Google Chrome beta version released to help Windows and Android save memory

It is well known that Google Chrome consumes relatively high memory resources, so the experience of using Google Chrome on devices with lower memory may not be very good.

Especially when many tabs are opened, all free memory can even be consumed. This is also the case for Google Chrome to focus on memory optimization for many years.

Some time ago, Google Chrome tried to use Microsoft’s newly launched segment heap memory mechanism, which is a new throttling technology provided in Windows 10 v2004.

However, after testing Google found that although the segment heap mechanism helps to reduce memory, it consumes too much processor resources, and eventually Google gives up using the segment heap memory mechanism.

Earlier, Google engineers proposed a new memory optimization method to dynamically allocate the cache through a cache mechanism called PartitionAlloc to save memory.

Hidden Chrome Features

According to Google engineers, this feature has been pushed to the Beta channel, and it supports both the Windows version and the Android version of Google Chrome.

In the future, Google will extend this feature to the Linux version of Google Chrome, but for now, Google’s focus is to optimize the Windows and Android platforms first.

According to Google’s explanation, this mechanism helps to save the memory cost of Google Chrome, but Google has not released usage comparison information so the effect is not clear.

After the test is completed, the mechanism will soon be pushed to the users of the stable channel. At that time, users can try to see whether the bottom memory has been significantly reduced.

“Having two separate partitions is required when the regular one doesn’t provide the desired alignment. Without that, it’s beneficial performance and memory-wise to have a single partition. Performance is better since aligned allocations (which are actually plentiful in Chromium) can leverage the thread cache. Memory footprint improves from lower fragmentation, and not paying the fixed cost of partition metadata,” the company explained.