Interested in GraphQL, the JVM, TypeScript, Relational DB's (particularly Postgres), and Query Engines.
Github: https://github.com/GavinRay97
Email: [email protected]
Twitter: @GavinRayDev
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The least painful C/C++ build tool I've used is xmake
https://github.com/xmake-io/xmake
The reason why I like it (beyond ease-of-use) is that it can spit out CMakeLists.txt and compile_commands.json for IDE/LSP integration and also supports installing Conan/vcpkg libraries or even Git repos.
set_project("myapp")
set_languages("c++20") add_requires("conan::fmt/11.0.2", {alias = "fmt"})
add_requires("vcpkg::fmt", {alias = "fmt"})
add_requires("git://github.com/fmtlib/fmt v11.0.2", {alias = "fmt"})
target("myapp")
set_kind("binary")
add_files("src/*.cpp")
add_packages("fmt")
# Generate compile_commands.json and CMakeLists.txt
$ xmake project -k compile_commands
$ xmake project -k cmake # Build + run
$ xmake && xmake run myapp
I'd not heard of this before, quick search turned up this 2025 post which suggests "fused cross-entropy loss" kernel was integrated into PyTorch:
https://pytorch.org/blog/peak-performance-minimized-memory/
> "The integration involves modifying the TransformerDecoder module in torchtune to bypass the linear layer computation, allowing the Liger Fused Linear Cross Entropy Loss to handle the forward projection weights. "
It doesn't make sense to me that an embedded VM/interpreter could ever outperform direct code
You're adding a layer of abstraction and indirection, so how is it possible that a more indirect solution can have better performance?
This seems counterintuitive, so I googled it. Apparently, it boils down to instruction cache efficiency and branch prediction, largely. The best content I could find was this post, as well as some scattered comments from Mike Pall of LuaJIT fame:
https://sillycross.github.io/2022/11/22/2022-11-22/
Interestingly, this is also discussed on a similar blogpost about using Clang's recent-ish [[musttail]] tailcall attribute to improve C++ JSON parsing performance:
https://blog.reverberate.org/2021/04/21/musttail-efficient-i...
This other comment by the same user in one of the links from 2 weeks ago I found the easiest to understand, in brief:
> At least they're throwing consumers a bone via the ARK deal.
https://www.ark-funds.com/funds/arkvx
The fund is invested in most of the hot tech companies.
