Advancing Computing's Foundation of US Industry & Society
Thomas M. Conte, Ian T. Foster, William Gropp, and Mark D. Hill

TL;DR
This paper emphasizes the need for new computing approaches beyond Moore's Law to sustain IT's transformative impact on US society, especially in AI, medicine, and industry, amid the end of traditional hardware scaling.
Contribution
It advocates for a multipronged effort to develop innovative computing methods beyond Moore's Law to support future AI and societal advancements.
Findings
Highlighting the importance of hardware-software synergy in AI progress
Identifying the end of Moore's Law as a challenge for future computing
Proposing a strategic approach for next-generation computing development
Abstract
While past information technology (IT) advances have transformed society, future advances hold even greater promise. For example, we have only just begun to reap the changes from artificial intelligence (AI), especially machine learning (ML). Underlying IT's impact are the dramatic improvements in computer hardware, which deliver performance that unlock new capabilities. For example, recent successes in AI/ML required the synergy of improved algorithms and hardware architectures (e.g., general-purpose graphics processing units). However, unlike in the 20th Century and early 2000s, tomorrow's performance aspirations must be achieved without continued semiconductor scaling formerly provided by Moore's Law and Dennard Scaling. How will one deliver the next 100x improvement in capability at similar or less cost to enable great value? Can we make the next AI leap without 100x better…
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Taxonomy
TopicsBig Data and Business Intelligence
