09:45AM to 10:30AM: Registration and Inauguration

10:30AM to 11:00AM: Keynote Speech by Dr Sharad Sinha, IIT Goa || slides || Recording ||

11:30AM to 1:00PM: How HPC Fuels AI/ML Growth by Dr Rupesh, IIT Madras || Slide || Recording ||

2:15PM to 3:45PM: Scale AI: Breaking the Compute-Memory Wall for AI Computation by Dr. Debiprasanna Sahoo, IIT Bhubaneswar || Slide || Recording ||

4:00PM to 5:30PM: ML Performance Optimization by Dr Damodar Reddy Edla, NIT Goa || Slide || Recording

09:45AM to 11:15AM: Overview of Parallelization Techniques on GPU by Dr Satish Puri, Marquette University || Slides || Recording

11:30AM to 1:00PM: Shared Memory Programming and Distributed Memory Programming by Dr. Preeti Malakar, IIT Kanpur || Slides || Recording

2:15PM to 3:45PM: Introduction to CUDA, Cuda/MPI, GPU Acceleration, and Overview of GPUs for Parallel Processing by Dr. Bheemappa, IIIT Sri City || Slides || Recording

4:00PM to 5:30PM: Parallelizing Algorithms with OpenMP, MPI, and CUDA by Dr. Bheemappa || Code ||

<<<<<<< HEAD

09:45AM to 11:15AM: Overview of AI/ML Frameworks by Dr. Ramalingaswamy Cheruku, NIT, Warangal

11:30AM to 1:00PM: High-Performance in AI/ML: Issues, Trends, and Challenges by Prof Panda, Ohio State University

2:15PM to 3:45PM: Advances in Deep Learning and Computer Vision by Dr. Abhijeet Borgule -Samsung Research Bangalore || slide <

4:00PM to 5:30PM: Hands-on Session: Implementation of DL Models on CPU and GPU Use Cases by Dr Rakesh Kumar, IIIT Sri City

=======

09:45AM to 11:15AM: Overview of AI/ML Frameworks by Dr. Ramalingaswamy Cheruku, NIT, Warangal || Slide || Recording ||

11:30AM to 1:00PM: High-Performance in AI/ML: Issues, Trends, and Challenges by Prof Panda, Ohio State University || Slide || Recording ||

2:15PM to 3:45PM: Advances in Deep Learning and Computer Vision by Dr. Abhijeet Borgule -Samsung Research Bangalore || || Recording ||

4:00PM to 5:30PM: Hands-on Session: Implementation of DL Models on CPU and GPU Use Cases by Dr Rakesh Kumar, IIIT Sri City || Slides || Code || Recording

>>>>>>> refs/remotes/origin/master

09:45AM to 11:15AM: An Overview of Parallelization Strategies for Shared Memory-based Multi/Many-core Systems by Dr. Dip Sankar Banerjee, IIT Jodhpur

11:30AM to 1:00PM: Towards the Trinity: HPC for AI, AI for HPC, and HPC-enabled AI for Science, Dr Subramoni Hari, Ohio State University || Slides || Slides ||

2:15PM to 3:45PM: Llama.lisp: Design of an AI-First Compiler Framework Mr Sasank Chilamkurthy || slide Recordings

4:00PM to 5:30PM: Setting up HPC Environments for AI/ML Acceleration. Hands-on Exercises for GPU by Dr. Bheemappa

09:45AM to 11:15AM: Leveraging Distributed HPC and Federated Learning for Scalable and Secure AI Solutions by Dr Bharath Ramesh,Western Sydney University

11:30AM to 1:00PM: Autonomous Vehicle Algorithms Acceleration using FPGAs by Dr Basavaraj Talawar, NIT Surthakal

2:15PM to 3:45PM: Graphs and HPC by Prof Kishore Kothapalli, IIIT Hyderabad

4:00PM to 5.OOPM Valedictory and Certificate Distribution