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felipe_aramburu

HN member
Joined
Tue, Sep 13, 2016, 6:04 AM UTC
HN karma
289
Public activity
84 items

About felipe_aramburu

someone who tries to make code fly

Recent public activity

  1. comment
    Comment #47433708

    How does this relate to cuCascade https://github.com/nvidia/cucascade

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  5. comment
    Comment #20635941

    This is actually going to be pretty sick for us at BlazingSQL. We are freaking frothing at the chance to be able to scale beyond system and gpu memory without having to shove data …

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    Comment #20629068

    Have you compared performance between your suggested solutions and what can be achieved using hardware vendor platforms? If not then whats kind of pathetic is how quickly you dismi…

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    Comment #20622356

    When you say SQL format do you mean being able to read the output of a jdbc or odbc driver? If this is the case then mostly just time. You are not the first person to ask about thi…

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    Comment #20622313

    Well it pretty much always was a part of the eco system it just was not open source. We have been contributors to rapids for a while. And yes, we are betting on Nvidia for sure. Fo…

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    Comment #20619848

    Thanks Leo! We love having you all as early adopters of our tech!

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    Comment #20619128

    Nvidia loves and cherishes you (I think I don't work there). They want you to be able to do this on your laptop, your server, your super computer. If it has been a few years I woul…

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    Comment #20617475

    GPU memory is expensive but a big as #@$% computer is even more expensive. When we show comparisons to things like spark we are doing so use cost basis. So if we say something like…

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    Comment #20616264

    The collab link below let's you use a gpu for free on Google cloud

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    Comment #20616061

    Thats a great question. The answer is two-fold. Early on when we first started playing around with General Processing on GPU's we had Nvidia cards to begin with and I started looki…

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    Comment #20615992

    This is a Distributed SQL engine not a database. We store no data. You store your data in HDFS, S3, posix, NFS etc. We allow you to query directly from these filesystems of the fil…

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    Comment #20615902

    Blazingsql is built on top of CUDF. We are contributors to rapidsai

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    Comment #20615883

    No. We hadn't heard of what PartiQL was before you wrote that message. At least I hadn't. I am the CTO of blazingsql

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    Comment #20615258

    Yes to be more specific it works on cuda 9.2 and 10.0 at the moment like the rest of the rapidsai eco system.

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    Comment #19348825

    Why not? That would be in line with what these physicians were doing which was benign actions whose intent was to alleviate suffering. It seems that the greater point is that inste…

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    Comment #19199524

    Ok. Right now we are in tunnel vision mode to get our distributed version out by GTC in mid march. We will benchmark against clickhouse sometime in March. Do you know of any benchm…

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    Comment #19199094

    I am ignorant of clickhouse. It doesn't really compete in the workloads we are interested in. Sorry you feel this way but we are a small team and need to consider tools that integr…

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    Comment #19198442

    Coming in the current sprint. We have a PR open agaisnt CUDF that brings string support to many of the CUDF algorithms. We will be using this branch in the meantime in our engine w…

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    Comment #19198429

    What makes it hard to work in a cloud environment? The on demand nature of it? The fact that you only pay for the time you are using it? The ease of scaling or deployment? It would…

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    Comment #19198415

    And you think https://tech.marksblogg.com/billion-nyc-taxi-rides-clickhous... for example is something that can be considered fast? It takes the user 55 minutes just to load its da…

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    Comment #19198345

    PG-Strom is a great way to make postgres faster. Nice. But if the purpose is here to build very fast and responsive system which is interacting with other gpu tools well then snap …