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xbyak
a JIT assembler for x86(IA-32)/x64(AMD64, x86-64) MMX/SSE/SSE2/SSE3/SSSE3/SSE4/FPU/AVX/AVX2/AVX-512 by C++ header
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
Their marketing material states: "Facilitating machines to go beyond pattern recognition and into cause-and-effect learning".
I wonder what they are referring to. Are they accelerating what SHAP's GradientExplainer [1] does? (namely: crafting inputs at a specific layer, propagating forward to see the influence on class prediction, and sort of backpropagating to pixels) Or is it about something more related to Judea Pearl's work on causality?
[1] https://github.com/slundberg/shap#deep-learning-example-with...
About 6 months ago my job required that I finally get my hands dirty writing x86 assembly. It's my first real foray into assembly coding.
There are a few aspects of it that I'm really enjoying:
- I can now actually understand the disassembled code that I see during debugging. This includes recognizing some of the assembly patterns that appear because of ABI requirements and/or common programming idioms.
- I'm becoming comfortable with a programming idiom that I've never really used in the past: registers, flags, various kinds of memory addressing.
- It helps my understanding of compilers' lower levels / backends, and the related problems: register allocation, instruction selection, etc.
- It provides a clear path for my first attempt at writing JIT code (using Xbyak[0]).
So as Richard Feynman might have said, it's great fun!
[0] https://github.com/herumi/xbyak