What I Do
I research and design hardware architectures and software systems that improve
performance, energy-efficiency and programmer productivity. Most of my work has focused on
architectural changes to general-purpose hardware accelerators like GPUs.
In 2016 I started as an assistant
professor of Computer Engineering at Purdue University,
where I lead the AALP research group.
Bio
Academically, I am a computer architect. I study the design of the hardware components that efficiently solve problems written in software. My research has been recognized with an NSF Career Award in 2020, an NVIDIA graduate fellowship in 2013, best paper nominations at MICRO 2012, PPoPP 2017 and ISPASS 2021, an IEEE Micro Top Picks in Computer Architecture in 2013, as a Communications of the ACM Research Highlight in 2014, and my PhD thesis was nominated for the Governor General of Canada's Gold Medal and the 2016 ACM Doctoral Dissertation Award. My teaching has been recognized with multiple Outstanding Engineering Teacher citations, the 2018 Ruth and Joel Spira Award for Excellence in Teaching, the 2020 Hesselberth Award for Teaching Excellence, and the 2022 College of Engineering Excellence in Early Career Teaching Award. I completed my PhD in Computer Architecture at the University of British Columbia in 2015. During the course of my PhD, I interned for the research divisions of both AMD and NVIDIA, where I worked on the design of future GPU computing microarchitectures. Prior to entering graduate school, I worked as a software engineer at Electronic Arts where I gained insight into how industrial software is really made.
Research Interests
Generally, I am interested in researching way to create fast, energy-efficient computing systems that are simple and intuitive to program. To this end, I am most interested in exploring full-stack solutions that help solve the energy-efficiency crisis facing both large and small-scale computing systems today.Students
I am actively seeking motivated, resourceful, dedicated PhD students who are interested in computer architecture and software systems to start both immediately and in the fall of 2020. Choosing a PhD advisor is probably one of the most important things you do in the first few years of graduate school. I think it is very important to choose one who not only does research in a field you find interesting, but also that you work well with. Graduate school is a lot of work, but given the right mix of motivation, creativity and diligence, it can be very rewarding and a lot of fun.
Publications
Google Scholar Profile2023
| HPCA |
Aaron Barnes, Fangjia Shen, and Timothy G. Rogers. Mitigating GPU Core Partitioning Performance Effects. In proceedings of the 29th IEEE International Symposium on High-Performance Computer Architecture (HPCA 2023). Acceptance rate: (91/364) = 25%. |
2022
| MICRO |
Mahmoud Khairy, Ahmad Alawneh, Aaron Barnes, and Timothy G. Rogers. SIMR: Single Instruction Multiple Request Processing for Energy-Efficient Data Center Microservices. In proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture (MICRO). Acceptance rate: (86/348) = 22%. |
| ISPASS |
Ahmad Alawneh, Mahmoud Khairy and Timothy G Rogers. A SIMT Analyzer for Multi-Threaded CPU Applications. Poster in The 2022 IEEE International Symposium on Performance Analysis of Systems and Software, Singapore, May 2022 |
2021
| MICRO |
Cesar Avalos, Mahmoud Khairy, Roland N. Green, Mathias Payer, Timothy G. Rogers. Principal Kernel Analysis: A Tractable Methodology to Simulate Scaled GPU Workloads. In proceedings of the 54th IEEE/ACM International Symposium on Microarchitecture (MICRO). Acceptance rate: (94/430) = 21.9%. |
