Murali Annavaram

According to our database, Murali Annavaram authored at least 132 papers between 1996 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

An efficient sequential consistency implementation with dynamic race detection for GPUs.

Abdulaziz Tabbakh, Murali Annavaram

J. Parallel Distributed Comput., May, 2024

Differentially Private Next-Token Prediction of Large Language Models.

James Flemings, Meisam Razaviyayn, Murali Annavaram

CoRR, 2024

Edge Private Graph Neural Networks with Singular Value Perturbation.

Tingting Tang, Yue Niu, Salman Avestimehr, Murali Annavaram

CoRR, 2024

Ethos: Rectifying Language Models in Orthogonal Parameter Space.

Lei Gao, Yue Niu, Tingting Tang, Salman Avestimehr, Murali Annavaram

CoRR, 2024

Differentially Private Knowledge Distillation via Synthetic Text Generation.

James Flemings, Murali Annavaram

CoRR, 2024

2023

FLIXR: Embedding Index Into Flash Translation Layer in SSDs.

Gunjae Koo, Yunho Oh, Hung-Wei Tseng, Won Woo Ro, Murali Annavaram

IEEE Trans. Computers, 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

SuperBP: Design Space Exploration of Perceptron-Based Branch Predictors for Superconducting CPUs.

Haipeng Zha, Swamit Tannu, Murali Annavaram

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

LAORAM: A Look Ahead ORAM Architecture for Training Large Embedding Tables.

Rachit Rajat, Yongqin Wang, Murali Annavaram

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

2022

Data Leakage via Access Patterns of Sparse Features in Deep Learning-based Recommendation Systems.

Hanieh Hashemi, Wenjie Xiong, Liu Ke, Kiwan Maeng, Murali Annavaram, G. Edward Suh, Hsien-Hsin S. Lee

CoRR, 2022

MPC-Pipe: an Efficient Pipeline Scheme for Secure Multi-party Machine Learning Inference.

Yongqin Wang, Rachit Rajat, Murali Annavaram

CoRR, 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

Proceedings of the 19th USENIX Symposium on Networked Systems Design and Implementation, 2022

StATIK: Structure and Text for Inductive Knowledge Graph Completion.

Elan Markowitz, Keshav Balasubramanian, Mehrnoosh Mirtaheri, Murali Annavaram, Aram Galstyan, Greg Ver Steeg

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

PageORAM: An Efficient DRAM Page Aware ORAM Strategy.

Rachit Rajat, Yongqin Wang, Murali Annavaram

Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

Characterization of MPC-based Private Inference for Transformer-based Models.

Yongqin Wang, G. Edward Suh, Wenjie Xiong, Benjamin Lefaudeux, Brian Knott, Murali Annavaram, Hsien-Hsin S. Lee

Proceedings of the International IEEE Symposium on Performance Analysis of Systems and Software, 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

Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

Enhancing Privacy Through Domain Adaptive Noise Injection For Speech Emotion Recognition.

Tiantian Feng, Hanieh Hashemi, Murali Annavaram, Shrikanth S. Narayanan

Proceedings of the IEEE International Conference on Acoustics, 2022

HiPerRF: A Dual-Bit Dense Storage SFQ Register File.

Haipeng Zha, Naveen Kumar Katam, Massoud Pedram, Murali Annavaram

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022

SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data.

Chaoyang He, Emir Ceyani, Keshav Balasubramanian, Murali Annavaram, Salman Avestimehr

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

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

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

Look Ahead ORAM: Obfuscating Addresses in Recommendation Model Training.

Rachit Rajat, Yongqin Wang, Murali Annavaram

CoRR, 2021

SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks.

Chaoyang He, Emir Ceyani, Keshav Balasubramanian, Murali Annavaram, Salman Avestimehr

CoRR, 2021

Byzantine-Robust and Privacy-Preserving Framework for FedML.

Hanieh Hashemi, Yongqin Wang, Chuan Guo, Murali Annavaram

CoRR, 2021

Privacy and Integrity Preserving Training Using Trusted Hardware.

Hanieh Hashemi, Yongqin Wang, Murali Annavaram

CoRR, 2021

FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks.

