Prashant J. Nair

75 papers A* 30A 7B 1C 2Misc 1Journal 29Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Accelerating Simulation of Quantum Circuits under Noise via Computational Reuse. ISCA Meng Wang, Swamit Tannu, Prashant J. Nair
2025	A*	`conf`	Avalanche: Optimizing Cache Utilization via Matrix Reordering for Sparse Matrix Multiplication Accelerator. ISCA Gwangeun Byeon, Seongwook Kim, Hyungjin Kim, Sukhyun Han, Jinkwon Kim, Prashant J. Nair, Taewook Kang, Seokin Hong
2025	J	`jnl`	CircInspect: Integrating Visual Circuit Analysis, Abstraction, and Real-Time Development in Quantum Debugging. CoRR Mushahid Khan, Prashant J. Nair, Olivia Di Matteo
2025	J	`jnl`	CnC-PRAC: Coalesce, not Cache, Per Row Activation Counts for an Efficient in-DRAM Rowhammer Mitigation. CoRR Chris S. Lin, Jeonghyun Woo, Prashant J. Nair, Gururaj Saileshwar
2025	J	`jnl`	Context Switching for Secure Multi-programming of Near-Term Quantum Computers. CoRR Avinash Kumar, Meng Wang, Chenxu Liu, Ang Li, Prashant J. Nair, Poulami Das
2025	A*	`conf`	DAPPER: A Performance-Attack-Resilient Tracker for RowHammer Defense. HPCA Jeonghyun Woo, Prashant J. Nair
2025	J	`jnl`	DAPPER: A Performance-Attack-Resilient Tracker for RowHammer Defense. CoRR Jeonghyun Woo, Prashant J. Nair
2025	A*	`conf`	Dialogue Without Limits: Constant-Sized KV Caches for Extended Response in LLMs. ICML Ravi Ghadia, Avinash Kumar, Gaurav Jain, Prashant J. Nair, Poulami Das
2025	J	`jnl`	Dialogue Without Limits: Constant-Sized KV Caches for Extended Responses in LLMs. CoRR Ravi Ghadia, Avinash Kumar, Gaurav Jain, Prashant J. Nair, Poulami Das
2025	J	`jnl`	Foresight: Adaptive Layer Reuse for Accelerated and High-Quality Text-to-Video Generation. CoRR Muhammad Adnan, Nithesh Kurella, Akhil Arunkumar, Prashant J. Nair
2025	A*	`conf`	Magellan: A High-Performance Loop-Guided Prefetcher for Indirect Memory Access. ISCA Gelin Fu, Tian Xia, Mingzhuo Yin, Prashant J. Nair, Mieszko Lis, Pengju Ren
2025	A*	`conf`	QPRAC: Towards Secure and Practical PRAC-based Rowhammer Mitigation using Priority Queues. HPCA Jeonghyun Woo, Shaopeng Chris Lin, Prashant J. Nair, Aamer Jaleel, Gururaj Saileshwar
2025	J	`jnl`	QPRAC: Towards Secure and Practical PRAC-based Rowhammer Mitigation using Priority Queues. CoRR Jeonghyun Woo, Chris S. Lin, Prashant J. Nair, Aamer Jaleel, Gururaj Saileshwar
2025	A*	`conf`	RayN: Ray Tracing Acceleration with Near-memory Computing. MICRO Mohammadreza Saed, Prashant J. Nair, Tor M. Aamodt
2025	A	`conf`	Slipstream: Semantic-Based Training Acceleration for Recommendation Models. DATE Yassaman Ebrahimzadeh Maboud, Muhammad Adnan, Divya Mahajan, Prashant J. Nair
2025	J	`jnl`	Taming Wild Branches: Overcoming Hard-to-Predict Branches using the Bullseye Predictor. CoRR Emet Behrendt, Shing Wai Pun, Prashant J. Nair
2025	J	`jnl`	When Mitigations Backfire: Timing Channel Attacks and Defense for PRAC-Based RowHammer Mitigations. CoRR Jeonghyun Woo, Joyce Qu, Gururaj Saileshwar, Prashant J. Nair
2024	A*	`conf`	A Case for Speculative Address Translation with Rapid Validation for GPUs. MICRO Junhyeok Park, Osang Kwon, Yongho Lee, Seongwook Kim, Gwangeun Byeon, Jihun Yoon, Prashant J. Nair, Seokin Hong
