Matthew D. Sinclair

52 papers A* 11A 2B 7C 2Journal 24Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Wattchmen: Watching the Wattchers - High Fidelity, Flexible GPU Energy Modeling.
CoRR
Brandon Tran, Matthias Maiterth, Woong Shin, Matthew D. Sinclair, Shivaram Venkataraman
2025 J jnl
AI Benchmark Democratization and Carpentry.
CoRR
Gregor von Laszewski, Wesley Brewer, Jeyan Thiyagalingam, Juri Papay, Armstrong Foundjem, Piotr Luszczek, Murali Emani, Shirley V. Moore, Vijay Janapa Reddi, Matthew D. Sinclair, Sebastian Lobentanzer, Sujata S. Goswami, Benjamin Hawks, Marco Colombo, Nhan Tran, Christine R. Kirkpatrick, Abdulkareem Alsudais, Gregg Barrett, Tianhao Li, Kirsten N. Morehouse, Shivaram Venkataraman, Rutwik Jain, Kartik Mathur, Victor Lu, Tejinder Singh, Khojasteh Z. Mirza, Kongtao Chen, Sasidhar Kunapuli, Gavin Farrell, Renato Umeton, Geoffrey C. Fox
2025 J jnl
Adding MFMA Support to gem5.
CoRR
Marco Kurzynski, Matthew D. Sinclair
2025 J jnl
An MLCommons Scientific Benchmarks Ontology.
CoRR
Benjamin Hawks, Gregor von Laszewski, Matthew D. Sinclair, Marco Colombo, Shivaram Venkataraman, Rutwik Jain, Yiwei Jiang, Nhan Tran, Geoffrey C. Fox
2025 C conf
Characterizing GPU Energy Usage in Exascale-Ready Portable Science Applications.
ISC
William F. Godoy, Oscar R. Hernandez, Paul R. C. Kent, Maria Patrou, Kazi Asifuzzaman, Narasinga Rao Miniskar, Pedro Valero-Lara, Jeffrey S. Vetter, Matthew D. Sinclair, Jason Lowe-Power, Bobby R. Bruce
2025 J jnl
Characterizing GPU Energy Usage in Exascale-Ready Portable Science Applications.
CoRR
William F. Godoy, Oscar R. Hernandez, Paul R. C. Kent, Maria Patrou, Kazi Asifuzzaman, Narasinga Rao Miniskar, Pedro Valero-Lara, Jeffrey S. Vetter, Matthew D. Sinclair, Jason Lowe-Power, Bobby R. Bruce
2025 J jnl
GOLDYLOC: Global Optimizations & Lightweight Dynamic Logic for Concurrency.
ACM Trans. Archit. Code Optim.
Suchita Pati, Shaizeen Aga, Nuwan Jayasena, Matthew D. Sinclair
2024 A* conf
CPElide: Efficient Multi-Chiplet GPU Implicit Synchronization.
MICRO
Preyesh Dalmia, Rajesh Shashi Kumar, Matthew D. Sinclair
2024 J jnl
Global Optimizations & Lightweight Dynamic Logic for Concurrency.
CoRR
Suchita Pati, Shaizeen Aga, Nuwan Jayasena, Matthew D. Sinclair
2024 A conf
PAL: A Variability-Aware Policy for Scheduling ML Workloads in GPU Clusters.
SC
Rutwik Jain, Brandon Tran, Keting Chen, Matthew D. Sinclair, Shivaram Venkataraman
2024 J jnl
PAL: A Variability-Aware Policy for Scheduling ML Workloads in GPU Clusters.
CoRR
Rutwik Jain, Brandon Tran, Keting Chen, Matthew D. Sinclair, Shivaram Venkataraman
2024 — conf
T3: Transparent Tracking & Triggering for Fine-grained Overlap of Compute & Collectives.
ASPLOS (2)
Suchita Pati, Shaizeen Aga, Mahzabeen Islam, Nuwan Jayasena, Matthew D. Sinclair
2024 J jnl
T3: Transparent Tracking & Triggering for Fine-grained Overlap of Compute & Collectives.
CoRR
Suchita Pati, Shaizeen Aga, Mahzabeen Islam, Nuwan Jayasena, Matthew D. Sinclair
2023 J jnl
Computation vs. Communication Scaling for Future Transformers on Future Hardware.
CoRR
Suchita Pati, Shaizeen Aga, Mahzabeen Islam, Nuwan Jayasena, Matthew D. Sinclair
2023 J jnl
Fifty Years of ISCA: A data-driven retrospective on key trends.
CoRR
Gaurang Upasani, Matthew D. Sinclair, Adrian Sampson, Parthasarathy Ranganathan, David A. Patterson, Shaan Shah, Nidhi Parthasarathy, Rutwik Jain
2023 J jnl
Fifty Years of the International Symposium on Computer Architecture: A Data-Driven Retrospective.
