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Re: [ANNOUNCE] Call for Contributors: ASIOS – AI‑Native OS (Kernel Work)
by Vikram R May 24, 2025

May 24, 2025

Hi Venkatesh, Thanks for your interest in ASIOS — really excited to hear from you! What’s 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 – Benchmark ASIOS kernel vs vanilla Ubuntu on AI workloads (Torch, JAX, etc.). 2. BPF sched_ext policies – Create AI-aware scheduling extensions (e.g. workload tagging, core isolation). 3. Low-level optimization – Enhance NUMA memory locality, improve GPU-thread mapping. You Can check out scripts 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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Re: [ANNOUNCE] Call for Contributors: ASIOS – AI‑Native OS (Kernel Work)
by Vikram R May 23, 2025

May 23, 2025

Hi Venkatesh, Thanks for your interest in ASIOS — really excited to hear from you! What’s 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 – Benchmark ASIOS kernel vs vanilla Ubuntu on AI workloads (Torch, JAX, etc.). 2. BPF sched_ext policies – Create AI-aware scheduling extensions (e.g. workload tagging, core isolation). 3. Low-level optimization – 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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Re: [ANNOUNCE] Call for Contributors: ASIOS – AI‑Native OS (Kernel Work)
by Vikram R May 21, 2025

May 21, 2025

Hi Enrico, Thanks for the questions – please see my answers inline: > “What exactly do you mean by that?” By “AI-native” I mean ASIOS is designed from the ground up for AI workloads, not retrofitted. It embeds ML-driven optimizations (e.g. reinforcement-learning schedulers, Bayesian latency predictors), deterministic scheduling, native multi-accelerator support and built-in alignment/safety probes directly into the OS stack. > “Why an old Ubuntu?” We chose Ubuntu 24.04 LTS because it gives us a rock-solid, long-term-support base with an upstream PREEMPT_RT HWE kernel (6.11) that we can rebase regularly. It’s reproducible, widely deployed in enterprise and cloud environments, and lets us focus on AI-centric enhancements rather than reinventing the distribution. > “If you’re talking AI, you mean datacenter, right? I’d trim things down…” Our primary target today is bare-metal and VM-based AI clusters, but ASIOS also supports very slim builds (we strip out unneeded services) and future multi-distro releases (we’re planning Devuan, Yocto/PTXdist, RHEL/SUSE variants). > “Which symbols? ELF symbols or kconfig defines?” The overlay logic deals with Kconfig symbols (CONFIG_*). asios-config-overlay.sh skips any missing CONFIG options instead of failing, > Re: extra-deb tooling Great pointer on deb-pkg – we’ll evaluate integrating it into our .deb build pipeline to streamline packaging. I did run into some issues packaging cross-architecture kernels with dpkg-buildpackage. Please let me know if you have any other suggestions or questions! Cheers, — Vikram R KarLex AI, Inc.

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[ANNOUNCE] Call for Contributors: ASIOS – AI‑Native OS (Kernel Work)
by Vikram R May 19, 2025

May 19, 2025

ASIOS is a new AI‑native OS (Ubuntu 24.04 LTS base) bringing deterministic scheduling, NUMA‑GPU optimizations, zero‑copy I/O, and eBPF telemetry into the Linux kernel. Key directions— — Deterministic CPU scheduling for reproducible AI runs — NUMA‑aware memory placement tuned for GPU DMA — Zero‑copy GPU I/O via GPUDirect RDMA/Storage — eBPF‑based telemetry hooks **Call for contributors:** scheduler/MM, GPU/accelerator integration, eBPF instrumentation. Project links— GitHub: <https://github.com/asi-os> Discord: <https://discord.gg/rWuU7cWU4E> Roadmap: <https://github.com/asi-os/asios-docs/blob/main/docs/ARCHITECTURE.md> Please reply on‑list with questions or join us on Discord to dive into the design. Vikram Karlex R KarLex AI, Inc. | <https://asios.ai> | <https://karlex.ai>

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Re: [ANNOUNCE] Call for Contributors: ASIOS – AI‑Native OS (Kernel Work)
by Vikram R May 19, 2025

