran, Adwait Jog
Analyzing and Leveraging Remote-core Bandwidth for Enhanced Performance in GPUs,
In the Proceedings of The 28th International Conference on Parallel Architectures and Compilation Techniques
(PACT), Seattle, WA, September 2019
(Acceptance rate: 36/126 = %28.6)
Ashutosh Pattnaik, Xulong Tang, Onur Kayiran, Adwait Jog, Asit Mishra, Mahmut T. Kandemir, Anand Sivasubramaniam, Chita R. Das
Opportunistic Computing in GPU Architectures,
In the Proceedings of The 46th International Symposium on Computer Architecture
(ISCA), Phoenix, AZ, June 2019
(Acceptance rate: 62/365 = %17.0)
Xulong Tang, Ashutosh Pattnaik, Onur Kayiran, Adwait Jog, Mahmut T. Kandemir, Chita R. Das Hongyuan Liu, Mohamed Ibrahim, Onur Kayiran, Sreepathi Pai, Adwait Jog Hyojong Kim, Ramyad Hadidi, Lifeng Nai, Hyesoon Kim, Nuwan Jayasena, Yasuko Eckert, Onur Kayiran, Gabriel H. Loh Jieming Yin, Zhifeng Lin, Onur Kayiran, Matthew Poremba, Muhammad Shoaib Bin Altaf, Natalie Enright Jerger, Gabriel H. Loh Haonan Wang, Fan Luo, Mohamed Ibrahim, Onur Kayiran, Adwait Jog Anthony Gutierrez, Bradford Beckmann, Alexandru Dutu, Joseph Gross, John Kalamatianos, Onur Kayiran, Michael LeBeane, Matthew Poremba, Brandon Potter, Sooraj Puthoor, Mark Wyse, Jieming Yin, Akshay Jain, Tim Rogers, Xianwei Zhang, Matt Sinclair Matthew Poremba, Itir Akgun, Jieming Yin, Onur Kayiran, Yuan Xie, Gabriel H. Loh Xulong Tang, Ashutosh Pattnaik, Huaipan Jiang, Onur Kayiran, Adwait Jog, Sreepathi Pai, Mohamed Ibrahim, Mahmut T. Kandemir, Chita R. Das Thiruvengadam Vijayaraghavan, Yasuko Eckert, Gabriel H. Loh, Michael Schulte, Mike Ignatowski, Indrani Paul, Brad Beckmann, Steven Reinhardt, William Brantley, Joseph Greathouse, Onur Kayiran, Matthew Poremba, Wei Huang, Arun Karunanithi, Greg Sadowski, Vilas Sridharan, Steven Raasch, Mitesh Meswani Onur Kayiran, Adwait Jog, Ashutosh Pattnaik, Rachata Ausavarungnirun, Xulong Tang, Mahmut T. Kandemir, Gabriel H. Loh, Onur Mutlu, Chita R. Das Ashutosh Pattnaik, Xulong Tang, Adwait Jog, Onur Kayiran, Asit K. Mishra, Mahmut T. Kandemir, Onur Mutlu, Chita R. Das Jia Zhan, Onur Kayiran, Gabriel H. Loh, Chita R. Das, Yuan Xie Reena Panda, Yasuko Eckert, Nuwan Jayasena, Onur Kayiran, Michael Boyer, Lizy K. John Adwait Jog, Onur Kayiran, Ashutosh Pattnaik, Mahmut T. Kandemir, Onur Mutlu, Ravishankar Iyer, Chita R. Das Jieming Yin, Onur Kayiran, Matthew Poremba, Natalie Enright Jerger, Gabriel H. Loh Rachata Ausavarungnirun, Saugata Ghose, Onur Kayiran, Gabriel H. Loh, Chita R. Das, Mahmut T. Kandemir, Onur Mutlu Adwait Jog, Onur Kayiran, Tuba Kesten, Ashutosh Pattnaik, Evgeny Bolotin, Niladrish Chatterjee, Stephen W. Keckler, Mahmut T. Kandemir, Chita R. Das, Onur Kayiran, Nachiappan CN, Adwait Jog, Rachata Ausavarungnirun, Mahmut T. Kandemir, Gabriel H. Loh, Onur Mutlu, Chita R. Das, Best Paper Nomination Adwait Jog, Onur Kayiran, Asit K. Mishra, Mahmut T. Kandemir, Onur Mutlu, Ravi Iyer, Chita R. Das, Adwait Jog, Onur Kayiran, Nachiappan CN, Asit K. Mishra, Mahmut