# Random Distributed Scalar Encoder :High Memory & CPU Usage

**URL:** <https://discourse.numenta.org/t/random-distributed-scalar-encoder-high-memory-cpu-usage/2571>\
**Category:** HTM.Java\
**Created:** [July 23, 2017, 1:39am UTC](https://discourse.numenta.org/t/random-distributed-scalar-encoder-high-memory-cpu-usage/2571 "2017-07-23T01:39:50Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![wip\_user](https://avatars.discourse-cdn.com/v4/letter/w/848f3c/32.png) [@wip\_user](https://discourse.numenta.org/u/wip_user)\
**Post date:** [July 23, 2017, 1:39am UTC](https://discourse.numenta.org/t/random-distributed-scalar-encoder-high-memory-cpu-usage/2571/1 "2017-07-23T01:39:50Z")

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Hi  
I have noticed **Random Distributed Scalar Encoder** using lot more memory and CPU compare to Scalar Encoder . reaching 100% cpu for one “Random Distributed Scalar Encoder” variable.

Has anyone faced similar problem ? I have used 21:210 values for n:w

 ![](https://canada1.discourse-cdn.com/flex030/uploads/numenta/original/2X/b/b45ad08aebd99dc83b858ac36662bcbf3b4e6e03.png)