| MICRO |
Vijay Kandiah, Scott Peverelle, Mahmoud Khairy, Amogh Manjunath, Junrui Pan, Timothy G. Rogers, Tor Aamodt, Nikos Hardavellas. AccelWattch: A Power Modeling Framework for Modern GPUs. In proceedings of the 54th IEEE/ACM International Symposium on Microarchitecture (MICRO). Acceptance rate: (94/430) = 21.9%. |
| ISPASS |
Mengchi Zhang, Ahmad Alawneh, Timothy G Rogers. Characterizing Massively Parallel Polymorphism. In the proceedings of the 2021 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS 2021) . Acceptance rate: (24/65) = 36.9%. (Best Paper Nominee) |
| ASPLOS |
Mengchi Zhang, Ahmad Alawneh, Timothy G Rogers. Judging a Type by its Pointer: Optimizing Virtual Function Calls on GPUs. In the 26th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS-2021). Acceptance rate: (75/398) = 18.8%. |
| HPCA |
Tsung Tai Yeh, Matthew D. Sinclair, Brad Beckmann, Timothy G Rogers. Deadline-Aware Offloading for High-Throughput Accelerators. In the 27th IEEE International Symposium on High-Performance Computer Architecture (HPCA-2021). Acceptance rate: (63/258) = 24.4%. |
2020
| MICRO |
Mahmoud Khairy, Vadim Nikiforov, David Nellans, Timothy G Rogers. Locality-Centric Data and Threadblock Management for Massive GPUs. In proceedings of the 53rd IEEE/ACM International Symposium on Microarchitecture (MICRO). Acceptance rate: (82/424) = 19.3%. |
| MICRO |
Yuan Hsi Chou, Christopher Ng, Shaylin Cattel, Jeremy Intan, Mattew Sinclair, Joseph Devietti, Timothy G Rogers, Tor M. Aamodt. Deterministic Atomic Buffering. In proceedings of the 53rd IEEE/ACM International Symposium on Microarchitecture (MICRO). Acceptance rate: (82/424) = 19.3%. |
| ISCA |
Mahmoud Khairy, Zhesheng Shen, Tor M. Aamodt, Timothy G Rogers. Accel-Sim: An Extensible Simulation Framework for Validated GPU Modeling. In proceedings of the 47th IEEE/ACM International Symposium on Computer Architecture (ISCA). Acceptance rate: (77/421) = 18.3%. |
| ASPLOS |
Tsung Tai Yeh, Roland N Green, Timothy G Rogers. Dimensionality-Aware Redundant SIMT Instruction Elimination. In proceedings of the 25th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS). Acceptance rate: (86/476) = 18.1%. |
2019
| PACT |
Mengchi Zhang, Roland N Green, Timothy G Rogers. POSTER: Quantifying the Direct Overhead of Virtual Function Calls on Massively Parallel Architectures Proceedings of the IEEE 28th International Conference on Parallel Architectures and Compilation Techniques (PACT) |
| TOPC |
Tsung Tai Yeh, Amit Sabne, Putt Sakdhnagool, Rudolf Eigenmann, and Timothy G. Rogers, Pagoda: A GPU Runtime System For Narrow Tasks. In the ACM Transactions on Parallel Computing (Invited publication) |
| ISPASS |
Mahmoud Khairy, Akshay Jain, Tor Aamodt and Timothy G. Rogers, A Detailed Model for Contemporary GPU Memory Systems. Poster in the 2019 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS-2019) |
| ISPASS |
Jonathan Lew, Deval Shah, Suchita Pati, Shaylin Cattell, Mengchi Zhang, Amruth Sandhupatla, Christopher Ng, Negar Goli, Matthew Sinclair, Timothy G. Rogers and Tor Aamodt, Analyzing Machine Learning Workloads Using a Detailed GPU Simulator. Poster in the 2019 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS-2019). Full Arxiv Paper. |
2018
| Synthesis Lectures on Computer Architecture |
Tor M. Aamodt, Wilson Wai Lun, Timothy G. Rogers, General-Purpose Graphics Processor Architectures. Morgan & Claypool Publishers. May 2018. |
| SIGMETRICS |
Akshay Jain, Mahmoud Khairy, Timothy G. Rogers, A Quantitative Evaluation of Contemporary GPU Simulation Methodology. To appear in the 2018 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Science (SIGMETRICS-2018), Irvine, California (acceptance rate 18.5%). |