T. Kandemir, Onur Mutlu, Ravishankar Iyer, Chita R. Das, Preemptive cache management policies for processing units, US10303602B2 Method and apparatus for performing memory prefetching, US10310981B2 Prioritizing local and remote memory access in a non-uniform memory access architecture, US10838864 Mechanism for dynamic latency-bandwidth trade-off for efficient broadcasts/multicasts, US10938709 Mechanism for distributed-system-aware difference encoding/decoding in graph analytics, US11068458 Adaptive cache reconfiguration via clustering, US11360891 Temporal Link Encoding, US11398831 Memory access response merging in a memory hierarchy, US11403221 Memory request priority assignment techniques for parallel processors, US11507522 Design and Analysis of Large-Scale GPU Architectures University of Rochester, December 2018 Challenges in Die-stacked GPU Architectures The College of William and Mary, January 2017 Efficient Synthetic Traffic Models for Large, Complex SoCs at HPCA 2016 Managing GPU Concurrency in Heterogeneous Architectures at MICRO 2014 Neither More Nor Less: Optimizing Thread-level Parallelism for GPGPUs at PACT 2013 Researcher at AMD Research, December 2016 - present Postdoc researcher at AMD Research, July 2015 - December 2016 Internship at AMD Research, January 2015 - June 2015 Internship at Samsung Information Systems America (SISA) R&D Center, June 2013 - August 2013 AMD Tackles Coming “Chiplet” Revolution With New Chip Network Scheme, June 22, 2018 AMD Expands Exascale Vision at IEEE HPC Symposium, March 7, 2017 AMD Researchers Eye APUs For Exascale, February 28, 2017 AMD reveals a Exascale MEGA APU in a new academic paper, February 21, 2017 Onur Kayiran, Onur Kayiran, Adwait Jog, Mahmut T. Kandemir, Chita R. Das, PhD in Computer Science and Engineering, The Pennsylvania State University, August 2010 - August 2015 MSc in Computer Engineering, San Jose State University, August 2008 - May 2010 BSc in Electrical and Electronics Engineering, Middle East Technical University, August 2003 - January 2008 High School: Ankara Atatürk Anadolu Lisesi Co-chair for: Program Committee Member for: ICPP 2022 GPGPU 2022 YArch 2022, 2021, 2020, 2019 NAS 2021 PACT 2020 uArch 2020 MICRO SRC 2020 ICS 2019 HPCA Industrial Track 2019 NAS 2017 Min-Move 2017 External Review Committee Member for: ISCA 2022 MICRO 2019 HPCA 2018 Reviewer for: TACO IEEE MICRO CAL TC TPDS TCAD JPDC FGCS MICPRO External reviewer for: ICS 2016 HPCA 2014 MICRO 2012
Enjoys tennis, snooker, playing the drums and the guitar, history and cooking
The ACM SIGMETRICS 2019
(SIGMETRICS), Phoenix, AZ, June 2019
(Acceptance rate: 28/208 ≈ 13.4%)
Architectural Support for Efficient Large-Scale Automata Processing,
In the Proceedings of The 51st Annual IEEE/ACM International Symposium on Microarchitecture
(MICRO), Fukuoka, Japan, October 2018
(Acceptance rate: 74/348 = %21.3)
Modular Routing Design for Chiplet-based Systems,
In the Proceedings of The 45th International Symposium on Computer Architecture
