The Future of HPC and AI

In recent years, the world of HPC has seen two challenges. One is the end of Moore's law, the other is the impact of AI. Both will change the world of HPC as we know it. In this paper, we explore the state of HCP and AI. Looking into AI, we investigate issues of sustainability, scalability and performance. We touch on issues of precision that are relevant for classical simulations but not for AI. Given the end of Moore's law we look into new architectures that might help to continue the path of HPC. Showing a common path for HPC and AI, we present a concept which we call “Digital Convergence”, bringing together HPC and AI to solve real-world problems. We finally present a number of real-world problems that can benefit from the concept of Digital Convergence.

Authors

Institutions

Publication Details

Published
2025-02-13
DOI
https://doi.org/10.1109/ic363308.2025.10956516
Citations
2
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
2.97
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Future of HPC and AI

Dennis Hoppe, Johannes Gebert, Michael Resch
2 citations
Distributed and Parallel Computing Systems
2.97
article

The Future of HPC and AI

Dennis Hoppe, Johannes Gebert, Michael Resch
article en
2 citations

Abstract

In recent years, the world of HPC has seen two challenges. One is the end of Moore's law, the other is the impact of AI. Both will change the world of HPC as we know it. In this paper, we explore the state of HCP and AI. Looking into AI, we investigate issues of sustainability, scalability and performance. We touch on issues of precision that are relevant for classical simulations but not for AI. Given the end of Moore's law we look into new architectures that might help to continue the path of HPC. Showing a common path for HPC and AI, we present a concept which we call “Digital Convergence”, bringing together HPC and AI to solve real-world problems. We finally present a number of real-world problems that can benefit from the concept of Digital Convergence.

University of Stuttgart (DE)
Openalex Percentile: Top 9%
Distributed and Parallel Computing Systems
2.97
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.