124 citations
- Intel (United States)US7 papers
- Georgia Institute of TechnologyUS5 papers
- ETH ZurichCH2 papers
- Indian Institute of Technology KharagpurIN2 papers
- Indian Institute of Technology MadrasIN2 papers
- Max Planck Institute for AstrophysicsDE2 papers
- Menlo SchoolUS2 papers
- Robert Bosch (India)IN2 papers
- Arizona State UniversityUS1 paper
- Astronomical Observatory of RomeIT1 paper
- Atlanta Technical CollegeUS1 paper
- California Southern UniversityUS1 paper
4 papers · 1 filter
MADRaS : Multi Agent Driving Simulator
Anirban Santara, Sohan Rudra, Sree Aditya Buridi +4
In this work, we present MADRaS, an open-source multi-agent driving simulator for use in the design and evaluation of motion planning algorithms for autonomous driving. MADRaS prov…
Measures of Complexity for Large Scale Image Datasets
Ameet Annasaheb Rahane, Anbumani Subramanian
Large scale image datasets are a growing trend in the field of machine learning. However, it is hard to quantitatively understand or specify how various datasets compare to each ot…
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights
Shail Dave, Riyadh Baghdadi, Tony Nowatzki +3
Machine learning (ML) models are widely used in many important domains. For efficiently processing these computational- and memory-intensive applications, tensors of these over-par…
Enabling Compute-Communication Overlap in Distributed Deep Learning Training Platforms
Saeed Rashidi, Matthew Denton, Srinivas Sridharan +4
Deep Learning (DL) training platforms are built by interconnecting multiple DL accelerators (e.g., GPU/TPU) via fast, customized interconnects with 100s of gigabytes (GBs) of bandw…