**NOTE: THIS IS CURRENTLY OBSOLETE (SINCE VERSION 0.2) **

Although GraphChi has been primarily developed for running with computers with relatively small amount of memory, it can also utilize large amount of memory, if available.

Preloading allows GraphChi to permanently keep files in memory, instead of reloading them from disk every iteration.

In the ConfigurationFile, you can specify setting such as preload.max_megabytes = 10000

... which instructs GraphChi to use 10 gigabytes of memory for preloading.

In the end of the run, the changes to preloaded files are commited back to disk.

Note: Preloading currently does not work with dynamic graphs.

• io.blocksize is the size of the chunk used for I/O. Default setting is one megabyte. Especially on rotational hard-drives, it makes sense to configure it larger. Note, that you need enough memory to store at least one block for each shard. That is, if you have a huge number of shards, this might become an issue.
• membudget_mb defines the maximum about of megabytes to be used for loading a subgraph in memory at any time. Default is 1024 megabytes. For a computer with 8 gigabytes, 3000 megabytes is a reasonable choice. Larger amount helps avoiding redundant scans of the memory-shard (see IntroductionToGraphChi).