Chaoyang He, Keshav Balasubramanian, Emir Ceyani, Yu Rong, Peilin Zhao, Junzhou Huang, Murali Annavaram, Salman Avestimehr

CoRR, 2021

Jupiter: a networked computing architecture.

Pradipta Ghosh, Quynh Nguyen, Pranav K. Sakulkar, Jason A. Tran, Aleksandra Knezevic, Jiatong Wang, Zhifeng Lin, Bhaskar Krishnamachari, Murali Annavaram, Salman Avestimehr

Proceedings of the UCC '21: 2021 IEEE/ACM 14th International Conference on Utility and Cloud Computing, Leicester, United Kingdom, December 6 - 9, 2021, 2021

cDLRM: Look Ahead Caching for Scalable Training of Recommendation Models.

Keshav Balasubramanian, Abdulla Alshabanah, Joshua D. Choe, Murali Annavaram

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 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

Proceedings of the 2021 IEEE Military Communications Conference, 2021

DarKnight: An Accelerated Framework for Privacy and Integrity Preserving Deep Learning Using Trusted Hardware.

Hanieh Hashemi, Yongqin Wang, Murali Annavaram

Proceedings of the MICRO '21: 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021

MultiLogVC: Efficient Out-of-Core Graph Processing Framework for Flash Storage.

Kiran Kumar Matam, Hanieh Hashemi, Murali Annavaram

Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

Origami Inference: Private Inference Using Hardware Enclaves.

Krishna Giri Narra, Zhifeng Lin, Yongqin Wang, Keshav Balasubramanian, Murali Annavaram

Proceedings of the 14th IEEE International Conference on Cloud Computing, 2021

2020

Distributed Training of Graph Convolutional Networks using Subgraph Approximation.

Alexandra Angerd, Keshav Balasubramanian, Murali Annavaram

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

Group Knowledge Transfer: Collaborative Training of Large CNNs on the Edge.

Chaoyang He, Murali Annavaram, Salman Avestimehr

CoRR, 2020

FedML: A Research Library and Benchmark for Federated Machine Learning.

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

CoRR, 2020

DarKnight: A Data Privacy Scheme for Training and Inference of Deep Neural Networks.

Hanieh Hashemi, Yongqin Wang, Murali Annavaram

CoRR, 2020

FedNAS: Federated Deep Learning via Neural Architecture Search.

Chaoyang He, Murali Annavaram, Salman Avestimehr

CoRR, 2020

Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge.

Chaoyang He, Murali Annavaram, Salman Avestimehr

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

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

Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

2019

Adaptive Cooperation of Prefetching and Warp Scheduling on GPUs.

Yunho Oh, Keunsoo Kim, Myung Kuk Yoon, Jong Hyun Park, Yongjun Park, Murali Annavaram, Won Woo Ro

IEEE Trans. Computers, 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

Efficient automatic parallelization of a single GPU program for a multiple GPU system.

Kiran Kumar Matam, Mohammad Abdel-Majeed, Murali Annavaram

Integr., 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

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

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

PartitionedVC: Partitioned External Memory Graph Analytics Framework for SSDs.

Kiran Kumar Matam, Hanieh Hashemi, 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

Distributed Matrix Multiplication Using Speed Adaptive Coding.

Krishna Narra, Zhifeng Lin, Mehrdad Kiamari, Salman Avestimehr, Murali Annavaram

CoRR, 2019

Slack squeeze coded computing for adaptive straggler mitigation.

Krishna Giri Narra, Zhifeng Lin, Mehrdad Kiamari, Salman Avestimehr, Murali Annavaram

Proceedings of the International Conference for High Performance Computing, 2019

Linebacker: preserving victim cache lines in idle register files of GPUs.

Yunho Oh, Gunjae Koo, Murali Annavaram, Won Woo Ro

Proceedings of the 46th International Symposium on Computer Architecture, 2019

GraphSSD: graph semantics aware SSD.

Kiran Kumar Matam, Gunjae Koo, Haipeng Zha, Hung-Wei Tseng, Murali Annavaram

Proceedings of the 46th International Symposium on Computer Architecture, 2019

GPUGuard: mitigating contention based side and covert channel attacks on GPUs.

Qiumin Xu, Hoda Naghibijouybari, Shibo Wang, Nael B. Abu-Ghazaleh, Murali Annavaram

Proceedings of the ACM International Conference on Supercomputing, 2019

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

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

CTA-Aware Prefetching and Scheduling for GPU.

