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[Cylon] Arrow 14.0.2 Integration

Open arupcsedu opened this issue 10 months ago • 7 comments

  1. Add support for C++17
  2. Update dependent library for conda
  3. Update compatibility issue within arrow.

arupcsedu avatar Apr 18 '24 15:04 arupcsedu

@arupcsedu why not use arrow 15.0.x ?

UPDATE: never mind. I think latest cudf is at 14.x.x. So, this should be good

cylon-manager avatar Apr 18 '24 16:04 cylon-manager

cudf, pytorch default release version is compatible with 14.0.2

On Thu, Apr 18, 2024 at 12:12 PM cylon-manager @.***> wrote:

@arupcsedu https://github.com/arupcsedu why not use arrow 15.0.x ?

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arupcsedu avatar Apr 18 '24 16:04 arupcsedu

v 15 is a major new release, so i think you want to use 15

https://arrow.apache.org/release/15.0.0.html

laszewsk avatar Apr 18 '24 16:04 laszewsk

is it that cudf, pytorch are not compatible with 15?

laszewsk avatar Apr 18 '24 16:04 laszewsk

right, Gregor. We should align with the released cudf and pytorch version. Arrow 14.0.2 comes with the released package of cudf and pytorch.

Despite this, it will not take that much time to upgrade to Arrow 15 after this upgrade. This one is the toughest one.

Best regards Arup Sarker

On Thu, Apr 18, 2024 at 12:45 PM Gregor von Laszewski < @.***> wrote:

is it that cudf, pytorch are not compatible with 15?

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arupcsedu avatar Apr 18 '24 16:04 arupcsedu

Arup,

Here are some initial suggestions:

  1. Move the rivanna directory and update the necessary scripts under target
  2. Change the conda environments to use cylon_dev as a name
  3. The build completes successfully but there are many warnings that need to be cleaned up. We should have a build process that emits a minimal amount of warning output from the compiler

I'm testing with UCX now and therefore more suggestions may be forthcoming.

mstaylor avatar Aug 17 '24 15:08 mstaylor

I will do it. Thanks

On Sat, Aug 17, 2024 at 11:40 AM Mills Staylor @.***> wrote:

Arup,

Here are two suggestions:

  1. move the rivanna directory and update the necessary scripts under target
  2. change the conda environments to use cylon_dev as a name

I'm testing with UCX now and therefore more suggestions may be forthcoming.

— Reply to this email directly, view it on GitHub https://github.com/cylondata/cylon/pull/688#issuecomment-2294894347, or unsubscribe https://github.com/notifications/unsubscribe-auth/ACOGXWUYGB6T3DD2NNCAIMDZR5VHXAVCNFSM6AAAAABGNRPYHKVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDEOJUHA4TIMZUG4 . You are receiving this because you were mentioned.Message ID: @.***>

arupcsedu avatar Aug 17 '24 18:08 arupcsedu