Matthew D. Sinclair

According to our database, Matthew D. Sinclair authored at least 37 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Global Optimizations & Lightweight Dynamic Logic for Concurrency.

Suchita Pati, Shaizeen Aga, Nuwan Jayasena, Matthew D. Sinclair

CoRR, 2024

PAL: A Variability-Aware Policy for Scheduling ML Workloads in GPU Clusters.

Rutwik Jain, Brandon Tran, Keting Chen, Matthew D. Sinclair, Shivaram Venkataraman

CoRR, 2024

T3: Transparent Tracking & Triggering for Fine-grained Overlap of Compute & Collectives.

Suchita Pati, Shaizeen Aga, Mahzabeen Islam, Nuwan Jayasena, Matthew D. Sinclair

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

Improving the Scalability of GPU Synchronization Primitives.

Preyesh Dalmia, Rohan Mahapatra, Jeremy Intan, Dan Negrut, Matthew D. Sinclair

IEEE Trans. Parallel Distributed Syst., 2023

Fifty Years of the International Symposium on Computer Architecture: A Data-Driven Retrospective.

Matthew D. Sinclair, Parthasarathy Ranganathan, Gaurang Upasani, Adrian Sampson, David A. Patterson, Rutwik Jain, Nidhi Parthasarathy, Shaan Shah

IEEE Micro, 2023

Fifty Years of ISCA: A data-driven retrospective on key trends.

Gaurang Upasani, Matthew D. Sinclair, Adrian Sampson, Parthasarathy Ranganathan, David A. Patterson, Shaan Shah, Nidhi Parthasarathy, Rutwik Jain

CoRR, 2023

Integrating Per-Stream Stat Tracking into Accel-Sim.

Shichen Qiao, Xin Su, Matthew D. Sinclair

CoRR, 2023

Computation vs. Communication Scaling for Future Transformers on Future Hardware.

Suchita Pati, Shaizeen Aga, Mahzabeen Islam, Nuwan Jayasena, Matthew D. Sinclair

CoRR, 2023

Tale of Two Cs: Computation vs. Communication Scaling for Future Transformers on Future Hardware.

Suchita Pati, Shaizeen Aga, Mahzabeen Islam, Nuwan Jayasena, Matthew D. Sinclair

Proceedings of the IEEE International Symposium on Workload Characterization, 2023

2022

A Case for Fine-grain Coherence Specialization in Heterogeneous Systems.

Johnathan Alsop, Weon Taek Na, Matthew D. Sinclair, Samuel Grayson, Sarita V. Adve

ACM Trans. Archit. Code Optim., 2022

Not All GPUs Are Created Equal: Characterizing Variability in Large-Scale, Accelerator-Rich Systems.

Prasoon Sinha, Akhil Guliani, Rutwik Jain, Brandon Tran, Matthew D. Sinclair, Shivaram Venkataraman

Proceedings of the SC22: International Conference for High Performance Computing, 2022

Demystifying BERT: System Design Implications.

Suchita Pati, Shaizeen Aga, Nuwan Jayasena, Matthew D. Sinclair

Proceedings of the IEEE International Symposium on Workload Characterization, 2022

Only Buffer When You Need To: Reducing On-chip GPU Traffic with Reconfigurable Local Atomic Buffers.

Preyesh Dalmia, Rohan Mahapatra, Matthew D. Sinclair

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022

2021

Demystifying BERT: Implications for Accelerator Design.

Suchita Pati, Shaizeen Aga, Nuwan Jayasena, Matthew D. Sinclair

CoRR, 2021

Enabling Reproducible and Agile Full-System Simulation.

Bobby R. Bruce, Ayaz Akram, Hoa Nguyen, Kyle Roarty, Mahyar Samani, Marjan Fariborz, Trivikram Reddy, Matthew D. Sinclair, Jason Lowe-Power

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2021

DENNI: Distributed Neural Network Inference on Severely Resource Constrained Edge Devices.

Rohit Sahu, Ryan Toepfer, Matthew D. Sinclair, Henry Duwe

Proceedings of the IEEE International Performance, 2021

Deadline-Aware Offloading for High-Throughput Accelerators.

Tsung Tai Yeh, Matthew D. Sinclair, Bradford M. Beckmann, Timothy G. Rogers

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2021

2020

Inter-kernel Reuse-aware Thread Block Scheduling.

