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Scalable memory allocation is critical to extracting maximum value from each machine in Facebook's server farms. A typical Facebook server application concurrently utilizes 8 or more CPU cores, and 5 to 70 gigabytes of RAM. At this scale, few memory allocators are able to provide satisfactory throughput, fragmentation avoidance, and introspection capabilities. We have successfully enhanced the open source jemalloc memory allocator (http://www.canonware.com/jemalloc/) to meet all of these needs f
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