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2020 – today
- 2024
[c8]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- [c7]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 - [i5]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) - [i4]Mohamed Assem Ibrahim, Mahzabeen Islam, Shaizeen Aga:
Balanced Data Placement for GEMV Acceleration with Processing-In-Memory. CoRR abs/2403.20297 (2024) - 2023
- [c6]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 - [c5]Gabriel H. Loh, Michael J. Schulte, Mike Ignatowski, Vignesh Adhinarayanan, Shaizeen Aga, Derrick Aguren, Varun Agrawal, Ashwin M. Aji, Johnathan Alsop, Paul T. Bauman, Bradford M. Beckmann, Majed Valad Beigi, Sergey Blagodurov, Travis Boraten, Michael Boyer, William C. Brantley, Noel Chalmers, Shaoming Chen, Kevin Cheng, Michael L. Chu, David Cownie, Nicholas Curtis, Joris Del Pino, Nam Duong, Alexandru Dutu, Yasuko Eckert, Christopher Erb, Chip Freitag, Joseph L. Greathouse, Sudhanva Gurumurthi, Anthony Gutierrez, Khaled Hamidouche, Sachin Hossamani, Wei Huang, Mahzabeen Islam, Nuwan Jayasena, John Kalamatianos, Onur Kayiran, Jagadish Kotra, Alan Lee, Daniel Lowell, Niti Madan, Abhinandan Majumdar, Nicholas Malaya, Srilatha Manne, Susumu Mashimo, Damon McDougall, Elliot Mednick, Michael Mishkin, Mark Nutter, Indrani Paul, Matthew Poremba, Brandon Potter, Kishore Punniyamurthy, Sooraj Puthoor, Steven E. Raasch, Karthik Rao, Gregory Rodgers, Marko Scrbak, Mohammad Seyedzadeh, John Slice, Vilas Sridharan, René van Oostrum, Eric Van Tassell, Abhinav Vishnu, Samuel Wasmundt, Mark Wilkening, Noah Wolfe, Mark Wyse, Adithya Yalavarti, Dmitri Yudanov:
A Research Retrospective on AMD's Exascale Computing Journey. ISCA 2023: 81:1-81:14 - [i3]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) - [i2]Johnathan Alsop, Shaizeen Aga, Mohamed Assem Ibrahim, Mahzabeen Islam, Andrew McCrabb, Nuwan Jayasena:
Inclusive-PIM: Hardware-Software Co-design for Broad Acceleration on Commercial PIM Architectures. CoRR abs/2309.07984 (2023) - [i1]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) - 2021
- [j3]Shashank Adavally, Mahzabeen Islam, Krishna Kavi:
Dynamically Adapting Page Migration Policies Based on Applications' Memory Access Behaviors. ACM J. Emerg. Technol. Comput. Syst. 17(2): 16:1-16:24 (2021) - 2020
- [j2]Mahzabeen Islam, Shashank Adavally, Marko Scrbak, Krishna Kavi:
On-the-fly Page Migration and Address Reconciliation for Heterogeneous Memory Systems. ACM J. Emerg. Technol. Comput. Syst. 16(1): 10:1-10:27 (2020)
2010 – 2019
- 2017
- [j1]Marko Scrbak, Mahzabeen Islam, Krishna M. Kavi, Mike Ignatowski, Nuwan Jayasena:
Exploring the Processing-in-Memory design space. J. Syst. Archit. 75: 59-67 (2017) - [c4]Mahzabeen Islam, Krishna M. Kavi, Mitesh R. Meswani, Soumik Banerjee, Nuwan Jayasena:
HBM-Resident Prefetching for Heterogeneous Memory System. ARCS 2017: 124-136 - 2016
- [c3]Mahzabeen Islam, Soumik Banerjee, Mitesh R. Meswani, Krishna M. Kavi:
Prefetching as a Potentially Effective Technique for Hybrid Memory Optimization. MEMSYS 2016: 220-231 - 2015
- [c2]Marko Scrbak, Mahzabeen Islam, Krishna M. Kavi, Mike Ignatowski, Nuwan Jayasena:
Processing-in-Memory: Exploring the Design Space. ARCS 2015: 43-54 - 2014
- [c1]Mahzabeen Islam, Marko Scrbak, Krishna M. Kavi, Mike Ignatowski, Nuwan Jayasena:
Improving Node-Level MapReduce Performance Using Processing-in-Memory Technologies. Euro-Par Workshops (2) 2014: 425-437
Coauthor Index
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