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