A case for Refresh Pausing in DRAM memory systems. - Prashant J. Nair; Chia-Chen Chou; Moinuddin K. Qureshi (HPCA, 2013)

ArchShield: architectural framework for assisting DRAM scaling by tolerating high error rates. - Prashant J. Nair; Dae-Hyun Kim 003; Moinuddin K. Qureshi (ISCA, 2013)

Citadel: Efficiently Protecting Stacked Memory from Large Granularity Failures. - Prashant J. Nair; David A. Roberts; Moinuddin K. Qureshi (MICRO, 2014)

Refresh pausing in DRAM memory systems. - Prashant J. Nair; Chia-Chen Chou; Moinuddin K. Qureshi (ACM Trans. Archit. Code Optim., 2014)

DEUCE: Write-Efficient Encryption for Non-Volatile Memories. - Vinson Young; Prashant J. Nair; Moinuddin K. Qureshi (ASPLOS, 2015)

Reducing Refresh Power in Mobile Devices with Morphable ECC. - Chia-Chen Chou; Prashant J. Nair; Moinuddin K. Qureshi (DSN, 2015)

AVATAR: A Variable-Retention-Time (VRT) Aware Refresh for DRAM Systems. - Moinuddin K. Qureshi; Dae-Hyun Kim 003; Samira Manabi Khan; Prashant J. Nair; Onur Mutlu (DSN, 2015)

Reducing read latency of phase change memory via early read and Turbo Read. - Prashant J. Nair; Chia-Chen Chou; Bipin Rajendran; Moinuddin K. Qureshi (HPCA, 2015)

Architectural Support for Mitigating Row Hammering in DRAM Memories. - Dae-Hyun Kim 003; Prashant J. Nair; Moinuddin K. Qureshi (IEEE Comput. Archit. Lett., 2015)

Low-Cost Inter-Linked Subarrays (LISA): Enabling fast inter-subarray data movement in DRAM. - Kevin K. Chang; Prashant J. Nair; Donghyuk Lee; Saugata Ghose; Moinuddin K. Qureshi; Onur Mutlu (HPCA, 2016)

XED: Exposing On-Die Error Detection Information for Strong Memory Reliability. - Prashant J. Nair; Vilas Sridharan; Moinuddin K. Qureshi (ISCA, 2016)

FaultSim: A Fast, Configurable Memory-Reliability Simulator for Conventional and 3D-Stacked Systems. - Prashant J. Nair; David A. Roberts; Moinuddin K. Qureshi (ACM Trans. Archit. Code Optim., 2016)

Citadel: Efficiently Protecting Stacked Memory from TSV and Large Granularity Failures. - Prashant J. Nair; David A. Roberts; Moinuddin K. Qureshi (ACM Trans. Archit. Code Optim., 2016)

DICE: Compressing DRAM Caches for Bandwidth and Capacity. - Vinson Young; Prashant J. Nair; Moinuddin K. Qureshi (ISCA, 2017)

Taming the instruction bandwidth of quantum computers via hardware-managed error correction. - Swamit S. Tannu; Zachary A. Myers; Prashant J. Nair; Douglas M. Carmean; Moinuddin K. Qureshi (MICRO, 2017)

Architectural Techniques to Enable Reliable and Scalable Memory Systems. - Prashant J. Nair (CoRR, 2017)

Architectural techniques to enable reliable and scalable memory systems. - Prashant J. Nair (2017)

SYNERGY: Rethinking Secure-Memory Design for Error-Correcting Memories. - Gururaj Saileshwar; Prashant J. Nair; Prakash Ramrakhyani; Wendy Elsasser; Moinuddin K. Qureshi (HPCA, 2018)

Attaché: Towards Ideal Memory Compression by Mitigating Metadata Bandwidth Overheads. - Seokin Hong; Prashant Jayaprakash Nair; Bülent Abali; Alper Buyuktosunoglu; Kyu-Hyoun Kim; Michael B. Healy (MICRO, 2018)

Morphable Counters: Enabling Compact Integrity Trees For Low-Overhead Secure Memories. - Gururaj Saileshwar; Prashant J. Nair; Prakash Ramrakhyani; Wendy Elsasser; José A. Joao; Moinuddin K. Qureshi (MICRO, 2018)

LISA: Increasing Internal Connectivity in DRAM for Fast Data Movement and Low Latency. - Kevin K. Chang; Prashant J. Nair; Saugata Ghose; Donghyuk Lee; Moinuddin K. Qureshi; Onur Mutlu (CoRR, 2018)

SuDoku: Tolerating High-Rate of Transient Failures for Enabling Scalable STTRAM. - Prashant J. Nair; Bahar Asgari; Moinuddin K. Qureshi (DSN, 2019)

A Case for Multi-Programming Quantum Computers. - Poulami Das 005; Swamit S. Tannu; Prashant J. Nair; Moinuddin K. Qureshi (MICRO, 2019)

Touché: Towards Ideal and Efficient Cache Compression By Mitigating Tag Area Overheads. - Seokin Hong; Bülent Abali; Alper Buyuktosunoglu; Michael B. Healy; Prashant J. Nair (MICRO, 2019)

