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Onur Kayiran
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Journal Articles
- 2018
- [j2]Xulong Tang, Ashutosh Pattnaik, Onur Kayiran, Adwait Jog, Mahmut Taylan Kandemir, Chita R. Das:
Quantifying Data Locality in Dynamic Parallelism in GPUs. Proc. ACM Meas. Anal. Comput. Syst. 2(3): 39:1-39:24 (2018) - [j1]Hyojong Kim, Ramyad Hadidi, Lifeng Nai, Hyesoon Kim, Nuwan Jayasena, Yasuko Eckert, Onur Kayiran, Gabriel H. Loh:
CODA: Enabling Co-location of Computation and Data for Multiple GPU Systems. ACM Trans. Archit. Code Optim. 15(3): 32:1-32:23 (2018)
Conference and Workshop Papers
- 2023
- [c27]Gabriel H. Loh, Michael J. Schulte, Mike Ignatowski, Vignesh Adhinarayanan, Shaizeen Aga, Derrick Aguren, Varun Agrawal, Ashwin M. Aji, Johnathan Alsop, Paul T. Bauman, Bradford M. Beckmann, Majed Valad Beigi, Sergey Blagodurov, Travis Boraten, Michael Boyer, William C. 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, Alan Lee, Daniel Lowell, Niti Madan, Abhinandan Majumdar, Nicholas Malaya, Srilatha Manne, Susumu Mashimo, Damon McDougall, Elliot Mednick, Michael Mishkin, Mark Nutter, Indrani Paul, Matthew Poremba, Brandon Potter, Kishore Punniyamurthy, Sooraj Puthoor, Steven E. Raasch, Karthik Rao, Gregory Rodgers, Marko Scrbak, Mohammad Seyedzadeh, John Slice, Vilas Sridharan, René van Oostrum, Eric Van Tassell, Abhinav Vishnu, Samuel Wasmundt, Mark Wilkening, Noah Wolfe, Mark Wyse, Adithya Yalavarti, Dmitri Yudanov:
A Research Retrospective on AMD's Exascale Computing Journey. ISCA 2023: 81:1-81:14 - 2021
- [c26]Mohamed Assem Ibrahim, Onur Kayiran, Yasuko Eckert, Gabriel H. Loh, Adwait Jog:
Analyzing and Leveraging Decoupled L1 Caches in GPUs. HPCA 2021: 467-478 - [c25]Mohamed Assem Ibrahim, Onur Kayiran, Shaizeen Aga:
Efficient Cache Utilization via Model-aware Data Placement for Recommendation Models. MEMSYS 2021: 2:1-2:11 - 2020
- [c24]Mohamed Assem Ibrahim, Onur Kayiran, Yasuko Eckert, Gabriel H. Loh, Adwait Jog:
Analyzing and Leveraging Shared L1 Caches in GPUs. PACT 2020: 161-173 - 2019
- [c23]Mohamed Assem Ibrahim, Hongyuan Liu, Onur Kayiran, Adwait Jog:
Analyzing and Leveraging Remote-Core Bandwidth for Enhanced Performance in GPUs. PACT 2019: 258-271 - [c22]Johnathan Alsop, Xianwei Zhang, Tsung Tai Yeh, Bradford M. Beckmann, Matthew D. Sinclair, Srikant Bharadwaj, Alexandru Dutu, Anthony Gutierrez, Onur Kayiran, Michael LeBeane, Brandon Potter, Sooraj Puthoor:
Optimizing GPU Cache Policies for MI Workloads. IISWC 2019: 243-248 - [c21]Ashutosh Pattnaik, Xulong Tang, Onur Kayiran, Adwait Jog, Asit K. Mishra, Mahmut T. Kandemir, Anand Sivasubramaniam, Chita R. Das:
Opportunistic computing in GPU architectures. ISCA 2019: 210-223 - [c20]Xulong Tang, Ashutosh Pattnaik, Onur Kayiran, Adwait Jog, Mahmut Taylan Kandemir, Chita R. Das:
