1st Workshop on AI for Scientific and General Purpose Computing (AI-SPC)

31st IEEE International Conference on High Performance Computing, Data, & Analytics

Workshop date: Dec 18, 2024

In conjunction with the 31st IEEE International Conference on High-Performance Computing, Data, & Analytics (HiPC 2024)

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 this workshop we aim to explore the newfound 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.

The first edition of AI-SPC workshop will attempt to:

  1. 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.
  2. 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.
  3. 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.

Topics of interest of the AI-SPC workshop include, but are not limited to:

  1. HPC & AI Integration: technologies and methodologies where HPC meets AI. Case studies demonstrating successful integration.
  2. HPC for AI: Accelerating Learning and Inference
  3. Large scale I/O and Analytics: Challenges in handling big data with HPC and AI
  4. HPC-AI for Scientific Discovery
  5. 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 (for example: Physics Informed Neural Network (PINN), Neural Operators, Graph Neural surrogates etc.)
  6. Future Directions and Emerging Technologies: Hardware and Software Design Machine learning in compiler optimization, auto tuning, software & hardware performance optimization

AI-SPC Agenda:

2:00 –

2:10 pm

Opening remarks

2:10 –

3:00 pm

Keynote:
“Leveraging AI & HPC to Enable Angstrom-scale Manufacturing” – Pradeep Ramachandran, Director and Head of Research at KLA

3:00 –

3:20 pm

AI-based Multimodel Superensemble for Improved Weather Prediction: Karan Purohit (IISc), Mitali Sinha (Shell), Ravi S Nanjundiah (IISc)

3:20 –

3:40 pm

Objects Detection using hybrid YOLO approach in adverse weather and lightning conditions:
Saritha A N,  Basavaraj Talawar (All authors from NITK Surathkal)

3:40 –

4:00 pm

Distributed Edge-to-Edge Collaborative Transfer Learning for Artificial Intelligence of Things services
Leena Sri R,  Bhavani G (All authors from Thiagarajar College of Engineering)

4:00 –

4:30 pm

Break

4:30 –

4:50 pm

SimGraph: A Scalable Physics-Informed Graph Neural Network-Based Smart Proxy for Reservoir Simulation Workflows
Subodh Madhav Joshi, Kaushik Koneripalli, Divyanshu Vyas, Kaushic Kalyanaraman (All authors from Shell)

4:50 –

5:10 pm

Comparing Accuracy and Consistency: LLMs vs. SOTA Pre-trained Models in Text-to-SQL
Aryan Sai Arvapelly, Sai Vignesh S, Sai Hemanth Sv, Pallav Kumar Baruah (All authors from Sri Sathya Sai Institute of Higher Learning)

5:10 –

5:30 pm

Predictive Modeling of Performance Variability in HPC Applications
Pratham Sahu, Preeti Malakar (All authors from IIT Kanpur)

5:30 –

6:00 pm

Panel: Impact of AI on Natural Sciences and Engineering

Moderator: Subhasis Banerjee / Aniruddha Panda

6:00 –

6:10 pm

Close out

Submission Guidelines:

Workshop will accept unpublished manuscripts and should not be under review for a different conference / journal / workshop. The manuscript must not exceed four (4) pages in single-spaced, 10pt, double column, IEEE conference style format. The submission should include title, author, affiliations, and email address of the communicating author. The workshop will follow single-blind review process by the Program Committee to review all submitted manuscripts. Manuscript can be submitted using the following link:

Submission Link: https://easychair.org/conferences/?conf=aispc2024

Important dates:

Submission site opens: September 1, 2024

Paper submission due: October 6, 2024 October 10,  AoE 

Author notification: October 20, 2024

Camera ready version submission: November 4, 2024

AI-SPC Organizing committee:

  • Workshop Co-chairs:

 Subhasis Banerjee, Shell

Pradeep Rao, AMD

  • Publicity Chair:

 Aniruddha Panda, Shell

Technical Program Committee:

  • Kalyan Venkata T., IIT-Ropar
  • Sougrangshu Bhattacharya, IIT-Kharagpur
  • Suman Roy, Oracle
  • Apala Guha, Microsoft
  • Venugopal Raghavan, AMD
  • Ratan Prasad, AMD
  • Arun C Ramachandran, AMD
  • Suraj Pawar, Shell
  • Angshul Majumdar, TCG Crest
  • Palash Das, IIT Jodhpur

Contact: For any question feel free to reach out to the following email: [email protected]

 

HiPC 2024 is the 31st edition of the IEEE International Conference on High Performance Computing, Data, and Analytics. It will be an in-person event in Bengaluru, India, from December 18 to December 21, 2024. 

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