Murali Annavaram

ORCID

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 85

Top Venues

Publications

Tingting Tang, Yue Niu, Salman Avestimehr, Murali Annavaram
Edge Private Graph Neural Networks with Singular Value Perturbation. Proc. Priv. Enhancing Technol. 2024 (3) (2024)
James Flemings, Meisam Razaviyayn, Murali Annavaram
Differentially Private Next-Token Prediction of Large Language Models. CoRR (2024)
Abdulaziz Tabbakh, Murali Annavaram
An efficient sequential consistency implementation with dynamic race detection for GPUs. J. Parallel Distributed Comput. 187 (2024)
Lei Gao, Yue Niu, Tingting Tang, Salman Avestimehr, Murali Annavaram
Ethos: Rectifying Language Models in Orthogonal Parameter Space. CoRR (2024)
James Flemings, Murali Annavaram
Differentially Private Knowledge Distillation via Synthetic Text Generation. ACL (Findings) (2024)
Tingting Tang, Yue Niu, Salman Avestimehr, Murali Annavaram
Edge Private Graph Neural Networks with Singular Value Perturbation. CoRR (2024)
James Flemings, Murali Annavaram
Differentially Private Knowledge Distillation via Synthetic Text Generation. CoRR (2024)
Hossein Entezari Zarch, Abdulla Alshabanah, Chaoyi Jiang, Murali Annavaram
CADC: Encoding User-Item Interactions for Compressing Recommendation Model Training Data. CoRR (2024)
James Flemings, Meisam Razaviyayn, Murali Annavaram
Differentially Private Next-Token Prediction of Large Language Models. NAACL-HLT (2024)
Yongqin Wang, Pratik Sarkar, Nishat Koti, Arpita Patra, Murali Annavaram
CompactTag: Minimizing Computation Overheads in Actively-Secure MPC for Deep Neural Networks. IACR Cryptol. ePrint Arch. 2023 (2023)
Gunjae Koo, Yunho Oh, Hung-Wei Tseng, Won Woo Ro, Murali Annavaram
FLIXR: Embedding Index Into Flash Translation Layer in SSDs. IEEE Trans. Computers 72 (1) (2023)
Yongqin Wang, Pratik Sarkar, Nishat Koti, Arpita Patra, Murali Annavaram
CompactTag: Minimizing Computation Overheads in Actively-Secure MPC for Deep Neural Networks. CoRR (2023)
Haipeng Zha, Swamit Tannu, Murali Annavaram
SuperBP: Design Space Exploration of Perceptron-Based Branch Predictors for Superconducting CPUs. MICRO (2023)
Rachit Rajat, Yongqin Wang, Murali Annavaram
LAORAM: A Look Ahead ORAM Architecture for Training Large Embedding Tables. ISCA (2023)
Haipeng Zha, Naveen Kumar Katam, Massoud Pedram, Murali Annavaram
HiPerRF: A Dual-Bit Dense Storage SFQ Register File. HPCA (2022)
Yongqin Wang, Rachit Rajat, Murali Annavaram
MPC-Pipe: an Efficient Pipeline Scheme for Secure Multi-party Machine Learning Inference. CoRR (2022)
Hanieh Hashemi, Yongqin Wang, Murali Annavaram
DarKnight: An Accelerated Framework for Privacy and Integrity Preserving Deep Learning Using Trusted Hardware. CoRR (2022)
Hanieh Hashemi, Wenjie Xiong, Liu Ke, Kiwan Maeng, Murali Annavaram, G. Edward Suh, Hsien-Hsin S. Lee
Data Leakage via Access Patterns of Sparse Features in Deep Learning-based Recommendation Systems. CoRR (2022)
Rachit Rajat, Yongqin Wang, Murali Annavaram
PageORAM: An Efficient DRAM Page Aware ORAM Strategy. MICRO (2022)
Assaf Eisenman, Kiran Kumar Matam, Steven Ingram, Dheevatsa Mudigere, Raghuraman Krishnamoorthi, Krishnakumar Nair, Misha Smelyanskiy, Murali Annavaram
