| 2025 | ISCA | FRED: A Wafer-scale Fabric for 3D Parallel DNN Training. | Saeed Rashidi, William Won, Sudarshan Srinivasan, Puneet Gupta, Tushar Krishna |
| 2024 | ISPASS | LIBRA: Enabling Workload-Aware Multi-Dimensional Network Topology Optimization for Distributed Training of Large AI Models. | William Won, Saeed Rashidi, Sudarshan Srinivasan, Tushar Krishna |
| 2024 | MICRO | TACOS: Topology-Aware Collective Algorithm Synthesizer for Distributed Machine Learning. | William Won, Midhilesh Elavazhagan, Sudarshan Srinivasan, Swati Gupta, Tushar Krishna |
| 2023 | DATE | A Novel Fault-Tolerant Architecture for Tiled Matrix Multiplication. | Sandeep Bal, Chandra Sekhar Mummidi, Victor da Cruz Ferreira, Sudarshan Srinivasan, Sandip Kundu |
| 2023 | ISPASS | ASTRA-sim2.0: Modeling Hierarchical Networks and Disaggregated Systems for Large-model Training at Scale. | William Won, Taekyung Heo, Saeed Rashidi, Srinivas Sridharan, Sudarshan Srinivasan, Tushar Krishna |
| 2022 | ICCD | A Highly-Efficient Error Detection Technique for General Matrix Multiplication using Tiled Processing on SIMD Architecture. | Chandra Sekhar Mummidi, Sandeep Bal, Brunno F. Goldstein, Sudarshan Srinivasan, Sandip Kundu |
| 2022 | ISCA | Themis: a network bandwidth-aware collective scheduling policy for distributed training of DL models. | Saeed Rashidi, William Won, Sudarshan Srinivasan, Srinivas Sridharan, Tushar Krishna |
| 2022 | SIGIR | Improving Efficiency and Robustness of Transformer-based Information Retrieval Systems. | Edmon Begoli, Sudarshan Srinivasan, Maria Mahbub |
| 2021 | ISCA | Enabling Compute-Communication Overlap in Distributed Deep Learning Training Platforms. | Saeed Rashidi, Matthew Denton, Srinivas Sridharan, Sudarshan Srinivasan, Amoghavarsha Suresh, Jade Nie, Tushar Krishna |
| 2021 | SP | Nomen est Omen - The Role of Signatures in Ascribing Email Author Identity with Transformer Neural Networks. | Sudarshan Srinivasan, Edmon Begoli, Maria Mahbub, Kathryn Knight |
| 2020 | HPCA | SIGMA: A Sparse and Irregular GEMM Accelerator with Flexible Interconnects for DNN Training. | Eric Qin, Ananda Samajdar, Hyoukjun Kwon, Vineet Nadella, Sudarshan Srinivasan, Dipankar Das, Bharat Kaul, Tushar Krishna |
| 2020 | ISPASS | ASTRA-SIM: Enabling SW/HW Co-Design Exploration for Distributed DL Training Platforms. | Saeed Rashidi, Srinivas Sridharan, Sudarshan Srinivasan, Tushar Krishna |
| 2020 | SC | Optimizing deep learning recommender systems training on CPU cluster architectures. | Dhiraj D. Kalamkar, Evangelos Georganas, Sudarshan Srinivasan, Jianping Chen, Mikhail Shiryaev, Alexander Heinecke |
| 2019 | CLUSTER | Training Google Neural Machine Translation on an Intel CPU Cluster. | Dhiraj D. Kalamkar, Kunal Banerjee, Sudarshan Srinivasan, Srinivas Sridharan, Evangelos Georganas, Mikhail E. Smorkalov, Cong Xu, Alexander Heinecke |
| 2018 | ICDE | Evaluating Text Analytic Frameworks for Mental Health Surveillance. | Benjamin Mayer, Joshua Arnold, Edmon Begoli, Everett Neil Rush, Michael Drewry, Kris Brown, Eduardo Ponce, Sudarshan Srinivasan |
| 2016 | ICCD | Improving performance per Watt of non-monotonic Multicore Processors via bottleneck-based online program phase classification. | Sudarshan Srinivasan, Israel Koren, Sandip Kundu |
| 2016 | VLSID | Dynamic Reconfiguration vs. DVFS: A Comparative Study on Power Efficiency of Processors. | Sudarshan Srinivasan, Nithesh Kurella, Israel Koren, Sandip Kundu |
| 2015 | ICCD | Online mechanism for reliability and power-efficiency management of a dynamically reconfigurable core. | Sudarshan Srinivasan, Israel Koren, Sandip Kundu |
| 2014 | ICSE | A systematic approach to transforming system requirements into model checking specifications. | Daniel Aceituna, Hyunsook Do, Sudarshan Srinivasan |
| 2014 | SC | A cleanup algorithm for implementing storage constraints in scientific workflow executions. | Sudarshan Srinivasan, Gideon Juve, Rafael Ferreira da Silva, Karan Vahi, Ewa Deelman |
| 2013 | ICCD | On dynamic polymorphing of a superscalar core for improving energy efficiency. | Sudarshan Srinivasan, Rance Rodrigues, Arunachalam Annamalai, Israel Koren, Sandip Kundu |
| 2013 | VLSID | Impact of Clock-Gating on Power Distribution Network Using Wavelet Analysis. | Vinay C. Patil, Sudarshan Srinivasan, Wayne P. Burleson, Sandip Kundu |
| 2012 | IOLTS | Cross-level protection of circuits against faults and malicious attacks. | Victor Tomashevich, Sudarshan Srinivasan, Fabian Foerg, Ilia Polian |