<commit_before># **Scheduler**

Scheduler is a tool for effective training Machine Learning models on multiple GPUs. 
<p>
Scheduler uses the file `gpu_scheduler_info` which is stored in /tmp/ and stores the global state about GPUs. This file is automatically created on a first start and by default is initialized for four GPU (it can be change with --init option). When a particular task is assigned to some GPU, a global variable GPU is set to `cuda[number of assigned GPU]` and this GPU is blocked until the task finishes.
</p><commit_msg>change readme formating<commit_after># **Scheduler**

Scheduler is a tool for effective training Machine Learning models on multiple GPUs. 

Scheduler uses the file `gpu_scheduler_info` which is stored in /tmp/ and stores the global state about GPUs. This file is automatically created on a first start and by default is initialized for four GPU (it can be change with --init option). When a particular task is assigned to some GPU, a global variable GPU is set to `cuda[number of assigned GPU]` and this GPU is blocked until the task finishes.
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