Collect CPU callstack samples from a windows process
Collect CPU call stack samples from a windows process
Map Reduce provides a scaleable way to execute operations on large datasets across clusters of machines.
Fast map-reduce based on threading
multi-thread map-reduce framework as described in https://en.wikipedia.org/wiki/MapReduce
A map-reduce style parallel extension to seq_io
Workflow primitives for CeleRS (Chain, Chord, Group, Map)
Efficient, configurable, zero-dependency thread pool implementations. Flexible and usable for a wide variety of applications.
Construct — memory-native AI agent runtime powered by Kumiho
A structured parallel programming library for Rust.
Out-of-memory sorting and streaming of large datasets
Implement fp features for Rust
Simple distributed Map Reduce Framework on Ruby
The MapReduce gem is the easiest way to write custom, distributed, larger than memory map-reduce jobs
Snail is a single-threaded, in-memory, barebones MapReduce framework written in Ruby to quickly prototype and test parallel algorithms.
https://github.com/zedbydade/ruby-map-reduce/blob/master/README.md
Simple MapReduce framework
This is a full implementation of the MapReduce algorithm specifically for use with lambdas. It is useful for problems that are a natural fit for the MapReduce model (such as building cross-references) when the data set fits easily within memory.
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