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ORCIDMatthew D. Sinclair
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- affiliation: University of Wisconsin-Madison, WI, USA
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2020 – today
- 2024
[c24]Suchita Pati
, Shaizeen Aga, Mahzabeen Islam, Nuwan Jayasena, Matthew D. Sinclair:
T3: Transparent Tracking & Triggering for Fine-grained Overlap of Compute & Collectives. ASPLOS (2) 2024: 1146-1164- [i14]Suchita Pati, Shaizeen Aga, Mahzabeen Islam, Nuwan Jayasena, Matthew D. Sinclair:
T3: Transparent Tracking & Triggering for Fine-grained Overlap of Compute & Collectives. CoRR abs/2401.16677 (2024) - [i13]Rutwik Jain, Brandon Tran, Keting Chen, Matthew D. Sinclair, Shivaram Venkataraman:
PAL: A Variability-Aware Policy for Scheduling ML Workloads in GPU Clusters. CoRR abs/2408.11919 (2024) - [i12]Suchita Pati, Shaizeen Aga, Nuwan Jayasena, Matthew D. Sinclair:
Global Optimizations & Lightweight Dynamic Logic for Concurrency. CoRR abs/2409.02227 (2024) - 2023
- [j4]Matthew D. Sinclair, Parthasarathy Ranganathan, Gaurang Upasani, Adrian Sampson, David A. Patterson, Rutwik Jain, Nidhi Parthasarathy, Shaan Shah:
Fifty Years of the International Symposium on Computer Architecture: A Data-Driven Retrospective. IEEE Micro 43(6): 109-124 (2023) - [j3]Preyesh Dalmia, Rohan Mahapatra, Jeremy Intan, Dan Negrut, Matthew D. Sinclair:
Improving the Scalability of GPU Synchronization Primitives. IEEE Trans. Parallel Distributed Syst. 34(1): 275-290 (2023) - [c23]Suchita Pati, Shaizeen Aga, Mahzabeen Islam, Nuwan Jayasena, Matthew D. Sinclair:
Tale of Two Cs: Computation vs. Communication Scaling for Future Transformers on Future Hardware. IISWC 2023: 140-153 - [i11]Suchita Pati, Shaizeen Aga, Mahzabeen Islam, Nuwan Jayasena, Matthew D. Sinclair:
Computation vs. Communication Scaling for Future Transformers on Future Hardware. CoRR abs/2302.02825 (2023) - [i10]Shichen Qiao, Xin Su, Matthew D. Sinclair:
Integrating Per-Stream Stat Tracking into Accel-Sim. CoRR abs/2304.11136 (2023) - [i9]Gaurang Upasani, Matthew D. Sinclair, Adrian Sampson, Parthasarathy Ranganathan, David A. Patterson, Shaan Shah, Nidhi Parthasarathy, Rutwik Jain:
Fifty Years of ISCA: A data-driven retrospective on key trends. CoRR abs/2306.03964 (2023) - 2022
- [j2]Johnathan Alsop, Weon Taek Na, Matthew D. Sinclair, Samuel Grayson, Sarita V. Adve:
A Case for Fine-grain Coherence Specialization in Heterogeneous Systems. ACM Trans. Archit. Code Optim. 19(3): 41:1-41:26 (2022) - [c22]Preyesh Dalmia, Rohan Mahapatra, Matthew D. Sinclair:
Only Buffer When You Need To: Reducing On-chip GPU Traffic with Reconfigurable Local Atomic Buffers. HPCA 2022: 676-691 - [c21]Suchita Pati, Shaizeen Aga, Nuwan Jayasena, Matthew D. Sinclair:
Demystifying BERT: System Design Implications. IISWC 2022: 296-309 - [c20]Prasoon Sinha, Akhil Guliani, Rutwik Jain, Brandon Tran, Matthew D. Sinclair, Shivaram Venkataraman:
Not All GPUs Are Created Equal: Characterizing Variability in Large-Scale, Accelerator-Rich Systems. SC 2022: 65:1-65:15 - [i8]Prasoon Sinha, Akhil Guliani, Rutwik Jain, Brandon Tran, Matthew D. Sinclair, Shivaram Venkataraman:
Not All GPUs Are Created Equal: Characterizing Variability in Large-Scale, Accelerator-Rich Systems. CoRR abs/2208.11035 (2022) - 2021
- [c19]Tsung Tai Yeh, Matthew D. Sinclair, Bradford M. Beckmann, Timothy G. Rogers:
Deadline-Aware Offloading for High-Throughput Accelerators. HPCA 2021: 479-492 - [c18]Rohit Sahu, Ryan Toepfer, Matthew D. Sinclair, Henry Duwe:
DENNI: Distributed Neural Network Inference on Severely Resource Constrained Edge Devices. IPCCC 2021: 1-10 - [c17]Bobby R. Bruce, Ayaz Akram, Hoa Nguyen, Kyle Roarty, Mahyar Samani, Marjan Fariborz, Trivikram Reddy, Matthew D. Sinclair, Jason Lowe-Power:
Enabling Reproducible and Agile Full-System Simulation. ISPASS 2021: 183-193 - [i7]Suchita Pati, Shaizeen Aga, Nuwan Jayasena, Matthew D. Sinclair:
Demystifying BERT: Implications for Accelerator Design. CoRR abs/2104.08335 (2021) - [i6]Johnathan Alsop, Weon Taek Na, Matthew D. Sinclair, Samuel Grayson, Sarita V. Adve:
