First published 10/3/2026, 1:36:15 AM · Last updated 10/3/2026, 1:36:15 AM

Tuning three-dimensional tumor progression simulations on a cluster of GPGPUs

Elsevier BV published a journal article on 2022-10-01 reporting work to tune three-dimensional simulations of tumor progression running on a cluster of GPGPUs. The supplied source record identifies the publication and format but includes no experimental results or conclusions in the excerpt provided.

Illustrative image: NEC Cluster ( laki, laki2 ), High Performance Computing Center Stuttgart (HLRS) of the University of Stuttgart . — Julian Herzog ( Website )/Wikimedia Commons, CC BY 4.0

Categories: science-and-space, technology, public-health

Generated scores

Scores are based on the cited reporting and use a 1–10 scale. Read the methodology.

Confidence: 5/10How certain the assessment is based on the clarity and evidence in the cited reporting.
Geographic reach: 3/10How widely the event reaches, from a local area (1) to worldwide impact (10).
Global importance: 3/10The event's broader significance, from limited importance (1) to major global importance (10).
Impact magnitude: 3/10The scale or severity of the real-world impact, from minor (1) to extreme (10).
Positivity: 6/10How harmful or beneficial the event is, from strongly harmful (1) to strongly positive (10).
Urgency: 1/10How time-sensitive the event is, from low urgency (1) to immediate attention needed (10).

Why it matters

The article documents technical methods for configuring GPU-cluster simulations used in tumor progression research.

Sources

Tuning three-dimensional tumor progression simulations on a cluster of GPGPUs

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