Srinivas Sridharan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
25
Venues
13
Active years
2007–2026
Best venue rank
A*
Where they publish
Papers
25 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | EuroSys | Maya: Optimizing Deep Learning Training Workloads using GPU Runtime Emulation. | Srihas Yarlagadda, Amey Agrawal, Elton Pinto, Hakesh Darapaneni, Mitali Meratwal, Shivam Mittal, Pranavi Bajjuri, Srinivas Sridharan, Alexey Tumanov |
| 2026 | ISCA | Scalable Synthesis of Distributed Llm Workloads Through Symbolic Tensor Graphs. | Changhai Man, Joongun Park, Hanjiang Wu, Huan Xu, Srinivas Sridharan, Tushar Krishna |
| 2024 | HOTI | Towards a Standardized Representation for Deep Learning Collective Algorithms. | Jinsun Yoo, William Won, Meghan Cowan, Nan Jiang, Benjamin Klenk, Srinivas Sridharan, Tushar Krishna |
| 2023 | ISCA | Mystique: Enabling Accurate and Scalable Generation of Production AI Benchmarks. | Mingyu Liang, Wenyin Fu, Louis Feng, Zhongyi Lin, Pavani Panakanti, Shengbao Zheng, Srinivas Sridharan, Christina Delimitrou |
| 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 |
| 2023 | NSDI | Better Together: Jointly Optimizing ML Collective Scheduling and Execution Planning using SYNDICATE. | Kshiteej Mahajan, Ching-Hsiang Chu, Srinivas Sridharan, Aditya Akella |
| 2022 | HOTI | Impact of RoCE Congestion Control Policies on Distributed Training of DNNs. | Tarannum Khan, Saeed Rashidi, Srinivas Sridharan, Pallavi Shurpali, Aditya Akella, Tushar Krishna |
| 2022 | ISCA | Software-hardware co-design for fast and scalable training of deep learning recommendation models. | Dheevatsa Mudigere, Yuchen Hao, Jianyu Huang, Zhihao Jia, Andrew Tulloch, Srinivas Sridharan, Xing Liu, Mustafa Ozdal, Jade Nie, Jongsoo Park, Liang Luo, Jie Amy Yang, Leon Gao, Dmytro Ivchenko, Aarti Basant, Yuxi Hu, Jiyan Yang, Ehsan K. Ardestani, Xiaodong Wang, Rakesh Komuravelli, Ching-Hsiang Chu, Serhat Yilmaz, Huayu Li, Jiyuan Qian, Zhuobo Feng, Yinbin Ma, Junjie Yang, Ellie Wen, Hong Li, Lin Yang, Chonglin Sun, Whitney Zhao, Dimitry Melts, Krishna Dhulipala, K. R. Kishore, Tyler Graf, Assaf Eisenman, Kiran Kumar Matam, Adi Gangidi, Guoqiang Jerry Chen, Manoj Krishnan, Avinash Nayak, Krishnakumar Nair, Bharath Muthiah, Mahmoud khorashadi, Pallab Bhattacharya, Petr Lapukhov, Maxim Naumov, Ajit Mathews, Lin Qiao, Mikhail Smelyanskiy, Bill Jia, Vijay Rao |
| 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 |
| 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 |
| 2020 | HOTI | Scalable Distributed Training of Recommendation Models: An ASTRA-SIM + NS3 case-study with TCP/IP transport. | Saeed Rashidi, Pallavi Shurpali, Srinivas Sridharan, Naader Hassani, Dheevatsa Mudigere, Krishnakumar Nair, Misha Smelyanskiy, 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 |
| 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 | ICLR | Mixed Precision Training of Convolutional Neural Networks using Integer Operations. | Dipankar Das, Naveen Mellempudi, Dheevatsa Mudigere, Dhiraj D. Kalamkar, Sasikanth Avancha, Kunal Banerjee, Srinivas Sridharan, Karthik Vaidyanathan, Bharat Kaul, Evangelos Georganas, Alexander Heinecke, Pradeep Dubey, Jess Corbal, Nikita Shustrov, Roman Dubtsov, Evarist Fomenko, Vadim O. Pirogov |
| 2017 | ICDE | Automated Personalized Feedback in Introductory Java Programming MOOCs. | Victor J. Marin, Tobin Pereira, Srinivas Sridharan, Carlos R. Rivero |
| 2017 | IUI | Sensor-based Methodological Observations for Studying Online Learning. | Ashley A. Edwards, Anthony Massicci, Srinivas Sridharan, Joe Geigel, Linwei Wang, Reynold J. Bailey, Cecilia Ovesdotter Alm |
| 2017 | SC | Deep learning at 15PF: supervised and semi-supervised classification for scientific data. | Thorsten Kurth, Jian Zhang, Nadathur Satish, Evan Racah, Ioannis Mitliagkas, Md. Mostofa Ali Patwary, Tareq M. Malas, Narayanan Sundaram, Wahid Bhimji, Mikhail Smorkalov, Jack Deslippe, Mikhail Shiryaev, Srinivas Sridharan, Prabhat, Pradeep Dubey |
| 2016 | ETRA | Gaze guidance for improved password recollection. | Srinivas Sridharan, Brendan John, Darrel Pollard, Reynold J. Bailey |
| 2014 | ETRA | Collaborative eye tracking for image analysis. | Brendan John, Srinivas Sridharan, Reynold J. Bailey |
| 2014 | SC | Enabling Efficient Multithreaded MPI Communication through a Library-Based Implementation of MPI Endpoints. | Srinivas Sridharan, James Dinan, Dhiraj D. Kalamkar |
| 2013 | ICAIL | Software tools for the visualization of definition networks in legal contracts. | Michael Curtotti, Eric McCreath, Srinivas Sridharan |
| 2012 | ETRA | Impact of subtle gaze direction on short-term spatial information recall. | Reynold J. Bailey, Ann McNamara, Aaron Costello, Srinivas Sridharan, Cindy Grimm |
| 2012 | ETRA | Subtle gaze manipulation for improved mammography training. | Srinivas Sridharan, Ann McNamara, Cindy Grimm |
| 2012 | SC | Extending the BT NAS parallel benchmark to exascale computing. | Rob F. Van der Wijngaart, Srinivas Sridharan, Victor W. Lee |
| 2007 | SPAA | Evaluating synchronization techniques for light-weight multithreaded/multicore architectures. | Srinivas Sridharan, Arun Rodrigues, Peter M. Kogge |