Author

Moinuddin K. Qureshi

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Preprint Aug 2026

From Fleet to Lab: Revisiting the Security and Complexity of Industrial Rowhammer Mitigation

This paper studies efficient and secure Rowhammer mitigation at the Memory-Controller (MC). Rowhammer mitigation faces a fundamental tradeoff between tracking storage and mitigation rate: precise trackers (such as Misra-Gries) avoid unnecessary mitigations but require large CAM structures, whereas sampling-based scheme...

Hritvik Taneja, Moinuddin K. Qureshi · 1 citation

#machine learning Preprint Sep 2026

BOOST: Concurrent Access to Host Memory and HBM to Accelerate LLM Inference

The key insight in BOOST is to use kernel access patterns to make page allocation and runtime data management wave-aware, and applies modulo-based page placement that eliminates access-ratio variance.

A. Saxena, J. Ju, Hritvik Taneja et al. · 0 citations

Jul 2026

SiFAR: Synchronization-Free All-Reduce for Low-Latency LLM Inference

Speculative reduction is proposed, which initiates data transfer before the top barrier and ensures correctness via lightweight validation during low-latency inference, which reduces synchronization overhead during low-latency inference.

Hritvik Taneja, A. Saxena, Abhishek Revinipati et al. · arXiv.org · 1 citation