Check-N-Run: a Checkpointing System for Training Deep Learning Recommendation Models. NSDI (2022)
Chaoyang He, Emir Ceyani, Keshav Balasubramanian, Murali Annavaram, Salman Avestimehr
SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data. AAAI (2022)
Tiantian Feng, Hanieh Hashemi, Murali Annavaram, Shrikanth S. Narayanan
Enhancing Privacy Through Domain Adaptive Noise Injection For Speech Emotion Recognition. ICASSP (2022)
Yongqin Wang, G. Edward Suh, Wenjie Xiong, Benjamin Lefaudeux, Brian Knott, Murali Annavaram, Hsien-Hsin S. Lee
Characterization of MPC-based Private Inference for Transformer-based Models. ISPASS (2022)
Tingting Tang, Ramy E. Ali, Hanieh Hashemi, Tynan Gangwani, Salman Avestimehr, Murali Annavaram
Adaptive Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning. IPDPS (2022)
Elan Markowitz, Keshav Balasubramanian, Mehrnoosh Mirtaheri, Murali Annavaram, Aram Galstyan, Greg Ver Steeg
StATIK: Structure and Text for Inductive Knowledge Graph Completion. NAACL-HLT (Findings) (2022)
Chaoyang He, Emir Ceyani, Keshav Balasubramanian, Murali Annavaram, Salman Avestimehr
SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks. CoRR (2021)
Tingting Tang, Ramy E. Ali, Hanieh Hashemi, Tynan Gangwani, Salman Avestimehr, Murali Annavaram
Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning. CoRR (2021)
Chaoyang He, Keshav Balasubramanian, Emir Ceyani, Yu Rong, Peilin Zhao, Junzhou Huang, Murali Annavaram, Salman Avestimehr
FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks. CoRR (2021)
Hanieh Hashemi, Yongqin Wang, Murali Annavaram
DarKnight: An Accelerated Framework for Privacy and Integrity Preserving Deep Learning Using Trusted Hardware. MICRO (2021)
Hanieh Hashemi, Yongqin Wang, Murali Annavaram
Privacy and Integrity Preserving Training Using Trusted Hardware. CoRR (2021)
Keshav Balasubramanian, Abdulla Alshabanah, Joshua D. Choe, Murali Annavaram
cDLRM: Look Ahead Caching for Scalable Training of Recommendation Models. RecSys (2021)
Kiran Kumar Matam, Hanieh Hashemi, Murali Annavaram
MultiLogVC: Efficient Out-of-Core Graph Processing Framework for Flash Storage. IPDPS (2021)
Pradipta Ghosh, Quynh Nguyen, Pranav K. Sakulkar, Jason A. Tran, Aleksandra Knezevic, Jiatong Wang, Zhifeng Lin, Bhaskar Krishnamachari, Murali Annavaram, Salman Avestimehr
Jupiter: a networked computing architecture. UCC Companion (2021)
Krishna Giri Narra, Zhifeng Lin, Yongqin Wang, Keshav Balasubramanian, Murali Annavaram
Origami Inference: Private Inference Using Hardware Enclaves. CLOUD (2021)
Hanieh Hashemi, Yongqin Wang, Chuan Guo, Murali Annavaram
Byzantine-Robust and Privacy-Preserving Framework for FedML. CoRR (2021)
Alexander Poylisher, Andrzej Cichocki, K. Guo, J. Hunziker, Latha A. Kant, Bhaskar Krishnamachari, Salman Avestimehr, Murali Annavaram
Tactical Jupiter: Dynamic Scheduling of Dispersed Computations in Tactical MANETs. MILCOM (2021)
Tiantian Feng, Hanieh Hashemi, Rajat Hebbar, Murali Annavaram, Shrikanth S. Narayanan
Attribute Inference Attack of Speech Emotion Recognition in Federated Learning Settings. CoRR (2021)
Rachit Rajat, Yongqin Wang, Murali Annavaram
Look Ahead ORAM: Obfuscating Addresses in Recommendation Model Training. CoRR (2021)
