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Grammar fix: amount vs number #1050

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Apr 6, 2018
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Grammar fix: amount vs number #1050

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6 changes: 3 additions & 3 deletions _overviews/core/futures.md
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Expand Up @@ -74,13 +74,13 @@ although this should only be done in rare cases.

`ExecutionContext.global` is an `ExecutionContext` backed by a [ForkJoinPool](http://docs.oracle.com/javase/tutorial/essential/concurrency/forkjoin.html).
It should be sufficient for most situations but requires some care.
A `ForkJoinPool` manages a limited amount of threads (the maximum amount of threads being referred to as *parallelism level*).
A `ForkJoinPool` manages a limited number of threads (the maximum number of threads being referred to as *parallelism level*).
The number of concurrently blocking computations can exceed the parallelism level
only if each blocking call is wrapped inside a `blocking` call (more on that below).
Otherwise, there is a risk that the thread pool in the global execution context is starved,
and no computation can proceed.

By default the `ExecutionContext.global` sets the parallelism level of its underlying fork-join pool to the amount of available processors
By default the `ExecutionContext.global` sets the parallelism level of its underlying fork-join pool to the number of available processors
([Runtime.availableProcessors](http://docs.oracle.com/javase/7/docs/api/java/lang/Runtime.html#availableProcessors%28%29)).
This configuration can be overridden by setting one (or more) of the following VM attributes:

Expand All @@ -90,7 +90,7 @@ This configuration can be overridden by setting one (or more) of the following V

The parallelism level will be set to `numThreads` as long as it remains within `[minThreads; maxThreads]`.

As stated above the `ForkJoinPool` can increase the amount of threads beyond its `parallelismLevel` in the presence of blocking computation.
As stated above the `ForkJoinPool` can increase the number of threads beyond its `parallelismLevel` in the presence of blocking computation.
As explained in the `ForkJoinPool` API, this is only possible if the pool is explicitly notified:

import scala.concurrent.Future
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