Comparison of two storage models in data-driven multithreaded architectures. - Murali Annavaram; Walid A. Najjar (SPDP, 1996)

Instruction overhead and data locality effects in superscalar processors. - Murali Annavaram; Gary S. Tyson; Edward S. Davidson (ISPASS, 2000)

Data prefetching by dependence graph precomputation. - Murali Annavaram; Jignesh M. Patel; Edward S. Davidson (ISCA, 2001)

Prefetch mechanisms that acquire and exploit application specific knowledge. - Murali Annavaram (2001)

Branch Behavior of a Commercial OLTP Workload on Intel IA32 Processors. - Murali Annavaram; Trung A. Diep; John Paul Shen (ICCD, 2002)

Scaling and Charact rizing Database Workloads: Bridging the Gap between Research and Practice. - Richard A. Hankins; Trung A. Diep; Murali Annavaram; Brian Hirano; Harald Eri; Hubert Nueckel; John Paul Shen (MICRO, 2003)

Call graph prefetching for database applications. - Murali Annavaram; Jignesh M. Patel; Edward S. Davidson (ACM Trans. Comput. Syst., 2003)

The Fuzzy Correlation between Code and Performance Predictability. - Murali Annavaram; Ryan N. Rakvic; Marzia Polito; Jean-Yves Bouguet; Richard A. Hankins; Bob Davies (MICRO, 2004)

A case for shared instruction cache on chip multiprocessors running OLTP. - Partha Kundu; Murali Annavaram; Trung A. Diep; John Paul Shen (SIGARCH Comput. Archit. News, 2004)

Mitigating Amdahl's Law through EPI Throttling. - Murali Annavaram; Ed Grochowski; John Paul Shen (ISCA, 2005)

Die Stacking (3D) Microarchitecture. - Bryan Black; Murali Annavaram; Ned Brekelbaum; John DeVale; Lei Jiang; Gabriel H. Loh; Don McCaule; Patrick Morrow; Donald W. Nelson; Daniel Pantuso; Paul Reed; Jeff Rupley; et al. (MICRO, 2006)

Implications of device timing variability on full chip timing. - Ed Grochowski; Murali Annavaram; Paul Reed (ISPD, 2008)

Virtual trip lines for distributed privacy-preserving traffic monitoring. - Baik Hoh; Marco Gruteser; Ryan Herring; Jeff Ban; Daniel B. Work; Juan Carlos Herrera; Alexandre M. Bayen; Murali Annavaram; Quinn Jacobson (MobiSys, 2008)

Game theoretic approach to location sharing with privacy in a community-based mobile safety application. - Hua Liu 005; Bhaskar Krishnamachari; Murali Annavaram (MSWiM, 2008)

Optimal time-resource allocation for activity-detection via multimodal sensing. - Gautam Thatte; Viktor Rozgic; Ming Li 026; Sabyasachi Ghosh; Urbashi Mitra; Shrikanth S. Narayanan; Murali Annavaram; Donna Spruijt-Metz (BODYNETS, 2009)

Optimal Allocation of Time-Resources for Multihypothesis Activity-Level Detection. - Gautam Thatte; Viktor Rozgic; Ming Li 026; Sabyasachi Ghosh; Urbashi Mitra; Shrikanth S. Narayanan; Murali Annavaram; Donna Spruijt-Metz (DCOSS, 2009)

Exploiting Simulation Slack to Improve Parallel Simulation Speed. - Jianwei Chen; Murali Annavaram; Michel Dubois 001 (ICPP, 2009)

Tolerance of performance degrading faults for effective yield improvement. - Tong-Yu Hsieh; Melvin A. Breuer; Murali Annavaram; Sandeep K. Gupta 001; Kuen-Jong Lee (ITC, 2009)

The Tradeoff between Energy Efficiency and User State Estimation Accuracy in Mobile Sensing. - Yi Wang 035; Bhaskar Krishnamachari; Qing Zhao 001; Murali Annavaram (MobiCASE, 2009)

A framework of energy efficient mobile sensing for automatic user state recognition. - Yi Wang 035; Jialiu Lin; Murali Annavaram; Quinn Jacobson; Jason I. Hong; Bhaskar Krishnamachari; Norman M. Sadeh (MobiSys, 2009)