| ISPASS |
Mengchi Zhang, Roland Green, Timothy G. Rogers, Characterizing the Runtime Effects of Object-Oriented Workloads on GPUs. Poster in the 2018 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS-2018) |
| HPCA |
Anthony Gutierrez, Bradford M. Beckmann, Alexandru Dutu, Joseph Gross, John Kalamatianos, Onur Kayiran, Michael LeBeane, 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. In the 24th IEEE International Symposium on High-Performance Computer Architecture (HPCA-2018). |
2017
| PPoPP |
Tsung Tai Yeh, Amit Sabne, Putt Sakdhnagool, Rudolf Eigenmann, Timothy G. Rogers, Pagoda: Fine-Grained GPU Resource Virtualization for Narrow Tasks. To appear in proceedings of 22nd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP-2017), Austin, Texas. (acceptance rate 29/132 = 22.0%) Best Paper Nominee |
2016
| PACT |
 POSTER: Pagoda: A Runtime System to Maximize GPU Utilization in Data Parallel Tasks with Limited ParallelismTsung Tai Yeh, Amit Sabne, Putt Sakdhnagool, Rudolf Eigenmann, Timothy G. Rogers PACT '16 Proceedings of the 2016 International Conference on Parallel Architectures and Compilation, 2016 |
2015
| ISCA |
A Variable Warp Size Architecture Timothy G. Rogers, Daniel R. Johnson, Mike O'Connor, Stephen W. Keckler ISCA '15 Proceedings of the 42nd Annual International Symposium on Computer Architecture, 2015. (acceptance rate: 58/305 ≈ 19.0%) |
2014
| CACM |
2013
| MICRO |
Divergence-aware warp scheduling Timothy G. Rogers, Mike O'Connor, Tor M. Aamodt MICRO-46 Proceedings of the 46th Annual IEEE/ACM International Symposium on Microarchitecture, 2013. (acceptance rate: 39/239 ≈ 16.3%) |
| Top Picks |
Timothy G. Rogers, Mike O'Connor, Tor M. Aamodt, Cache-Conscious Thread Scheduling for Massively Multithreaded Processors, IEEE Micro, Special Issue: Micro's Top Picks from 2012 Computer Architecture Conferences, 2013. |
2012
| MICRO |
Timothy G. Rogers, Mike O'Connor, Tor M. Aamodt, Cache-Conscious Wavefront Scheduling, In proceedings of the 45th IEEE/ACM International Symposium on Microarchitecture (MICRO-45), pp. 72-83 Vancouver, BC, December 1-5, 2012. (acceptance rate: 40/228 ≈ 17.5%) (slides, poster, simulator code, benchmarks). Best Paper Runner-Up, Selected for IEEE Micro Top Picks |
| ISPASS |
Tayler H. Hetherington, Timothy G. Rogers, Lisa Hsu, Mike O'Connor, Tor M. Aamodt, Characterizing and Evaluating a Key-Value Store Application on Heterogeneous CPU-GPU Systems, In Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), New Brunswick, NJ, April 1-3, 2012. code, slides. (acceptance rate: 20/65 ≈ 30.8%) |
Patents
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Timothy G Rogers, Bradford M Beckmann, James M O'connor, Data Processor and Method of Lane Realignment. US Patent Application No. 14/045114. Applied 2013. |
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Timothy G Rogers, Bradford M Beckmann, James M O'connor, High level software execution mask override. US Patent No. 9,317,296. Applied 2012. Granted 2016. |
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Timothy G Rogers, Bradford M Beckmann, James M O'connor, Creating SIMD efficient code by transferring register state through common memory. US Patent No. 9,354,892. Applied 2012. Granted 2016. |
Course Instruction
Purdue
ECE 695: Programmable Accelerator Architectures (Spring 2018)ECE 362: Microprocessor System Design and Interfacing. (Spring 2016, Spring 2017, Fall 2017)
ECE 565: Computer Architecture (Fall 2016, Fall 2018)
UBC
EECE 476: Computer Architecture (Spring 2015)Yesterday's News
Apr 2022: Awarded CoE Faculty Excellence Award in Early Career TeachingMar 2022: Congrats Ahmad - Poster at ISPASS'22.
