Retrospective on the Lax Report: Then and Now

Computing in Science & Engineering

Ewa Deelman; Jack Dongarra; Bruce Hendrickson; Amanda Randles; Daniel Reed; Edward Seidel

Streamline visualization of blood flow velocity within the human aortic arch, with vascular anatomy segmented from medical imaging and simulated using the HARVEY flow solver.

Summary

More than four decades after its release, the 1982 Lax Report remains a landmark blueprint for U.S. high-performance computing (HPC) policy. This retrospective revisits the report’s four principal recommendations, evaluating each on its current fulfillment. While the HPC ecosystem has matured through network advances, broader access, and the integration of artificial intelligence (AI) and distributed computing, gaps in workforce development, scientific software sustainability, and architectural innovation tailored to science needs remain. This article traces HPC’s evolution from centralized supercomputers to today’s cloud-augmented, AI-converged landscape and highlights how market-driven hardware design increasingly diverges from the needs of rigorous scientific computing. The article also calls for sustained public investment in hardware–software co-design, workforce pipelines, and open, science-centered infrastructure.

Citation

Deelman, Ewa, et al. “Retrospective on the Lax Report: Then and Now.” Computing in Science & Engineering (2025).

BibTex

@article{deelman2025retrospective, title={Retrospective on the Lax Report: Then and Now}, author={Deelman, Ewa and Dongarra, Jack and Hendrickson, Bruce and Randles, Amanda and Reed, Daniel and Seidel, Edward and Yelick, Katherine}, journal={Computing in Science \& Engineering}, year={2025}, publisher={IEEE} }

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