SlackSim: a platform for parallel simulations of CMPs on CMPs. - Jianwei Chen; Murali Annavaram; Michel Dubois 001 (SIGARCH Comput. Archit. News, 2009)

WearMon: Reliability monitoring using adaptive critical path testing. - Bardia Zandian; Waleed Dweik; Suk Hun Kang; Thomas Punihaole; Murali Annavaram (DSN, 2010)

Markov-optimal sensing policy for user state estimation in mobile devices. - Yi Wang 035; Bhaskar Krishnamachari; Qing Zhao 001; Murali Annavaram (IPSN, 2010)

KnightShift: Shifting the I/O Burden in Datacenters to Management Processor for Energy Efficiency. - Sabyasachi Ghosh; Mark Redekopp; Murali Annavaram (ISCA Workshops, 2010)

Guarded Power Gating in a Multi-core Setting. - Niti Madan; Alper Buyuktosunoglu; Pradip Bose; Murali Annavaram (ISCA Workshops, 2010)

Adaptive and Speculative Slack Simulations of CMPs on CMPs. - Jianwei Chen; Lakshmi Kumar Dabbiru; Daniel Wong 001; Murali Annavaram; Michel Dubois 001 (MICRO, 2010)

Cross-layer resilience using wearout aware design flow. - Bardia Zandian; Murali Annavaram (DSN, 2011)

Modeling high-level descriptions of real-life physical activities using latent topic modeling of multimodal sensor signals. - Samuel Kim; Ming Li 026; Sangwon Lee; Urbashi Mitra; B. Adar Emken; Donna Spruijt-Metz; Murali Annavaram; Shrikanth S. Narayanan (EMBC, 2011)

A case for guarded power gating for multi-core processors. - Niti Madan; Alper Buyuktosunoglu; Pradip Bose; Murali Annavaram (HPCA, 2011)

Analyzing the effects of compiler optimizations on application reliability. - Melina Demertzi; Murali Annavaram; Mary W. Hall (IISWC, 2011)

CPPC: correctable parity protected cache. - Mehrtash Manoochehri; Murali Annavaram; Michel Dubois 001 (ISCA, 2011)

Soft error benchmarking of L2 caches with PARMA. - Jinho Suh; Mehrtash Manoochehri; Murali Annavaram; Michel Dubois 001 (SIGMETRICS, 2011)

Optimal Time-Resource Allocation for Energy-Efficient Physical Activity Detection. - Gautam Thatte; Ming Li 026; Sangwon Lee; B. Adar Emken; Murali Annavaram; Shrikanth S. Narayanan; Donna Spruijt-Metz; Urbashi Mitra (IEEE Trans. Signal Process., 2011)

MACAU: A Markov model for reliability evaluations of caches under Single-bit and Multi-bit Upsets. - Jinho Suh; Murali Annavaram; Michel Dubois 001 (HPCA, 2012)

Benchmarking ISA reliability to intermittent errors. - Melina Demertzi; Bardia Zandian; Ricardo Rojas; Murali Annavaram (IISWC, 2012)

Wireless Body Area Networks: Where does energy go? - Sangwon Lee; Murali Annavaram (IISWC, 2012)

A case for 3D stacked analog circuits in high-speed sensing systems. - Mohammad Abdel-Majeed; Mike Chen; Murali Annavaram (ISQED, 2012)

KnightShift: Scaling the Energy Proportionality Wall through Server-Level Heterogeneity. - Daniel Wong 001; Murali Annavaram (MICRO, 2012)

Warped-DMR: Light-weight Error Detection for GPGPU. - Hyeran Jeon; Murali Annavaram (MICRO, 2012)

Semi-Markov state estimation and policy optimization for energy efficient mobile sensing. - Yi Wang 035; Bhaskar Krishnamachari; Murali Annavaram (SECON, 2012)

KNOWME: a case study in wireless body area sensor network design. - Urbashi Mitra; B. Adar Emken; Sangwon Lee; Ming Li 026; Viktor Rozgic; Gautam Thatte; Harshvardhan Vathsangam; Daphney-Stavroula Zois; Murali Annavaram; Shrikanth S. Narayanan; Marco Levorato; Donna Spruijt-Metz; et al. (IEEE Commun. Mag., 2012)

