devloperdevesh / devloperdevesh/FaultPlane

[Feat/Perf]: Implement Vectorized SIMD (AVX-512) Cache-Oblivious B-Tree Lookup Index inside internal/storage/memory.go

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enhancement
Dominant language
Go
Stars
2
Forks
1
Avg merge
14m
Merged PRs (30d)
57

Description

Problem

As short-lived asynchronous tenant metrics context tracking structures expand to tens of millions of concurrent workflow paths inside local storage registers, pointer-heavy lookup nodes break processor hardware cache boundaries. This causes CPU L1/L2 cache misses under intense load surges, throttling performance down to standard software limits.


Proposed Solution

Refactor the registry indexing architecture within internal/storage/memory.go to leverage a high-performance Vectorized Cache-Oblivious Indexing Core.

  • Group state lookup metadata properties together within fixed contiguous memory block layouts designed to fit precisely into 64-byte structural cache lines.
  • Write native Go assembly files that leverage Intel/AMD AVX-512 vector execution registers to execute search scanning loops on up to 8 structural memory paths concurrently within a single processor clock instruction cycle.
  • Keep structural tracking bounds locked to raw system cache boundaries to eliminate cache line line pollution completely during heavy parallel writes.

Alternatives

  • Standard concurrent map allocation sharding models, which reduce thread lock contentions but fail to optimize instruction execution layouts over bare silicon cache boundaries.

Use Case

Guarantees flat P99.999 search tracking lookup velocities during multi-tenant connection rushes, ensuring the proxy platform handles extreme data traffic flows effortlessly.


Additional Notes

Ensure compatibility layers match the interface properties defined inside the primary system layout guidelines documentation sheets.

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reading internal/storage/memory.go and the primary system layout guidelines documentation referenced in the issue. Determine how the registry indexing architecture and compatibility interfaces are currently defined before assessing the proposed cache-oblivious, AVX-512 assembly design. Done means the indexing core is implemented in the specified storage area, includes the requested native assembly and cache-layout constraints, and remains compatible with the documented interfaces.

Written by the indexing model from the issue text.

Assessment

Tech stack
go
Domain
backend, performance
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Quiet
Clarity
Needs clarification
Newbie friendliness
25/100

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