Jul 2021: 2 papers @MICRO 2021. Congrats Cesar, Mahmoud (x2), Roland, Amogh and Junrui. Thanks to collaborators at EPFL, Northwestern, and UBC.
Feb 2021: Congrats Mengchi and Ahmad, paper at best paper nominee at ISPASS.
Nov 2020: Congrats Mengchi and Ahmad, paper at ASPLOS 2021.
Nov 2020: Paper at HPCA 2021 congrats Tsung Tai, and thanks to collaborators at Wisconsin and AMD.
Oct 2020: Accel-Sim v1.1.0 officially released.
Jul 2020: 2 papers @MICRO 2020: Congrats Mahmoud, and thanks to collaborators at Wisconsin, UPenn and UBC.
Jul 2020: Awarded the 2020 Hesselberth Award for Teaching Excellence.
July 2020: Accel-Sim v1.0.0 officially released.
July 2020: MICRO PC
March 2020: Congrats Mahmoud - Paper at ISCA 2020.
Jan 2020: NSF Career Award to study accessible accelerators.
Nov 2019: Congrats Tsung Tai - Paper at ASPLOS 2020.
July 2019: NSF Funding to study NUMA Accelerators.
June 2019: Research group joins ADA SRC JUMP Center.
Sept 2019: Congratulations Mengchi - Poster at Pact 2019
July 2019: MICRO PC
May 2019: Congratulations Tsung Tai, invited TOPC paper accepted.
Jan 2019: GPU Simulation Posters at ISPASS 2019.
Nov 2018: Awarded 2018 Joel and Ruth Spira Excellence in Teaching Award.
Oct 2018: Thanks Mahmoud for major modeling update to GPGPU-Sim. Volta modeled and correlated. Now integrated into GPGPU-Sim.
Oct 2018: Talk at Sandia National Labs.
Oct. 2018: HPCA 2018 External PC.
Aug. 2018: Taught short course at Qualcomm, San Diego.
May 2018: Morgan & Claypool GPU Architecture book published.
Apr. 2018: Congratulations Akshay and Mahmoud - Paper at SIGMETRICS 2018.
Mar. 2018: IISWC PC.
Feb. 2018: Congratulations Mengchi - Poster at ISPASS 2018.
Jan. 2018: DAC-18 PC.
Dec. 2017: GPGPU-18 PC.
Nov. 2017: AMD Collaboration paper at HPCA-2018.
Nov. 2017: IPDPS-2018 PC.
Oct. 2017: Thanks to Sandia National Labs: funding for GPGPU-Sim integration.
Feb. 2017: Talk at NVIDIA Research in Austin.
Jan. 2017: Congratulations Tsung Tai and Amit. Best Paper nominee at PPoPP 2017.
Jan. 2017: Started teaching ECE 362.
Dec. 2016: Served on the Programme Committee for GPGPU-10
Nov. 2016: Congratulations Tsung Tai and Amit. Paper accepted at PPoPP 2017.
Sept. 2016: Talk at Technion, Israel.
Sept. 2016: Started teaching ECE 565 - Computer Architecture.
Jun. 2016: Congratulations Tsung Tai and Amit. Poster accepted at PACT 2016.
May 2016: Served on the Programme Committee for IEEE NAS-2016
Feb. 2016: Served on the Programme Committee for GPGPU-9
Jan. 2016: Served on the Programme Committee for ISPASS 2016
Jan. 2016: Started co-instructing ECE 362
Jan. 2016: Joined the School of Electrical and Computer Engineering at Purdue University
Contact Info
Office: EE 326AOffice Phone: 765-494-1743
E-mail: timrogers@purdue.edu
Purdue University
School of Electrical and Computer Engineering
Electrical Engineering Building
465 Northwestern Ave.
West Lafayette, Indiana 47907-2035