Muhammad Huzaifa, Johnathan Alsop, Abdulrahman Mahmoud, Giordano Salvador, Matthew D. Sinclair, Sarita V. Adve

ACM Trans. Archit. Code Optim., 2020

The gem5 Simulator: Version 20.0+.

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

CoRR, 2020

Deterministic Atomic Buffering.

Yuan-Hsi Chou, Christopher Ng, Shaylin Cattell, Jeremy Intan, Matthew D. Sinclair, Joseph Devietti, Timothy G. Rogers, Tor M. Aamodt

Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

Specializing Coherence, Consistency, and Push/Pull for GPU Graph Analytics.

Giordano Salvador, Wesley H. Darvin, Muhammad Huzaifa, Johnathan Alsop, Matthew D. Sinclair, Sarita V. Adve

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2020

SeqPoint: Identifying Representative Iterations of Sequence-Based Neural Networks.

Suchita Pati, Shaizeen Aga, Matthew D. Sinclair, Nuwan Jayasena

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2020

Independent Forward Progress of Work-groups.

Alexandru Dutu, Matthew D. Sinclair, Bradford M. Beckmann, David A. Wood, Marcus Chow

Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

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, Tsung Tai Yeh, Bradford M. Beckmann

CoRR, 2019

Analyzing Machine Learning Workloads Using a Detailed GPU Simulator.

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

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2019

Optimizing GPU Cache Policies for MI Workloads.

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

Proceedings of the IEEE International Symposium on Workload Characterization, 2019

2018

HPVM: heterogeneous parallel virtual machine.

Maria Kotsifakou, Prakalp Srivastava, Matthew D. Sinclair, Rakesh Komuravelli, Vikram S. Adve, Sarita V. Adve

Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2018

Spandex: A Flexible Interface for Efficient Heterogeneous Coherence.

Johnathan Alsop, Matthew D. Sinclair, Sarita V. Adve

Proceedings of the 45th ACM/IEEE Annual International Symposium on Computer Architecture, 2018

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, Jieming Yin, Xianwei Zhang, Akshay Jain, Timothy G. Rogers

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2018

2017

Efficient coherence and consistency for specialized memory hierarchies

Matthew D. Sinclair

PhD thesis, 2017

Chasing Away RAts: Semantics and Evaluation for Relaxed Atomics on Heterogeneous Systems.

Matthew D. Sinclair, Johnathan Alsop, Sarita V. Adve

Proceedings of the 44th Annual International Symposium on Computer Architecture, 2017

HeteroSync: A benchmark suite for fine-grained synchronization on tightly coupled GPUs.

Matthew D. Sinclair, Johnathan Alsop, Sarita V. Adve

Proceedings of the 2017 IEEE International Symposium on Workload Characterization, 2017

2016

GSI: A GPU Stall Inspector to characterize the sources of memory stalls for tightly coupled GPUs.

Johnathan Alsop, Matthew D. Sinclair, Rakesh Komuravelli, Sarita V. Adve

Proceedings of the 2016 IEEE International Symposium on Performance Analysis of Systems and Software, 2016

POSTER: hVISC: A Portable Abstraction for Heterogeneous Parallel Systems.

Prakalp Srivastava, Maria Kotsifakou, Matthew D. Sinclair, Rakesh Komuravelli, Vikram S. Adve, Sarita V. Adve

Proceedings of the 2016 International Conference on Parallel Architectures and Compilation, 2016

2015

Efficient GPU synchronization without scopes: saying no to complex consistency models.

Matthew D. Sinclair, Johnathan Alsop, Sarita V. Adve

Proceedings of the 48th International Symposium on Microarchitecture, 2015

Stash: have your scratchpad and cache it too.

Rakesh Komuravelli, Matthew D. Sinclair, Johnathan Alsop, Muhammad Huzaifa, Maria Kotsifakou, Prakalp Srivastava, Sarita V. Adve, Vikram S. Adve

Proceedings of the 42nd Annual International Symposium on Computer Architecture, 2015

2011

Sampling + DMR: practical and low-overhead permanent fault detection.

Shuou Nomura, Matthew D. Sinclair, Chen-Han Ho, Venkatraman Govindaraju, Marc de Kruijf, Karthikeyan Sankaralingam

Proceedings of the 38th International Symposium on Computer Architecture (ISCA 2011), 2011