KNOWME: An Energy-Efficient Multimodal Body Area Network for Physical Activity Monitoring. - Gautam Thatte; Ming Li 026; Sangwon Lee; B. Adar Emken; Shrikanth S. Narayanan; Urbashi Mitra; Donna Spruijt-Metz; Murali Annavaram (ACM Trans. Embed. Comput. Syst., 2012)

Enhancing Privacy and Accuracy in Probe Vehicle-Based Traffic Monitoring via Virtual Trip Lines. - Baik Hoh; Toch Iwuchukwu; Quinn Jacobson; Daniel B. Work; Alexandre M. Bayen; Ryan Herring; Juan Carlos Herrera; Marco Gruteser; Murali Annavaram; Jeff Ban (IEEE Trans. Mob. Comput., 2012)

PHYS: Profiled-HYbrid Sampling for soft error reliability benchmarking. - Jinho Suh; Murali Annavaram; Michel Dubois 001 (DSN, 2013)

Warped register file: A power efficient register file for GPGPUs. - Mohammad Abdel-Majeed; Murali Annavaram (HPCA, 2013)

Warped gates: gating aware scheduling and power gating for GPGPUs. - Mohammad Abdel-Majeed; Daniel Wong 001; Murali Annavaram (MICRO, 2013)

Scaling the Energy Proportionality Wall with KnightShift. - Daniel Wong 001; Murali Annavaram (IEEE Micro, 2013)

NFRA: Generalized Network Flow-Based Resource Allocation for Hosting Centers. - Kimish Patel; Murali Annavaram; Massoud Pedram (IEEE Trans. Computers, 2013)

PATS: pattern aware scheduling and power gating for GPGPUs. - Qiumin Xu; Murali Annavaram (PACT, 2014)

Reliability-Aware Exceptions: Tolerating intermittent faults in microprocessor array structures. - Waleed Dweik; Murali Annavaram; Michel Dubois 001 (DATE, 2014)

Warped-Shield: Tolerating Hard Faults in GPGPUs. - Waleed Dweik; Mohammad Abdel-Majeed; Murali Annavaram (DSN, 2014)

Implications of high energy proportional servers on cluster-wide energy proportionality. - Daniel Wong 001; Murali Annavaram (HPCA, 2014)

Graph processing on GPUs: Where are the bottlenecks? - Qiumin Xu; Hyeran Jeon; Murali Annavaram (IISWC, 2014)

Efficient RAS support for die-stacked DRAM. - Hyeran Jeon; Gabriel H. Loh; Murali Annavaram (ITC, 2014)

Extremely Low Cost Error Protection with Correctable Parity Protected Cache. - Mehrtash Manoochehri; Murali Annavaram; Michel Dubois 001 (IEEE Trans. Computers, 2014)

Warped-RE: Low-Cost Error Detection and Correction in GPUs. - Mohammad Abdel-Majeed; Waleed Dweik; Hyeran Jeon; Murali Annavaram (DSN, 2015)

A Retrospective Look Back on the Road Towards Energy Proportionality. - Daniel Wong 001; Julia Chen; Murali Annavaram (IISWC, 2015)

Revealing Critical Loads and Hidden Data Locality in GPGPU Applications. - Gunjae Koo; Hyeran Jeon; Murali Annavaram (IISWC, 2015)

Warped-compression: enabling power efficient GPUs through register compression. - Sangpil Lee; Keunsoo Kim; Gunjae Koo; Hyeran Jeon; Won Woo Ro; Murali Annavaram (ISCA, 2015)

GPU register file virtualization. - Hyeran Jeon; Gokul Subramanian Ravi; Nam Sung Kim; Murali Annavaram (MICRO, 2015)

A privacy mechanism for mobile-based urban traffic monitoring. - Chi Wang 001; Hua Liu 005; Kwame-Lante Wright; Bhaskar Krishnamachari; Murali Annavaram (Pervasive Mob. Comput., 2015)

Approximating warps with intra-warp operand value similarity. - Daniel Wong 001; Nam Sung Kim; Murali Annavaram (HPCA, 2016)

Warped-preexecution: A GPU pre-execution approach for improving latency hiding. - Keunsoo Kim; Sangpil Lee; Myung Kuk Yoon; Gunjae Koo; Won Woo Ro; Murali Annavaram (HPCA, 2016)

