Neither more nor less: Optimizing thread-level parallelism for GPGPUs. - Onur Kayiran; Adwait Jog; Mahmut T. Kandemir; Chita R. Das (PACT, 2013)

OWL: cooperative thread array aware scheduling techniques for improving GPGPU performance. - Adwait Jog; Onur Kayiran; Nachiappan Chidambaram Nachiappan; Asit K. Mishra; Mahmut T. Kandemir; Onur Mutlu; Ravishankar R. Iyer 001; Chita R. Das (ASPLOS, 2013)

Orchestrated scheduling and prefetching for GPGPUs. - Adwait Jog; Onur Kayiran; Asit K. Mishra; Mahmut T. Kandemir; Onur Mutlu; Ravishankar R. Iyer 001; Chita R. Das (ISCA, 2013)

Managing GPU Concurrency in Heterogeneous Architectures. - Onur Kayiran; Nachiappan Chidambaram Nachiappan; Adwait Jog; Rachata Ausavarungnirun; Mahmut T. Kandemir; Gabriel H. Loh; Onur Mutlu; Chita R. Das (MICRO, 2014)

Exploiting Inter-Warp Heterogeneity to Improve GPGPU Performance. - Rachata Ausavarungnirun; Saugata Ghose; Onur Kayiran; Gabriel H. Loh; Chita R. Das; Mahmut T. Kandemir; Onur Mutlu (PACT, 2015)

Anatomy of GPU Memory System for Multi-Application Execution. - Adwait Jog; Onur Kayiran; Tuba Kesten; Ashutosh Pattnaik; Evgeny Bolotin; Niladrish Chatterjee; Stephen W. Keckler; Mahmut T. Kandemir; Chita R. Das (MEMSYS, 2015)

μC-States: Fine-grained GPU Datapath Power Management. - Onur Kayiran; Adwait Jog; Ashutosh Pattnaik; Rachata Ausavarungnirun; Xulong Tang; Mahmut T. Kandemir; Gabriel H. Loh; Onur Mutlu; Chita R. Das (PACT, 2016)

Scheduling Techniques for GPU Architectures with Processing-In-Memory Capabilities. - Ashutosh Pattnaik; Xulong Tang; Adwait Jog; Onur Kayiran; Asit K. Mishra; Mahmut T. Kandemir; Onur Mutlu; Chita R. Das (PACT, 2016)

Efficient synthetic traffic models for large, complex SoCs. - Jieming Yin; Onur Kayiran; Matthew Poremba; Natalie D. Enright Jerger; Gabriel H. Loh (HPCA, 2016)

Prefetching Techniques for Near-memory Throughput Processors. - Reena Panda; Yasuko Eckert; Nuwan Jayasena; Onur Kayiran; Michael Boyer; Lizy Kurian John (ICS, 2016)

OSCAR: Orchestrating STT-RAM cache traffic for heterogeneous CPU-GPU architectures. - Jia Zhan; Onur Kayiran; Gabriel H. Loh; Chita R. Das; Yuan Xie 001 (MICRO, 2016)

Exploiting Core Criticality for Enhanced GPU Performance. - Adwait Jog; Onur Kayiran; Ashutosh Pattnaik; Mahmut T. Kandemir; Onur Mutlu; Ravishankar R. Iyer 001; Chita R. Das (SIGMETRICS, 2016)

Controlled Kernel Launch for Dynamic Parallelism in GPUs. - Xulong Tang; Ashutosh Pattnaik; Huaipan Jiang; Onur Kayiran; Adwait Jog; Sreepathi Pai; Mohamed Assem Ibrahim; Mahmut T. Kandemir; Chita R. Das (HPCA, 2017)

Design and Analysis of an APU for Exascale Computing. - Thiruvengadam Vijayaraghavan; Yasuko Eckert; Gabriel H. Loh; Michael J. Schulte; Mike Ignatowski; Bradford M. Beckmann; William C. Brantley; Joseph L. Greathouse; Wei Huang 004; Arun Karunanithi; Onur Kayiran; Mitesh R. Meswani; et al. (HPCA, 2017)

There and Back Again: Optimizing the Interconnect in Networks of Memory Cubes. - Matthew Poremba; Itir Akgun; Jieming Yin; Onur Kayiran; Yuan Xie 001; Gabriel H. Loh (ISCA, 2017)