May 19, 2025

Sorry for the noise. On Tue, May 20, 2025 at 1:00 AM Grozdan <neutrino8(a)gmail.com> wrote: > > Please do not spam the list with your AI crap! > > On Mon, May 19, 2025 at 9:28 PM Vikram R <vikram(a)karlexai.com> wrote: >> >> ASIOS – Envisioned to Host and Sustain Cognition & Synthetic Intelligence >> The world’s first AI-native operating system. >> >> ASIOS is a new class of OS built on Ubuntu 24.04 LTS, designed from >> first principles for AI workloads. We’re creating the foundational >> infrastructure layer to support ever-more sophisticated >> intelligence—from today’s deep-learning models to tomorrow’s advanced >> cognitive and quantum-ready AI. >> >> Building on our May 3 thread, we’ve landed a resilient config-overlay >> and build script for ASIOS on both x86_64 and aarch64. Key artifacts: >> >> asios-config-overlay.sh: idempotent Kconfig overlay that tolerates >> missing symbols >> build-asios-kernel.sh: automated clone to config to compile workflow >> test-asios-config.sh: verifies .config flags post build >> Initial perf on Ubuntu 24.04 HWE 6.11: >> x86_64: mbw=7.3 GB/s, hackbench=53 ms, fio=1.6 GB/s >> arm64: mbw=27.4 GB/s, hackbench=4.8 ms, fio=3.2 GB/s >> >> GitHub (scripts and tests): https://github.com/asi-os/asios-core/ >> Discord: https://discord.gg/rWuU7cWU4E >> >> Areas for review and test: >> 1. Overlay logic: skipping versus failing on absent Kconfig symbols >> 2. Build-matrix logic: host-only versus cross-build >> 3. Test completeness: missing flags >> 4. Scripting style and robustness >> >> Any pointers or suggestions are highly appreciated before we push to a >> formal RFC series. >> >> — >> Vikram R >> Founder & CEO, KarLex AI, Inc. >> https://asios.ai >> >> >> On Sat, May 3, 2025 at 12:22 PM Vikram R <vikram(a)karlexai.com> wrote: >> > >> > ASIOS is a new AI‑native OS (Ubuntu 24.04 LTS base) bringing >> > deterministic scheduling, NUMA‑GPU optimizations, zero‑copy I/O, and >> > eBPF telemetry into the Linux kernel. >> > >> > Key directions— >> > — Deterministic CPU scheduling for reproducible AI runs >> > — NUMA‑aware memory placement tuned for GPU DMA >> > — Zero‑copy GPU I/O via GPUDirect RDMA/Storage >> > — eBPF‑based telemetry hooks >> > >> > **Call for contributors:** scheduler/MM, GPU/accelerator integration, >> > eBPF instrumentation. >> > >> > Project links— >> > GitHub: <https://github.com/asi-os> >> > Discord: <https://discord.gg/rWuU7cWU4E> >> > Roadmap: <https://github.com/asi-os/asios-docs/blob/main/docs/ARCHITECTURE.md> >> > >> > Please reply on‑list with questions or join us on Discord to dive into >> > the design. >> > >> > Vikram Karlex R >> > KarLex AI, Inc. | <https://asios.ai> | <https://karlex.ai> >> > > > -- > Yours truly

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CONFIG_XXX vs CONFIG_HAVE_XXX ?
by Alexandre Ferrieux May 19, 2025

May 19, 2025

Hi, What is the rationale behind having, for some feature XXX, both configuration macros CONFIG_XXX and CONFIG_HAVE_XXX ? For example, I'd love to use ftrace's new life-saving feature "funcgraph-retval" (which instantly shows the root cause of an error returned from a fully graphed function). Unfortunately, on all recent Debians the config says: CONFIG_HAVE_FUNCTION_GRAPH_RETVAL=y # CONFIG_FUNCTION_GRAPH_RETVAL is not set As a result, the feature is not available. Okay, I'll just enable and recompile. However, I'm wondering why in the first place such a situation is possible: what is the intention there ? Either we want the feature, or we don't (e.g. because it may incur some CPU or memory overhead), but why sit halfway in between ? Thanks in advance, -Alex

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how to begin contributing to the linux kernel
by Dileep Sankhla May 13, 2025

