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ORCIDShaizeen Aga
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2020 – today
- 2024
[c15]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- [c14]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 - [i10]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) - [i9]Mohamed Assem Ibrahim, Mahzabeen Islam, Shaizeen Aga:
Balanced Data Placement for GEMV Acceleration with Processing-In-Memory. CoRR abs/2403.20297 (2024) - [i8]Suchita Pati, Shaizeen Aga, Nuwan Jayasena, Matthew D. Sinclair:
Global Optimizations & Lightweight Dynamic Logic for Concurrency. CoRR abs/2409.02227 (2024) - 2023
- [c13]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 - [c12]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 - [i7]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) - [i6]Yi Zheng, Aasheesh Kolli, Shaizeen Aga:
Egalitarian ORAM: Wear-Leveling for ORAM. CoRR abs/2304.09411 (2023) - [i5]Mohamed Assem Ibrahim, Shaizeen Aga:
Collaborative Acceleration for FFT on Commercial Processing-In-Memory Architectures. CoRR abs/2308.03973 (2023) - [i4]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) - [i3]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
- [c11]Suchita Pati, Shaizeen Aga, Nuwan Jayasena, Matthew D. Sinclair:
Demystifying BERT: System Design Implications. IISWC 2022: 296-309 - 2021
- [c10]Mohamed Assem Ibrahim, Onur Kayiran, Shaizeen Aga:
Efficient Cache Utilization via Model-aware Data Placement for Recommendation Models. MEMSYS 2021: 2:1-2:11 - [i2]Suchita Pati, Shaizeen Aga, Nuwan Jayasena, Matthew D. Sinclair:
Demystifying BERT: Implications for Accelerator Design. CoRR abs/2104.08335 (2021) - 2020
- [c9]Suchita Pati, Shaizeen Aga, Matthew D. Sinclair, Nuwan Jayasena:
SeqPoint: Identifying Representative Iterations of Sequence-Based Neural Networks. ISPASS 2020: 69-80 - [i1]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
- [c8]Shaizeen Aga, Satish Narayanasamy:
InvisiPage: oblivious demand paging for secure enclaves. ISCA 2019: 372-384 - [c7]Shaizeen Aga, Nuwan Jayasena, Mike Ignatowski:
Co-ML: a case for <u>co</u>llaborative <u>ML</u> acceleration using near-data processing. MEMSYS 2019: 506-517 - 2018
- [c6]Aditya Narayan, Tiansheng Zhang, Shaizeen Aga, Satish Narayanasamy, Ayse K. Coskun:
MOCA: Memory Object Classification and Allocation in Heterogeneous Memory Systems. IPDPS 2018: 326-335 - 2017
- [b1]Shaizeen Aga:
Near Data Processing for Efficient and Trusted Systems. University of Michigan, USA, 2017 - [c5]Shaizeen Aga, Supreet Jeloka, Arun Subramaniyan, Satish Narayanasamy, David T. Blaauw, Reetuparna Das:
Compute Caches. HPCA 2017: 481-492 - [c4]Shaizeen Aga, Satish Narayanasamy:
InvisiMem: Smart Memory Defenses for Memory Bus Side Channel. ISCA 2017: 94-106 - 2015
- [c3]Shaizeen Aga, Abhayendra Singh, Satish Narayanasamy:
zFENCE: Data-less Coherence for Efficient Fences. ICS 2015: 295-305 - [c2]Abhayendra Singh, Shaizeen Aga, Satish Narayanasamy:
Efficiently enforcing strong memory ordering in GPUs. MICRO 2015: 699-712 - [c1]Shaizeen Aga, Sriram Krishnamoorthy, Satish Narayanasamy:
CilkSpec: optimistic concurrency for Cilk. SC 2015: 83:1-83:12
Coauthor Index
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last updated on 2024-10-07 21:11 CEST by the dblp team
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