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Suchita Pati
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2020 – today
- 2024
- [c7]Suchita Pati
, Shaizeen Aga
T3: Transparent Tracking & Triggering for Fine-grained Overlap of Compute & Collectives. ASPLOS (2) 2024: 1146-1164 - [c6]Mohamed Assem Ibrahim, Shaizeen Aga, Ada Li, Suchita Pati, Mahzabeen Islam:
JIT-Q: Just-in-time Quantization with Processing-In-Memory for Efficient ML Training. MLSys 2024 - [i7]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) - [i6]Suchita Pati, Shaizeen Aga, Nuwan Jayasena, Matthew D. Sinclair:
Global Optimizations & Lightweight Dynamic Logic for Concurrency. CoRR abs/2409.02227 (2024) - 2023
- [c5]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 - [i5]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) - [i4]Mohamed Assem Ibrahim, Shaizeen Aga, Ada Li, Suchita Pati, Mahzabeen Islam:
Just-in-time Quantization with Processing-In-Memory for Efficient ML Training. CoRR abs/2311.05034 (2023) - 2022
- [c4]Suchita Pati, Shaizeen Aga, Nuwan Jayasena, Matthew D. Sinclair:
Demystifying BERT: System Design Implications. IISWC 2022: 296-309 - 2021
- [i3]Suchita Pati, Shaizeen Aga, Nuwan Jayasena, Matthew D. Sinclair:
Demystifying BERT: Implications for Accelerator Design. CoRR abs/2104.08335 (2021) - 2020
- [c3]Suchita Pati, Shaizeen Aga, Matthew D. Sinclair, Nuwan Jayasena:
SeqPoint: Identifying Representative Iterations of Sequence-Based Neural Networks. ISPASS 2020: 69-80 - [i2]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
- [c2]Jonathan S. Lew, Deval A. Shah, Suchita Pati, Shaylin Cattell, Mengchi Zhang
Analyzing Machine Learning Workloads Using a Detailed GPU Simulator. ISPASS 2019: 151-152 - 2018
- [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
- [c1]Rajesh Kumar, Suchita Pati, Kanishka Lahiri:
DARTS: Performance-counter driven sampling using binary translators. ISPASS 2017: 131-132
Coauthor Index
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