Assaf Eisenman, Kiran Kumar Matam, Steven Ingram, Dheevatsa Mudigere, Raghuraman Krishnamoorthi, Murali Annavaram, Krishnakumar Nair, Misha Smelyanskiy
Check-N-Run: A Checkpointing System for Training Recommendation Models. CoRR (2020)
Hanieh Hashemi, Yongqin Wang, Murali Annavaram
DarKnight: A Data Privacy Scheme for Training and Inference of Deep Neural Networks. CoRR (2020)
Chaoyang He, Murali Annavaram, Salman Avestimehr
Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge. NeurIPS (2020)
Chaoyang He, Murali Annavaram, Salman Avestimehr
FedNAS: Federated Deep Learning via Neural Architecture Search. CoRR (2020)
Alexandra Angerd, Keshav Balasubramanian, Murali Annavaram
Distributed Training of Graph Convolutional Networks using Subgraph Approximation. CoRR (2020)
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
FedML: A Research Library and Benchmark for Federated Machine Learning. CoRR (2020)
Hema Venkata Krishna Giri Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram
Collage Inference: Using Coded Redundancy for Lowering Latency Variation in Distributed Image Classification Systems. ICDCS (2020)
Chaoyang He, Murali Annavaram, Salman Avestimehr
Group Knowledge Transfer: Collaborative Training of Large CNNs on the Edge. CoRR (2020)
Yunho Oh, Keunsoo Kim, Myung Kuk Yoon, Jong Hyun Park, Yongjun Park, Murali Annavaram, Won Woo Ro
Adaptive Cooperation of Prefetching and Warp Scheduling on GPUs. IEEE Trans. Computers 68 (4) (2019)
Krishna Narra, Zhifeng Lin, Mehrdad Kiamari, Salman Avestimehr, Murali Annavaram
Distributed Matrix Multiplication Using Speed Adaptive Coding. CoRR (2019)
Kiran Kumar Matam, Gunjae Koo, Haipeng Zha, Hung-Wei Tseng, Murali Annavaram
GraphSSD: graph semantics aware SSD. ISCA (2019)
Krishna Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram
Collage Inference: Achieving low tail latency during distributed image classification using coded redundancy models. CoRR (2019)
Krishna Giri Narra, Zhifeng Lin, Yongqin Wang, Keshav Balasubramaniam, Murali Annavaram
Privacy-Preserving Inference in Machine Learning Services Using Trusted Execution Environments. CoRR (2019)
Zhifeng Lin, Krishna Giri Narra, Mingchao Yu, Salman Avestimehr, Murali Annavaram
Train Where the Data is: A Case for Bandwidth Efficient Coded Training. CoRR (2019)
Pradipta Ghosh, Quynh Nguyen, Pranav K. Sakulkar, Aleksandra Knezevic, Jason A. Tran, Jiatong Wang, Zhifeng Lin, Bhaskar Krishnamachari, Murali Annavaram, Salman Avestimehr
Jupiter: A Networked Computing Architecture. CoRR (2019)
Krishna Giri Narra, Zhifeng Lin, Mehrdad Kiamari, Salman Avestimehr, Murali Annavaram
Slack squeeze coded computing for adaptive straggler mitigation. SC (2019)
Kiran Kumar Matam, Mohammad Abdel-Majeed, Murali Annavaram
Efficient automatic parallelization of a single GPU program for a multiple GPU system. Integr. 66 (2019)
Krishna Giri Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram
Collage Inference: Tolerating Stragglers in Distributed Neural Network Inference using Coding. CoRR (2019)
Qiumin Xu, Hoda Naghibijouybari, Shibo Wang, Nael B. Abu-Ghazaleh, Murali Annavaram
GPUGuard: mitigating contention based side and covert channel attacks on GPUs. ICS (2019)
Kiran Kumar Matam, Hanieh Hashemi, Murali Annavaram
