Misaki/Misaki.HighPerformance
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Refactor job system to use type-safe pooled job data

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Replaces unsafe pointer-based job data with JobDataPool<T> and ConcurrentSlotMap<T> for safer, type-safe management. JobInfo now references job data by (dataID, dataGeneration). JobExecutor and JobScheduler updated to use the new pool-based approach, requiring T : struct. Removed FreeList and pointer logic. WorkerThread now uses reference counting to prevent use-after-free. Updated all scheduling APIs and benchmarks to match new signatures. Improved documentation and inlining. Bumped assembly version to 3.0.0 due to breaking changes.
This commit is contained in:
Misaki
2026-04-21 17:22:20 +09:00
parent f4bbef0be3
commit b7d61488bb
14 changed files with 324 additions and 154 deletions
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6
Misaki.HighPerformance.Mathematics.SPMD/IJobSPMD.cs
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@@ -85,7 +85,7 @@ public static class IJobParallelForSPMDExtensions
}
}
public static JobHandle ScheduleParallelSPDM<T, TNumber>(this JobScheduler jobScheduler, ref T job, int totalCount, int batchSize, int threadIndex, JobHandle dependency)
public static JobHandle ScheduleParallelSPDM<T, TNumber>(this JobScheduler jobScheduler, ref T job, int totalCount, int batchSize, int threadIndex, params ReadOnlySpan<JobHandle> dependencies)
where T : unmanaged, IJobSPMD<TNumber>
where TNumber : unmanaged, INumber<TNumber>, IBinaryNumber<TNumber>, IMinMaxValue<TNumber>, IBitwiseOperators<TNumber, TNumber, TNumber>
{
@@ -98,7 +98,7 @@ public static class IJobParallelForSPMDExtensions
};
var iterations = (totalCount + WideLane<TNumber>.LaneWidth - 1) / WideLane<TNumber>.LaneWidth;
return jobScheduler.ScheduleParallelFor(ref warper, iterations, batchSize, threadIndex, dependency);
return jobScheduler.ScheduleParallelFor(ref warper, iterations, batchSize, threadIndex, dependencies);
}
else
{
@@ -108,7 +108,7 @@ public static class IJobParallelForSPMDExtensions
totalCount = totalCount,
};
return jobScheduler.ScheduleParallelFor(ref warper, totalCount, batchSize, threadIndex, dependency);
return jobScheduler.ScheduleParallelFor(ref warper, totalCount, batchSize, threadIndex, dependencies);
}
}
}