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Results 1 - 4 of 4 for parallelize (0.2 seconds)
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.teamcity/src/main/kotlin/model/FunctionalTestBucketGenerator.kt
}, ) }.sortedBy { -it.totalTime } .filter { onlyNativeSubprojectsForIntelMacs(testCoverage, it.subProject.name) } return parallelize(subProjectTestClassTimes, testCoverage) { numberOfBatches -> when (testCoverage.os) { Os.LINUX -> ParallelizationMethod.TestDistributionCreated: Wed Apr 01 11:36:16 GMT 2026 - Last Modified: Thu Apr 10 15:09:32 GMT 2025 - 7.3K bytes - Click Count (0) -
docs/en/docs/deployment/server-workers.md
## Deployment Concepts { #deployment-concepts } Here you saw how to use multiple **workers** to **parallelize** the execution of the application, take advantage of **multiple cores** in the CPU, and be able to serve **more requests**.Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Thu Mar 05 18:13:19 GMT 2026 - 8.2K bytes - Click Count (0) -
docs/fr/docs/deployment/server-workers.md
## Concepts de déploiement { #deployment-concepts } Ici, vous avez vu comment utiliser plusieurs workers pour paralléliser l'exécution de l'application, tirer parti de plusieurs cœurs du CPU et être en mesure de servir davantage de requêtes.Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Thu Mar 19 18:37:13 GMT 2026 - 8.7K bytes - Click Count (0) -
docs/uk/llm-prompt.md
- shutdown: вимкнення - lifespan: тривалість життя - authorization: авторизація - forwarded header: направлений заголовок - dependable: залежний - dependent: залежний - bound: межа - concurrency: рівночасність - parallelism: паралелізм - multiprocessing: багатопроцесорність - env var: змінна оточення - dict: словник - enum: перелік - issue: проблема - server worker: серверний працівник - worker: працівник
Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Wed Feb 04 16:47:51 GMT 2026 - 4K bytes - Click Count (0)