May 13, 2025

Hello everyone, 1. My background I am a professional software engineer with 1.5 years of experience. For 6-7 months, I worked on creating my own Unix-like kernel from scratch for my x86-64 laptop. I wrote the device drivers for NVMe over PCIe, a local APIC timer and interrupt controller (x2APIC mode), a PS/2 keyboard, the real-time clock, and terminal output. I developed my own UEFI bootloader and worked on an interrupt handling mechanism. I implemented a physical memory manager using the free stack data structure and an ext2 file system driver. I briefly worked on my own flat file system as an experiment. I also experimented with my own 64-bit paging for a while. That's it. I know a good amount of C (I think my skill in C is between beginner-intermediate level) and I have a year of experience using it. I also did Google Summer of Code with KDE in 2018. There I used C++. 2. My question How can I begin contributing to the linux kernel? I already have one contribution but that is about fixing a checkpatch.pl warning (see [0]). Now I think I want to begin fixing a beginner bug in a subsystem like "filesystem". I am interested in filesystems. I searched a lot about this over the internet but I can't figure out what I need to do and need to learn to begin contributing again. Thanks. Regards, Dileep [0]: https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git/commit/?…

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Documentation for Regmap API?
by Ali Nasrolahi May 3, 2025

May 3, 2025

Hi, I've been exploring the Regmap API and was wondering if there’s a dedicated documentation page that provides an overview or explanation of the API itself. So far, I’ve looked into the following: 1. https://docs.kernel.org/driver-api/index.html 2. The Documentation/ directory in both the mainline and linux-next trees. 3. The regmap tree mentioned in the MAINTAINERS file: --- REGISTER MAP ABSTRACTION M: Mark Brown <broonie(a)kernel.org> L: linux-kernel(a)vger.kernel.org S: Supported T: git git://git.kernel.org/pub/scm/linux/kernel/git/broonie/regmap.git F: Documentation/devicetree/bindings/regmap/ F: drivers/base/regmap/ F: include/linux/regmap.h --- Despite checking these locations, I couldn’t find a dedicated document explaining the Regmap API in detail. 1. Is there any such documentation available that I might have missed? 2. If not, I’d be happy to contribute and help write one. Should I bring this up on the linux-doc mailing list for further guidance on how to proceed? Any pointers or suggestions would be greatly appreciated. Thanks a lot, Ali

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Looking for advice on getting started with kernel development professionally
by Racz Zoli April 28, 2025

April 28, 2025

Hi all, I hope it's okay to ask this here. I understand this list is mostly for learning and discussion. I've been working on kernel-related projects in my spare time, including an experimental filesystem, a block level incremental backup utility, btrfs-progs and currently I`m working on a multithreaded disk usage analyzer like "du" but written from scratch. I'm really interested in contributing to the Linux kernel professionally and while I have over 15 years of programming experience in different areas - was wondering if anyone had advice or knew of any opportunities - internships, contract work, or mentoring programs. Totally understand if this isn't the right place to ask, but I'd be grateful for any tips or redirections. Thank you, Zoltan Racz.

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TCP pacing rate calculated even when TCP pacing is not used
by Richard April 28, 2025

April 28, 2025

Hi, I noticed with the output of ss -ti (example): > ESTAB 0 0 YYYYYY:40482 XXXXXX:imaps > cubic wscale:3,7 rto:228 rtt:27.02/9.695 ato:40 mss:1400 pmtu:1500 rcvmss:1400 advmss:1448 cwnd:10 bytes_sent:1132 bytes_acked:1133 bytes_received:53005 segs_out:41 segs_in:57 data_segs_out:10 data_segs_in:49 send 4.15Mbps lastsnd:66520 lastrcv:66496 lastack:66496 pacing_rate 8.29Mbps delivery_rate 594kbps delivered:11 app_limited busy:288ms rcv_rtt:17.25 rcv_space:25313 rcv_ssthresh:128820 minrtt:18.859 rcv_ooopack:1 snd_wnd:6136 rcv_wnd:128896 that for every tcp socket, the kernel calculates and maintains a *pacing_rate* even if TCP pacing is turned off (which is the default). I could observe this on several servers and many different linux versions too. Why does TCP do this? Isn't that a waste of memory and processing time to mantain when the default is not to use it? Thanks, -- Richard

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