Gunjae Koo, Hyeran Jeon, Zhenhong Liu, Nam Sung Kim, Murali Annavaram

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

G-TSC: Timestamp Based Coherence for GPUs.

Abdulaziz Tabbakh, Xuehai Qian, Murali Annavaram

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2018

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

Summarizer: trading communication with computing near storage.

Gunjae Koo, Kiran Kumar Matam, Te I, H. V. Krishna Giri Narra, Jing Li, Hung-Wei Tseng, Steven Swanson, Murali Annavaram

Proceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture, 2017

Docker characterization on high performance SSDs.

Qiumin Xu, Manu Awasthi, Krishna T. Malladi, Janki Bhimani, Jingpei Yang, Murali Annavaram

Proceedings of the 2017 IEEE International Symposium on Performance Analysis of Systems and Software, 2017

Access Pattern-Aware Cache Management for Improving Data Utilization in GPU.

Gunjae Koo, Yunho Oh, Won Woo Ro, Murali Annavaram

Proceedings of the 44th Annual International Symposium on Computer Architecture, 2017

Power Efficient Sharing-Aware GPU Data Management.

Abdulaziz Tabbakh, Murali Annavaram, Xuehai Qian

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017

Elastic-Cache: GPU Cache Architecture for Efficient Fine- and Coarse-Grained Cache-Line Management.

Bingchao Li, Jizhou Sun, Murali Annavaram, Nam Sung Kim

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017

G-Scalar: Cost-Effective Generalized Scalar Execution Architecture for Power-Efficient GPUs.

Zhenhong Liu, Syed Zohaib Gilani, Murali Annavaram, Nam Sung Kim

Proceedings of the 2017 IEEE International Symposium on High Performance Computer Architecture, 2017

Pilot Register File: Energy Efficient Partitioned Register File for GPUs.

Mohammad Abdel-Majeed, Alireza Shafaei, Hyeran Jeon, Massoud Pedram, Murali Annavaram

Proceedings of the 2017 IEEE International Symposium on High Performance Computer Architecture, 2017

CIRCE - a runtime scheduler for DAG-based dispersed computing: demo.

Aleksandra Knezevic, Quynh Nguyen, Jason A. Tran, Pradipta Ghosh, Pranav Sakulkar, Bhaskar Krishnamachari, Murali Annavaram

Proceedings of the Second ACM/IEEE Symposium on Edge Computing, San Jose / Silicon Valley, 2017

2016

Virtual Thread: Maximizing Thread-Level Parallelism beyond GPU Scheduling Limit.

Myung Kuk Yoon, Keunsoo Kim, Sangpil Lee, Won Woo Ro, Murali Annavaram

Proceedings of the 43rd ACM/IEEE Annual International Symposium on Computer Architecture, 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

Proceedings of the 43rd ACM/IEEE Annual International Symposium on Computer Architecture, 2016

APRES: Improving Cache Efficiency by Exploiting Load Characteristics on GPUs.

Yunho Oh, Keunsoo Kim, Myung Kuk Yoon, Jong Hyun Park, Yongjun Park, Won Woo Ro, Murali Annavaram

Proceedings of the 43rd ACM/IEEE Annual International Symposium on Computer Architecture, 2016

Origami: Folding Warps for Energy Efficient GPUs.

Mohammad Abdel-Majeed, Daniel Wong, Justin Kuang, Murali Annavaram

Proceedings of the 2016 International Conference on Supercomputing, 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

Proceedings of the 2016 IEEE International Symposium on High Performance Computer Architecture, 2016

Approximating warps with intra-warp operand value similarity.

Daniel Wong, Nam Sung Kim, Murali Annavaram

Proceedings of the 2016 IEEE International Symposium on High Performance Computer Architecture, 2016

2015

A privacy mechanism for mobile-based urban traffic monitoring.

Chi Wang, Hua Liu, Kwame-Lante Wright, Bhaskar Krishnamachari, Murali Annavaram

Pervasive Mob. Comput., 2015

GPU register file virtualization.

Hyeran Jeon, Gokul Subramanian Ravi, Nam Sung Kim, Murali Annavaram

Proceedings of the 48th International Symposium on Microarchitecture, 2015

Warped-compression: enabling power efficient GPUs through register compression.

