Murali Annavaram

179 papers A* 41A 25B 8C 1Misc 3Journal 72Unranked 28

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Differentially Private Retrieval-Augmented Generation. CoRR Tingting Tang, James Flemings, Yongqin Wang, Murali Annavaram
2026	J	`jnl`	Infrastructure for Valuable, Tradable, and Verifiable Agent Memory. CoRR Mengyuan Li, Lei Gao, Haoxuan Xu, Jiate Li, Potung Yu, Lingke Cheng, Yue Zhao, Murali Annavaram
2026	J	`jnl`	LRD-MPC: Efficient MPC Inference through Low-rank Decomposition. CoRR Tingting Tang, Yongqin Wang, Murali Annavaram
2026	A	`conf`	SAGERec: Sampling and Gating for Enhanced Long-Tail Item Recommendations. WSDM Abdulla Alshabanah, Yuxin Yang, Murali Annavaram
2025	J	`jnl`	Characterization of GPU TEE Overheads in Distributed Data Parallel ML Training. CoRR Jonghytun Lee, Yongqin Wang, Rachit Rajat, Murali Annavaram
2025	J	`jnl`	DEL: Context-Aware Dynamic Exit Layer for Efficient Self-Speculative Decoding. CoRR Hossein Entezari Zarch, Lei Gao, Chaoyi Jiang, Murali Annavaram
2025	J	`jnl`	Differentially Private In-context Learning via Sampling Few-shot Mixed with Zero-shot Outputs. CoRR James Flemings, Haosheng Gan, Hongyi Li, Meisam Razaviyayn, Murali Annavaram
2025	J	`jnl`	DistilLock: Safeguarding LLMs from Unauthorized Knowledge Distillation on the Edge. CoRR Asmita Mohanty, Gezheng Kang, Lei Gao, Murali Annavaram
2025	J	`jnl`	DuetServe: Harmonizing Prefill and Decode for LLM Serving via Adaptive GPU Multiplexing. CoRR Lei Gao, Chaoyi Jiang, Hossein Entezari Zarch, Daniel Wong, Murali Annavaram
2025	—	`conf`	Estimating Privacy Leakage of Augmented Contextual Knowledge in Language Models. ACL (1) James Flemings, Bo Jiang, Wanrong Zhang, Zafar Takhirov, Murali Annavaram
2025	J	`jnl`	High-Throughput Secure Multiparty Computation with an Honest Majority in Various Network Settings. Proc. Priv. Enhancing Technol. Christopher Harth-Kitzerow, Ajith Suresh, Yongqin Wang, Hossein Yalame, Georg Carle, Murali Annavaram
2025	—	`conf`	HyCache: Hybrid Caching for Accelerating DNN Input Preprocessing Pipelines. USENIX ATC Keshav Vinayak Jha, Shweta Pandey, Murali Annavaram, Arkaprava Basu
2025	—	`conf`	KVPR: Efficient LLM Inference with I/O-Aware KV Cache Partial Recomputation. ACL (Findings) Chaoyi Jiang, Lei Gao, Hossein Entezari Zarch, Murali Annavaram
2025	A	`conf`	LEAF: Lightweight, Efficient, Adaptive and Flexible Embedding for Large-Scale Recommendation Models. RecSys Chaoyi Jiang, Abdulla Alshabanah, Murali Annavaram
2025	J	`jnl`	MARché: Fast Masked Autoregressive Image Generation with Cache-Aware Attention. CoRR Chaoyi Jiang, Sungwoo Kim, Lei Gao, Hossein Entezari Zarch, Won Woo Ro, Murali Annavaram
2025	J	`jnl`	Memory-Efficient Differentially Private Training with Gradient Random Projection. CoRR Alex Mulrooney, Devansh Gupta, James Flemings, Huanyu Zhang, Murali Annavaram, Meisam Razaviyayn, Xinwei Zhang
2025	J	`jnl`	Meta-Learn to Unlearn: Enhanced Exact Machine Unlearning in Recommendation Systems with Meta-Learning. Proc. Priv. Enhancing Technol. Abdulla Alshabanah, Keshav Balasubramanian, Murali Annavaram
2025	—	`conf`	Mind the Dialect: NLP Advancements Uncover Fairness Disparities for Arabic Users in Recommendation Systems. EMNLP (Findings) Abdulla Alshabanah, Murali Annavaram
2025	A*	`conf`	MobiZO: Enabling Efficient LLM Fine-Tuning at the Edge via Inference Engines. EMNLP Lei Gao, Amir Ziashahabi, Yue Niu, Salman Avestimehr, Murali Annavaram
2025	—	`conf`	On Using Arabic Language Dialects in Recommendation Systems. NAACL (Findings) Abdulla Alshabanah, Murali Annavaram
2025	J	`jnl`	PIGEON: A High Throughput Framework for Private Inference of Neural Networks using Secure Multiparty Computation. Proc. Priv. Enhancing Technol. Christopher Harth-Kitzerow, Yongqin Wang, Rachit Rajat, Georg Carle, Murali Annavaram
