[hpc-announce] Call for Papers: 2024 International Workshop on Large Language Models (LLMs) and HPC

[Aleksandr Drozd]

CALL FOR PAPERS
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LLMxHPC: 2024 International Workshop on Large Language Models (LLMs) and HPC

September 24, 2024 in Kobe, Japan
Co-hosted with the 2024 IEEE Cluster Conference

https://urldefense.us/v3/__https://llmhpc.github.io/2024/__;!!G_uCfscf7eWS!f0rtuD36wQQ6RfGk8tHj35Wzv3tGQhDpcrRNNo9UZl1D1uT8JwmCLcKBiQRImGnP_leUx-I6HEU5CIKQRr9tj57xz1dDogj24KM$ 

Submission deadline: June 19, 2024
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## WORKSHOP SCOPE

High-Performance Computing (HPC) systems have become critical for 
meeting the computational and data-intensive needs of training Large 
Language Models (LLMs). Simultaneously, in the domain of HPC research, 
LLMs are emerging as transformative tools to understand and improve HPC 
system productivity and efficiency. There are clear synergies between 
these areas and meaningful coordination of efforts holds great promise. 
This workshop brings together researchers and developers to explore the 
intersection of HPC and LLMs, offering a comprehensive look at how these 
two domains can mutually benefit and drive each other's advancement. The 
workshop has two key focus areas: (i) co-design and deployment of HPC 
systems to support LLM training and (ii) using LLMs to understand and 
optimize/tune HPC systems. A combination of paper presentations, panel 
discussion, and keynote will be included in the program to highlight 
salient research and development activities, promote diverse 
perspectives and visions, and stimulate discussion in the community.


## TOPICS

Topics to be covered in this workshop include, but are not limited to,
The computational and data needs of LLM training
- Exploring architectural advancements that support LLM training
- GPU-accelerated computing
     - High-bandwidth memory systems
     - Advanced networking capabilities
     - LLM-HPC co-design efforts
- Utilizing LLMs to improve HPC deployment and operations
- Analyzing extensive system logs for performance
     - Energy efficiency
     -Reliability
     - Fine-tuning complex HPC hardware and software stacks;
- HPC design space exploration using LLMs


## SUBMISSION GUIDELINES

We welcome novel research contributions in the topic areas discussed in 
the scope above. Papers should be submitted using the IEEE conference 
template in one of the following formats:
Full (or invited) paper (8 pages + 2 additional pages)
Short (or invited) paper (4 pages + 1 additional page

**Submission page
https://urldefense.us/v3/__https://easychair.org/conferences/?conf=llmxhpc2024__;!!G_uCfscf7eWS!f0rtuD36wQQ6RfGk8tHj35Wzv3tGQhDpcrRNNo9UZl1D1uT8JwmCLcKBiQRImGnP_leUx-I6HEU5CIKQRr9tj57xz1dD_KSQCyw$ 

**Important Dates

Submission Deadline: June 19, 2024
Author Notification: July 19, 2024
CLUSTER Author Registration: August 02, 2024
Camera Ready Deadline: August 09, 2024

PLEASE CHECK THE WORKSHOP'S WEBSITE FOR ADDITIONAL SUBMISSION DETAILS:

https://urldefense.us/v3/__https://llmhpc.github.io/2024/__;!!G_uCfscf7eWS!f0rtuD36wQQ6RfGk8tHj35Wzv3tGQhDpcrRNNo9UZl1D1uT8JwmCLcKBiQRImGnP_leUx-I6HEU5CIKQRr9tj57xz1dDogj24KM$ 


## ORGANIZERS

Kevin A. Brown (Argonne National Laboratory)
Tanwi Mallick (Argonne National Laboratory)
Juliane Mueller (National Renewable Energy Laboratory)
Aleksandr Drozd (RIKEN Center for Computational Science)

Organizers email: llmhpc-workshop at anl.gov