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ORCIDPrakash Ramrakhyani
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Conference and Workshop Papers
- 2024
[c9]Shijia Wei, Austin Harris, Yongye Zhu, Prakash Ramrakhyani, Calvin Lin, Mohit Tiwari:
Tail Victims in Termination Timing Channel Defenses Beyond Cryptographic Kernels. SEED 2024: 11-22- 2023
- [c8]Ali Fakhrzadehgan, Prakash Ramrakhyani, Moinuddin K. Qureshi, Mattan Erez:
SecDDR: Enabling Low-Cost Secure Memories by Protecting the DDR Interface. DSN 2023: 14-27 - 2021
- [c7]Mohammad A. Alshboul
, Prakash Ramrakhyani, William Wang, James Tuck, Yan Solihin:
BBB: Simplifying Persistent Programming using Battery-Backed Buffers. HPCA 2021: 111-124 - 2020
- [c6]Fatemehsadat Mireshghallah, Mohammadkazem Taram, Prakash Ramrakhyani, Ali Jalali, Dean M. Tullsen, Hadi Esmaeilzadeh:
Shredder: Learning Noise Distributions to Protect Inference Privacy. ASPLOS 2020: 3-18 - 2019
- [c5]Jiajun Wang, Prakash Ramrakhyani, Wendy Elsasser, Lizy Kurian John:
Reducing Data Movement and Energy in Multilevel Cache Hierarchies without Losing Performance: Can you have it all? PACT 2019: 383-394 - 2018
- [c4]Gururaj Saileshwar, Prashant J. Nair, Prakash Ramrakhyani, Wendy Elsasser, Moinuddin K. Qureshi:
SYNERGY: Rethinking Secure-Memory Design for Error-Correcting Memories. HPCA 2018: 454-465 - [c3]Gururaj Saileshwar, Prashant J. Nair, Prakash Ramrakhyani, Wendy Elsasser, José A. Joao, Moinuddin K. Qureshi:
Morphable Counters: Enabling Compact Integrity Trees For Low-Overhead Secure Memories. MICRO 2018: 416-427 - 2008
- [c2]Mitchell Hayenga, Chander Sudanthi, Mrinmoy Ghosh, Prakash Ramrakhyani, Nigel C. Paver:
Accurate system-level performance modeling and workload characterization for mobile internet devices. MEDEA@PACT 2008: 54-60 - 2002
- [c1]Jinson Koppanalil, Prakash Ramrakhyani, Sameer Desai, Anu Vaidyanathan, Eric Rotenberg:
A case for dynamic pipeline scaling. CASES 2002: 1-8
Informal and Other Publications
- 2024
- [i5]Sarbartha Banerjee, Shijia Wei, Prakash Ramrakhyani, Mohit Tiwari:
Obsidian: Cooperative State-Space Exploration for Performant Inference on Secure ML Accelerators. CoRR abs/2409.02817 (2024) - 2022
- [i4]Ali Fakhrzadehgan, Prakash Ramrakhyani, Moinuddin K. Qureshi, Mattan Erez:
SecDDR: Enabling Low-Cost Secure Memories by Protecting the DDR Interface. CoRR abs/2209.00685 (2022) - 2021
- [i3]Sarbartha Banerjee, Shijia Wei, Prakash Ramrakhyani, Mohit Tiwari:
Bandwidth Utilization Side-Channel on ML Inference Accelerators. CoRR abs/2110.07157 (2021) - 2020
- [i2]Sarbartha Banerjee, Prakash Ramrakhyani, Shijia Wei, Mohit Tiwari:
SESAME: Software defined Enclaves to Secure Inference Accelerators with Multi-tenant Execution. CoRR abs/2007.06751 (2020) - 2019
- [i1]Fatemehsadat Mireshghallah, Mohammadkazem Taram, Prakash Ramrakhyani, Dean M. Tullsen, Hadi Esmaeilzadeh:
Shredder: Learning Noise to Protect Privacy with Partial DNN Inference on the Edge. CoRR abs/1905.11814 (2019)
Coauthor Index
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