CODA: Enabling Co-location of Computation and Data for Near-Data Processing. - Hyojong Kim; Ramyad Hadidi; Lifeng Nai; Hyesoon Kim; Nuwan Jayasena; Yasuko Eckert; Onur Kayiran; Gabriel H. Loh (CoRR, 2017)

Lost in Abstraction: Pitfalls of Analyzing GPUs at the Intermediate Language Level. - 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; et al. (HPCA, 2018)

Efficient and Fair Multi-programming in GPUs via Effective Bandwidth Management. - Haonan Wang; Fan Luo; Mohamed Assem Ibrahim; Onur Kayiran; Adwait Jog (HPCA, 2018)

Modular Routing Design for Chiplet-Based Systems. - Jieming Yin; Zhifeng Lin; Onur Kayiran; Matthew Poremba; Muhammad Shoaib Bin Altaf; Natalie D. Enright Jerger; Gabriel H. Loh (ISCA, 2018)

Architectural Support for Efficient Large-Scale Automata Processing. - Hongyuan Liu 002; Mohamed Assem Ibrahim; Onur Kayiran; Sreepathi Pai; Adwait Jog (MICRO, 2018)

Holistic Management of the GPGPU Memory Hierarchy to Manage Warp-level Latency Tolerance. - Rachata Ausavarungnirun; Saugata Ghose; Onur Kayiran; Gabriel H. Loh; Chita R. Das; Mahmut T. Kandemir; Onur Mutlu (CoRR, 2018)

Quantifying Data Locality in Dynamic Parallelism in GPUs. - Xulong Tang; Ashutosh Pattnaik; Onur Kayiran; Adwait Jog; Mahmut Taylan Kandemir; Chita R. Das (Proc. ACM Meas. Anal. Comput. Syst., 2018)

CODA: Enabling Co-location of Computation and Data for Multiple GPU Systems. - Hyojong Kim; Ramyad Hadidi; Lifeng Nai; Hyesoon Kim; Nuwan Jayasena; Yasuko Eckert; Onur Kayiran; Gabriel H. Loh (ACM Trans. Archit. Code Optim., 2018)

Analyzing and Leveraging Remote-Core Bandwidth for Enhanced Performance in GPUs. - Mohamed Assem Ibrahim; Hongyuan Liu 002; Onur Kayiran; Adwait Jog (PACT, 2019)

Optimizing GPU Cache Policies for MI Workloads. - Johnathan Alsop; Xianwei Zhang 001; Tsung Tai Yeh; Bradford M. Beckmann; Matthew D. Sinclair; Srikant Bharadwaj; Alexandru Dutu; Anthony Gutierrez; Onur Kayiran; Michael LeBeane; Brandon Potter; Sooraj Puthoor (IISWC, 2019)

Opportunistic computing in GPU architectures. - Ashutosh Pattnaik; Xulong Tang; Onur Kayiran; Adwait Jog; Asit K. Mishra; Mahmut T. Kandemir; Anand Sivasubramaniam; Chita R. Das (ISCA, 2019)

Optimizing GPU Cache Policies for MI Workloads. - Johnathan Alsop; Matthew D. Sinclair; Srikant Bharadwaj; Alexandru Dutu; Anthony Gutierrez; Onur Kayiran; Michael LeBeane; Sooraj Puthoor; Xianwei Zhang 001; Tsung Tai Yeh; Bradford M. Beckmann (CoRR, 2019)

Analyzing and Leveraging Shared L1 Caches in GPUs. - Mohamed Assem Ibrahim; Onur Kayiran; Yasuko Eckert; Gabriel H. Loh; Adwait Jog (PACT, 2020)

Analyzing and Leveraging Decoupled L1 Caches in GPUs. - Mohamed Assem Ibrahim; Onur Kayiran; Yasuko Eckert; Gabriel H. Loh; Adwait Jog (HPCA, 2021)

Efficient Cache Utilization via Model-aware Data Placement for Recommendation Models. - Mohamed Assem Ibrahim; Onur Kayiran; Shaizeen Aga (MEMSYS, 2021)

A Research Retrospective on AMD's Exascale Computing Journey. - 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; et al. (ISCA, 2023)

Load and MLP-Aware Thread Orchestration for Recommendation Systems Inference on CPUs. - Rishabh Jain; Teyuh Chou; Onur Kayiran; John Kalamatianos; Gabriel H. Loh; Mahmut T. Kandemir; Chita R. Das (ASPLOS (2), 2025)