A Case for Fine-grain Coherence Specialization in Heterogeneous Systems. CoRR abs/2104.11678 (2021) - 2020
- [j1]Muhammad Huzaifa, Johnathan Alsop, Abdulrahman Mahmoud, Giordano Salvador, Matthew D. Sinclair, Sarita V. Adve:
Inter-kernel Reuse-aware Thread Block Scheduling. ACM Trans. Archit. Code Optim. 17(3): 24:1-24:27 (2020) - [c16]Alexandru Dutu, Matthew D. Sinclair, Bradford M. Beckmann, David A. Wood, Marcus Chow:
Independent Forward Progress of Work-groups. ISCA 2020: 1022-1035 - [c15]Suchita Pati, Shaizeen Aga, Matthew D. Sinclair, Nuwan Jayasena:
SeqPoint: Identifying Representative Iterations of Sequence-Based Neural Networks. ISPASS 2020: 69-80 - [c14]Giordano Salvador, Wesley H. Darvin, Muhammad Huzaifa, Johnathan Alsop, Matthew D. Sinclair, Sarita V. Adve:
Specializing Coherence, Consistency, and Push/Pull for GPU Graph Analytics. ISPASS 2020: 123-125 - [c13]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: 981-995 - [i5]Giordano Salvador, Wesley H. Darvin, Muhammad Huzaifa, Johnathan Alsop, Matthew D. Sinclair, Sarita V. Adve:
Specializing Coherence, Consistency, and Push/Pull for GPU Graph Analytics. CoRR abs/2002.10245 (2020) - [i4]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:
The gem5 Simulator: Version 20.0+. CoRR abs/2007.03152 (2020) - [i3]Suchita Pati, Shaizeen Aga, Matthew D. Sinclair, Nuwan Jayasena:
SeqPoint: Identifying Representative Iterations of Sequence-based Neural Networks. CoRR abs/2007.10459 (2020)
2010 – 2019
- 2019
- [c12]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:
Optimizing GPU Cache Policies for MI Workloads. IISWC 2019: 243-248 - [c11]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:
Analyzing Machine Learning Workloads Using a Detailed GPU Simulator. ISPASS 2019: 151-152 - [i2]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:
Optimizing GPU Cache Policies for MI Workloads. CoRR abs/1910.00134 (2019) - 2018
- [c10]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: 608-619 - [c9]Johnathan Alsop, Matthew D. Sinclair, Sarita V. Adve:
Spandex: A Flexible Interface for Efficient Heterogeneous Coherence. ISCA 2018: 261-274 - [c8]Maria Kotsifakou, Prakalp Srivastava, Matthew D. Sinclair, Rakesh Komuravelli, Vikram S. Adve, Sarita V. Adve:
HPVM: heterogeneous parallel virtual machine. PPoPP 2018: 68-80 - [i1]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:
Analyzing Machine Learning Workloads Using a Detailed GPU Simulator. CoRR abs/1811.08933 (2018) - 2017
- [b1]Matthew D. Sinclair:
Efficient coherence and consistency for specialized memory hierarchies. University of Illinois Urbana-Champaign, USA, 2017 - [c7]Matthew D. Sinclair, Johnathan Alsop, Sarita V. Adve:
HeteroSync: A benchmark suite for fine-grained synchronization on tightly coupled GPUs. IISWC 2017: 239-249 - [c6]Matthew D. Sinclair, Johnathan Alsop, Sarita V. Adve:
Chasing Away RAts: Semantics and Evaluation for Relaxed Atomics on Heterogeneous Systems. ISCA 2017: 161-174 - 2016
- [c5]Prakalp Srivastava, Maria Kotsifakou, Matthew D. Sinclair, Rakesh Komuravelli, Vikram S. Adve, Sarita V. Adve:
POSTER: hVISC: A Portable Abstraction for Heterogeneous Parallel Systems. PACT 2016: 443-445 - [c4]Johnathan Alsop, Matthew D. Sinclair, Rakesh Komuravelli, Sarita V. Adve:
GSI: A GPU Stall Inspector to characterize the sources of memory stalls for tightly coupled GPUs. ISPASS 2016: 172-182 - 2015
- [c3]Rakesh Komuravelli, Matthew D. Sinclair, Johnathan Alsop, Muhammad Huzaifa, Maria Kotsifakou, Prakalp Srivastava, Sarita V. Adve, Vikram S. Adve:
Stash: have your scratchpad and cache it too. ISCA 2015: 707-719 - [c2]Matthew D. Sinclair, Johnathan Alsop, Sarita V. Adve:
Efficient GPU synchronization without scopes: saying no to complex consistency models. MICRO 2015: 647-659 - 2011
- [c1]Shuou Nomura, Matthew D. Sinclair, Chen-Han Ho, Venkatraman Govindaraju, Marc de Kruijf, Karthikeyan Sankaralingam:
Sampling + DMR: practical and low-overhead permanent fault detection. ISCA 2011: 201-212
Coauthor Index
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last updated on 2024-10-07 01:21 CEST by the dblp team
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