Thesaurus: Efficient Cache Compression via Dynamic Clustering. - Amin Ghasemazar; Prashant J. Nair; Mieszko Lis (ASPLOS, 2020)

2DCC: Cache Compression in Two Dimensions. - Amin Ghasemazar; Mohammad Ewais; Prashant J. Nair; Mieszko Lis (DATE, 2020)

ADAM: Adaptive Block Placement with Metadata Embedding for Hybrid Caches. - Beomjun Kim; Prashant J. Nair; Seokin Hong (ICCD, 2020)

A Case for Emerging Memories in DNN Accelerators. - Avilash Mukherjee; Kumar Saurav; Prashant J. Nair; Sudip Shekhar; Mieszko Lis (DATE, 2021)

High-Performance Training by Exploiting Hot-Embeddings in Recommendation Systems. - Muhammad Adnan; Yassaman Ebrahimzadeh Maboud; Divya Mahajan 001; Prashant J. Nair (CoRR, 2021)

Accelerating Recommendation System Training by Leveraging Popular Choices. - Muhammad Adnan; Yassaman Ebrahimzadeh Maboud; Divya Mahajan 001; Prashant J. Nair (Proc. VLDB Endow., 2021)

Randomized row-swap: mitigating Row Hammer by breaking spatial correlation between aggressor and victim rows. - Gururaj Saileshwar; Bolin Wang; Moinuddin K. Qureshi; Prashant J. Nair (ASPLOS, 2022)

SafeGuard: Reducing the Security Risk from Row-Hammer via Low-Cost Integrity Protection. - Ali Fakhrzadehgan; Yale N. Patt; Prashant J. Nair; Moinuddin K. Qureshi (HPCA, 2022)

Hydra: enabling low-overhead mitigation of row-hammer at ultra-low thresholds via hybrid tracking. - Moinuddin K. Qureshi; Aditya Rohan; Gururaj Saileshwar; Prashant J. Nair (ISCA, 2022)

AQUA: Scalable Rowhammer Mitigation by Quarantining Aggressor Rows at Runtime. - Anish Saxena; Gururaj Saileshwar; Prashant J. Nair; Moinuddin K. Qureshi (MICRO, 2022)

TQSim: A Case for Reuse-Focused Tree-Based Quantum Circuit Simulation. - Meng Wang 033; Rui Huang; Swamit S. Tannu; Prashant J. Nair (CoRR, 2022)

The Dirty Secret of SSDs: Embodied Carbon. - Swamit S. Tannu; Prashant J. Nair (CoRR, 2022)

SparseFT: Sparsity-aware Fault Tolerance for Reliable CNN Inference on GPUs. - Gwangeun Byeon; Seungtae Lee; Seongwook Kim; Yongjun Kim; Prashant J. Nair; Seokin Hong (PACT, 2023)

HuffDuff: Stealing Pruned DNNs from Sparse Accelerators. - Dingqing Yang; Prashant J. Nair; Mieszko Lis (ASPLOS (2), 2023)

Scalable and Secure Row-Swap: Efficient and Safe Row Hammer Mitigation in Memory Systems. - Jeonghyun Woo; Gururaj Saileshwar; Prashant J. Nair (HPCA, 2023)

FLuID: Mitigating Stragglers in Federated Learning using Invariant Dropout. - Irene Wang; Prashant J. Nair; Divya Mahajan 001 (NeurIPS, 2023)

Structural Coding: A Low-Cost Scheme to Protect CNNs from Large-Granularity Memory Faults. - Ali Asgari Khoshouyeh; Florian Geissler; Syed Sha Qutub; Michael Paulitsch; Prashant J. Nair; Karthik Pattabiraman (SC, 2023)

Enabling Scalable VQE Simulation on Leading HPC Systems. - Meng Wang 033; Fei Hua; Chenxu Liu; Nicholas P. Bauman; Karol Kowalski; Daniel Claudino; Travis S. Humble; Prashant J. Nair; Ang Li 006 (SC Workshops, 2023)

Ad-Rec: Advanced Feature Interactions to Address Covariate-Shifts in Recommendation Networks. - Muhammad Adnan; Yassaman Ebrahimzadeh Maboud; Divya Mahajan 001; Prashant J. Nair (CoRR, 2023)

MPGemmFI: A Fault Injection Technique for Mixed Precision GEMM in ML Applications. - Bo Fang 002; Xinyi Li; Harvey Dam; Cheng Tan 002; Siva Kumar Sastry Hari; Timothy Tsai 002; Ignacio Laguna; Dingwen Tao; Ganesh Gopalakrishnan; Prashant J. Nair; Kevin J. Barker; Ang Li 006 (CoRR, 2023)

Red-QAOA: Efficient Variational Optimization through Circuit Reduction. - Meng Wang 033; Bo Fang 002; Ang Li 006; Prashant J. Nair (ASPLOS (2), 2024)

