Releases: LLNL/Umpire
v0.2.3
This release adds initial thread-safety to data structures and provides a ThreadSafeAllocator that can be used to make any AllocationStrategy safe when shared across multiple threads.
It also updates the AllocationAdvisor so that "HOST"-based Allocators be used as arguments when applying memory advice (such as setting "HOST" as the preferred location for data allocated in unified memory).
v0.2.2
This release adds the ability to get the actual amount of memory allocated by pools, as well as the total amount that was requested by the user. It also adds support for reallocating null pointers.
v0.2.1
This release contains new functionality for applying cudaMemAdvise to allocations, as well as various performance improvements. It also adds a new AllocationStrategy: FixedPool, which can be used to efficiently allocated fixed-size objects. Finally, this release supports collecting statistics about allocations and operations , and outputting these in json format.
v0.2.0
This release contains some performance improvements related to tracking information about allocations. It also contains a new emplace-style construction for Allocators.
N.B this change is not backwards compatible with 0.1.X releases
v0.1.4
This release contains a bugfix for the POOL allocator, related to some of the allocations being unaligned. It also contains a performance fix to reduce the overhead of logging messages to disabled log levels.
v0.1.3
Initial release of Umpire, supports CPU and GPU (CUDA-based) allocations.