2024	J	`jnl`	Accelerating Recommender Model Training by Dynamically Skipping Stale Embeddings. CoRR Yassaman Ebrahimzadeh Maboud, Muhammad Adnan, Divya Mahajan, Prashant J. Nair
2024	Misc	`conf`	CircInspect: Integrating Visual Circuit Analysis, Abstraction, and Real-Time Development in Quantum Debugging. QCE Mushahid Khan, Prashant J. Nair, Olivia Di Matteo
2024	A*	`conf`	Heterogeneous Acceleration Pipeline for Recommendation System Training. ISCA Muhammad Adnan, Yassaman Ebrahimzadeh Maboud, Divya Mahajan, Prashant J. Nair
2024	J	`jnl`	Keyformer: KV Cache Reduction through Key Tokens Selection for Efficient Generative Inference. CoRR Muhammad Adnan, Akhil Arunkumar, Gaurav Jain, Prashant J. Nair, Ilya Soloveychik, Purushotham Kamath
2024	—	`conf`	Keyformer: KV Cache reduction through key tokens selection for Efficient Generative Inference. MLSys Muhammad Adnan, Akhil Arunkumar, Gaurav Jain, Prashant J. Nair, Ilya Soloveychik, Purushotham Kamath
2024	J	`jnl`	PrisonBreak: Jailbreaking Large Language Models with Fewer Than Twenty-Five Targeted Bit-flips. CoRR Zachary Coalson, Jeonghyun Woo, Shiyang Chen, Yu Sun, Lishan Yang, Prashant J. Nair, Bo Fang, Sanghyun Hong
2024	A*	`conf`	Qoncord: A Multi-Device Job Scheduling Framework for Variational Quantum Algorithms. MICRO Meng Wang, Poulami Das, Prashant J. Nair
2024	—	`conf`	Red-QAOA: Efficient Variational Optimization through Circuit Reduction. ASPLOS (2) Meng Wang, Bo Fang, Ang Li, Prashant J. Nair
2024	C	`conf`	Understanding Mixed Precision GEMM with MPGemmFI: Insights into Fault Resilience. CLUSTER Bo Fang, Xinyi Li, Harvey Dam, Cheng Tan, Siva Kumar Sastry Hari, Timothy Tsai, Ignacio Laguna, Dingwen Tao, Ganesh Gopalakrishnan, Prashant J. Nair, Kevin J. Barker, Ang Li
2024	J	`jnl`	Workload-Aware Hardware Accelerator Mining for Distributed Deep Learning Training. CoRR Muhammad Adnan, Amar Phanishayee, Janardhan Kulkarni, Prashant J. Nair, Divya Mahajan
2023	J	`jnl`	Ad-Rec: Advanced Feature Interactions to Address Covariate-Shifts in Recommendation Networks. CoRR Muhammad Adnan, Yassaman Ebrahimzadeh Maboud, Divya Mahajan, Prashant J. Nair
2023	—	`conf`	Enabling Scalable VQE Simulation on Leading HPC Systems. SC Workshops Meng Wang, Fei Hua, Chenxu Liu, Nicholas P. Bauman, Karol Kowalski, Daniel Claudino, Travis S. Humble, Prashant J. Nair, Ang Li
2023	A*	`conf`	FLuID: Mitigating Stragglers in Federated Learning using Invariant Dropout. NeurIPS Irene Wang, Prashant J. Nair, Divya Mahajan
2023	J	`jnl`	FLuID: Mitigating Stragglers in Federated Learning using Invariant Dropout. CoRR Irene Wang, Prashant J. Nair, Divya Mahajan
2023	—	`conf`	HuffDuff: Stealing Pruned DNNs from Sparse Accelerators. ASPLOS (2) Dingqing Yang, Prashant J. Nair, Mieszko Lis
2023	J	`jnl`	MPGemmFI: A Fault Injection Technique for Mixed Precision GEMM in ML Applications. CoRR Bo Fang, Xinyi Li, Harvey Dam, Cheng Tan, Siva Kumar Sastry Hari, Timothy Tsai, Ignacio Laguna, Dingwen Tao, Ganesh Gopalakrishnan, Prashant J. Nair, Kevin J. Barker, Ang Li
2023	A*	`conf`	Scalable and Secure Row-Swap: Efficient and Safe Row Hammer Mitigation in Memory Systems. HPCA Jeonghyun Woo, Gururaj Saileshwar, Prashant J. Nair
2023	B	`conf`	SparseFT: Sparsity-aware Fault Tolerance for Reliable CNN Inference on GPUs. PACT Gwangeun Byeon, Seungtae Lee, Seongwook Kim, Yongjun Kim, Prashant J. Nair, Seokin Hong