Quantifying Data Locality in Dynamic Parallelism in GPUs. SIGMETRICS (Abstracts) 2019: 25-26 - 2018
- [c19]Haonan Wang, Fan Luo, Mohamed Assem Ibrahim, Onur Kayiran, Adwait Jog:
Efficient and Fair Multi-programming in GPUs via Effective Bandwidth Management. HPCA 2018: 247-258 - [c18]Anthony Gutierrez, Bradford M. Beckmann, Alexandru Dutu, Joseph Gross, Michael LeBeane, John Kalamatianos, Onur Kayiran, Matthew Poremba, Brandon Potter, Sooraj Puthoor, Matthew D. Sinclair, Mark Wyse, Jieming Yin, Xianwei Zhang, Akshay Jain, Timothy G. Rogers:
Lost in Abstraction: Pitfalls of Analyzing GPUs at the Intermediate Language Level. HPCA 2018: 608-619 - [c17]Jieming Yin, Zhifeng Lin, Onur Kayiran, Matthew Poremba, Muhammad Shoaib Bin Altaf, Natalie D. Enright Jerger, Gabriel H. Loh:
Modular Routing Design for Chiplet-Based Systems. ISCA 2018: 726-738 - [c16]Hongyuan Liu, Mohamed Assem Ibrahim, Onur Kayiran, Sreepathi Pai, Adwait Jog:
Architectural Support for Efficient Large-Scale Automata Processing. MICRO 2018: 908-920 - 2017
- [c15]Thiruvengadam Vijayaraghavan, Yasuko Eckert, Gabriel H. Loh, Michael J. Schulte, Mike Ignatowski, Bradford M. Beckmann, William C. Brantley, Joseph L. Greathouse, Wei Huang, Arun Karunanithi, Onur Kayiran, Mitesh R. Meswani, Indrani Paul, Matthew Poremba, Steven Raasch, Steven K. Reinhardt, Greg Sadowski, Vilas Sridharan:
Design and Analysis of an APU for Exascale Computing. HPCA 2017: 85-96 - [c14]Xulong Tang, Ashutosh Pattnaik, Huaipan Jiang, Onur Kayiran, Adwait Jog, Sreepathi Pai, Mohamed Assem Ibrahim, Mahmut T. Kandemir, Chita R. Das:
Controlled Kernel Launch for Dynamic Parallelism in GPUs. HPCA 2017: 649-660 - [c13]Matthew Poremba, Itir Akgun, Jieming Yin, Onur Kayiran, Yuan Xie, Gabriel H. Loh:
There and Back Again: Optimizing the Interconnect in Networks of Memory Cubes. ISCA 2017: 678-690 - 2016
- [c12]Onur Kayiran, Adwait Jog, Ashutosh Pattnaik, Rachata Ausavarungnirun, Xulong Tang, Mahmut T. Kandemir, Gabriel H. Loh, Onur Mutlu, Chita R. Das:
μC-States: Fine-grained GPU Datapath Power Management. PACT 2016: 17-30 - [c11]Ashutosh Pattnaik, Xulong Tang, Adwait Jog, Onur Kayiran, Asit K. Mishra, Mahmut T. Kandemir, Onur Mutlu, Chita R. Das:
Scheduling Techniques for GPU Architectures with Processing-In-Memory Capabilities. PACT 2016: 31-44 - [c10]Jieming Yin, Onur Kayiran, Matthew Poremba, Natalie D. Enright Jerger, Gabriel H. Loh:
Efficient synthetic traffic models for large, complex SoCs. HPCA 2016: 297-308 - [c9]Reena Panda, Yasuko Eckert, Nuwan Jayasena, Onur Kayiran, Michael Boyer, Lizy Kurian John:
Prefetching Techniques for Near-memory Throughput Processors. ICS 2016: 40:1-40:14 - [c8]Jia Zhan, Onur Kayiran, Gabriel H. Loh, Chita R. Das, Yuan Xie:
