Srinivas Sridharan
Nvidia (United States)(US)
Publications by Year
Research Areas
Parallel Computing and Optimization Techniques, Particle physics theoretical and experimental studies, Quantum Chromodynamics and Particle Interactions, Advanced Neural Network Applications, High-Energy Particle Collisions Research
Most-Cited Works
- → Software-hardware co-design for fast and scalable training of deep learning recommendation models(2022)122 cited
- → Mixed Precision Training of Convolutional Neural Networks using Integer Operations(2018)114 cited
- → ASTRA-SIM: Enabling SW/HW Co-Design Exploration for Distributed DL Training Platforms(2020)58 cited
- → Deep Learning Training in Facebook Data Centers: Design of Scale-up and Scale-out Systems(2020)54 cited
- → ASTRA-sim2.0: Modeling Hierarchical Networks and Disaggregated Systems for Large-model Training at Scale(2023)48 cited
- → Enabling Efficient Multithreaded MPI Communication through a Library-Based Implementation of MPI Endpoints(2014)39 cited
- → Enabling Compute-Communication Overlap in Distributed Deep Learning Training Platforms(2021)37 cited
- Thread Migration to Improve Synchronization Performance(2006)
- → Comparing Runtime Systems with Exascale Ambitions Using the Parallel Research Kernels(2016)21 cited
- → On Scale-out Deep Learning Training for Cloud and HPC(2018)19 cited