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🤝 Cooperative Threading
Green Threads, Userland Scheduling, M:N Threading, Runtime Design
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122233
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Show HN:
OctoStore
= Leader election as a service (single binary,
self-hostable
)
octostore.io
·
16h
·
Discuss:
Hacker News
🐹
Go Internals
Robust
partitioning
of cell contents by physical
instabilities
and biological clocks
nature.com
·
1d
🗺️
Region Polymorphism
Single-file multi-client MCP
gateway
with per-tool access
ctrl
mcp-x.org
·
10h
·
Discuss:
Hacker News
🌍
HTTP Servers
Building a
Regex
Engine with a team of parallel
Claudes
lesswrong.com
·
1d
🔤
Regex Engines
Live Update
Orchestrator
— The Linux Kernel
documentation
docs.kernel.org
·
10h
🧠
Memory Consistency
BlaiseLM/gocache
: A thread-safe, network-accessible LRU cache server written in Go.
github.com
·
15h
·
Discuss:
r/golang
🐹
Go Runtime
Cache-aware
disaggregated
inference for up to 40% faster long-context LLM
serving
together.ai
·
1d
·
Discuss:
Hacker News
,
r/LocalLLaMA
⏲️
Embedded GC
Technical "
whitepaper
" for
afl-fuzz
lcamtuf.coredump.cx
·
5h
·
Discuss:
Lobsters
🎲
Parser Fuzzing
Linux 7.0 Performance Events Prep For Intel
Xeon
Diamond
Rapids
phoronix.com
·
6h
📊
perf Tools
Functional
Optics
for Modern Java
blog.scottlogic.com
·
20h
✨
Gleam
Building
DamN64
: LLM-Assisted
N64
Development
vieux.fr
·
1d
·
Discuss:
Hacker News
🏗️
LLVM
Clawe
- open-source coordination layer for
OpenClaw
agents
lemmy.world
·
1d
🔗
Language Toolchains
Reflections
on Using Claude Code
ternarysearch.blogspot.com
·
15h
·
Discuss:
Hacker News
,
ternarysearch.blogspot.com
⚡
Live Coding
OLIX
: Compute
Manifesto
olix.com
·
1d
·
Discuss:
Hacker News
📡
Erlang BEAM
Quick
Stack
Tiedown
artlu.bearblog.dev
·
1d
🚂
Cranelift IR
The N-2
Imperative
: Why
Lean
Teams Must Chase the Edge
ashgaikwad.substack.com
·
3h
·
Discuss:
Substack
📦
Monorepos
Execution-Centric Characterization of
FP8
Matrix Cores, Asynchronous Execution, and Structured Sparsity on AMD
MI300A
arxiv.org
·
15h
🎯
CPU Dispatch
Two Ways to Move
Tensors
Without Stopping: Inside
vLLM
's Async GPU Transfer Patterns
dev.to
·
22h
·
Discuss:
DEV
💾
Zero-Copy
AFMTJ
Model For In-Memory Computing (University of
Arizona
)
semiengineering.com
·
2d
🧠
Memory Models
Parallel Track Transformers:
Enabling
Fast GPU Inference with Reduced
Synchronization
machinelearning.apple.com
·
2d
🗺️
Region Inference
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