Origami: Folding Warps for Energy Efficient GPUs. - Mohammad Abdel-Majeed; Daniel Wong 001; Justin Kuang; Murali Annavaram (ICS, 2016)

APRES: Improving Cache Efficiency by Exploiting Load Characteristics on GPUs. - Yunho Oh; Keunsoo Kim; Myung Kuk Yoon; Jong Hyun Park; Yongjun Park 001; Won Woo Ro; Murali Annavaram (ISCA, 2016)

Warped-Slicer: Efficient Intra-SM Slicing through Dynamic Resource Partitioning for GPU Multiprogramming. - Qiumin Xu; Hyeran Jeon; Keunsoo Kim; Won Woo Ro; Murali Annavaram (ISCA, 2016)

Virtual Thread: Maximizing Thread-Level Parallelism beyond GPU Scheduling Limit. - Myung Kuk Yoon; Keunsoo Kim; Sangpil Lee; Won Woo Ro; Murali Annavaram (ISCA, 2016)

CIRCE - a runtime scheduler for DAG-based dispersed computing: demo. - Aleksandra Knezevic; Quynh Nguyen 002; Jason A. Tran; Pradipta Ghosh; Pranav Sakulkar; Bhaskar Krishnamachari; Murali Annavaram (SEC, 2017)

Pilot Register File: Energy Efficient Partitioned Register File for GPUs. - Mohammad Abdel-Majeed; Alireza Shafaei; Hyeran Jeon; Massoud Pedram; Murali Annavaram (HPCA, 2017)

G-Scalar: Cost-Effective Generalized Scalar Execution Architecture for Power-Efficient GPUs. - Zhenhong Liu; Syed Zohaib Gilani; Murali Annavaram; Nam Sung Kim (HPCA, 2017)

Elastic-Cache: GPU Cache Architecture for Efficient Fine- and Coarse-Grained Cache-Line Management. - Bingchao Li; Jizhou Sun; Murali Annavaram; Nam Sung Kim (IPDPS, 2017)

Power Efficient Sharing-Aware GPU Data Management. - Abdulaziz Tabbakh; Murali Annavaram; Xuehai Qian (IPDPS, 2017)

Access Pattern-Aware Cache Management for Improving Data Utilization in GPU. - Gunjae Koo; Yunho Oh; Won Woo Ro; Murali Annavaram (ISCA, 2017)

Docker characterization on high performance SSDs. - Qiumin Xu; Manu Awasthi; Krishna T. Malladi; Janki Bhimani; Jingpei Yang; Murali Annavaram (ISPASS, 2017)

Summarizer: trading communication with computing near storage. - Gunjae Koo; Kiran Kumar Matam; Te I; H. V. Krishna Giri Narra; Jing Li 021; Hung-Wei Tseng 001; Steven Swanson; Murali Annavaram (MICRO, 2017)

Improving Energy Efficiency of GPUs through Data Compression and Compressed Execution. - Sangpil Lee; Keunsoo Kim; Gunjae Koo; Hyeran Jeon; Murali Annavaram; Won Woo Ro (IEEE Trans. Computers, 2017)

G-TSC: Timestamp Based Coherence for GPUs. - Abdulaziz Tabbakh; Xuehai Qian; Murali Annavaram (HPCA, 2018)

CTA-Aware Prefetching and Scheduling for GPU. - Gunjae Koo; Hyeran Jeon; Zhenhong Liu; Nam Sung Kim; Murali Annavaram (IPDPS, 2018)

GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training. - Mingchao Yu; Zhifeng Lin; Krishna Narra; Songze Li; Youjie Li; Nam Sung Kim; Alexander G. Schwing; Murali Annavaram; Salman Avestimehr (NeurIPS, 2018)

GPUGuard: mitigating contention based side and covert channel attacks on GPUs. - Qiumin Xu; Hoda Naghibijouybari; Shibo Wang; Nael B. Abu-Ghazaleh; Murali Annavaram (ICS, 2019)

GraphSSD: graph semantics aware SSD. - Kiran Kumar Matam; Gunjae Koo; Haipeng Zha 001; Hung-Wei Tseng 001; Murali Annavaram (ISCA, 2019)