Understanding Mixed Precision GEMM with MPGemmFI: Insights into Fault Resilience. - Bo Fang 002; Xinyi Li; Harvey Dam; Cheng Tan 002; Siva Kumar Sastry Hari; Timothy Tsai 002; Ignacio Laguna; Dingwen Tao; Ganesh Gopalakrishnan; Prashant J. Nair; Kevin J. Barker; Ang Li 006 (CLUSTER, 2024)

Heterogeneous Acceleration Pipeline for Recommendation System Training. - Muhammad Adnan; Yassaman Ebrahimzadeh Maboud; Divya Mahajan 001; Prashant J. Nair (ISCA, 2024)

Qoncord: A Multi-Device Job Scheduling Framework for Variational Quantum Algorithms. - Meng Wang 033; Poulami Das 005; Prashant J. Nair (MICRO, 2024)

A Case for Speculative Address Translation with Rapid Validation for GPUs. - Junhyeok Park 001; Osang Kwon; Yongho Lee; Seongwook Kim; Gwangeun Byeon; Jihun Yoon; Prashant J. Nair; Seokin Hong (MICRO, 2024)

Keyformer: KV Cache reduction through key tokens selection for Efficient Generative Inference. - Muhammad Adnan; Akhil Arunkumar; Gaurav Jain; Prashant J. Nair; Ilya Soloveychik; Purushotham Kamath (MLSys, 2024)

CircInspect: Integrating Visual Circuit Analysis, Abstraction, and Real-Time Development in Quantum Debugging. - Mushahid Khan; Prashant J. Nair; Olivia Di Matteo (QCE, 2024)

Accelerating Recommender Model Training by Dynamically Skipping Stale Embeddings. - Yassaman Ebrahimzadeh Maboud; Muhammad Adnan; Divya Mahajan 001; Prashant J. Nair (CoRR, 2024)

Workload-Aware Hardware Accelerator Mining for Distributed Deep Learning Training. - Muhammad Adnan; Amar Phanishayee; Janardhan Kulkarni; Prashant J. Nair; Divya Mahajan 001 (CoRR, 2024)

PrisonBreak: Jailbreaking Large Language Models with Fewer Than Twenty-Five Targeted Bit-flips. - Zachary Coalson; Jeonghyun Woo; Shiyang Chen 004; Yu Sun; Lishan Yang; Prashant J. Nair; Bo Fang 002; Sanghyun Hong 001 (CoRR, 2024)

Slipstream: Semantic-Based Training Acceleration for Recommendation Models. - Yassaman Ebrahimzadeh Maboud; Muhammad Adnan; Divya Mahajan 001; Prashant J. Nair (DATE, 2025)

QPRAC: Towards Secure and Practical PRAC-based Rowhammer Mitigation using Priority Queues. - Jeonghyun Woo; Shaopeng Chris Lin; Prashant J. Nair; Aamer Jaleel; Gururaj Saileshwar (HPCA, 2025)

DAPPER: A Performance-Attack-Resilient Tracker for RowHammer Defense. - Jeonghyun Woo; Prashant J. Nair (HPCA, 2025)

Accelerating Simulation of Quantum Circuits under Noise via Computational Reuse. - Meng Wang 033; Swamit Tannu; Prashant J. Nair (ISCA, 2025)

Avalanche: Optimizing Cache Utilization via Matrix Reordering for Sparse Matrix Multiplication Accelerator. - Gwangeun Byeon; Seongwook Kim; Hyungjin Kim; Sukhyun Han; Jinkwon Kim; Prashant J. Nair; Taewook Kang; Seokin Hong (ISCA, 2025)

Magellan: A High-Performance Loop-Guided Prefetcher for Indirect Memory Access. - Gelin Fu; Tian Xia 008; Mingzhuo Yin; Prashant J. Nair; Mieszko Lis; Pengju Ren (ISCA, 2025)

When Mitigations Backfire: Timing Channel Attacks and Defense for PRAC-Based RowHammer Mitigations. - Jeonghyun Woo; Joyce Qu; Gururaj Saileshwar; Prashant Jayaprakash Nair (ISCA, 2025)

Dialogue Without Limits: Constant-Sized KV Caches for Extended Responses in LLMs. - Ravi Ghadia; Avinash Kumar; Gaurav Jain; Prashant J. Nair; Poulami Das 005 (CoRR, 2025)

Context Switching for Secure Multi-programming of Near-Term Quantum Computers. - Avinash Kumar; Meng Wang 033; Chenxu Liu; Ang Li 006; Prashant J. Nair; Poulami Das 005 (CoRR, 2025)

Foresight: Adaptive Layer Reuse for Accelerated and High-Quality Text-to-Video Generation. - Muhammad Adnan; Nithesh kurella; Akhil Arunkumar; Prashant J. Nair (CoRR, 2025)

Taming Wild Branches: Overcoming Hard-to-Predict Branches using the Bullseye Predictor. - Emet Behrendt; Shing Wai Pun; Prashant J. Nair (CoRR, 2025)

CnC-PRAC: Coalesce, not Cache, Per Row Activation Counts for an Efficient in-DRAM Rowhammer Mitigation. - Chris S. Lin; Jeonghyun Woo; Prashant J. Nair; Gururaj Saileshwar (CoRR, 2025)