SIGNALInfrastructure Software·Jun 29, 2026, 10:58 PMSignal75Medium term

Jack Dongarra Discusses a Changing HPC World in ISC 2026 Closing Keynote

Source: HPCwire

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Jack Dongarra Discusses a Changing HPC World in ISC 2026 Closing Keynote

The HPC world is changing, according to Jack Dongarra, who delivered his first ever ISC keynote here in Hamburg, Germany on June 25. From changing hardware and software to the emergence of AI-based scientific techniques, the old order of HPC is being replaced by something new. The question is, how can HPC professionals chart a […] The post Jack Dongarra Discusses a Changing HPC World in ISC 2026 Closing Keynote appeared first on HPCwire .

Why this matters
Why now

Jack Dongarra, a prominent figure in High-Performance Computing (HPC), is delivering a keynote at ISC 2026, marking a recognized inflection point in the sector due to advancing hardware, software, and AI integration.

Why it’s important

The shift in HPC, driven by AI and evolving architectures, will redefine computational capabilities for scientific research, advanced industries, and potentially strategic national interests.

What changes

Traditional HPC paradigms are being replaced by new methodologies that incorporate AI-based techniques, necessitating a re-evaluation of infrastructure, skill sets, and operational strategies.

Winners
  • · AI hardware manufacturers
  • · AI software developers
  • · Cloud HPC providers
  • · Researchers leveraging AI for scientific discovery
Losers
  • · Legacy HPC system integrators
  • · Organizations slow to adopt AI in compute workflows
  • · Providers of non-AI specialized HPC services
Second-order effects
Direct

Increased investment in hardware and software optimized for AI-driven scientific computing.

Second

A widening gap in scientific and industrial productivity between nations or entities that embrace AI in HPC and those that do not.

Third

The development of new scientific fields and discoveries previously intractable without the integration of AI into high-performance computation.

Editorial confidence: 90 / 100 · Structural impact: 60 / 100
Original report

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