Linebacker: preserving victim cache lines in idle register files of GPUs. - Yunho Oh; Gunjae Koo; Murali Annavaram; Won Woo Ro (ISCA, 2019)

Slack squeeze coded computing for adaptive straggler mitigation. - Krishna Giri Narra; Zhifeng Lin; Mehrdad Kiamari; Salman Avestimehr; Murali Annavaram (SC, 2019)

Distributed Matrix Multiplication Using Speed Adaptive Coding. - Krishna Narra; Zhifeng Lin; Mehrdad Kiamari; Salman Avestimehr; Murali Annavaram (CoRR, 2019)

Collage Inference: Tolerating Stragglers in Distributed Neural Network Inference using Coding. - Krishna Giri Narra; Zhifeng Lin; Ganesh Ananthanarayanan; Salman Avestimehr; Murali Annavaram (CoRR, 2019)

PartitionedVC: Partitioned External Memory Graph Analytics Framework for SSDs. - Kiran Kumar Matam; Hanieh Hashemi; Murali Annavaram (CoRR, 2019)

Collage Inference: Achieving low tail latency during distributed image classification using coded redundancy models. - Krishna Narra; Zhifeng Lin; Ganesh Ananthanarayanan; Salman Avestimehr; Murali Annavaram (CoRR, 2019)

Train Where the Data is: A Case for Bandwidth Efficient Coded Training. - Zhifeng Lin; Krishna Giri Narra; Mingchao Yu; Salman Avestimehr; Murali Annavaram (CoRR, 2019)

Privacy-Preserving Inference in Machine Learning Services Using Trusted Execution Environments. - Krishna Giri Narra; Zhifeng Lin; Yongqin Wang; Keshav Balasubramaniam; Murali Annavaram (CoRR, 2019)

Efficient automatic parallelization of a single GPU program for a multiple GPU system. - Kiran Kumar Matam; Mohammad Abdel-Majeed; Murali Annavaram (Integr., 2019)

An Efficient GPU Cache Architecture for Applications with Irregular Memory Access Patterns. - Bingchao Li; Jizeng Wei; Jizhou Sun; Murali Annavaram; Nam Sung Kim (ACM Trans. Archit. Code Optim., 2019)

Adaptive Cooperation of Prefetching and Warp Scheduling on GPUs. - Yunho Oh; Keunsoo Kim; Myung Kuk Yoon; Jong Hyun Park; Yongjun Park 001; Murali Annavaram; Won Woo Ro (IEEE Trans. Computers, 2019)

Collage Inference: Using Coded Redundancy for Lowering Latency Variation in Distributed Image Classification Systems. - Hema Venkata Krishna Giri Narra; Zhifeng Lin; Ganesh Ananthanarayanan; Salman Avestimehr; Murali Annavaram (ICDCS, 2020)

Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge. - Chaoyang He 001; Murali Annavaram; Salman Avestimehr (NeurIPS, 2020)

FedNAS: Federated Deep Learning via Neural Architecture Search. - Chaoyang He 001; Murali Annavaram; Salman Avestimehr (CoRR, 2020)

DarKnight: A Data Privacy Scheme for Training and Inference of Deep Neural Networks. - Hanieh Hashemi; Yongqin Wang; Murali Annavaram (CoRR, 2020)

FedML: A Research Library and Benchmark for Federated Machine Learning. - Chaoyang He 001; Songze Li; Jinhyun So; Mi Zhang 002; Hongyi Wang 001; Xiaoyang Wang; Praneeth Vepakomma; Abhishek Singh 005; Hang Qiu 001; Li Shen 005; Peilin Zhao; Yan Kang 001; et al. (CoRR, 2020)

Group Knowledge Transfer: Collaborative Training of Large CNNs on the Edge. - Chaoyang He 001; Murali Annavaram; Salman Avestimehr (CoRR, 2020)

Check-N-Run: A Checkpointing System for Training Recommendation Models. - Assaf Eisenman; Kiran Kumar Matam; Steven Ingram; Dheevatsa Mudigere; Raghuraman Krishnamoorthi; Murali Annavaram; Krishnakumar Nair; Misha Smelyanskiy (CoRR, 2020)

Distributed Training of Graph Convolutional Networks using Subgraph Approximation. - Alexandra Angerd; Keshav Balasubramanian; Murali Annavaram (CoRR, 2020)