PartitionedVC: Partitioned External Memory Graph Analytics Framework for SSDs. CoRR (2019)
Bingchao Li, Jizeng Wei, Jizhou Sun, Murali Annavaram, Nam Sung Kim
An Efficient GPU Cache Architecture for Applications with Irregular Memory Access Patterns. ACM Trans. Archit. Code Optim. 16 (3) (2019)
Yunho Oh, Gunjae Koo, Murali Annavaram, Won Woo Ro
Linebacker: preserving victim cache lines in idle register files of GPUs. ISCA (2019)
Mingchao Yu, Zhifeng Lin, Krishna Narra, Songze Li, Youjie Li, Nam Sung Kim, Alexander G. Schwing, Murali Annavaram, Salman Avestimehr
GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training. NeurIPS (2018)
Mingchao Yu, Zhifeng Lin, Krishna Narra, Songze Li, Youjie Li, Nam Sung Kim, Alexander G. Schwing, Murali Annavaram, Salman Avestimehr
GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training. CoRR (2018)
Gunjae Koo, Hyeran Jeon, Zhenhong Liu, Nam Sung Kim, Murali Annavaram
CTA-Aware Prefetching and Scheduling for GPU. IPDPS (2018)
Abdulaziz Tabbakh, Xuehai Qian, Murali Annavaram
G-TSC: Timestamp Based Coherence for GPUs. HPCA (2018)
Qiumin Xu, Manu Awasthi, Krishna T. Malladi, Janki Bhimani, Jingpei Yang, Murali Annavaram
Docker characterization on high performance SSDs. ISPASS (2017)
Gunjae Koo, Kiran Kumar Matam, Te I, H. V. Krishna Giri Narra, Jing Li, Hung-Wei Tseng, Steven Swanson, Murali Annavaram
Summarizer: trading communication with computing near storage. MICRO (2017)
Gunjae Koo, Yunho Oh, Won Woo Ro, Murali Annavaram
Access Pattern-Aware Cache Management for Improving Data Utilization in GPU. ISCA (2017)
Bingchao Li, Jizhou Sun, Murali Annavaram, Nam Sung Kim
Elastic-Cache: GPU Cache Architecture for Efficient Fine- and Coarse-Grained Cache-Line Management. IPDPS (2017)
Mohammad Abdel-Majeed, Alireza Shafaei, Hyeran Jeon, Massoud Pedram, Murali Annavaram
Pilot Register File: Energy Efficient Partitioned Register File for GPUs. HPCA (2017)
Zhenhong Liu, Syed Zohaib Gilani, Murali Annavaram, Nam Sung Kim
G-Scalar: Cost-Effective Generalized Scalar Execution Architecture for Power-Efficient GPUs. HPCA (2017)
Aleksandra Knezevic, Quynh Nguyen, Jason A. Tran, Pradipta Ghosh, Pranav Sakulkar, Bhaskar Krishnamachari, Murali Annavaram
CIRCE - a runtime scheduler for DAG-based dispersed computing: demo. SEC (2017)
Abdulaziz Tabbakh, Murali Annavaram, Xuehai Qian
Power Efficient Sharing-Aware GPU Data Management. IPDPS (2017)
Sangpil Lee, Keunsoo Kim, Gunjae Koo, Hyeran Jeon, Murali Annavaram, Won Woo Ro
Improving Energy Efficiency of GPUs through Data Compression and Compressed Execution. IEEE Trans. Computers 66 (5) (2017)
Myung Kuk Yoon, Keunsoo Kim, Sangpil Lee, Won Woo Ro, Murali Annavaram
Virtual Thread: Maximizing Thread-Level Parallelism beyond GPU Scheduling Limit. ISCA (2016)
Mohammad Abdel-Majeed, Daniel Wong, Justin Kuang, Murali Annavaram
Origami: Folding Warps for Energy Efficient GPUs. ICS (2016)
Daniel Wong, Nam Sung Kim, Murali Annavaram
Approximating warps with intra-warp operand value similarity. HPCA (2016)
Keunsoo Kim, Sangpil Lee, Myung Kuk Yoon, Gunjae Koo, Won Woo Ro, Murali Annavaram
Warped-preexecution: A GPU pre-execution approach for improving latency hiding. HPCA (2016)
Qiumin Xu, Hyeran Jeon, Keunsoo Kim, Won Woo Ro, Murali Annavaram