2025	J	`jnl`	Personalizing Agent Privacy Decisions via Logical Entailment. CoRR James Flemings, Ren Yi, Octavian Suciu, Kassem Fawaz, Murali Annavaram, Marco Gruteser
2025	J	`jnl`	Striking the Right Balance between Compute and Copy: Improving LLM Inferencing Under Speculative Decoding. CoRR Arun Ramachandran, Ramaswamy Govindarajan, Murali Annavaram, Prakash Sathyanath Raghavendra, Hossein Entezari Zarch, Lei Gao, Chaoyi Jiang
2024	J	`jnl`	Adaptively Private Next-Token Prediction of Large Language Models. CoRR James Flemings, Meisam Razaviyayn, Murali Annavaram
2024	J	`jnl`	An efficient sequential consistency implementation with dynamic race detection for GPUs. J. Parallel Distributed Comput. Abdulaziz Tabbakh, Murali Annavaram
2024	A	`conf`	Biased User History Synthesis for Personalized Long-Tail Item Recommendation. RecSys Keshav Balasubramanian, Abdulla Alshabanah, Elan Markowitz, Greg Ver Steeg, Murali Annavaram
2024	J	`jnl`	CADC: Encoding User-Item Interactions for Compressing Recommendation Model Training Data. CoRR Hossein Entezari Zarch, Abdulla Alshabanah, Chaoyi Jiang, Murali Annavaram
2024	J	`jnl`	Characterizing Context Influence and Hallucination in Summarization. CoRR James Flemings, Wanrong Zhang, Bo Jiang, Zafar Takhirov, Murali Annavaram
2024	J	`jnl`	Cross-core Data Sharing for Energy-efficient GPUs. ACM Trans. Archit. Code Optim. 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
2024	—	`conf`	Differentially Private Knowledge Distillation via Synthetic Text Generation. ACL (Findings) James Flemings, Murali Annavaram
2024	J	`jnl`	Differentially Private Knowledge Distillation via Synthetic Text Generation. CoRR James Flemings, Murali Annavaram
2024	—	`conf`	Differentially Private Next-Token Prediction of Large Language Models. NAACL-HLT James Flemings, Meisam Razaviyayn, Murali Annavaram
2024	J	`jnl`	Differentially Private Next-Token Prediction of Large Language Models. CoRR James Flemings, Meisam Razaviyayn, Murali Annavaram
2024	J	`jnl`	Edge Private Graph Neural Networks with Singular Value Perturbation. CoRR Tingting Tang, Yue Niu, Salman Avestimehr, Murali Annavaram
2024	J	`jnl`	Edge Private Graph Neural Networks with Singular Value Perturbation. Proc. Priv. Enhancing Technol. Tingting Tang, Yue Niu, Salman Avestimehr, Murali Annavaram
2024	J	`jnl`	Efficient LLM Inference with I/O-Aware Partial KV Cache Recomputation. CoRR Chaoyi Jiang, Lei Gao, Hossein Entezari Zarch, Murali Annavaram
2024	J	`jnl`	Enabling Resource-Efficient On-Device Fine-Tuning of LLMs Using Only Inference Engines. CoRR Lei Gao, Amir Ziashahabi, Yue Niu, Salman Avestimehr, Murali Annavaram
2024	—	`conf`	Ethos: Rectifying Language Models in Orthogonal Parameter Space. NAACL-HLT (Findings) Lei Gao, Yue Niu, Tingting Tang, Salman Avestimehr, Murali Annavaram
2024	J	`jnl`	Ethos: Rectifying Language Models in Orthogonal Parameter Space. CoRR Lei Gao, Yue Niu, Tingting Tang, Salman Avestimehr, Murali Annavaram
2024	J	`jnl`	Fastrack: Fast IO for Secure ML using GPU TEEs. CoRR Yongqin Wang, Rachit Rajat, Jonghyun Lee, Tingting Tang, Murali Annavaram
2024	—	`conf`	MPC-Pipe: an Efficient Pipeline Scheme for Semi-honest MPC Machine Learning. ASPLOS (4) Yongqin Wang, Rachit Rajat, Murali Annavaram
2024	J	`jnl`	PIGEON: A Framework for Private Inference of Neural Networks. IACR Cryptol. ePrint Arch. Christopher Harth-Kitzerow, Yongqin Wang, Rachit Rajat, Georg Carle, Murali Annavaram
2024	A	`ed.`	Proceedings of the 38th ACM International Conference on Supercomputing, ICS 2024, Kyoto, Japan, June 4-7, 2024 ICS Kenji Kise, Valentina Salapura, Murali Annavaram, Ana Lucia Varbanescu
2023	J	`jnl`	CompactTag: Minimizing Computation Overheads in Actively-Secure MPC for Deep Neural Networks. CoRR Yongqin Wang, Pratik Sarkar, Nishat Koti, Arpita Patra, Murali Annavaram