IEEE Micro
Matthew D. Sinclair, Parthasarathy Ranganathan, Gaurang Upasani, Adrian Sampson, David A. Patterson, Rutwik Jain, Nidhi Parthasarathy, Shaan Shah
2023 J jnl
Improving the Scalability of GPU Synchronization Primitives.
IEEE Trans. Parallel Distributed Syst.
Preyesh Dalmia, Rohan Mahapatra, Jeremy Intan, Dan Negrut, Matthew D. Sinclair
2023 J jnl
Integrating Per-Stream Stat Tracking into Accel-Sim.
CoRR
Shichen Qiao, Xin Su, Matthew D. Sinclair
2023 — conf
Tale of Two Cs: Computation vs. Communication Scaling for Future Transformers on Future Hardware.
IISWC
Suchita Pati, Shaizeen Aga, Mahzabeen Islam, Nuwan Jayasena, Matthew D. Sinclair
2022 J jnl
A Case for Fine-grain Coherence Specialization in Heterogeneous Systems.
ACM Trans. Archit. Code Optim.
Johnathan Alsop, Weon Taek Na, Matthew D. Sinclair, Samuel Grayson, Sarita V. Adve
2022 — conf
Demystifying BERT: System Design Implications.
IISWC
Suchita Pati, Shaizeen Aga, Nuwan Jayasena, Matthew D. Sinclair
2022 A conf
Not All GPUs Are Created Equal: Characterizing Variability in Large-Scale, Accelerator-Rich Systems.
SC
Prasoon Sinha, Akhil Guliani, Rutwik Jain, Brandon Tran, Matthew D. Sinclair, Shivaram Venkataraman
2022 J jnl
Not All GPUs Are Created Equal: Characterizing Variability in Large-Scale, Accelerator-Rich Systems.
CoRR
Prasoon Sinha, Akhil Guliani, Rutwik Jain, Brandon Tran, Matthew D. Sinclair, Shivaram Venkataraman
2022 A* conf
Only Buffer When You Need To: Reducing On-chip GPU Traffic with Reconfigurable Local Atomic Buffers.
HPCA
Preyesh Dalmia, Rohan Mahapatra, Matthew D. Sinclair
2021 J jnl
A Case for Fine-grain Coherence Specialization in Heterogeneous Systems.
CoRR
Johnathan Alsop, Weon Taek Na, Matthew D. Sinclair, Samuel Grayson, Sarita V. Adve
2021 C conf
DENNI: Distributed Neural Network Inference on Severely Resource Constrained Edge Devices.
IPCCC
Rohit Sahu, Ryan Toepfer, Matthew D. Sinclair, Henry Duwe
2021 A* conf
Deadline-Aware Offloading for High-Throughput Accelerators.
HPCA
Tsung Tai Yeh, Matthew D. Sinclair, Bradford M. Beckmann, Timothy G. Rogers
2021 J jnl
Demystifying BERT: Implications for Accelerator Design.
CoRR
Suchita Pati, Shaizeen Aga, Nuwan Jayasena, Matthew D. Sinclair
2021 B conf
Enabling Reproducible and Agile Full-System Simulation.
ISPASS
Bobby R. Bruce, Ayaz Akram, Hoa Nguyen, Kyle Roarty, Mahyar Samani, Marjan Fariborz, Trivikram Reddy, Matthew D. Sinclair, Jason Lowe-Power
2020 A* conf
Deterministic Atomic Buffering.
MICRO
Yuan-Hsi Chou, Christopher Ng, Shaylin Cattell, Jeremy Intan, Matthew D. Sinclair, Joseph Devietti, Timothy G. Rogers, Tor M. Aamodt
2020 A* conf
Independent Forward Progress of Work-groups.
ISCA
Alexandru Dutu, Matthew D. Sinclair, Bradford M. Beckmann, David A. Wood, Marcus Chow
2020 J jnl
Inter-kernel Reuse-aware Thread Block Scheduling.
ACM Trans. Archit. Code Optim.
Muhammad Huzaifa, Johnathan Alsop, Abdulrahman Mahmoud, Giordano Salvador, Matthew D. Sinclair, Sarita V. Adve
2020 B conf
SeqPoint: Identifying Representative Iterations of Sequence-Based Neural Networks.
ISPASS
Suchita Pati, Shaizeen Aga, Matthew D. Sinclair, Nuwan Jayasena
2020 J jnl
SeqPoint: Identifying Representative Iterations of Sequence-based Neural Networks.
CoRR
Suchita Pati, Shaizeen Aga, Matthew D. Sinclair, Nuwan Jayasena
2020 B conf
Specializing Coherence, Consistency, and Push/Pull for GPU Graph Analytics.
ISPASS
Giordano Salvador, Wesley H. Darvin, Muhammad Huzaifa, Johnathan Alsop, Matthew D. Sinclair, Sarita V. Adve
2020 J jnl
Specializing Coherence, Consistency, and Push/Pull for GPU Graph Analytics.
CoRR
Giordano Salvador, Wesley H. Darvin, Muhammad Huzaifa, Johnathan Alsop, Matthew D. Sinclair, Sarita V. Adve
2020 J jnl
The gem5 Simulator: Version 20.0+.