Sangpil Lee, Keunsoo Kim, Gunjae Koo, Hyeran Jeon, Won Woo Ro, Murali Annavaram

Proceedings of the 42nd Annual International Symposium on Computer Architecture, 2015

Revealing Critical Loads and Hidden Data Locality in GPGPU Applications.

Gunjae Koo, Hyeran Jeon, Murali Annavaram

Proceedings of the 2015 IEEE International Symposium on Workload Characterization, 2015

A Retrospective Look Back on the Road Towards Energy Proportionality.

Daniel Wong, Julia Chen, Murali Annavaram

Proceedings of the 2015 IEEE International Symposium on Workload Characterization, 2015

Warped-RE: Low-Cost Error Detection and Correction in GPUs.

Mohammad Abdel-Majeed, Waleed Dweik, Hyeran Jeon, Murali Annavaram

Proceedings of the 45th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2015

2014

Extremely Low Cost Error Protection with Correctable Parity Protected Cache.

Mehrtash Manoochehri, Murali Annavaram, Michel Dubois

IEEE Trans. Computers, 2014

Efficient RAS support for die-stacked DRAM.

Hyeran Jeon, Gabriel H. Loh, Murali Annavaram

Proceedings of the 2014 International Test Conference, 2014

Graph processing on GPUs: Where are the bottlenecks?

Qiumin Xu, Hyeran Jeon, Murali Annavaram

Proceedings of the 2014 IEEE International Symposium on Workload Characterization, 2014

Implications of high energy proportional servers on cluster-wide energy proportionality.

Daniel Wong, Murali Annavaram

Proceedings of the 20th IEEE International Symposium on High Performance Computer Architecture, 2014

Warped-Shield: Tolerating Hard Faults in GPGPUs.

Waleed Dweik, Mohammad Abdel-Majeed, Murali Annavaram

Proceedings of the 44th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2014

Reliability-Aware Exceptions: Tolerating intermittent faults in microprocessor array structures.

Waleed Dweik, Murali Annavaram, Michel Dubois

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2014

PATS: pattern aware scheduling and power gating for GPGPUs.

Qiumin Xu, Murali Annavaram

Proceedings of the International Conference on Parallel Architectures and Compilation, 2014

2013

NFRA: Generalized Network Flow-Based Resource Allocation for Hosting Centers.

Kimish Patel, Murali Annavaram, Massoud Pedram

IEEE Trans. Computers, 2013

Scaling the Energy Proportionality Wall with KnightShift.

Daniel Wong, Murali Annavaram

IEEE Micro, 2013

Warped gates: gating aware scheduling and power gating for GPGPUs.

Mohammad Abdel-Majeed, Daniel Wong, Murali Annavaram

Proceedings of the 46th Annual IEEE/ACM International Symposium on Microarchitecture, 2013

Warped register file: A power efficient register file for GPGPUs.

Mohammad Abdel-Majeed, Murali Annavaram

Proceedings of the 19th IEEE International Symposium on High Performance Computer Architecture, 2013

PHYS: Profiled-HYbrid Sampling for soft error reliability benchmarking.

Jinho Suh, Murali Annavaram, Michel Dubois

Proceedings of the 2013 43rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2013

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

KNOWME: An Energy-Efficient Multimodal Body Area Network for Physical Activity Monitoring.

Gautam Thatte, Ming Li, Sangwon Lee, B. Adar Emken, Shrikanth S. Narayanan, Urbashi Mitra, Donna Spruijt-Metz, Murali Annavaram

ACM Trans. Embed. Comput. Syst., 2012

KNOWME: a case study in wireless body area sensor network design.

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

IEEE Commun. Mag., 2012

Semi-Markov state estimation and policy optimization for energy efficient mobile sensing.

Yi Wang, Bhaskar Krishnamachari, Murali Annavaram

Proceedings of the 9th Annual IEEE Communications Society Conference on Sensor, 2012

Warped-DMR: Light-weight Error Detection for GPGPU.

Hyeran Jeon, Murali Annavaram

Proceedings of the 45th Annual IEEE/ACM International Symposium on Microarchitecture, 2012

KnightShift: Scaling the Energy Proportionality Wall through Server-Level Heterogeneity.

