Workshop Overview

About the Workshop

Recent advances in AI have influenced nearly all domains of science and engineering research. The spectrum is surprisingly broad: starting from traditional scientific simulation, natural language processing, material science, medical diagnostics, drug discovery and last but not the least, computer software and systems. In its second iteration, our focus remains largely in the same direction, that is, to explore the new-found synergies between High Performance Computing (HPC) and Artificial Intelligence (AI), emphasizing the advancements, challenges and future directions in two domains that have long shared symbiotic relationship - scientific computing and computer systems. Participants will engage in discussions about state-of-the art technologies, share experiences and foster collaborations to drive innovation in these interdisciplinary fields.

Goals

The goals of this workshop is to:

  • Provide a platform to bring together academic researchers and industry practitioners in the areas of HPC, Software & Systems evaluating the use of AI/ML to foster dialogue and solve problems in these domains.
  • Highlight cutting-edge research and practical applications that leverage the intersection of HPC, Systems and AI.
  • To provide a platform for sharing knowledge about new tools, techniques, and best practices.
  • Discuss the challenges in integrating HPC with AI and propose potential solutions.
  • To identify future research directions and encourage collaborative efforts to advance the field.
Previous Edition

Previous Edition

The second edition of AI-SPC workshop was successfully held at HiPC 2025. You can access the proceedings and papers from the inaugural workshop at the IEEE Xplore Digital Library.

IEEE Xplore Digital Library
Timeline

Important Dates and Submission Link

September
01
Submission Site Opens
Paper submission system becomes available
October
15
Paper Submissions Due
Final deadline for paper submissions
November
01
Author Notification
Authors notified of acceptance status
November
08
Advance Program
Workshop program published
November
15
Camera-Ready Due
Final camera-ready versions due
December
16
Workshop Day
AI-SPC 2026 Workshop at HiPC
Call for Papers

Call for Papers

What to Submit

The workshop invites submissions (though not limited to) in the following areas:

State of the Art in HPC & AI Integration

Overview of current technologies and methodologies where HPC meets AI. Case studies demonstrating successful integration in scientific research and industry.

HPC for AI: Accelerating Learning and Inference

Utilizing HPC to accelerate AI training and inference times. Benchmarking performance gains in AI applications through HPC.

Large scale I/O and Analytics

Challenges in handling big data with HPC and AI. Techniques for efficient data storage, retrieval, and processing at scale.

HPC-AI for Scientific Discovery

Applications of AI for simulation and modeling in scientific domains such as computational fluid dynamics, climate modeling, astrophysics, and bioinformatics. Leveraging HPC for the larger areas of Scientific Machine Learning (neural network-driven scientific research). Few such focus areas are: Physics Informed Neural Network (PINN), AI assisted Data Driven Weather Modelling.

Future Directions and Emerging Technologies, Hardware and Software Design

Machine learning in compiler optimization, auto tuning, software & hardware performance optimization. Discussion on the upcoming trends at the nexus of HPC and AI. Anticipating future challenges and opportunities in hardware and software developments.

Program Chairs

Program Chairs

Committee

Technical Program Committee

Angshul Majumdar

IIIT Delhi

Kalyan Venkata T.

IIT Ropar

Suraj Pawar

Shell

Ramachandran Arun Coimbatore

AMD

Saumil Merchant

Shell

Sumit Kumar Mondal

IISc

Debiprasanna Sahoo

IIT Bhubaneswar

Sheel Sindhu Manohar

Shiv Nadar University

Gnanabaskaran Muthumani

AMD

Program

Workshop Program

TBD
Advanced Program

Advanced Program

Keynote Speaker

Anto Ajay Raj John, Senior Manager, IBM

Brief Bio: : Anto John is a senior manager for AI on IBM Z. He has spent more that 20 years in industry: leading engineering, product management teams. He has been working on AI projects for the past 10 years in various capacity. He was one of the core team members of the IBM BlueGene/Q supercomputer. He was the performance architect for IBM Power Systems for AI with Nvidia GPUs. He is currently managing a team, working towards the next-generation Spyre AI stack for IBM Z and Power. He is also a senior inventor with 16 granted patents.