ScatterAlloc: Massively Parallel Dynamic Memory Allocation for the GPU
This project provides a fast memory manager for Nvidia GPUs with
compute capability sm_20 or higher.
From http://www.icg.tugraz.at/project/mvp/downloads :
ScatterAlloc is a dynamic memory allocator for the GPU. It is
designed concerning the requirements of massively parallel
execution.
ScatterAlloc greatly reduces collisions and congestion by
scattering memory requests based on hashing. It can deal with
thousands of GPU-threads concurrently allocating memory and its
execution time is almost independent of the thread count.
ScatterAlloc is open source and easy to use in your CUDA projects.
Original Homepage: http://www.icg.tugraz.at/project/mvp
Our Homepage: https://www.hzdr.de/crp
Please visit our fork of this project: mallocMC
mallocMC includes a major redesign of the library. Starting from a policy based design for general memory pools, we implemented a whole new environment and plenty of features. Of course, the scatterAlloc algorithm is implemented, too.
This repository is a clone of the ScatterAlloc project from the Managed Volume Processing group at Institute for Computer Graphics and Vision, TU Graz (kudos!).
We fixed and backported minor bugs we found while developing
mallocMC
to this repository.
Just a random link collection:
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Paper by Markus Steinberger, Michael Kenzel, Bernhard Kainz and Dieter Schmalstieg
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2012, May 5th: Presentation at Innovative Parallel Computing 2012 by Bernhard Kainz
We distribute the modified software under the same license as the original software from TU Graz (by using the MIT License). Please refer to the LICENSE file.