2023	J	`jnl`	CompactTag: Minimizing Computation Overheads in Actively-Secure MPC for Deep Neural Networks. IACR Cryptol. ePrint Arch. Yongqin Wang, Pratik Sarkar, Nishat Koti, Arpita Patra, Murali Annavaram
2023	—	`conf`	Experimental Demonstration of Reconfigurable "Digital Average" of Two 20-Gbaud Phase-Encoded Data Channels Using Nonlinear Optical Wave Mixing. OFC Amir Minoofar, Hao Song, Ahmed Almaiman, Narek Karapetyan, Wing Ko, Kaiheng Zou, Huibin Zhou, Muralekrishnan Ramakrishnan, Murali Annavaram, Jonathan L. Habif, Moshe Tur, Alan E. Willner
2023	J	`jnl`	FLIXR: Embedding Index Into Flash Translation Layer in SSDs. IEEE Trans. Computers Gunjae Koo, Yunho Oh, Hung-Wei Tseng, Won Woo Ro, Murali Annavaram
2023	A*	`conf`	LAORAM: A Look Ahead ORAM Architecture for Training Large Embedding Tables. ISCA Rachit Rajat, Yongqin Wang, Murali Annavaram
2023	A*	`conf`	SuperBP: Design Space Exploration of Perceptron-Based Branch Predictors for Superconducting CPUs. MICRO Haipeng Zha, Swamit Tannu, Murali Annavaram
2022	A	`conf`	Adaptive Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning. IPDPS Tingting Tang, Ramy E. Ali, Hanieh Hashemi, Tynan Gangwani, Salman Avestimehr, Murali Annavaram
2022	B	`conf`	Characterization of MPC-based Private Inference for Transformer-based Models. ISPASS Yongqin Wang, G. Edward Suh, Wenjie Xiong, Benjamin Lefaudeux, Brian Knott, Murali Annavaram, Hsien-Hsin S. Lee
2022	Misc	`conf`	Check-N-Run: a Checkpointing System for Training Deep Learning Recommendation Models. NSDI Assaf Eisenman, Kiran Kumar Matam, Steven Ingram, Dheevatsa Mudigere, Raghuraman Krishnamoorthi, Krishnakumar Nair, Misha Smelyanskiy, Murali Annavaram
2022	J	`jnl`	DarKnight: An Accelerated Framework for Privacy and Integrity Preserving Deep Learning Using Trusted Hardware. CoRR Hanieh Hashemi, Yongqin Wang, Murali Annavaram
2022	J	`jnl`	Data Leakage via Access Patterns of Sparse Features in Deep Learning-based Recommendation Systems. CoRR Hanieh Hashemi, Wenjie Xiong, Liu Ke, Kiwan Maeng, Murali Annavaram, G. Edward Suh, Hsien-Hsin S. Lee
2022	Misc	`conf`	Enhancing Privacy Through Domain Adaptive Noise Injection For Speech Emotion Recognition. ICASSP Tiantian Feng, Hanieh Hashemi, Murali Annavaram, Shrikanth S. Narayanan
2022	A*	`conf`	HiPerRF: A Dual-Bit Dense Storage SFQ Register File. HPCA Haipeng Zha, Naveen Kumar Katam, Massoud Pedram, Murali Annavaram
2022	J	`jnl`	MPC-Pipe: an Efficient Pipeline Scheme for Secure Multi-party Machine Learning Inference. CoRR Yongqin Wang, Rachit Rajat, Murali Annavaram
2022	A*	`conf`	PageORAM: An Efficient DRAM Page Aware ORAM Strategy. MICRO Rachit Rajat, Yongqin Wang, Murali Annavaram
2022	A*	`conf`	SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data. AAAI Chaoyang He, Emir Ceyani, Keshav Balasubramanian, Murali Annavaram, Salman Avestimehr
2022	—	`conf`	StATIK: Structure and Text for Inductive Knowledge Graph Completion. NAACL-HLT (Findings) Elan Markowitz, Keshav Balasubramanian, Mehrnoosh Mirtaheri, Murali Annavaram, Aram Galstyan, Greg Ver Steeg
2021	J	`jnl`	Attribute Inference Attack of Speech Emotion Recognition in Federated Learning Settings. CoRR Tiantian Feng, Hanieh Hashemi, Rajat Hebbar, Murali Annavaram, Shrikanth S. Narayanan
2021	J	`jnl`	Byzantine-Robust and Privacy-Preserving Framework for FedML. CoRR Hanieh Hashemi, Yongqin Wang, Chuan Guo, Murali Annavaram
2021	A*	`conf`	DarKnight: An Accelerated Framework for Privacy and Integrity Preserving Deep Learning Using Trusted Hardware. MICRO Hanieh Hashemi, Yongqin Wang, Murali Annavaram
2021	J	`jnl`	FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks. CoRR Chaoyang He, Keshav Balasubramanian, Emir Ceyani, Yu Rong, Peilin Zhao, Junzhou Huang, Murali Annavaram, Salman Avestimehr