2023	A	`conf`	Structural Coding: A Low-Cost Scheme to Protect CNNs from Large-Granularity Memory Faults. SC Ali Asgari Khoshouyeh, Florian Geissler, Syed Sha Qutub, Michael Paulitsch, Prashant J. Nair, Karthik Pattabiraman
2022	A*	`conf`	AQUA: Scalable Rowhammer Mitigation by Quarantining Aggressor Rows at Runtime. MICRO Anish Saxena, Gururaj Saileshwar, Prashant J. Nair, Moinuddin K. Qureshi
2022	J	`jnl`	Heterogeneous Acceleration Pipeline for Recommendation System Training. CoRR Muhammad Adnan, Yassaman Ebrahimzadeh Maboud, Divya Mahajan, Prashant J. Nair
2022	A*	`conf`	Hydra: enabling low-overhead mitigation of row-hammer at ultra-low thresholds via hybrid tracking. ISCA Moinuddin K. Qureshi, Aditya Rohan, Gururaj Saileshwar, Prashant J. Nair
2022	A*	`conf`	Randomized row-swap: mitigating Row Hammer by breaking spatial correlation between aggressor and victim rows. ASPLOS Gururaj Saileshwar, Bolin Wang, Moinuddin K. Qureshi, Prashant J. Nair
2022	A*	`conf`	SafeGuard: Reducing the Security Risk from Row-Hammer via Low-Cost Integrity Protection. HPCA Ali Fakhrzadehgan, Yale N. Patt, Prashant J. Nair, Moinuddin K. Qureshi
2022	J	`jnl`	Scalable and Secure Row-Swap: Efficient and Safe Row Hammer Mitigation in Memory Systems. CoRR Jeonghyun Woo, Gururaj Saileshwar, Prashant J. Nair
2022	J	`jnl`	TQSim: A Case for Reuse-Focused Tree-Based Quantum Circuit Simulation. CoRR Meng Wang, Rui Huang, Swamit S. Tannu, Prashant J. Nair
2022	J	`jnl`	The Dirty Secret of SSDs: Embodied Carbon. CoRR Swamit S. Tannu, Prashant J. Nair
2021	A	`conf`	A Case for Emerging Memories in DNN Accelerators. DATE Avilash Mukherjee, Kumar Saurav, Prashant J. Nair, Sudip Shekhar, Mieszko Lis
2021	J	`jnl`	Accelerating Recommendation System Training by Leveraging Popular Choices. Proc. VLDB Endow. Muhammad Adnan, Yassaman Ebrahimzadeh Maboud, Divya Mahajan, Prashant J. Nair
2021	J	`jnl`	High-Performance Training by Exploiting Hot-Embeddings in Recommendation Systems. CoRR Muhammad Adnan, Yassaman Ebrahimzadeh Maboud, Divya Mahajan, Prashant J. Nair
2020	A	`conf`	2DCC: Cache Compression in Two Dimensions. DATE Amin Ghasemazar, Mohammad Ewais, Prashant J. Nair, Mieszko Lis
2020	C	`conf`	ADAM: Adaptive Block Placement with Metadata Embedding for Hybrid Caches. ICCD Beomjun Kim, Prashant J. Nair, Seokin Hong
2020	A*	`conf`	Thesaurus: Efficient Cache Compression via Dynamic Clustering. ASPLOS Amin Ghasemazar, Prashant J. Nair, Mieszko Lis
2019	A*	`conf`	A Case for Multi-Programming Quantum Computers. MICRO Poulami Das, Swamit S. Tannu, Prashant J. Nair, Moinuddin K. Qureshi
2019	A	`conf`	SuDoku: Tolerating High-Rate of Transient Failures for Enabling Scalable STTRAM. DSN Prashant J. Nair, Bahar Asgari, Moinuddin K. Qureshi
2019	A*	`conf`	Touché: Towards Ideal and Efficient Cache Compression By Mitigating Tag Area Overheads. MICRO Seokin Hong, Bülent Abali, Alper Buyuktosunoglu, Michael B. Healy, Prashant J. Nair
2019	J	`jnl`	Touché: Towards Ideal and Efficient Cache Compression By Mitigating Tag Area Overheads. CoRR Seokin Hong, Bülent Abali, Alper Buyuktosunoglu, Michael B. Healy, Prashant J. Nair
