rmm
RAPIDS Memory Manager (by rapidsai)
memory-allocators
Custom memory allocators in C++ to improve the performance of dynamic memory allocation (by mtrebi)
| rmm | memory-allocators | |
|---|---|---|
| 1 | 2 | |
| 699 | 1,978 | |
| 0.7% | 2.7% | |
| 9.4 | 0.0 | |
| 3 days ago | about 2 months ago | |
| C++ | C++ | |
| Apache License 2.0 | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
rmm
Posts with mentions or reviews of rmm.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-07-09.
-
WSL2 CUDA/CUDF issue : Unable to establish a shared memory space between system and Vram
Specific issue: I am trying to use the RAPIDS/CUDF memory manager: https://github.com/rapidsai/rmm
memory-allocators
Posts with mentions or reviews of memory-allocators.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Books to better understand memory allocation.
Read up on Custom Allocator Strategies GitHub - mtrebi/memory-allocators: Custom memory allocators in C++ to improve the performance of dynamic memory allocation
- A nice collection of C++ based memory Allocators with detailed documentation
What are some alternatives?
When comparing rmm and memory-allocators you can also consider the following projects:
Mesh - A memory allocator that automatically reduces the memory footprint of C/C++ applications.
memory - STL compatible C++ memory allocator library using a new RawAllocator concept that is similar to an Allocator but easier to use and write.
cudf - cuDF - GPU DataFrame Library
Hoard - The Hoard Memory Allocator: A Fast, Scalable, and Memory-efficient Malloc for Linux, Windows, and Mac.
larena - Yet another simple header only arena allocator for C11
c-allocators - A collection of public domain single-file custom allocators for C/C++