Re: [ANNOUNCE] Call for Contributors: ASIOS – AI ‑Native OS (Kernel Work)

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Hi Venkatesh,

Thanks for your interest in ASIOS =E2=80=94 really excited to hear from you=
!

What=E2=80=99s working so far:

- Cross-arch kernel build system (x86_64 and ARM64)

- Ubuntu HWE 6.11 base with AI-optimized configuration overlays

- Automated builds with PREEMPT_RT, SCHED_EXT, and NUMA tuning

- Multi-arch packaging, signing, and module verification pipeline


Where we could use help:


1. Performance validation =E2=80=93 Benchmark ASIOS kernel vs vanilla Ubunt=
u on AI
workloads (Torch, JAX, etc.).

2. BPF sched_ext policies =E2=80=93 Create AI-aware scheduling extensions (=
e.g.
workload tagging, core isolation).

3. Low-level optimization =E2=80=93 Enhance NUMA memory locality, improve
GPU-thread mapping.

You can check out scrips and build instructions on:

https://github.com/asi-os/asios-core

If any of these areas match your expertise, feel free to dive in or open an
issue/PR and  you're very welcome to join our discord community:
https://discord.gg/rWuU7cWU4E

--
Best,
Vikram

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<div dir=3D"auto">Hi Venkatesh,<div dir=3D"auto"><br></div><div dir=3D"auto=
">Thanks for your interest in ASIOS =E2=80=94 really excited to hear from y=
ou!</div><div dir=3D"auto"><br></div><div dir=3D"auto">What=E2=80=99s worki=
ng so far:</div><div dir=3D"auto"><br></div><div dir=3D"auto">- Cross-arch =
kernel build system (x86_64 and ARM64)</div><div dir=3D"auto"><br></div><di=
v dir=3D"auto">- Ubuntu HWE 6.11 base with AI-optimized configuration overl=
ays</div><div dir=3D"auto"><br></div><div dir=3D"auto">- Automated builds w=
ith PREEMPT_RT, SCHED_EXT, and NUMA tuning</div><div dir=3D"auto"><br></div=
><div dir=3D"auto">- Multi-arch packaging, signing, and module verification=
 pipeline</div><div dir=3D"auto"><br></div><div dir=3D"auto"><br></div><div=
 dir=3D"auto">Where we could use help:</div><div dir=3D"auto"><br></div><di=
v dir=3D"auto"><br></div><div dir=3D"auto">1. Performance validation =E2=80=
=93 Benchmark ASIOS kernel vs vanilla Ubuntu on AI workloads (Torch, JAX, e=
tc.).</div><div dir=3D"auto"><br></div><div dir=3D"auto">2. BPF sched_ext p=
olicies =E2=80=93 Create AI-aware scheduling extensions (e.g. workload tagg=
ing, core isolation).</div><div dir=3D"auto"><br></div><div dir=3D"auto">3.=
 Low-level optimization =E2=80=93 Enhance NUMA memory locality, improve GPU=
-thread mapping.</div><div dir=3D"auto"><br></div><div dir=3D"auto">You can=
 check out scrips and build instructions on:</div><div dir=3D"auto"><br></d=
iv><div dir=3D"auto"><a href=3D"https://github.com/asi-os/asios-core" rel=
=3D"noreferrer noreferrer" target=3D"_blank">https://github.com/asi-os/asio=
s-core</a></div><div dir=3D"auto"><br></div><div dir=3D"auto">If any of the=
se areas match your expertise, feel free to dive in or open an issue/PR and=
=C2=A0 you&#39;re very welcome to join our discord community: <a href=3D"ht=
tps://discord.gg/rWuU7cWU4E" rel=3D"noreferrer noreferrer" target=3D"_blank=
">https://discord.gg/rWuU7cWU4E</a></div><div dir=3D"auto"><br></div><div d=
ir=3D"auto">--</div><div dir=3D"auto">Best,</div><div dir=3D"auto">Vikram<b=
r><div dir=3D"auto"><br></div></div></div>

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