Suchita Pati

According to our database, Suchita Pati authored at least 14 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

GOLDYLOC: Global Optimizations & Lightweight Dynamic Logic for Concurrency.

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

ACM Trans. Archit. Code Optim., June, 2025

ConCCL: Optimizing ML Concurrent Computation and Communication with GPU DMA Engines.

Anirudha Agrawal, Shaizeen Aga, Suchita Pati, Mahzabeen Islam

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2025

2024

Optimizing ML Concurrent Computation and Communication with GPU DMA Engines.

Anirudha Agrawal, Shaizeen Aga, Suchita Pati, Mahzabeen Islam

CoRR, 2024

Global Optimizations & Lightweight Dynamic Logic for Concurrency.

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

CoRR, 2024

JIT-Q: Just-in-time Quantization with Processing-In-Memory for Efficient ML Training.

Mohamed Assem Ibrahim, Shaizeen Aga, Ada Li, Suchita Pati, Mahzabeen Islam

Proceedings of the Seventh Annual Conference on Machine Learning and Systems, 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

Just-in-time Quantization with Processing-In-Memory for Efficient ML Training.

Mohamed Assem Ibrahim, Shaizeen Aga, Ada Li, Suchita Pati, Mahzabeen Islam

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

Demystifying BERT: System Design Implications.

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

Proceedings of the IEEE International Symposium on Workload Characterization, 2022

2021

Demystifying BERT: Implications for Accelerator Design.

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

CoRR, 2021

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

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

2017

DARTS: Performance-counter driven sampling using binary translators.

Rajesh Kumar, Suchita Pati, Kanishka Lahiri

Proceedings of the 2017 IEEE International Symposium on Performance Analysis of Systems and Software, 2017