CoRR
Jason Lowe-Power, Abdul Mutaal Ahmad, Ayaz Akram, Mohammad Alian, Rico Amslinger, Matteo Andreozzi, Adrià Armejach, Nils Asmussen, Srikant Bharadwaj, Gabe Black, Gedare Bloom, Bobby R. Bruce, Daniel Rodrigues Carvalho, Jerónimo Castrillón, Lizhong Chen, Nicolas Derumigny, Stephan Diestelhorst, Wendy Elsasser, Marjan Fariborz, Amin Farmahini Farahani, Pouya Fotouhi, Ryan Gambord, Jayneel Gandhi, Dibakar Gope, Thomas Grass, Bagus Hanindhito, Andreas Hansson, Swapnil Haria, Austin Harris, Timothy Hayes, Adrian Herrera, Matthew Horsnell, Syed Ali Raza Jafri, Radhika Jagtap, Hanhwi Jang, Reiley Jeyapaul, Timothy M. Jones, Matthias Jung, Subash Kannoth, Hamidreza Khaleghzadeh, Yuetsu Kodama, Tushar Krishna, Tommaso Marinelli, Christian Menard, Andrea Mondelli, Tiago Mück, Omar Naji, Krishnendra Nathella, Hoa Nguyen, Nikos Nikoleris, Lena E. Olson, Marc S. Orr, Binh Pham, Pablo Prieto, Trivikram Reddy, Alec Roelke, Mahyar Samani, Andreas Sandberg, Javier Setoain, Boris Shingarov, Matthew D. Sinclair, Tuan Ta, Rahul Thakur, Giacomo Travaglini, Michael Upton, Nilay Vaish, Ilias Vougioukas, Zhengrong Wang, Norbert Wehn, Christian Weis, David A. Wood, Hongil Yoon, Éder F. Zulian
2019 B conf
Analyzing Machine Learning Workloads Using a Detailed GPU Simulator.
ISPASS
Jonathan S. 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
2019 — conf
Optimizing GPU Cache Policies for MI Workloads.
IISWC
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
2019 J jnl
Optimizing GPU Cache Policies for MI Workloads.
CoRR
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
2018 J jnl
Analyzing Machine Learning Workloads Using a Detailed GPU Simulator.
CoRR
Jonathan S. Lew, Deval Shah, Suchita Pati, Shaylin Cattell, Mengchi Zhang, Amruth Sandhupatla, Christopher Ng, Negar Goli, Matthew D. Sinclair, Timothy G. Rogers, Tor M. Aamodt
2018 B conf
HPVM: heterogeneous parallel virtual machine.
PPoPP
Maria Kotsifakou, Prakalp Srivastava, Matthew D. Sinclair, Rakesh Komuravelli, Vikram S. Adve, Sarita V. Adve
2018 A* conf
Lost in Abstraction: Pitfalls of Analyzing GPUs at the Intermediate Language Level.
HPCA
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
2018 A* conf
Spandex: A Flexible Interface for Efficient Heterogeneous Coherence.
ISCA
Johnathan Alsop, Matthew D. Sinclair, Sarita V. Adve
2017 A* conf
Chasing Away RAts: Semantics and Evaluation for Relaxed Atomics on Heterogeneous Systems.
ISCA
Matthew D. Sinclair, Johnathan Alsop, Sarita V. Adve
2017 — —
Efficient coherence and consistency for specialized memory hierarchies
Matthew D. Sinclair
2017 — conf
HeteroSync: A benchmark suite for fine-grained synchronization on tightly coupled GPUs.
IISWC
Matthew D. Sinclair, Johnathan Alsop, Sarita V. Adve
2016 B conf
GSI: A GPU Stall Inspector to characterize the sources of memory stalls for tightly coupled GPUs.
ISPASS
Johnathan Alsop, Matthew D. Sinclair, Rakesh Komuravelli, Sarita V. Adve
2016 B conf
POSTER: hVISC: A Portable Abstraction for Heterogeneous Parallel Systems.
PACT
Prakalp Srivastava, Maria Kotsifakou, Matthew D. Sinclair, Rakesh Komuravelli, Vikram S. Adve, Sarita V. Adve
2015 A* conf
Efficient GPU synchronization without scopes: saying no to complex consistency models.
MICRO
Matthew D. Sinclair, Johnathan Alsop, Sarita V. Adve
2015 A* conf
Stash: have your scratchpad and cache it too.
ISCA
Rakesh Komuravelli, Matthew D. Sinclair, Johnathan Alsop, Muhammad Huzaifa, Maria Kotsifakou, Prakalp Srivastava, Sarita V. Adve, Vikram S. Adve
2011 A* conf
Sampling + DMR: practical and low-overhead permanent fault detection.
ISCA
Shuou Nomura, Matthew D. Sinclair, Chen-Han Ho, Venkatraman Govindaraju, Marc de Kruijf, Karthikeyan Sankaralingam