Origami Inference: Private Inference Using Hardware Enclaves. - Krishna Giri Narra; Zhifeng Lin; Yongqin Wang; Keshav Balasubramanian; Murali Annavaram (CLOUD, 2021)

MultiLogVC: Efficient Out-of-Core Graph Processing Framework for Flash Storage. - Kiran Kumar Matam; Hanieh Hashemi; Murali Annavaram (IPDPS, 2021)

DarKnight: An Accelerated Framework for Privacy and Integrity Preserving Deep Learning Using Trusted Hardware. - Hanieh Hashemi; Yongqin Wang; Murali Annavaram (MICRO, 2021)

Tactical Jupiter: Dynamic Scheduling of Dispersed Computations in Tactical MANETs. - Alexander Poylisher; Andrzej Cichocki; Katherine Guo; James Hunziker; Latha A. Kant; Bhaskar Krishnamachari; Salman Avestimehr; Murali Annavaram (MILCOM, 2021)

cDLRM: Look Ahead Caching for Scalable Training of Recommendation Models. - Keshav Balasubramanian; Abdulla Alshabanah; Joshua D. Choe; Murali Annavaram (RecSys, 2021)

Jupiter: a networked computing architecture. - Pradipta Ghosh; Quynh Nguyen 002; Pranav K. Sakulkar; Jason A. Tran; Aleksandra Knezevic; Jiatong Wang; Zhifeng Lin; Bhaskar Krishnamachari; Murali Annavaram; Salman Avestimehr (UCC Companion, 2021)

FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks. - Chaoyang He 001; Keshav Balasubramanian; Emir Ceyani; Yu Rong 001; Peilin Zhao; Junzhou Huang; Murali Annavaram; Salman Avestimehr (CoRR, 2021)

Privacy and Integrity Preserving Training Using Trusted Hardware. - Hanieh Hashemi; Yongqin Wang; Murali Annavaram (CoRR, 2021)

Byzantine-Robust and Privacy-Preserving Framework for FedML. - Hanieh Hashemi; Yongqin Wang; Chuan Guo 001; Murali Annavaram (CoRR, 2021)

SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks. - Chaoyang He 001; Emir Ceyani; Keshav Balasubramanian; Murali Annavaram; Salman Avestimehr (CoRR, 2021)

Look Ahead ORAM: Obfuscating Addresses in Recommendation Model Training. - Rachit Rajat; Yongqin Wang; Murali Annavaram (CoRR, 2021)

Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning. - Tingting Tang; Ramy E. Ali; Hanieh Hashemi; Tynan Gangwani; Salman Avestimehr; Murali Annavaram (CoRR, 2021)

Attribute Inference Attack of Speech Emotion Recognition in Federated Learning Settings. - Tiantian Feng; Hanieh Hashemi; Rajat Hebbar; Murali Annavaram; Shrikanth S. Narayanan (CoRR, 2021)

SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data. - Chaoyang He 001; Emir Ceyani; Keshav Balasubramanian; Murali Annavaram; Salman Avestimehr (AAAI, 2022)

HiPerRF: A Dual-Bit Dense Storage SFQ Register File. - Haipeng Zha 001; Naveen Kumar Katam; Massoud Pedram; Murali Annavaram (HPCA, 2022)

Enhancing Privacy Through Domain Adaptive Noise Injection For Speech Emotion Recognition. - Tiantian Feng; Hanieh Hashemi; Murali Annavaram; Shrikanth S. Narayanan (ICASSP, 2022)

Adaptive Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning. - Tingting Tang; Ramy E. Ali; Hanieh Hashemi; Tynan Gangwani; Salman Avestimehr; Murali Annavaram (IPDPS, 2022)

Characterization of MPC-based Private Inference for Transformer-based Models. - Yongqin Wang; G. Edward Suh; Wenjie Xiong 001; Benjamin Lefaudeux; Brian Knott; Murali Annavaram; Hsien-Hsin S. Lee (ISPASS, 2022)

PageORAM: An Efficient DRAM Page Aware ORAM Strategy. - Rachit Rajat; Yongqin Wang; Murali Annavaram (MICRO, 2022)

