summaryrefslogtreecommitdiff
path: root/README.md
diff options
context:
space:
mode:
authorAxel Huebl <axel.huebl@plasma.ninja>2017-04-07 18:03:58 +0200
committerAdam J. Stewart <ajstewart426@gmail.com>2017-04-07 11:03:58 -0500
commit7b37620e25606b769cd6a5c5a394c07971ce7967 (patch)
tree108ee4cbbf2c689be0fb574f006fe65b8e39e6a2 /README.md
parent54d0f9157dfae0f4bbb703eed78f611f3c14ffec (diff)
downloadspack-7b37620e25606b769cd6a5c5a394c07971ce7967.tar.gz
spack-7b37620e25606b769cd6a5c5a394c07971ce7967.tar.bz2
spack-7b37620e25606b769cd6a5c5a394c07971ce7967.tar.xz
spack-7b37620e25606b769cd6a5c5a394c07971ce7967.zip
mallocMC: Spack Package (#3745)
Adds a package for mallocMC, a memory allocator for many core architectures. This project provides a framework for fast memory managers on many core accelerators. Currently, it supports NVIDIA GPUs of compute capability sm_20 or higher through the ScatterAlloc algorithm. mallocMC is header-only. Downstream Dependencies PIConGPU and other projects of HZDR's *Computational Radiation Physics* group References - Markus Steinberger, Michael Kenzel, Bernhard Kainz and Dieter Schmalstieg. *ScatterAlloc: Massively parallel dynamic memory allocation for the GPU*, Innovative Parallel Computing (InPar), 2012, https://doi.org/10.1109/InPar.2012.6339604 - Carlchristian Eckert. *Enhancements of the massively parallel memory allocator ScatterAlloc and its adaption to the general interface mallocMC*, Junior Thesis (grosser Beleg), 2014, http://dx.doi.org/10.5281/zenodo.34461
Diffstat (limited to 'README.md')
0 files changed, 0 insertions, 0 deletions