update readme for 1.7.2/2.0.2

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Daan Leijen 2021-06-17 20:14:23 -07:00
parent 752594e764
commit b0441da766

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@ -12,8 +12,8 @@ is a general purpose allocator with excellent [performance](#performance) charac
Initially developed by Daan Leijen for the run-time systems of the Initially developed by Daan Leijen for the run-time systems of the
[Koka](https://koka-lang.github.io) and [Lean](https://github.com/leanprover/lean) languages. [Koka](https://koka-lang.github.io) and [Lean](https://github.com/leanprover/lean) languages.
Latest release tag: `v2.0.1` (beta, 2021-04-06). Latest release tag: `v2.0.2` (beta, 2021-06-17).
Latest stable tag: `v1.7.1` (2021-04-06). Latest stable tag: `v1.7.2` (2021-06-17).
mimalloc is a drop-in replacement for `malloc` and can be used in other programs mimalloc is a drop-in replacement for `malloc` and can be used in other programs
without code changes, for example, on dynamically linked ELF-based systems (Linux, BSD, etc.) you can use it as: without code changes, for example, on dynamically linked ELF-based systems (Linux, BSD, etc.) you can use it as:
@ -73,7 +73,10 @@ Enjoy!
### Releases ### Releases
* 2021-04-06, `v1.7.1`, `v2.0.1` (beta): fix bug in arena allocation for huge pages, improved aslr on large allocations, improved M1 support (still experimental). * 2021-06-17, `v1.7.2`, `v2.0.2` (beta): support M1, better installation layout on Linux, fix
thread_id on Android, prefer 2-6TiB area for aligned allocation to work better on pre-window 8, various small fixes.
* 2021-04-06, `v1.7.1`, `v2.0.1` (beta): fix bug in arena allocation for huge pages, improved aslr on large allocations, initial M1 support (still experimental).
* 2021-01-31, `v2.0.0`: beta release 2.0: new algorithm for managing internal mimalloc pages that tends to use reduce memory usage * 2021-01-31, `v2.0.0`: beta release 2.0: new algorithm for managing internal mimalloc pages that tends to use reduce memory usage
and fragmentation compared to mimalloc v1 (especially for large workloads). Should otherwise have similar performance and fragmentation compared to mimalloc v1 (especially for large workloads). Should otherwise have similar performance