ARC-LG @ ISCA 2024

ARC-LG: New Approaches for Addressing the Computing Requirements of LLMs and GNNs.
In conjunction with ISCA 2024
June 30, 2024 @ Buenos Aires, Argentina

https://llm-gnn.org/

Overview:
Training and deployment of huge machine learning models, such as GPT, Llama, or large GNNs, require a vast amount of compute resources, power, storage, memory. The size of such models is growing exponentially, as is the training time and the resources required. The cost to train large foundation models has become prohibitive for everyone but very few large players. While the challenges are most visible in training, similar considerations apply to deploying and serving large foundation models for a large user base.
The proposed workshop aims to bring together AI/ML researchers, computer architects, and engineers working on a range of topics focused on training and serving large ML models. The workshop will provide a forum for presenting and exchanging new ideas and experiences in this area and to discuss and explore hardware/software techniques and tools to lower the significant barrier of entry in the computation requirements of AI foundation models.
We are seeking innovative, evolutionary and revolutionary ideas around software and hardware architectures for training such challenging models and strive to present and discuss new approaches that may lead to alternative solutions.

Submissions:
Authors can submit either 8-page full papers or up to 4-page short papers. In the short paper format, out-of-the box ideas and position papers are especially encouraged.  See the website for submission details.

Topics:
The workshop will present original works in areas such as (but not inclusive to): workload characterization, inference serving at scale, distributed training, novel networking and interconnect approaches for large AI/ML workloads, addressing resilience of large training runs, data reduction techniques, better model partitioning, data formats and precision, efficient hardware and competitive accelerators.

Important dates: All times below are 11:59 pm (anywhere on earth):

• Paper submission due:  April 22, 2024
• Acceptance notification: May 10, 2024
• Workshop date: June 30, 2024