Python Multi-Process Execution Pool: concurrent asynchronous execution pool with custom resource constraints (memory, timeouts, affinity, CPU cores and caching), load balancing and profiling capabilities of the external apps on NUMA architecture
multiprocessing parallel-computing numa monitoring-server cache-control task-queue application-framework parallel-processing execution-pool benchmarking-framework load-balancing in-memory-computations
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Updated
Aug 28, 2019 - Python