• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 63 matches

• 2024
• 
  Meng Wang, Bo Fang, Ang Li, Prashant J. Nair:
  Red-QAOA: Efficient Variational Optimization through Circuit Reduction. ASPLOS (2) 2024: 980-998
• 
  Muhammad Adnan, Yassaman Ebrahimzadeh Maboud, Divya Mahajan, Prashant J. Nair:
  Heterogeneous Acceleration Pipeline for Recommendation System Training. ISCA 2024: 1063-1079
• 
  Muhammad Adnan, Akhil Arunkumar, Gaurav Jain, Prashant J. Nair, Ilya Soloveychik, Purushotham Kamath:
  Keyformer: KV Cache reduction through key tokens selection for Efficient Generative Inference. MLSys 2024
• 
  Muhammad Adnan, Akhil Arunkumar, Gaurav Jain, Prashant J. Nair, Ilya Soloveychik, Purushotham Kamath:
  Keyformer: KV Cache Reduction through Key Tokens Selection for Efficient Generative Inference. CoRR abs/2403.09054 (2024)
• 
  Yassaman Ebrahimzadeh Maboud, Muhammad Adnan, Divya Mahajan, Prashant J. Nair:
  Accelerating Recommender Model Training by Dynamically Skipping Stale Embeddings. CoRR abs/2404.04270 (2024)
• 
  Muhammad Adnan, Amar Phanishayee, Janardhan Kulkarni, Prashant J. Nair, Divya Mahajan:
  Workload-Aware Hardware Accelerator Mining for Distributed Deep Learning Training. CoRR abs/2404.14632 (2024)
• 
  Anjali Sureshkumar Nair, Prashant Nitnaware:
  Development of Multistage Machine Learning Classifier using Decision Trees and Boosting Algorithms over Darknet Network Traffic. CoRR abs/2407.15910 (2024)
• 2023
• 
  Gwangeun Byeon, Seungtae Lee, Seongwook Kim, Yongjun Kim, Prashant J. Nair, Seokin Hong:
  SparseFT: Sparsity-aware Fault Tolerance for Reliable CNN Inference on GPUs. PACT 2023: 337-338
• 
  Dingqing Yang, Prashant J. Nair, Mieszko Lis:
  HuffDuff: Stealing Pruned DNNs from Sparse Accelerators. ASPLOS (2) 2023: 385-399
• 
  Jeonghyun Woo, Gururaj Saileshwar, Prashant J. Nair:
  Scalable and Secure Row-Swap: Efficient and Safe Row Hammer Mitigation in Memory Systems. HPCA 2023: 374-389
• 
  Irene Wang, Prashant J. Nair, Divya Mahajan:
  FLuID: Mitigating Stragglers in Federated Learning using Invariant Dropout. NeurIPS 2023
• 
  Ali Asgari Khoshouyeh, Florian Geissler, Syed Sha Qutub, Michael Paulitsch, Prashant J. Nair, Karthik Pattabiraman:
  Structural Coding: A Low-Cost Scheme to Protect CNNs from Large-Granularity Memory Faults. SC 2023: 85:1-85:17
• 
  Meng Wang, Fei Hua, Chenxu Liu, Nicholas P. Bauman, Karol Kowalski, Daniel Claudino, Travis S. Humble, Prashant J. Nair, Ang Li:
  Enabling Scalable VQE Simulation on Leading HPC Systems. SC Workshops 2023: 1460-1467
• 
  Ajith N. Nair, Harshwardhan Tanwar, Pandarasamy Arjunan, Prashant Anand, Ardeshir Mahdavi:
  Explainable Occupancy Prediction Using QLattice. BuildSys@SenSys 2023: 543-549
• 
  Sneha K. H, Adhithya Sudeesh, Pramod P. Nair, Prashanth Suravajhala:
  Biologically inspired ChaosNet architecture for Hypothetical Protein Classification. CoRR abs/2302.02427 (2023)