2021	—	`conf`	Jupiter: a networked computing architecture. UCC Companion Pradipta Ghosh, Quynh Nguyen, Pranav K. Sakulkar, Jason A. Tran, Aleksandra Knezevic, Jiatong Wang, Zhifeng Lin, Bhaskar Krishnamachari, Murali Annavaram, Salman Avestimehr
2021	J	`jnl`	Look Ahead ORAM: Obfuscating Addresses in Recommendation Model Training. CoRR Rachit Rajat, Yongqin Wang, Murali Annavaram
2021	A	`conf`	MultiLogVC: Efficient Out-of-Core Graph Processing Framework for Flash Storage. IPDPS Kiran Kumar Matam, Hanieh Hashemi, Murali Annavaram
2021	B	`conf`	Origami Inference: Private Inference Using Hardware Enclaves. CLOUD Krishna Giri Narra, Zhifeng Lin, Yongqin Wang, Keshav Balasubramanian, Murali Annavaram
2021	J	`jnl`	Privacy and Integrity Preserving Training Using Trusted Hardware. CoRR Hanieh Hashemi, Yongqin Wang, Murali Annavaram
2021	J	`jnl`	SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks. CoRR Chaoyang He, Emir Ceyani, Keshav Balasubramanian, Murali Annavaram, Salman Avestimehr
2021	—	`conf`	Tactical Jupiter: Dynamic Scheduling of Dispersed Computations in Tactical MANETs. MILCOM Alexander Poylisher, Andrzej Cichocki, Katherine Guo, James Hunziker, Latha A. Kant, Bhaskar Krishnamachari, Salman Avestimehr, Murali Annavaram
2021	J	`jnl`	Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning. CoRR Tingting Tang, Ramy E. Ali, Hanieh Hashemi, Tynan Gangwani, Salman Avestimehr, Murali Annavaram
2021	A	`conf`	cDLRM: Look Ahead Caching for Scalable Training of Recommendation Models. RecSys Keshav Balasubramanian, Abdulla Alshabanah, Joshua D. Choe, Murali Annavaram
2020	J	`jnl`	Check-N-Run: A Checkpointing System for Training Recommendation Models. CoRR Assaf Eisenman, Kiran Kumar Matam, Steven Ingram, Dheevatsa Mudigere, Raghuraman Krishnamoorthi, Murali Annavaram, Krishnakumar Nair, Misha Smelyanskiy
2020	A	`conf`	Collage Inference: Using Coded Redundancy for Lowering Latency Variation in Distributed Image Classification Systems. ICDCS Hema Venkata Krishna Giri Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram
2020	J	`jnl`	DarKnight: A Data Privacy Scheme for Training and Inference of Deep Neural Networks. CoRR Hanieh Hashemi, Yongqin Wang, Murali Annavaram
2020	J	`jnl`	Distributed Training of Graph Convolutional Networks using Subgraph Approximation. CoRR Alexandra Angerd, Keshav Balasubramanian, Murali Annavaram
2020	J	`jnl`	FedML: A Research Library and Benchmark for Federated Machine Learning. CoRR Chaoyang He, Songze Li, Jinhyun So, Mi Zhang, Hongyi Wang, Xiaoyang Wang, Praneeth Vepakomma, Abhishek Singh, Hang Qiu, Li Shen, Peilin Zhao, Yan Kang, Yang Liu, Ramesh Raskar, Qiang Yang, Murali Annavaram, Salman Avestimehr
2020	J	`jnl`	FedNAS: Federated Deep Learning via Neural Architecture Search. CoRR Chaoyang He, Murali Annavaram, Salman Avestimehr
2020	J	`jnl`	Group Knowledge Transfer: Collaborative Training of Large CNNs on the Edge. CoRR Chaoyang He, Murali Annavaram, Salman Avestimehr
2020	A*	`conf`	Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge. NeurIPS Chaoyang He, Murali Annavaram, Salman Avestimehr
2019	J	`jnl`	Adaptive Cooperation of Prefetching and Warp Scheduling on GPUs. IEEE Trans. Computers Yunho Oh, Keunsoo Kim, Myung Kuk Yoon, Jong Hyun Park, Yongjun Park, Murali Annavaram, Won Woo Ro
2019	J	`jnl`	An Efficient GPU Cache Architecture for Applications with Irregular Memory Access Patterns. ACM Trans. Archit. Code Optim. Bingchao Li, Jizeng Wei, Jizhou Sun, Murali Annavaram, Nam Sung Kim
2019	J	`jnl`	Collage Inference: Achieving low tail latency during distributed image classification using coded redundancy models. CoRR Krishna Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram
2019	J	`jnl`	Collage Inference: Tolerating Stragglers in Distributed Neural Network Inference using Coding. CoRR Krishna Giri Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram
2019	J	`jnl`	Distributed Matrix Multiplication Using Speed Adaptive Coding. CoRR Krishna Narra, Zhifeng Lin, Mehrdad Kiamari, Salman Avestimehr, Murali Annavaram
2019	J	`jnl`	Efficient automatic parallelization of a single GPU program for a multiple GPU system. Integr. Kiran Kumar Matam, Mohammad Abdel-Majeed, Murali Annavaram
2019	A	`conf`	GPUGuard: mitigating contention based side and covert channel attacks on GPUs. ICS Qiumin Xu, Hoda Naghibijouybari, Shibo Wang, Nael B. Abu-Ghazaleh, Murali Annavaram
2019	A*	`conf`	GraphSSD: graph semantics aware SSD. ISCA Kiran Kumar Matam, Gunjae Koo, Haipeng Zha, Hung-Wei Tseng, Murali Annavaram
2019	J	`jnl`	Jupiter: A Networked Computing Architecture. CoRR Pradipta Ghosh, Quynh Nguyen, Pranav K. Sakulkar, Aleksandra Knezevic, Jason A. Tran, Jiatong Wang, Zhifeng Lin, Bhaskar Krishnamachari, Murali Annavaram, Salman Avestimehr
2019	A*	`conf`	Linebacker: preserving victim cache lines in idle register files of GPUs. ISCA Yunho Oh, Gunjae Koo, Murali Annavaram, Won Woo Ro
2019	J	`jnl`	PartitionedVC: Partitioned External Memory Graph Analytics Framework for SSDs. CoRR Kiran Kumar Matam, Hanieh Hashemi, Murali Annavaram
2019	J	`jnl`	Privacy-Preserving Inference in Machine Learning Services Using Trusted Execution Environments. CoRR Krishna Giri Narra, Zhifeng Lin, Yongqin Wang, Keshav Balasubramaniam, Murali Annavaram
2019	A	`conf`	Slack squeeze coded computing for adaptive straggler mitigation. SC Krishna Giri Narra, Zhifeng Lin, Mehrdad Kiamari, Salman Avestimehr, Murali Annavaram
2019	J	`jnl`	Train Where the Data is: A Case for Bandwidth Efficient Coded Training. CoRR Zhifeng Lin, Krishna Giri Narra, Mingchao Yu, Salman Avestimehr, Murali Annavaram
2018	A*	`ed.`	45th ACM/IEEE Annual International Symposium on Computer Architecture, ISCA 2018, Los Angeles, CA, USA, June 1-6, 2018 ISCA Murali Annavaram, Timothy Mark Pinkston, Babak Falsafi
2018	A	`conf`	CTA-Aware Prefetching and Scheduling for GPU. IPDPS Gunjae Koo, Hyeran Jeon, Zhenhong Liu, Nam Sung Kim, Murali Annavaram
2018	A*	`conf`	G-TSC: Timestamp Based Coherence for GPUs. HPCA Abdulaziz Tabbakh, Xuehai Qian, Murali Annavaram
2018	A*	`conf`	GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training. NeurIPS Mingchao Yu, Zhifeng Lin, Krishna Narra, Songze Li, Youjie Li, Nam Sung Kim, Alexander G. Schwing, Murali Annavaram, Salman Avestimehr
2018	J	`jnl`	GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training. CoRR Mingchao Yu, Zhifeng Lin, Krishna Narra, Songze Li, Youjie Li, Nam Sung Kim, Alexander G. Schwing, Murali Annavaram, Salman Avestimehr
2017	A*	`conf`	Access Pattern-Aware Cache Management for Improving Data Utilization in GPU. ISCA Gunjae Koo, Yunho Oh, Won Woo Ro, Murali Annavaram
2017	Misc	`conf`	CIRCE - a runtime scheduler for DAG-based dispersed computing: demo. SEC Aleksandra Knezevic, Quynh Nguyen, Jason A. Tran, Pradipta Ghosh, Pranav Sakulkar, Bhaskar Krishnamachari, Murali Annavaram
2017	B	`conf`	Docker characterization on high performance SSDs. ISPASS Qiumin Xu, Manu Awasthi, Krishna T. Malladi, Janki Bhimani, Jingpei Yang, Murali Annavaram
2017	A	`conf`	Elastic-Cache: GPU Cache Architecture for Efficient Fine- and Coarse-Grained Cache-Line Management. IPDPS Bingchao Li, Jizhou Sun, Murali Annavaram, Nam Sung Kim
2017	A*	`conf`	G-Scalar: Cost-Effective Generalized Scalar Execution Architecture for Power-Efficient GPUs. HPCA Zhenhong Liu, Syed Zohaib Gilani, Murali Annavaram, Nam Sung Kim
2017	J	`jnl`	Improving Energy Efficiency of GPUs through Data Compression and Compressed Execution. IEEE Trans. Computers Sangpil Lee, Keunsoo Kim, Gunjae Koo, Hyeran Jeon, Murali Annavaram, Won Woo Ro
2017	A*	`conf`	Pilot Register File: Energy Efficient Partitioned Register File for GPUs. HPCA Mohammad Abdel-Majeed, Alireza Shafaei, Hyeran Jeon, Massoud Pedram, Murali Annavaram
