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Amdahl's Law

Concept

**Amdahl's Law** describes a fundamental limit on performance improvement in parallel or optimized systems: “the overall performance improvement gained by optimizing a single part of a system is limited by the fraction of time that the improved part is actually used.”[3882ee73-d7fa-4f61-9805-76c7e17a2ebd] In practice, this means that accelerating only the parallelizable or optimized portion of a workload cannot eliminate time spent in sequential, synchronization, scheduling, or other non-optimized parts of the system.

First seen 5/24/2026
Last seen 5/25/2026
Evidence 2 chunks
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Amdahl's Law

Amdahl's Law describes a fundamental limit on performance improvement in parallel or optimized systems: “the overall performance improvement gained by optimizing a single part of a system is limited by the fraction of time that the improved part is actually used.”[1] In practice, this means that accelerating only the parallelizable or optimized portion of a workload cannot eliminate time spent in sequential, synchronization, scheduling, or other non-optimized parts of the system.

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VIP Level Parallelism ← depends on 90% 2e
VIP level parallelism performance is governed by Amdahl's Law which limits overall gains.
Multicore Parallelization ← depends on 90% 1e
Multicore parallelization gains are limited by Amdahl's Law.