StATIK: Structure and Text for Inductive Knowledge Graph Completion. - Elan Markowitz; Keshav Balasubramanian; Mehrnoosh Mirtaheri; Murali Annavaram; Aram Galstyan; Greg Ver Steeg (NAACL-HLT (Findings), 2022)

Check-N-Run: a Checkpointing System for Training Deep Learning Recommendation Models. - Assaf Eisenman; Kiran Kumar Matam; Steven Ingram; Dheevatsa Mudigere; Raghuraman Krishnamoorthi; Krishnakumar Nair; Misha Smelyanskiy; Murali Annavaram (NSDI, 2022)

MPC-Pipe: an Efficient Pipeline Scheme for Secure Multi-party Machine Learning Inference. - Yongqin Wang; Rachit Rajat; Murali Annavaram (CoRR, 2022)

Data Leakage via Access Patterns of Sparse Features in Deep Learning-based Recommendation Systems. - Hanieh Hashemi; Wenjie Xiong 001; Liu Ke 001; Kiwan Maeng; Murali Annavaram; G. Edward Suh; Hsien-Hsin S. Lee (CoRR, 2022)

LAORAM: A Look Ahead ORAM Architecture for Training Large Embedding Tables. - Rachit Rajat; Yongqin Wang; Murali Annavaram (ISCA, 2023)

SuperBP: Design Space Exploration of Perceptron-Based Branch Predictors for Superconducting CPUs. - Haipeng Zha 001; Swamit Tannu; Murali Annavaram (MICRO, 2023)

Experimental Demonstration of Reconfigurable "Digital Average" of Two 20-Gbaud Phase-Encoded Data Channels Using Nonlinear Optical Wave Mixing. - Amir Minoofar; Hao Song 006; Ahmed Almaiman; Narek Karapetyan; Wing Ko; Kaiheng Zou; Huibin Zhou; Muralekrishnan Ramakrishnan; Murali Annavaram; Jonathan L. Habif; Moshe Tur; Alan E. Willner (OFC, 2023)

CompactTag: Minimizing Computation Overheads in Actively-Secure MPC for Deep Neural Networks. - Yongqin Wang; Pratik Sarkar; Nishat Koti; Arpita Patra; Murali Annavaram (IACR Cryptol. ePrint Arch., 2023)

FLIXR: Embedding Index Into Flash Translation Layer in SSDs. - Gunjae Koo; Yunho Oh; Hung-Wei Tseng 001; Won Woo Ro; Murali Annavaram (IEEE Trans. Computers, 2023)

Differentially Private Knowledge Distillation via Synthetic Text Generation. - James Flemings; Murali Annavaram (ACL (Findings), 2024)

MPC-Pipe: an Efficient Pipeline Scheme for Semi-honest MPC Machine Learning. - Yongqin Wang; Rachit Rajat; Murali Annavaram (ASPLOS (4), 2024)

Differentially Private Next-Token Prediction of Large Language Models. - James Flemings; Meisam Razaviyayn; Murali Annavaram (NAACL-HLT, 2024)

Ethos: Rectifying Language Models in Orthogonal Parameter Space. - Lei Gao; Yue Niu; Tingting Tang; Salman Avestimehr; Murali Annavaram (NAACL-HLT (Findings), 2024)

Biased User History Synthesis for Personalized Long-Tail Item Recommendation. - Keshav Balasubramanian; Abdulla Alshabanah; Elan Markowitz; Greg Ver Steeg; Murali Annavaram (RecSys, 2024)

CADC: Encoding User-Item Interactions for Compressing Recommendation Model Training Data. - Hossein Entezari Zarch; Abdulla Alshabanah; Chaoyi Jiang; Murali Annavaram (CoRR, 2024)

Enabling Resource-Efficient On-Device Fine-Tuning of LLMs Using Only Inference Engines. - Lei Gao; Amir Ziashahabi; Yue Niu; Salman Avestimehr; Murali Annavaram (CoRR, 2024)

Adaptively Private Next-Token Prediction of Large Language Models. - James Flemings; Meisam Razaviyayn; Murali Annavaram (CoRR, 2024)

Characterizing Context Influence and Hallucination in Summarization. - James Flemings; Wanrong Zhang 003; Bo Jiang; Zafar Takhirov; Murali Annavaram (CoRR, 2024)