Daniel Wong, Murali Annavaram

Proceedings of the 45th Annual IEEE/ACM International Symposium on Microarchitecture, 2012

A case for 3D stacked analog circuits in high-speed sensing systems.

Mohammad Abdel-Majeed, Mike Chen, Murali Annavaram

Proceedings of the Thirteenth International Symposium on Quality Electronic Design, 2012

Wireless Body Area Networks: Where does energy go?

Sangwon Lee, Murali Annavaram

Proceedings of the 2012 IEEE International Symposium on Workload Characterization, 2012

Benchmarking ISA reliability to intermittent errors.

Melina Demertzi, Bardia Zandian, Ricardo Rojas, Murali Annavaram

Proceedings of the 2012 IEEE International Symposium on Workload Characterization, 2012

MACAU: A Markov model for reliability evaluations of caches under Single-bit and Multi-bit Upsets.

Jinho Suh, Murali Annavaram, Michel Dubois

Proceedings of the 18th IEEE International Symposium on High Performance Computer Architecture, 2012

2011

Optimal Time-Resource Allocation for Energy-Efficient Physical Activity Detection.

Gautam Thatte, Ming Li, Sangwon Lee, B. Adar Emken, Murali Annavaram, Shrikanth S. Narayanan, Donna Spruijt-Metz, Urbashi Mitra

IEEE Trans. Signal Process., 2011

Soft error benchmarking of L2 caches with PARMA.

Jinho Suh, Mehrtash Manoochehri, Murali Annavaram, Michel Dubois

Proceedings of the SIGMETRICS 2011, 2011

CPPC: correctable parity protected cache.

Mehrtash Manoochehri, Murali Annavaram, Michel Dubois

Proceedings of the 38th International Symposium on Computer Architecture (ISCA 2011), 2011

Analyzing the effects of compiler optimizations on application reliability.

Melina Demertzi, Murali Annavaram, Mary W. Hall

Proceedings of the 2011 IEEE International Symposium on Workload Characterization, 2011

A case for guarded power gating for multi-core processors.

Niti Madan, Alper Buyuktosunoglu, Pradip Bose, Murali Annavaram

Proceedings of the 17th International Conference on High-Performance Computer Architecture (HPCA-17 2011), 2011

Modeling high-level descriptions of real-life physical activities using latent topic modeling of multimodal sensor signals.

Samuel Kim, Ming Li, Sangwon Lee, Urbashi Mitra, B. Adar Emken, Donna Spruijt-Metz, Murali Annavaram, Shrikanth S. Narayanan

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Cross-layer resilience using wearout aware design flow.

Bardia Zandian, Murali Annavaram

Proceedings of the 2011 IEEE/IFIP International Conference on Dependable Systems and Networks, 2011

2010

Adaptive and Speculative Slack Simulations of CMPs on CMPs.

Jianwei Chen, Lakshmi Kumar Dabbiru, Daniel Wong, Murali Annavaram, Michel Dubois

Proceedings of the 43rd Annual IEEE/ACM International Symposium on Microarchitecture, 2010

Guarded Power Gating in a Multi-core Setting.

Niti Madan, Alper Buyuktosunoglu, Pradip Bose, Murali Annavaram

Proceedings of the Computer Architecture, 2010

KnightShift: Shifting the I/O Burden in Datacenters to Management Processor for Energy Efficiency.

Sabyasachi Ghosh, Mark Redekopp, Murali Annavaram

Proceedings of the Computer Architecture, 2010

Markov-optimal sensing policy for user state estimation in mobile devices.

Yi Wang, Bhaskar Krishnamachari, Qing Zhao, Murali Annavaram

Proceedings of the 9th International Conference on Information Processing in Sensor Networks, 2010

WearMon: Reliability monitoring using adaptive critical path testing.

Bardia Zandian, Waleed Dweik, Suk Hun Kang, Thomas Punihaole, Murali Annavaram

Proceedings of the 2010 IEEE/IFIP International Conference on Dependable Systems and Networks, 2010

2009

SlackSim: a platform for parallel simulations of CMPs on CMPs.

Jianwei Chen, Murali Annavaram, Michel Dubois

SIGARCH Comput. Archit. News, 2009

A framework of energy efficient mobile sensing for automatic user state recognition.