Warped-Slicer: Efficient Intra-SM Slicing through Dynamic Resource Partitioning for GPU Multiprogramming. ISCA (2016)
Yunho Oh, Keunsoo Kim, Myung Kuk Yoon, Jong Hyun Park, Yongjun Park, Won Woo Ro, Murali Annavaram
APRES: Improving Cache Efficiency by Exploiting Load Characteristics on GPUs. ISCA (2016)
Chi Wang, Hua Liu, Kwame-Lante Wright, Bhaskar Krishnamachari, Murali Annavaram
A privacy mechanism for mobile-based urban traffic monitoring. Pervasive Mob. Comput. 20 (2015)
Daniel Wong, Julia Chen, Murali Annavaram
A Retrospective Look Back on the Road Towards Energy Proportionality. IISWC (2015)
Sangpil Lee, Keunsoo Kim, Gunjae Koo, Hyeran Jeon, Won Woo Ro, Murali Annavaram
Warped-compression: enabling power efficient GPUs through register compression. ISCA (2015)
Mohammad Abdel-Majeed, Waleed Dweik, Hyeran Jeon, Murali Annavaram
Warped-RE: Low-Cost Error Detection and Correction in GPUs. DSN (2015)
Hyeran Jeon, Gokul Subramanian Ravi, Nam Sung Kim, Murali Annavaram
GPU register file virtualization. MICRO (2015)
Gunjae Koo, Hyeran Jeon, Murali Annavaram
Revealing Critical Loads and Hidden Data Locality in GPGPU Applications. IISWC (2015)
Mehrtash Manoochehri, Murali Annavaram, Michel Dubois
Extremely Low Cost Error Protection with Correctable Parity Protected Cache. IEEE Trans. Computers 63 (10) (2014)
Daniel Wong, Murali Annavaram
Implications of high energy proportional servers on cluster-wide energy proportionality. HPCA (2014)
Qiumin Xu, Hyeran Jeon, Murali Annavaram
Graph processing on GPUs: Where are the bottlenecks? IISWC (2014)
Qiumin Xu, Murali Annavaram
PATS: pattern aware scheduling and power gating for GPGPUs. PACT (2014)
Waleed Dweik, Murali Annavaram, Michel Dubois
Reliability-Aware Exceptions: Tolerating intermittent faults in microprocessor array structures. DATE (2014)
Waleed Dweik, Mohammad Abdel-Majeed, Murali Annavaram
Warped-Shield: Tolerating Hard Faults in GPGPUs. DSN (2014)
Hyeran Jeon, Gabriel H. Loh, Murali Annavaram
Efficient RAS support for die-stacked DRAM. ITC (2014)
Mohammad Abdel-Majeed, Daniel Wong, Murali Annavaram
Warped gates: gating aware scheduling and power gating for GPGPUs. MICRO (2013)
Mohammad Abdel-Majeed, Murali Annavaram
Warped register file: A power efficient register file for GPGPUs. HPCA (2013)
Daniel Wong, Murali Annavaram
Scaling the Energy Proportionality Wall with KnightShift. IEEE Micro 33 (3) (2013)
Kimish Patel, Murali Annavaram, Massoud Pedram
NFRA: Generalized Network Flow-Based Resource Allocation for Hosting Centers. IEEE Trans. Computers 62 (9) (2013)
Jinho Suh, Murali Annavaram, Michel Dubois
PHYS: Profiled-HYbrid Sampling for soft error reliability benchmarking. DSN (2013)
Jinho Suh, Murali Annavaram, Michel Dubois
MACAU: A Markov model for reliability evaluations of caches under Single-bit and Multi-bit Upsets. HPCA (2012)
Sangwon Lee, Murali Annavaram
Wireless Body Area Networks: Where does energy go? IISWC (2012)
Gautam Thatte, Ming Li, Sangwon Lee, B. Adar Emken, Shrikanth S. Narayanan, Urbashi Mitra, Donna Spruijt-Metz, Murali Annavaram
KNOWME: An Energy-Efficient Multimodal Body Area Network for Physical Activity Monitoring. ACM Trans. Embed. Comput. Syst. 11 (S2) (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Murali Annavaram