Timothy G. Rogers

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 24

Top Topics

Massively Parallel

Intrinsic Dimensionality

Quantitative Evaluation

Learning Disabled Students

Top Venues

Publications

Aaron Barnes, Fangjia Shen, Timothy G. Rogers
Mitigating GPU Core Partitioning Performance Effects. HPCA (2023)
Mahmoud Khairy, Ahmad Alawneh, Aaron Barnes, Timothy G. Rogers
SIMR: Single Instruction Multiple Request Processing for Energy-Efficient Data Center Microservices. MICRO (2022)
Ahmad Alawneh, Mahmoud Khairy, Timothy G. Rogers
A SIMT Analyzer for Multi-Threaded CPU Applications. ISPASS (2022)
Tsung Tai Yeh, Matthew D. Sinclair, Bradford M. Beckmann, Timothy G. Rogers
Deadline-Aware Offloading for High-Throughput Accelerators. HPCA (2021)
Vijay Kandiah, Scott Peverelle, Mahmoud Khairy, Junrui Pan, Amogh Manjunath, Timothy G. Rogers, Tor M. Aamodt, Nikos Hardavellas
AccelWattch: A Power Modeling Framework for Modern GPUs. MICRO (2021)
Mengchi Zhang, Ahmad Alawneh, Timothy G. Rogers
Characterizing Massively Parallel Polymorphism. ISPASS (2021)
Cesar Avalos Baddouh, Mahmoud Khairy, Roland N. Green, Mathias Payer, Timothy G. Rogers
Principal Kernel Analysis: A Tractable Methodology to Simulate Scaled GPU Workloads. MICRO (2021)
Mengchi Zhang, Ahmad Alawneh, Timothy G. Rogers
Judging a type by its pointer: optimizing GPU virtual functions. ASPLOS (2021)
Mahmoud Khairy, Vadim Nikiforov, David W. Nellans, Timothy G. Rogers
Locality-Centric Data and Threadblock Management for Massive GPUs. MICRO (2020)
Mahmoud Khairy, Zhesheng Shen, Tor M. Aamodt, Timothy G. Rogers
Accel-Sim: An Extensible Simulation Framework for Validated GPU Modeling. ISCA (2020)
Yuan-Hsi Chou, Christopher Ng, Shaylin Cattell, Jeremy Intan, Matthew D. Sinclair, Joseph Devietti, Timothy G. Rogers, Tor M. Aamodt
Deterministic Atomic Buffering. MICRO (2020)
Tsung Tai Yeh, Roland N. Green, Timothy G. Rogers
Dimensionality-Aware Redundant SIMT Instruction Elimination. ASPLOS (2020)
Mengchi Zhang, Roland N. Green, Timothy G. Rogers
POSTER: Quantifying the Direct Overhead of Virtual Function Calls on Massively Parallel Architectures. PACT (2019)
Jonathan Lew, Deval A. Shah, Suchita Pati, Shaylin Cattell, Mengchi Zhang, Amruth Sandhupatla, Christopher Ng, Negar Goli, Matthew D. Sinclair, Timothy G. Rogers, Tor M. Aamodt
Analyzing Machine Learning Workloads Using a Detailed GPU Simulator. ISPASS (2019)
Tsung Tai Yeh, Amit Sabne, Putt Sakdhnagool, Rudolf Eigenmann, Timothy G. Rogers
Pagoda: A GPU Runtime System for Narrow Tasks. ACM Trans. Parallel Comput. 6 (4) (2019)
Mahmoud Khairy, Akshay Jain, Tor M. Aamodt, Timothy G. Rogers
A Detailed Model for Contemporary GPU Memory Systems. ISPASS (2019)
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)
Mengchi Zhang, Roland N. Green, Timothy G. Rogers
Characterizing the Runtime Effects of Object-Oriented Workloads on GPUs. ISPASS (2018)
Akshay Jain, Mahmoud Khairy, Timothy G. Rogers
A Quantitative Evaluation of Contemporary GPU Simulation Methodology. SIGMETRICS (Abstracts) (2018)
Mahmoud Khairy, Akshay Jain, Tor M. Aamodt, Timothy G. Rogers
Exploring Modern GPU Memory System Design Challenges through Accurate Modeling. CoRR (2018)
Akshay Jain, Mahmoud Khairy, Timothy G. Rogers
A Quantitative Evaluation of Contemporary GPU Simulation Methodology. Proc. ACM Meas. Anal. Comput. Syst. 2 (2) (2018)
Jonathan Lew, Deval Shah, Suchita Pati, Shaylin Cattell, Mengchi Zhang, Amruth Sandhupatla, Christopher Ng, Negar Goli, Matthew D. Sinclair, Timothy G. Rogers, Tor M. Aamodt
Analyzing Machine Learning Workloads Using a Detailed GPU Simulator. CoRR (2018)
Tsung Tai Yeh, Amit Sabne, Putt Sakdhnagool, Rudolf Eigenmann, Timothy G. Rogers
Pagoda: Fine-Grained GPU Resource Virtualization for Narrow Tasks. PPOPP (2017)
Tsung Tai Yeh, Amit Sabne, Putt Sakdhnagool, Rudolf Eigenmann, Timothy G. Rogers
POSTER: Pagoda: A Runtime System to Maximize GPU Utilization in Data Parallel Tasks with Limited Parallelism. PACT (2016)
Timothy G. Rogers, Daniel R. Johnson, Mike O'Connor, Stephen W. Keckler
A variable warp size architecture. ISCA (2015)
Timothy G. Rogers, Mike O'Connor, Tor M. Aamodt
Learning your limit: managing massively multithreaded caches through scheduling. Commun. ACM 57 (12) (2014)
Timothy G. Rogers, Mike O'Connor, Tor M. Aamodt
Cache-Conscious Thread Scheduling for Massively Multithreaded Processors. IEEE Micro 33 (3) (2013)
Timothy G. Rogers, Mike O'Connor, Tor M. Aamodt
Divergence-aware warp scheduling. MICRO (2013)
Timothy G. Rogers, Mike O'Connor, Tor M. Aamodt
Cache-Conscious Wavefront Scheduling. MICRO (2012)
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. ISPASS (2012)