Fastrack: Fast IO for Secure ML using GPU TEEs. - Yongqin Wang; Rachit Rajat; Jonghyun Lee; Tingting Tang; Murali Annavaram (CoRR, 2024)

Efficient LLM Inference with I/O-Aware Partial KV Cache Recomputation. - Chaoyi Jiang; Lei Gao; Hossein Entezari Zarch; Murali Annavaram (CoRR, 2024)

PIGEON: A Framework for Private Inference of Neural Networks. - Christopher Harth-Kitzerow; Yongqin Wang; Rachit Rajat; Georg Carle; Murali Annavaram (IACR Cryptol. ePrint Arch., 2024)

Edge Private Graph Neural Networks with Singular Value Perturbation. - Tingting Tang; Yue Niu; Salman Avestimehr; Murali Annavaram (Proc. Priv. Enhancing Technol., 2024)

An efficient sequential consistency implementation with dynamic race detection for GPUs. - Abdulaziz Tabbakh; Murali Annavaram (J. Parallel Distributed Comput., 2024)

Cross-core Data Sharing for Energy-efficient GPUs. - Hajar Falahati; Mohammad Sadrosadati; Qiumin Xu; Juan Gómez-Luna; Banafsheh Saber Latibari; Hyeran Jeon; Shaahin Hessabi; Hamid Sarbazi-Azad; Onur Mutlu; Murali Annavaram; Massoud Pedram (ACM Trans. Archit. Code Optim., 2024)

Estimating Privacy Leakage of Augmented Contextual Knowledge in Language Models. - James Flemings; Bo Jiang; Wanrong Zhang 003; Zafar Takhirov; Murali Annavaram (ACL (1), 2025)

KVPR: Efficient LLM Inference with I/O-Aware KV Cache Partial Recomputation. - Chaoyi Jiang; Lei Gao; Hossein Entezari Zarch; Murali Annavaram (ACL (Findings), 2025)

On Using Arabic Language Dialects in Recommendation Systems. - Abdulla Alshabanah; Murali Annavaram (NAACL (Findings), 2025)

HyCache: Hybrid Caching for Accelerating DNN Input Preprocessing Pipelines. - Keshav Vinayak Jha; Shweta Pandey; Murali Annavaram; Arkaprava Basu (USENIX ATC, 2025)

Meta-Learn to Unlearn: Enhanced Exact Machine Unlearning in Recommendation Systems with Meta-Learning. - Abdulla Alshabanah; Keshav Balasubramanian; Murali Annavaram (Proc. Priv. Enhancing Technol., 2025)

High-Throughput Secure Multiparty Computation with an Honest Majority in Various Network Settings. - Christopher Harth-Kitzerow; Ajith Suresh; Yongqin Wang; Hossein Yalame; Georg Carle; Murali Annavaram (Proc. Priv. Enhancing Technol., 2025)

PIGEON: A High Throughput Framework for Private Inference of Neural Networks using Secure Multiparty Computation. - Christopher Harth-Kitzerow; Yongqin Wang; Rachit Rajat; Georg Carle; Murali Annavaram (Proc. Priv. Enhancing Technol., 2025)

Characterization of GPU TEE Overheads in Distributed Data Parallel ML Training. - Jonghytun Lee; Yongqin Wang; Rachit Rajat; Murali Annavaram (CoRR, 2025)

Differentially Private In-context Learning via Sampling Few-shot Mixed with Zero-shot Outputs. - James Flemings; Haosheng Gan; Hongyi Li; Meisam Razaviyayn; Murali Annavaram (CoRR, 2025)

DEL: Context-Aware Dynamic Exit Layer for Efficient Self-Speculative Decoding. - Hossein Entezari Zarch; Lei Gao; Chaoyi Jiang; Murali Annavaram (CoRR, 2025)

MARché: Fast Masked Autoregressive Image Generation with Cache-Aware Attention. - Chaoyi Jiang; Sungwoo Kim 003; Lei Gao; Hossein Entezari Zarch; Won Woo Ro; Murali Annavaram (CoRR, 2025)

Memory-Efficient Differentially Private Training with Gradient Random Projection. - Alex Mulrooney; Devansh Gupta; James Flemings; Huanyu Zhang; Murali Annavaram; Meisam Razaviyayn; Xinwei Zhang (CoRR, 2025)