53 citations · 180 across the 10 of their papers we have counts for
4 papers · 1 filter
Scalable and Secure Row-Swap: Efficient and Safe Row Hammer Mitigation in Memory Systems
Jeonghyun Woo, Gururaj Saileshwar, Prashant J. Nair
As Dynamic Random Access Memories (DRAM) scale, they are becoming increasingly susceptible to Row Hammer. By rapidly activating rows of DRAM cells (aggressor rows), attackers can e…
The Dirty Secret of SSDs: Embodied Carbon
Swamit Tannu, Prashant J. Nair
Scalable Solid-State Drives (SSDs) have ushered in a transformative era in data storage and accessibility, spanning both data centers and portable devices. However, the strides mad…
Heterogeneous Acceleration Pipeline for Recommendation System Training
Muhammad Adnan, Yassaman Ebrahimzadeh Maboud, Divya Mahajan +1
Recommendation models rely on deep learning networks and large embedding tables, resulting in computationally and memory-intensive processes. These models are typically trained usi…
Accelerating Simulation of Quantum Circuits under Noise via Computational Reuse
Meng Wang, Swamit Tannu, Prashant J. Nair
To realize the full potential of quantum computers, we must mitigate qubit errors by developing noise-aware algorithms, compilers, and architectures. Thus, simulating quantum progr…