(ISCA), Los Angeles, CA, June 2018
(Acceptance rate: 64/373 = %17.2)
Efficient and Fair Multi-programming in GPUs via Pattern-based Effective Bandwidth Management,
In the Proceedings of The 24th IEEE International Symposium on High-Performance Computer Architecture
(HPCA), Vienna, Austria, February 2018
(Acceptance rate: 54/260 = %20.8)
Lost in Abstraction: Pitfalls of Analyzing GPUs at the Intermediate Language Level,
In the Proceedings of The 24th IEEE International Symposium on High-Performance Computer Architecture
(HPCA) - Industrial Track, Vienna, Austria, February 2018
(Acceptance rate: 54/322 = %16.8)
Controlled Kernel Launch for Dynamic Parallelism in GPUs,
In the Proceedings of The 23rd IEEE Symposium on High Performance Computer Architecture
(HPCA), Austin, TX, February 2017
(Acceptance rate: 50/224 = %22.3)
Design and Analysis of an APU for Exascale Computing,
In the Proceedings of The 23rd IEEE Symposium on High Performance Computer Architecture
(HPCA) - Industrial Track, Austin, TX, February 2017
(Acceptance rate: 31/139 ≈ 22.3%)
(Acceptance rate: 31/139 ≈ 22.3%)
OSCAR: Orchestrating STT-RAM Cache Traffic for Heterogeneous CPU-GPU Architectures,
In the Proceedings of The 49th IEEE/ACM International Symposium on Microarchitecture
(MICRO), Taipei, Taiwan, October 2016
(Acceptance rate: 61/288 ≈ 21.2%)
(Acceptance rate: 43/178 ≈ 24.2%)
(Acceptance rate: 28/208 ≈ 13.4%)
[Slides]
Efficient Synthetic Traffic Models for Large, Complex SoCs,
Proceedings of The 22nd International Symposium on High Performance Computer Architecture
(HPCA), Barcelona, Spain, March 2016
(Acceptance rate: 53/245 ≈ 21.6%)
[Slides]
Exploiting Inter-Warp Heterogeneity to Improve GPGPU Performance,
Proceedings of The 24th International Conference on Parallel Architectures and Compilation Techniques
(PACT), San Francisco, CA, October 2015
(Acceptance rate: 38/179 ≈ 21.2%)
[Slides]
[Slides]
Managing GPU Concurrency in Heterogeneous Architectures,
Proceedings of The 47th International Symposium on Microarchitecture
(MICRO), Cambridge, UK, December 2014
(Acceptance rate: 53/273 ≈ 19.4%)
[Summary]
[Slides]
[Lightning Slides]
[Poster]
Onur Kayiran, Adwait Jog, Mahmut T. Kandemir, Chita R. Das,
Neither More Nor Less: Optimizing Thread-level Parallelism for GPGPUs,
Proceedings of The 22nd International Conference on Parallel Architectures and Compilation Techniques
(PACT), Edinburgh, Scotland, September 2013
(Acceptance rate: 36/208 ≈ 17.3%)
[Slides]
(Acceptance rate: 56/288 ≈ 19.4%)
[Slides]
(Acceptance rate: 44/191 ≈ 23.0%)
[Slides]
Patents
Talks
Experience
Press Coverage and External Articles
PhD Dissertation
Parallelism-aware Resource Management Techniques for Many-core Architectures,
Committee: Chita Das, Mahmut Kandemir,
Yuan Xie, Kenneth Jenkins,
Onur MutluTechnical Reports
Neither More Nor Less: Optimizing Thread-level Parallelism for GPGPUs,
TR-CSE-2012-006, CSE-Penn State Tech Report, Sept 2012
[Bib]Educational Background
Service
PhD Committee Member
Memberships
Other
Links