Yi Wang, Jialiu Lin, Murali Annavaram, Quinn Jacobson, Jason I. Hong, Bhaskar Krishnamachari, Norman M. Sadeh

Proceedings of the 7th International Conference on Mobile Systems, 2009

The Tradeoff between Energy Efficiency and User State Estimation Accuracy in Mobile Sensing.

Yi Wang, Bhaskar Krishnamachari, Qing Zhao, Murali Annavaram

Proceedings of the Mobile Computing, Applications, and Services, 2009

Tolerance of performance degrading faults for effective yield improvement.

Tong-Yu Hsieh, Melvin A. Breuer, Murali Annavaram, Sandeep K. Gupta, Kuen-Jong Lee

Proceedings of the 2009 IEEE International Test Conference, 2009

Exploiting Simulation Slack to Improve Parallel Simulation Speed.

Jianwei Chen, Murali Annavaram, Michel Dubois

Proceedings of the ICPP 2009, 2009

Optimal Allocation of Time-Resources for Multihypothesis Activity-Level Detection.

Gautam Thatte, Viktor Rozgic, Ming Li, Sabyasachi Ghosh, Urbashi Mitra, Shrikanth S. Narayanan, Murali Annavaram, Donna Spruijt-Metz

Proceedings of the Distributed Computing in Sensor Systems, 2009

Optimal time-resource allocation for activity-detection via multimodal sensing.

Gautam Thatte, Viktor Rozgic, Ming Li, Sabyasachi Ghosh, Urbashi Mitra, Shrikanth S. Narayanan, Murali Annavaram, Donna Spruijt-Metz

Proceedings of the 4th International ICST Conference on Body Area Networks, 2009

2008

Game theoretic approach to location sharing with privacy in a community-based mobile safety application.

Hua Liu, Bhaskar Krishnamachari, Murali Annavaram

Proceedings of the 11th International Symposium on Modeling Analysis and Simulation of Wireless and Mobile Systems, 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

Proceedings of the 6th International Conference on Mobile Systems, 2008

2007

Implications of Device Timing Variability on Full Chip Timing.

Murali Annavaram, Ed Grochowski, Paul Reed

Proceedings of the 13st International Conference on High-Performance Computer Architecture (HPCA-13 2007), 2007

2006

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, Sadasivan Shankar, John Paul Shen, Clair Webb

Proceedings of the 39th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO-39 2006), 2006

2005

Mitigating Amdahl's Law through EPI Throttling.

Murali Annavaram, Ed Grochowski, John Paul Shen

Proceedings of the 32st International Symposium on Computer Architecture (ISCA 2005), 2005

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

The Fuzzy Correlation between Code and Performance Predictability.

Murali Annavaram, Ryan N. Rakvic, Marzia Polito, Jean-Yves Bouguet, Richard A. Hankins, Bob Davies

Proceedings of the 37th Annual International Symposium on Microarchitecture (MICRO-37 2004), 2004

2003

Call graph prefetching for database applications.

Murali Annavaram, Jignesh M. Patel, Edward S. Davidson

ACM Trans. Comput. Syst., 2003

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

Proceedings of the 36th Annual International Symposium on Microarchitecture, 2003

2002

Branch Behavior of a Commercial OLTP Workload on Intel IA32 Processors.

Murali Annavaram, Trung A. Diep, John Paul Shen

Proceedings of the 20th International Conference on Computer Design (ICCD 2002), 2002

2001

Prefetch mechanisms that acquire and exploit application specific knowledge.

Murali Annavaram

PhD thesis, 2001

Data prefetching by dependence graph precomputation.

Murali Annavaram, Jignesh M. Patel, Edward S. Davidson

Proceedings of the 28th Annual International Symposium on Computer Architecture, 2001

2000

Instruction overhead and data locality effects in superscalar processors.

Murali Annavaram, Gary S. Tyson, Edward S. Davidson

Proceedings of the 2000 IEEE International Symposium on Performance Analysis of Systems and Software, 2000

1996

Comparison of two storage models in data-driven multithreaded architectures.

Murali Annavaram, Walid A. Najjar

Proceedings of the Eighth IEEE Symposium on Parallel and Distributed Processing, 1996