#suitesparse результаты поиска

#PageRank will be the first analytical graph algorithm introduced to #RedisGraph, #SuiteSparse implementation of it, "dpagerank2" really shows the power of #GraphBLAS and linear algebra, can't wait to get some benchmarking going!


[Rev:5e95789b] formula updated: suite-sparse 3.5.0 http://bit.ly/f47iPW #machomebrew #suitesparse


[Rev:f0ad14a9] formula updated: suite-sparse 3.6.0 http://bit.ly/f47iPW #machomebrew #suitesparse


[Rev:f5feeea5] formula updated: suite-sparse 3.6.1 http://bit.ly/f47iPW #machomebrew #suitesparse


@roilipman thank you for your comments on impractical memory consumption of Azimov's CFPQ algorithm. We rethought it and provide multiple-source CFPQ which demonstrates significantly better memory consumption. Preprint: github.com/YaccConstructo… #SuiteSparse #RedisGraph #GraphBLAS


[Rev:b279b971] formula updated: suite-sparse 3.7.0 bit.ly/ssE69A #machomebrew #suitesparse


[Rev:15fadc11] formula updated: suite-sparse 3.7.0 bit.ly/ssE69A #machomebrew #suitesparse


[Rev:32db4e2f] formula updated: suite-sparse 3.7.0 bit.ly/ssE69A #machomebrew #suitesparse


[Rev:fe69e0ce] formula updated: suite-sparse 3.7.0 bit.ly/ssE69A #machomebrew #suitesparse


#Sparse workloads have #SuiteSparse from @DocSparse, #DataSparse dense workloads have now #STARSH. You can assess accuracy and perf of your low-rank #approximation methods on 3D matrix kernels, proxies of real scientific apps: #spatial #statistics, #acoustic, #covid19...#HPC #GPU

Releasing our #STARSH library providing an #HPC #matrix market for data-sparse scientific problems. And yes, with #GPU support! GCC: Generate, Compress, and Compute! A standard for assessing low-rank matrix algorithms. More at github.com/ecrc/stars-h #HPC #SVD #SuiteLowRank @RWTH

KAUST_ECRC's tweet image. Releasing our #STARSH library providing an #HPC #matrix market for data-sparse scientific problems. And yes, with #GPU support! GCC: Generate, Compress, and Compute! A standard for assessing low-rank matrix algorithms. More at github.com/ecrc/stars-h #HPC #SVD #SuiteLowRank @RWTH


[Rev:a95540c7] formula updated: suite-sparse: stable 4.0.2 bit.ly/ssE69A #machomebrew #suitesparse


Sounds like GPUs can be a good powerful tool also for running sparse matrix algorithms: faculty.cse.tamu.edu/davis/suitespa… #SuiteSparse #GPU


#CODERADE Build 99 has #SuiteSparse, for all of you who love your scantily-populated matrices #rowr


New package: #suitesparse Version: 1:4.4.4-1 1:4.4.3-1 by Sébastien Villemot ... deb.li/ijWGI


New package: #suitesparse Version: 1:4.4.3-1 by Sébastien Villemot ... deb.li/nMki


New package: #suitesparse Version: 1:4.4.5-1 by Sébastien Villemot ... deb.li/3TwXi


#Sparse workloads have #SuiteSparse from @DocSparse, #DataSparse dense workloads have now #STARSH. You can assess accuracy and perf of your low-rank #approximation methods on 3D matrix kernels, proxies of real scientific apps: #spatial #statistics, #acoustic, #covid19...#HPC #GPU

Releasing our #STARSH library providing an #HPC #matrix market for data-sparse scientific problems. And yes, with #GPU support! GCC: Generate, Compress, and Compute! A standard for assessing low-rank matrix algorithms. More at github.com/ecrc/stars-h #HPC #SVD #SuiteLowRank @RWTH

KAUST_ECRC's tweet image. Releasing our #STARSH library providing an #HPC #matrix market for data-sparse scientific problems. And yes, with #GPU support! GCC: Generate, Compress, and Compute! A standard for assessing low-rank matrix algorithms. More at github.com/ecrc/stars-h #HPC #SVD #SuiteLowRank @RWTH


@roilipman thank you for your comments on impractical memory consumption of Azimov's CFPQ algorithm. We rethought it and provide multiple-source CFPQ which demonstrates significantly better memory consumption. Preprint: github.com/YaccConstructo… #SuiteSparse #RedisGraph #GraphBLAS


#PageRank will be the first analytical graph algorithm introduced to #RedisGraph, #SuiteSparse implementation of it, "dpagerank2" really shows the power of #GraphBLAS and linear algebra, can't wait to get some benchmarking going!


New package: #suitesparse Version: 1:5.3.0+dfsg-1 by Sébastien Villemot ... deb.li/3trzs


New package: #suitesparse Version: 1:5.3.0+dfsg-1 by Sébastien Villemot ... deb.li/3trzs


New package: #suitesparse Version: 1:5.2.0+dfsg-1 by Sébastien Villemot ... deb.li/3Z5WU


New package: #suitesparse Version: 1:5.2.0+dfsg-1 by Sébastien Villemot ... deb.li/3Z5WU


New package: #suitesparse Version: 1:5.2.0+dfsg-1 by Sébastien Villemot ... deb.li/3Z5WU


Sounds like GPUs can be a good powerful tool also for running sparse matrix algorithms: faculty.cse.tamu.edu/davis/suitespa… #SuiteSparse #GPU


New package: #suitesparse Version: 1:4.5.3~beta-1 by Sébastien Villemot ... deb.li/iO1sE


#CODERADE Build 99 has #SuiteSparse, for all of you who love your scantily-populated matrices #rowr


New package: #suitesparse Version: 1:4.4.6-1 by Sébastien Villemot ... deb.li/3ikQi


New package: #suitesparse Version: 1:4.4.5-1 by Sébastien Villemot ... deb.li/3TwXi


New package: #suitesparse Version: 1:4.4.4-1 1:4.4.3-1 by Sébastien Villemot ... deb.li/ijWGI


New package: #suitesparse Version: 1:4.4.3-1 by Sébastien Villemot ... deb.li/nMki


[Rev:a95540c7] formula updated: suite-sparse: stable 4.0.2 bit.ly/ssE69A #machomebrew #suitesparse


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