2017	A	`conf`	Power Efficient Sharing-Aware GPU Data Management. IPDPS Abdulaziz Tabbakh, Murali Annavaram, Xuehai Qian
2017	A*	`conf`	Summarizer: trading communication with computing near storage. MICRO Gunjae Koo, Kiran Kumar Matam, Te I, H. V. Krishna Giri Narra, Jing Li, Hung-Wei Tseng, Steven Swanson, Murali Annavaram
2016	A*	`conf`	APRES: Improving Cache Efficiency by Exploiting Load Characteristics on GPUs. ISCA Yunho Oh, Keunsoo Kim, Myung Kuk Yoon, Jong Hyun Park, Yongjun Park, Won Woo Ro, Murali Annavaram
2016	A*	`conf`	Approximating warps with intra-warp operand value similarity. HPCA Daniel Wong, Nam Sung Kim, Murali Annavaram
2016	A	`conf`	Origami: Folding Warps for Energy Efficient GPUs. ICS Mohammad Abdel-Majeed, Daniel Wong, Justin Kuang, Murali Annavaram
2016	A*	`conf`	Virtual Thread: Maximizing Thread-Level Parallelism beyond GPU Scheduling Limit. ISCA Myung Kuk Yoon, Keunsoo Kim, Sangpil Lee, Won Woo Ro, Murali Annavaram
2016	A*	`conf`	Warped-Slicer: Efficient Intra-SM Slicing through Dynamic Resource Partitioning for GPU Multiprogramming. ISCA Qiumin Xu, Hyeran Jeon, Keunsoo Kim, Won Woo Ro, Murali Annavaram
2016	A*	`conf`	Warped-preexecution: A GPU pre-execution approach for improving latency hiding. HPCA Keunsoo Kim, Sangpil Lee, Myung Kuk Yoon, Gunjae Koo, Won Woo Ro, Murali Annavaram
2015	—	`conf`	A Retrospective Look Back on the Road Towards Energy Proportionality. IISWC Daniel Wong, Julia Chen, Murali Annavaram
2015	J	`jnl`	A privacy mechanism for mobile-based urban traffic monitoring. Pervasive Mob. Comput. Chi Wang, Hua Liu, Kwame-Lante Wright, Bhaskar Krishnamachari, Murali Annavaram
2015	A*	`conf`	GPU register file virtualization. MICRO Hyeran Jeon, Gokul Subramanian Ravi, Nam Sung Kim, Murali Annavaram
2015	—	`conf`	Revealing Critical Loads and Hidden Data Locality in GPGPU Applications. IISWC Gunjae Koo, Hyeran Jeon, Murali Annavaram
2015	A	`conf`	Warped-RE: Low-Cost Error Detection and Correction in GPUs. DSN Mohammad Abdel-Majeed, Waleed Dweik, Hyeran Jeon, Murali Annavaram
2015	A*	`conf`	Warped-compression: enabling power efficient GPUs through register compression. ISCA Sangpil Lee, Keunsoo Kim, Gunjae Koo, Hyeran Jeon, Won Woo Ro, Murali Annavaram
2014	A	`conf`	Efficient RAS support for die-stacked DRAM. ITC Hyeran Jeon, Gabriel H. Loh, Murali Annavaram
2014	J	`jnl`	Extremely Low Cost Error Protection with Correctable Parity Protected Cache. IEEE Trans. Computers Mehrtash Manoochehri, Murali Annavaram, Michel Dubois
2014	—	`conf`	Graph processing on GPUs: Where are the bottlenecks? IISWC Qiumin Xu, Hyeran Jeon, Murali Annavaram
2014	A*	`conf`	Implications of high energy proportional servers on cluster-wide energy proportionality. HPCA Daniel Wong, Murali Annavaram
2014	B	`conf`	PATS: pattern aware scheduling and power gating for GPGPUs. PACT Qiumin Xu, Murali Annavaram
2014	A	`conf`	Reliability-Aware Exceptions: Tolerating intermittent faults in microprocessor array structures. DATE Waleed Dweik, Murali Annavaram, Michel Dubois
2014	A	`conf`	Warped-Shield: Tolerating Hard Faults in GPGPUs. DSN Waleed Dweik, Mohammad Abdel-Majeed, Murali Annavaram
2013	J	`jnl`	NFRA: Generalized Network Flow-Based Resource Allocation for Hosting Centers. IEEE Trans. Computers Kimish Patel, Murali Annavaram, Massoud Pedram
2013	A	`conf`	PHYS: Profiled-HYbrid Sampling for soft error reliability benchmarking. DSN Jinho Suh, Murali Annavaram, Michel Dubois
2013	J	`jnl`	Scaling the Energy Proportionality Wall with KnightShift. IEEE Micro Daniel Wong, Murali Annavaram
2013	A*	`conf`	Warped gates: gating aware scheduling and power gating for GPGPUs. MICRO Mohammad Abdel-Majeed, Daniel Wong, Murali Annavaram
2013	A*	`conf`	Warped register file: A power efficient register file for GPGPUs. HPCA Mohammad Abdel-Majeed, Murali Annavaram