2018	J	`jnl`	LISA: Increasing Internal Connectivity in DRAM for Fast Data Movement and Low Latency. CoRR Kevin K. Chang, Prashant J. Nair, Saugata Ghose, Donghyuk Lee, Moinuddin K. Qureshi, Onur Mutlu
2018	A*	`conf`	Morphable Counters: Enabling Compact Integrity Trees For Low-Overhead Secure Memories. MICRO Gururaj Saileshwar, Prashant J. Nair, Prakash Ramrakhyani, Wendy Elsasser, José A. Joao, Moinuddin K. Qureshi
2018	A*	`conf`	SYNERGY: Rethinking Secure-Memory Design for Error-Correcting Memories. HPCA Gururaj Saileshwar, Prashant J. Nair, Prakash Ramrakhyani, Wendy Elsasser, Moinuddin K. Qureshi
2017	J	`jnl`	Architectural Techniques to Enable Reliable and Scalable Memory Systems. CoRR Prashant J. Nair
2017	—	`—`	Architectural techniques to enable reliable and scalable memory systems. Prashant J. Nair
2017	A*	`conf`	DICE: Compressing DRAM Caches for Bandwidth and Capacity. ISCA Vinson Young, Prashant J. Nair, Moinuddin K. Qureshi
2017	A*	`conf`	Taming the instruction bandwidth of quantum computers via hardware-managed error correction. MICRO Swamit S. Tannu, Zachary A. Myers, Prashant J. Nair, Douglas M. Carmean, Moinuddin K. Qureshi
2016	J	`jnl`	Citadel: Efficiently Protecting Stacked Memory from TSV and Large Granularity Failures. ACM Trans. Archit. Code Optim. Prashant J. Nair, David A. Roberts, Moinuddin K. Qureshi
2016	J	`jnl`	FaultSim: A Fast, Configurable Memory-Reliability Simulator for Conventional and 3D-Stacked Systems. ACM Trans. Archit. Code Optim. Prashant J. Nair, David A. Roberts, Moinuddin K. Qureshi
2016	A*	`conf`	Low-Cost Inter-Linked Subarrays (LISA): Enabling fast inter-subarray data movement in DRAM. HPCA Kevin K. Chang, Prashant J. Nair, Donghyuk Lee, Saugata Ghose, Moinuddin K. Qureshi, Onur Mutlu
2016	A*	`conf`	XED: Exposing On-Die Error Detection Information for Strong Memory Reliability. ISCA Prashant J. Nair, Vilas Sridharan, Moinuddin K. Qureshi
2015	A	`conf`	AVATAR: A Variable-Retention-Time (VRT) Aware Refresh for DRAM Systems. DSN Moinuddin K. Qureshi, Dae-Hyun Kim, Samira Manabi Khan, Prashant J. Nair, Onur Mutlu
2015	J	`jnl`	Architectural Support for Mitigating Row Hammering in DRAM Memories. IEEE Comput. Archit. Lett. Dae-Hyun Kim, Prashant J. Nair, Moinuddin K. Qureshi
2015	A*	`conf`	DEUCE: Write-Efficient Encryption for Non-Volatile Memories. ASPLOS Vinson Young, Prashant J. Nair, Moinuddin K. Qureshi
2015	A	`conf`	Reducing Refresh Power in Mobile Devices with Morphable ECC. DSN Chia-Chen Chou, Prashant J. Nair, Moinuddin K. Qureshi
2015	A*	`conf`	Reducing read latency of phase change memory via early read and Turbo Read. HPCA Prashant J. Nair, Chia-Chen Chou, Bipin Rajendran, Moinuddin K. Qureshi
2014	A*	`conf`	Citadel: Efficiently Protecting Stacked Memory from Large Granularity Failures. MICRO Prashant J. Nair, David A. Roberts, Moinuddin K. Qureshi
2014	J	`jnl`	Refresh pausing in DRAM memory systems. ACM Trans. Archit. Code Optim. Prashant J. Nair, Chia-Chen Chou, Moinuddin K. Qureshi
2013	A*	`conf`	A case for Refresh Pausing in DRAM memory systems. HPCA Prashant J. Nair, Chia-Chen Chou, Moinuddin K. Qureshi
2013	A*	`conf`	ArchShield: architectural framework for assisting DRAM scaling by tolerating high error rates. ISCA Prashant J. Nair, Dae-Hyun Kim, Moinuddin K. Qureshi