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Gustafson: larger machines can tackle larger workloads

Contribution grade

Parallel computing and performance models · Parallel computing and performance models

Reference score95,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Gustafson argued that parallel computing should also be evaluated with workloads that expand as processor counts grow, deriving scaled speedup and reporting near-linear results for three Sandia applications on a 1,024-processor system.

Scientific scope

Gustafson argued that parallel computing should also be evaluated with workloads that expand as processor counts grow, deriving scaled speedup and reporting near-linear results for three Sandia applications on a 1,024-processor system. Scaled speedup holds the chosen parallel execution workload/time viewpoint and serial fraction fixed. It complements rather than refutes fixed-workload Amdahl limits. Communication, memory, load balance and changing serial work remain costs. The reported machine experiments are particular cases, not a guarantee of linear speedup for arbitrary software.

Evidence

Source-linked, scoped account of the original work. The published scope states the scientific assumptions and remaining verification limits. WRS has not independently certified the full proof, experimental result or system benchmark.

Contributors

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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