2012	—	`conf`	A case for 3D stacked analog circuits in high-speed sensing systems. ISQED Mohammad Abdel-Majeed, Mike Chen, Murali Annavaram
2012	—	`conf`	Benchmarking ISA reliability to intermittent errors. IISWC Melina Demertzi, Bardia Zandian, Ricardo Rojas, Murali Annavaram
2012	J	`jnl`	Enhancing Privacy and Accuracy in Probe Vehicle-Based Traffic Monitoring via Virtual Trip Lines. IEEE Trans. Mob. Comput. Baik Hoh, Toch Iwuchukwu, Quinn Jacobson, Daniel B. Work, Alexandre M. Bayen, Ryan Herring, Juan Carlos Herrera, Marco Gruteser, Murali Annavaram, Jeff Ban
2012	J	`jnl`	KNOWME: An Energy-Efficient Multimodal Body Area Network for Physical Activity Monitoring. ACM Trans. Embed. Comput. Syst. Gautam Thatte, Ming Li, Sangwon Lee, B. Adar Emken, Shrikanth S. Narayanan, Urbashi Mitra, Donna Spruijt-Metz, Murali Annavaram
2012	J	`jnl`	KNOWME: a case study in wireless body area sensor network design. IEEE Commun. Mag. Urbashi Mitra, B. Adar Emken, Sangwon Lee, Ming Li, Viktor Rozgic, Gautam Thatte, Harshvardhan Vathsangam, Daphney-Stavroula Zois, Murali Annavaram, Shrikanth S. Narayanan, Marco Levorato, Donna Spruijt-Metz, Gaurav S. Sukhatme
2012	A*	`conf`	KnightShift: Scaling the Energy Proportionality Wall through Server-Level Heterogeneity. MICRO Daniel Wong, Murali Annavaram
2012	A*	`conf`	MACAU: A Markov model for reliability evaluations of caches under Single-bit and Multi-bit Upsets. HPCA Jinho Suh, Murali Annavaram, Michel Dubois
2012	B	`conf`	Semi-Markov state estimation and policy optimization for energy efficient mobile sensing. SECON Yi Wang, Bhaskar Krishnamachari, Murali Annavaram
2012	A*	`conf`	Warped-DMR: Light-weight Error Detection for GPGPU. MICRO Hyeran Jeon, Murali Annavaram
2012	—	`conf`	Wireless Body Area Networks: Where does energy go? IISWC Sangwon Lee, Murali Annavaram
2011	A*	`conf`	A case for guarded power gating for multi-core processors. HPCA Niti Madan, Alper Buyuktosunoglu, Pradip Bose, Murali Annavaram
2011	—	`conf`	Analyzing the effects of compiler optimizations on application reliability. IISWC Melina Demertzi, Murali Annavaram, Mary W. Hall
2011	A*	`conf`	CPPC: correctable parity protected cache. ISCA Mehrtash Manoochehri, Murali Annavaram, Michel Dubois
2011	A	`conf`	Cross-layer resilience using wearout aware design flow. DSN Bardia Zandian, Murali Annavaram
2011	—	`conf`	Modeling high-level descriptions of real-life physical activities using latent topic modeling of multimodal sensor signals. EMBC Samuel Kim, Ming Li, Sangwon Lee, Urbashi Mitra, B. Adar Emken, Donna Spruijt-Metz, Murali Annavaram, Shrikanth S. Narayanan
2011	J	`jnl`	Optimal Time-Resource Allocation for Energy-Efficient Physical Activity Detection. IEEE Trans. Signal Process. Gautam Thatte, Ming Li, Sangwon Lee, B. Adar Emken, Murali Annavaram, Shrikanth S. Narayanan, Donna Spruijt-Metz, Urbashi Mitra
2011	A*	`conf`	Soft error benchmarking of L2 caches with PARMA. SIGMETRICS Jinho Suh, Mehrtash Manoochehri, Murali Annavaram, Michel Dubois
2010	A*	`conf`	Adaptive and Speculative Slack Simulations of CMPs on CMPs. MICRO Jianwei Chen, Lakshmi Kumar Dabbiru, Daniel Wong, Murali Annavaram, Michel Dubois
2010	—	`conf`	Guarded Power Gating in a Multi-core Setting. ISCA Workshops Niti Madan, Alper Buyuktosunoglu, Pradip Bose, Murali Annavaram
2010	—	`conf`	KnightShift: Shifting the I/O Burden in Datacenters to Management Processor for Energy Efficiency. ISCA Workshops Sabyasachi Ghosh, Mark Redekopp, Murali Annavaram
2010	—	`conf`	Markov-optimal sensing policy for user state estimation in mobile devices. IPSN Yi Wang, Bhaskar Krishnamachari, Qing Zhao, Murali Annavaram
2010	A	`conf`	WearMon: Reliability monitoring using adaptive critical path testing. DSN Bardia Zandian, Waleed Dweik, Suk Hun Kang, Thomas Punihaole, Murali Annavaram
