Suchita Pati

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 13

Top Topics

Sampling Strategies

Supervised Machine Learning

Top Venues

Publications

Suchita Pati, Shaizeen Aga, Mahzabeen Islam, Nuwan Jayasena, Matthew D. Sinclair
T3: Transparent Tracking & Triggering for Fine-grained Overlap of Compute & Collectives. CoRR (2024)
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)
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)
Suchita Pati, Shaizeen Aga, Mahzabeen Islam, Nuwan Jayasena, Matthew D. Sinclair
Computation vs. Communication Scaling for Future Transformers on Future Hardware. CoRR (2023)
Mohamed Assem Ibrahim, Shaizeen Aga, Ada Li, Suchita Pati, Mahzabeen Islam
Just-in-time Quantization with Processing-In-Memory for Efficient ML Training. CoRR (2023)
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)
Suchita Pati, Shaizeen Aga, Nuwan Jayasena, Matthew D. Sinclair
Demystifying BERT: System Design Implications. IISWC (2022)
Suchita Pati, Shaizeen Aga, Nuwan Jayasena, Matthew D. Sinclair
Demystifying BERT: Implications for Accelerator Design. CoRR (2021)
Suchita Pati, Shaizeen Aga, Matthew D. Sinclair, Nuwan Jayasena
SeqPoint: Identifying Representative Iterations of Sequence-Based Neural Networks. ISPASS (2020)
Suchita Pati, Shaizeen Aga, Matthew D. Sinclair, Nuwan Jayasena
SeqPoint: Identifying Representative Iterations of Sequence-based Neural Networks. CoRR (2020)
Jonathan 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)
Jonathan 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 (2018)
Rajesh Kumar, Suchita Pati, Kanishka Lahiri
DARTS: Performance-counter driven sampling using binary translators. ISPASS (2017)