OSCAR: Orchestrating STT-RAM cache traffic for heterogeneous CPU-GPU architectures. MICRO 2016: 28:1-28:13 - [c7]Adwait Jog, Onur Kayiran, Ashutosh Pattnaik, Mahmut T. Kandemir, Onur Mutlu, Ravishankar R. Iyer, Chita R. Das:
Exploiting Core Criticality for Enhanced GPU Performance. SIGMETRICS 2016: 351-363 - 2015
- [c6]Rachata Ausavarungnirun, Saugata Ghose, Onur Kayiran, Gabriel H. Loh, Chita R. Das, Mahmut T. Kandemir, Onur Mutlu:
Exploiting Inter-Warp Heterogeneity to Improve GPGPU Performance. PACT 2015: 25-38 - [c5]Adwait Jog, Onur Kayiran, Tuba Kesten, Ashutosh Pattnaik, Evgeny Bolotin, Niladrish Chatterjee, Stephen W. Keckler, Mahmut T. Kandemir, Chita R. Das:
Anatomy of GPU Memory System for Multi-Application Execution. MEMSYS 2015: 223-234 - 2014
- [c4]Onur Kayiran, Nachiappan Chidambaram Nachiappan, Adwait Jog, Rachata Ausavarungnirun, Mahmut T. Kandemir, Gabriel H. Loh, Onur Mutlu, Chita R. Das:
Managing GPU Concurrency in Heterogeneous Architectures. MICRO 2014: 114-126 - 2013
- [c3]Onur Kayiran, Adwait Jog, Mahmut T. Kandemir, Chita R. Das:
Neither more nor less: Optimizing thread-level parallelism for GPGPUs. PACT 2013: 157-166 - [c2]Adwait Jog, Onur Kayiran, Nachiappan Chidambaram Nachiappan, Asit K. Mishra, Mahmut T. Kandemir, Onur Mutlu, Ravishankar R. Iyer, Chita R. Das:
OWL: cooperative thread array aware scheduling techniques for improving GPGPU performance. ASPLOS 2013: 395-406 - [c1]Adwait Jog, Onur Kayiran, Asit K. Mishra, Mahmut T. Kandemir, Onur Mutlu, Ravishankar R. Iyer, Chita R. Das:
Orchestrated scheduling and prefetching for GPGPUs. ISCA 2013: 332-343
Editorship
- 2020
- [e2]Adwait Jog, Onur Kayiran, Ashutosh Pattnaik:
GPGPU@PPoPP '20: 13th Annual Workshop on General Purpose Processing using Graphics Processing Unit colocated with 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, San Diego, California, USA, February 23, 2020. ACM 2020, ISBN 978-1-4503-7025-7 [contents] - 2019
- [e1]Adwait Jog, Onur Kayiran:
Proceedings of the 12th Workshop on General Purpose Processing Using GPUs, GPGPU@ASPLOS 2019, Providence, RI, USA, April 13, 2019. ACM 2019, ISBN 978-1-4503-6255-9 [contents]
Informal and Other Publications
- 2019
- [i3]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. CoRR abs/1910.00134 (2019) - 2018
- [i2]Rachata Ausavarungnirun, Saugata Ghose, Onur Kayiran, Gabriel H. Loh, Chita R. Das, Mahmut T. Kandemir, Onur Mutlu:
Holistic Management of the GPGPU Memory Hierarchy to Manage Warp-level Latency Tolerance. CoRR abs/1804.11038 (2018) - 2017
- [i1]Hyojong Kim, Ramyad Hadidi, Lifeng Nai, Hyesoon Kim, Nuwan Jayasena, Yasuko Eckert, Onur Kayiran, Gabriel H. Loh:
CODA: Enabling Co-location of Computation and Data for Near-Data Processing. CoRR abs/1710.09517 (2017)
Coauthor Index
aka: Mahmut Taylan Kandemir
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