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Nitin Gupta

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Articole: 23

  1. Tensor Deduplication for Multi-Model Inference

    (Nitin Gupta)

    Summary Problem: Multi-model workloads are the norm: A/B tests, customer fine-tunes, safety variants, multi-stage pipelines.

  2. Shared Backbones: Loading Weights Once, Serving Many Models

    (Nitin Gupta)

    I keep running into the same pattern when trying to self-host models (which is a lot of fun): we run several big models side by side, all of them valuable, all of them slightly different, and all of them wasting VRAM by reloading nearly the same weights.

  3. Proactive Compaction

    (Nitin Gupta)

    This feature has now been accepted and merged in the upstream kernel and will be part of kernel release 5.9.

  4. Linux kernel hugepage allocation latencies

    (Nitin Gupta)

    Some drivers needs to allocate almost all memory as hugepages to reduce (on-device or CPU) TLB pressure.

  5. A layered object store design in Elixir (Part VI)

    (Nitin Gupta)

    We built an object store from scratch in Elixir using a layered design approach.

  6. A layered object store design in Elixir (Part V)

    (Nitin Gupta)

    Part I, introduces the overall design of our object store.

  7. A layered object store design in Elixir (Part IV)

    (Nitin Gupta)

    Part I, introduces the overall design of our object store.

  8. A layered object store design in Elixir (Part III)

    (Nitin Gupta)

    Part I layer.

  9. A layered object store design in Elixir (Part II)

    (Nitin Gupta)

    Part I, introduces the overall design of our object store.

  10. A layered object store design in Elixir (Part I)

    (Nitin Gupta)

    I recently designed an object store from scratch in Elixir.

  11. Elixir collections

    (Nitin Gupta)

    Elixir is a function programming language that I have been using a lot in recent months to build all kinds of applications.

  12. Subtle Errors in C++ Programs

    (Nitin Gupta)

    I recently stumbled upon a subtle bug in a benchmark code which again reminds me to never use C++ again, if I can.

  13. Setting Up Backup Snapshots on Linux

    (Nitin Gupta)

    For some time I’ve been looking for a backup solution for Linux that can periodically take snapshots of data, allowing me to go back in history of any file just like git.

  14. Google Drive on Linux

    (Nitin Gupta)

    There is no official Google drive client for Linux.

  15. Faster compilation with distcc

    (Nitin Gupta)

    Often, you have more than one system at your disposal but no clear way of distributing your compilation workloads over to all or some of them.

  16. Compressed RAM disk for Windows, The Virtual Way!

    (Nitin Gupta)

    Recently, I developed Linux kernel driver which creates generic RAM based compressed block devices (called zram).

  17. Comprehensive graphical Git diff viewer

    (Nitin Gupta)

    Since a long time, I was looking for a graphical git diff viewer which could show original and modified file side-by-side and highlight the changes.

  18. Linux kernel workflow with Git

    (Nitin Gupta)

    You worked on some part of Linux kernel.

  19. ccache to speed-up Linux kernel compile

    (Nitin Gupta)

    In case you are unfamiliar with ccache, its a “compiler cache”.

  20. SLOB memory allocator

    (Nitin Gupta)

    Linux kernel has few SLAB allocator variants included: SLAB, SLUB and SLOB.

  21. Anti-tip of the month

    (Nitin Gupta)

    Very old but still as relevant… and very interesting too!

  22. Fedora 10 instability issue solved!

    (Nitin Gupta)

    One of my Fedora 10 systems used to freeze very frequently.

  23. Difference Engine - Harnessing Memory Redundancy in Virtual Machines

    (Nitin Gupta)

    Here is link to paper (pdf) (MP3) Recently I came across this paper published in OSDI ‘08.