• 
  Irene Wang, Prashant J. Nair, Divya Mahajan:
  FLuID: Mitigating Stragglers in Federated Learning using Invariant Dropout. CoRR abs/2307.02623 (2023)
• 
  Muhammad Adnan, Yassaman Ebrahimzadeh Maboud, Divya Mahajan, Prashant J. Nair:
  Ad-Rec: Advanced Feature Interactions to Address Covariate-Shifts in Recommendation Networks. CoRR abs/2308.14902 (2023)
• 
  Bo Fang, Xinyi Li, Harvey Dam, Cheng Tan, Siva Kumar Sastry Hari, Timothy Tsai, Ignacio Laguna, Dingwen Tao, Ganesh Gopalakrishnan, Prashant J. Nair, Kevin J. Barker, Ang Li:
  MPGemmFI: A Fault Injection Technique for Mixed Precision GEMM in ML Applications. CoRR abs/2311.05782 (2023)
• 2022
• 
  Prashant R. Nair, Anbuudayasankar S. P., Sriram R. Devanathan, Raghuram R. P.:
  Empirical Investigation to Assess the Impact of ICT Deployment in SCM Using SEM. Int. J. Inf. Syst. Supply Chain Manag. 15(1): 1-13 (2022)
• 
  Prashant Kumar, Shivam Shakti, Naireet Datta, Shashwat Sinha, Partha Ghosh:
  Feature selection using PRACO method for IDS in cloud environment. J. Intell. Fuzzy Syst. 43(5): 5487-5500 (2022)
• 
  Gururaj Saileshwar, Bolin Wang, Moinuddin K. Qureshi, Prashant J. Nair:
  Randomized row-swap: mitigating Row Hammer by breaking spatial correlation between aggressor and victim rows. ASPLOS 2022: 1056-1069
• 
  Ali Fakhrzadehgan, Yale N. Patt, Prashant J. Nair, Moinuddin K. Qureshi:
  SafeGuard: Reducing the Security Risk from Row-Hammer via Low-Cost Integrity Protection. HPCA 2022: 373-386
• 
  Moinuddin K. Qureshi, Aditya Rohan, Gururaj Saileshwar, Prashant J. Nair:
  Hydra: enabling low-overhead mitigation of row-hammer at ultra-low thresholds via hybrid tracking. ISCA 2022: 699-710
• 
  Anish Saxena, Gururaj Saileshwar, Prashant J. Nair, Moinuddin K. Qureshi:
  AQUA: Scalable Rowhammer Mitigation by Quarantining Aggressor Rows at Runtime. MICRO 2022: 108-123
• 
  Meng Wang, Rui Huang, Swamit S. Tannu, Prashant J. Nair:
  TQSim: A Case for Reuse-Focused Tree-Based Quantum Circuit Simulation. CoRR abs/2203.13892 (2022)
• 
  Muhammad Adnan, Yassaman Ebrahimzadeh Maboud, Divya Mahajan, Prashant J. Nair:
  Heterogeneous Acceleration Pipeline for Recommendation System Training. CoRR abs/2204.05436 (2022)
• 
  Swamit S. Tannu, Prashant J. Nair:
  The Dirty Secret of SSDs: Embodied Carbon. CoRR abs/2207.10793 (2022)
• 
  Jeonghyun Woo, Gururaj Saileshwar, Prashant J. Nair:
  Scalable and Secure Row-Swap: Efficient and Safe Row Hammer Mitigation in Memory Systems. CoRR abs/2212.12613 (2022)
• 2021
• 
  Muhammad Adnan, Yassaman Ebrahimzadeh Maboud, Divya Mahajan, Prashant J. Nair:
  Accelerating Recommendation System Training by Leveraging Popular Choices. Proc. VLDB Endow. 15(1): 127-140 (2021)
• 
  Avilash Mukherjee, Kumar Saurav, Prashant J. Nair, Sudip Shekhar, Mieszko Lis:
  A Case for Emerging Memories in DNN Accelerators. DATE 2021: 938-941

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