2009	A	`conf`	A framework of energy efficient mobile sensing for automatic user state recognition. MobiSys Yi Wang, Jialiu Lin, Murali Annavaram, Quinn Jacobson, Jason I. Hong, Bhaskar Krishnamachari, Norman M. Sadeh
2009	B	`conf`	Exploiting Simulation Slack to Improve Parallel Simulation Speed. ICPP Jianwei Chen, Murali Annavaram, Michel Dubois
2009	B	`conf`	Optimal Allocation of Time-Resources for Multihypothesis Activity-Level Detection. DCOSS Gautam Thatte, Viktor Rozgic, Ming Li, Sabyasachi Ghosh, Urbashi Mitra, Shrikanth S. Narayanan, Murali Annavaram, Donna Spruijt-Metz
2009	—	`conf`	Optimal time-resource allocation for activity-detection via multimodal sensing. BODYNETS Gautam Thatte, Viktor Rozgic, Ming Li, Sabyasachi Ghosh, Urbashi Mitra, Shrikanth S. Narayanan, Murali Annavaram, Donna Spruijt-Metz
2009	J	`jnl`	SlackSim: a platform for parallel simulations of CMPs on CMPs. SIGARCH Comput. Archit. News Jianwei Chen, Murali Annavaram, Michel Dubois
2009	J	`jnl`	SlackSim: a platform for parallel simulations of CMPs on CMPs. SIGMETRICS Perform. Evaluation Rev. Jianwei Chen, Murali Annavaram, Michel Dubois
2009	—	`conf`	The Tradeoff between Energy Efficiency and User State Estimation Accuracy in Mobile Sensing. MobiCASE Yi Wang, Bhaskar Krishnamachari, Qing Zhao, Murali Annavaram
2009	A	`conf`	Tolerance of performance degrading faults for effective yield improvement. ITC Tong-Yu Hsieh, Melvin A. Breuer, Murali Annavaram, Sandeep K. Gupta, Kuen-Jong Lee
2008	A	`conf`	Game theoretic approach to location sharing with privacy in a community-based mobile safety application. MSWiM Hua Liu, Bhaskar Krishnamachari, Murali Annavaram
2008	—	`conf`	Implications of device timing variability on full chip timing. ISPD Ed Grochowski, Murali Annavaram, Paul Reed
2008	A	`conf`	Virtual trip lines for distributed privacy-preserving traffic monitoring. MobiSys Baik Hoh, Marco Gruteser, Ryan Herring, Jeff Ban, Daniel B. Work, Juan Carlos Herrera, Alexandre M. Bayen, Murali Annavaram, Quinn Jacobson
2007	A*	`conf`	Implications of Device Timing Variability on Full Chip Timing. HPCA Murali Annavaram, Ed Grochowski, Paul Reed
2006	A*	`conf`	Die Stacking (3D) Microarchitecture. MICRO 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, Sadasivan Shankar, John Paul Shen, Clair Webb
2005	A*	`conf`	Mitigating Amdahl's Law through EPI Throttling. ISCA Murali Annavaram, Ed Grochowski, John Paul Shen
2004	J	`jnl`	A case for shared instruction cache on chip multiprocessors running OLTP. SIGARCH Comput. Archit. News Partha Kundu, Murali Annavaram, Trung A. Diep, John Paul Shen
2004	A*	`conf`	The Fuzzy Correlation between Code and Performance Predictability. MICRO Murali Annavaram, Ryan N. Rakvic, Marzia Polito, Jean-Yves Bouguet, Richard A. Hankins, Bob Davies
2003	J	`jnl`	Call graph prefetching for database applications. ACM Trans. Comput. Syst. Murali Annavaram, Jignesh M. Patel, Edward S. Davidson
2003	A*	`conf`	Scaling and Charact rizing Database Workloads: Bridging the Gap between Research and Practice. MICRO Richard A. Hankins, Trung A. Diep, Murali Annavaram, Brian Hirano, Harald Eri, Hubert Nueckel, John Paul Shen
2002	C	`conf`	Branch Behavior of a Commercial OLTP Workload on Intel IA32 Processors. ICCD Murali Annavaram, Trung A. Diep, John Paul Shen
2001	A*	`conf`	Call Graph Prefetching for Database Applications. HPCA Murali Annavaram, Jignesh M. Patel, Edward S. Davidson
2001	A*	`conf`	Data prefetching by dependence graph precomputation. ISCA Murali Annavaram, Jignesh M. Patel, Edward S. Davidson
2001	—	`—`	Prefetch mechanisms that acquire and exploit application specific knowledge. Murali Annavaram
2000	B	`conf`	Instruction overhead and data locality effects in superscalar processors. ISPASS Murali Annavaram, Gary S. Tyson, Edward S. Davidson
1996	—	`conf`	Comparison of two storage models in data-driven multithreaded architectures. SPDP Murali Annavaram, Walid A. Najjar