Sampling + DMR: practical and low-overhead permanent fault detection. - Shuou Nomura; Matthew D. Sinclair; Chen-Han Ho; Venkatraman Govindaraju; Marc de Kruijf; Karthikeyan Sankaralingam (ISCA, 2011)

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 (ISCA, 2015)

Efficient GPU synchronization without scopes: saying no to complex consistency models. - Matthew D. Sinclair; Johnathan Alsop; Sarita V. Adve (MICRO, 2015)

POSTER: hVISC: A Portable Abstraction for Heterogeneous Parallel Systems. - Prakalp Srivastava; Maria Kotsifakou; Matthew D. Sinclair; Rakesh Komuravelli; Vikram S. Adve; Sarita V. Adve (PACT, 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 (ISPASS, 2016)

HeteroSync: A benchmark suite for fine-grained synchronization on tightly coupled GPUs. - Matthew D. Sinclair; Johnathan Alsop; Sarita V. Adve (IISWC, 2017)

Chasing Away RAts: Semantics and Evaluation for Relaxed Atomics on Heterogeneous Systems. - Matthew D. Sinclair; Johnathan Alsop; Sarita V. Adve (ISCA, 2017)

Efficient coherence and consistency for specialized memory hierarchies - Matthew D. Sinclair (2017)

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; et al. (HPCA, 2018)

Spandex: A Flexible Interface for Efficient Heterogeneous Coherence. - Johnathan Alsop; Matthew D. Sinclair; Sarita V. Adve (ISCA, 2018)

HPVM: heterogeneous parallel virtual machine. - Maria Kotsifakou; Prakalp Srivastava; Matthew D. Sinclair; Rakesh Komuravelli; Vikram S. Adve; Sarita V. Adve (PPoPP, 2018)

Optimizing GPU Cache Policies for MI Workloads. - Johnathan Alsop; Xianwei Zhang 001; Tsung Tai Yeh; Bradford M. Beckmann; Matthew D. Sinclair; Srikant Bharadwaj; Alexandru Dutu; Anthony Gutierrez; Onur Kayiran; Michael LeBeane; Brandon Potter; Sooraj Puthoor (IISWC, 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 (ISPASS, 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 001; Tsung Tai Yeh; Bradford M. Beckmann (CoRR, 2019)

Independent Forward Progress of Work-groups. - Alexandru Dutu; Matthew D. Sinclair; Bradford M. Beckmann; David A. Wood 001; Marcus Chow (ISCA, 2020)

SeqPoint: Identifying Representative Iterations of Sequence-Based Neural Networks. - Suchita Pati; Shaizeen Aga; Matthew D. Sinclair; Nuwan Jayasena (ISPASS, 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 (ISPASS, 2020)

Deterministic Atomic Buffering. - Yuan-Hsi Chou; Christopher Ng; Shaylin Cattell; Jeremy Intan; Matthew D. Sinclair; Joseph Devietti; Timothy G. Rogers; Tor M. Aamodt (MICRO, 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; et al. (CoRR, 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)

Deadline-Aware Offloading for High-Throughput Accelerators. - Tsung Tai Yeh; Matthew D. Sinclair; Bradford M. Beckmann; Timothy G. Rogers (HPCA, 2021)

DENNI: Distributed Neural Network Inference on Severely Resource Constrained Edge Devices. - Rohit Sahu; Ryan Toepfer; Matthew D. Sinclair; Henry Duwe (IPCCC, 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 (ISPASS, 2021)

Demystifying BERT: Implications for Accelerator Design. - Suchita Pati; Shaizeen Aga; Nuwan Jayasena; Matthew D. Sinclair (CoRR, 2021)

Only Buffer When You Need To: Reducing On-chip GPU Traffic with Reconfigurable Local Atomic Buffers. - Preyesh Dalmia; Rohan Mahapatra; Matthew D. Sinclair (HPCA, 2022)

Demystifying BERT: System Design Implications. - Suchita Pati; Shaizeen Aga; Nuwan Jayasena; Matthew D. Sinclair (IISWC, 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 (SC, 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)

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 (IISWC, 2023)

Computation vs. Communication Scaling for Future Transformers on Future Hardware. - Suchita Pati; Shaizeen Aga; Mahzabeen Islam; Nuwan Jayasena; Matthew D. Sinclair (CoRR, 2023)

Integrating Per-Stream Stat Tracking into Accel-Sim. - Shichen Qiao; Xin Su; Matthew D. Sinclair (CoRR, 2023)

Fifty Years of ISCA: A data-driven retrospective on key trends. - Gaurang Upasani; Matthew D. Sinclair; Adrian Sampson; Parthasarathy Ranganathan; David A. Patterson 001; Shaan Shah; Nidhi Parthasarathy; Rutwik Jain (CoRR, 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 001; Rutwik Jain; Nidhi Parthasarathy; Shaan Shah (IEEE Micro, 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)

T3: Transparent Tracking & Triggering for Fine-grained Overlap of Compute & Collectives. - Suchita Pati; Shaizeen Aga; Mahzabeen Islam; Nuwan Jayasena; Matthew D. Sinclair (ASPLOS (2), 2024)

CPElide: Efficient Multi-Chiplet GPU Implicit Synchronization. - Preyesh Dalmia; Rajesh Shashi Kumar; Matthew D. Sinclair (MICRO, 2024)

PAL: A Variability-Aware Policy for Scheduling ML Workloads in GPU Clusters. - Rutwik Jain; Brandon Tran; Keting Chen; Matthew D. Sinclair; Shivaram Venkataraman (SC, 2024)

Global Optimizations & Lightweight Dynamic Logic for Concurrency. - Suchita Pati; Shaizeen Aga; Nuwan Jayasena; Matthew D. Sinclair (CoRR, 2024)

Adding MFMA Support to gem5. - Marco Kurzynski; Matthew D. Sinclair (CoRR, 2025)

Characterizing GPU Energy Usage in Exascale-Ready Portable Science Applications. - 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 (CoRR, 2025)

GOLDYLOC: Global Optimizations & Lightweight Dynamic Logic for Concurrency. - Suchita Pati; Shaizeen Aga; Nuwan Jayasena; Matthew D. Sinclair (ACM Trans. Archit. Code Optim., 2025)