Top Tweets for #graphblas
GraphBLAST, a new iteration of #GraphBLAS from @BerkeleyLab & @ucdavis, tackles graph analytics design & performance challenges on GPUs. Check out the performance comparison results! https://t.co/NYzTvTtiG6
@exascaleproject #HPC @doescience @ENERGY @aydoz @UofCalifornia @jowens

GraphBLAST, a new iteration of #GraphBLAS from @BerkeleyLab & @ucdavis tackles graph analytics design & performance challenges on GPUs. Check out the performance comparison results! https://t.co/OafjEJAz1H
@exascaleproject #HPC @doescience #exascale

GraphBLAST, a new iteration of #GraphBLAS from @BerkeleyLab & @ucdavis, tackles graph analytics design & performance challenges on GPUs. Check out the performance comparison results! https://t.co/NYzTvTKU4G
@exascaleproject #HPC @doescience #exascale

#GraphBLAS at work. 🚀
RedisGraph 2.2.14 is out, including some major performance improvements!
So RedisGraph the *fastest* queryable Property Graph database in the market is now even faster ⚡️⚡️⚡️
https://t.co/JIOn8u3qyL
#redis #GraphDatabases
We are. And we have a preliminary plan: https://t.co/ozvZBP76O8 And we plan to discuss it on the upcoming GrAPL workshop.
4 clicks, and you get #redisgraph with #GraphBLAS v3 inside. It's blazing at Redis speed now, but will be 5x faster for some operations once I finish v4 of GraphBLAS.
So easy... 4 clicks and you have a fully managed free Graph Database on AWS and it's all in Redis speed.
https://t.co/fxutxfu9DY
#redisgraph #redis
$vism @Logicworks
"The #GraphBLAS capability will enable #CyGraph® to deliver analysis results at orders of magnitude faster than traditional #querying methods"
@NSAGov @cyber @Logicworks @AWS @CIA @FBI @VisiumAnalytics @cnnbrk @StockRevelation @RadioSilentplay @jimcramer $vsym

$vism
"The #GraphBLAS capability will enable #CyGraph® to deliver analysis results at orders of magnitude faster than traditional querying methods"
@InsidrFinancial
@Logicworks
@VisiumAnalytics @IHPosts @jimcramer @NFL @LockheedMartin
@SpaceForceDoD $fb
https://t.co/gThznR6dyH
$vism NEWS OUT 2DAY!
#GraphBLAS capability will enable #CyGraph® to deliver analysis results at orders of magnitude faster than traditional querying methods
@VisiumAnalytics #DATA @AWS_Partners
@awsmarketplace @Logicworks @InsidrFinancial @NickPeist
https://t.co/cTEu90YcQv

@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: https://t.co/AYApgLlMjQ #SuiteSparse #RedisGraph #GraphBLAS
A very cool success story from @bthinkdata and @RedisLabs, about the impact of #RedisGraph and #GraphBLAS on the performance of Namara, an end-to-end data management platform by ThinkData.
"ThinkData has seen immense performance improvements since adopting RedisGraph, including a 62% decrease in total request time for functions such as text-query catalog searching."
— Brendan Stennett, CTO, ThinkData
@bthinkdata
https://t.co/sEBc4RWiu2
#redis #redisgraph
And don’t forget to bring along a friendly #GraphBLAS zombie! They’ll be there for the event after all, just hidden behind the GrB_Matrix opacity. Invisible friendly zombies. 😜
We're proud of our speaker @guyroyse, Developer Advocate at Redis Labs. He'll be speaking on "Dungeons, Dragons, and Graph Databases" at 11:00 AM ETD on 9/26. Details: https://t.co/QzoBnaJSfO.

Heading to #HPEC20 this week (https://t.co/06zpnRPbLg). Several talks on #GraphBLAS there. I'm giving one on GraphBLAS with Python and #MATLAB, and another informal talk on what's to come in my upcoming v4 release of GraphBLAS.
As always, fantastic work by @DocSparse #redisgraph been using the classic AND_OR semiring to perform BFS for a while. We're looking forward to v4! Incase you're dealing with graphs definitely look into #GraphBLAS, game changer.
SuiteSparse #GraphBLAS is the computational engine inside #RedisGraph. My latest v4 draft is up to 5x faster for a breadth-first-search, as compared to my v3 GraphBLAS, so watch for future performance boosts in applications like RedisGraph, when I release v4.
SuiteSparse #GraphBLAS is the computational engine inside #RedisGraph. My latest v4 draft is up to 5x faster for a breadth-first-search, as compared to my v3 GraphBLAS, so watch for future performance boosts in applications like RedisGraph, when I release v4.
Just released SuiteSparse 5.8.0 with #GraphBLAS 3.3.2 and SLIPLU 1.0.1. GrB in @MATLAB now supports single & double complex matrices, C=A*B up to 30x faster than the MATLAB builtin. SLIPLU solves Ax=b with exact, roundoff-error-free results. https://t.co/GmyJJrpBnx
This #GraphBLAS stuff is super exciting. Most graph algorithms can be expressed as linear algebra. Sparse matrix SIMD-backed graph algorithms lets us process orders-of-magnitude larger graphs. Similar to AD tools like Theano et al., this will give a huge boost to network science.
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