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⚙️ Compilers
LLVM, Parsing, Code Generation, Optimization, Language Design
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8544
posts in
16.8
ms
SoCal: A Language for Memory-Layout
Factorization
of Recursive
Datatypes
📐
Language Theory
arxiv.org
·
1d
Changes, New Features, and
Fixes
🧩
programming
gcc.gnu.org
·
6d
·
Lobsters
,
Hacker News
,
r/cpp
Async
Rust never left the
MVP
state - Blog
🧩
programming
tweedegolf.nl
·
2d
·
Lobsters
,
Hacker News
,
Hacker News
,
r/rust
CTalkobt/m65compiler
: Mega65 Compiler Suite (ca45, cc45)
🎰
Bytecode VMs
github.com
·
5d
Meta-harness on
Islo
: A 200-line
POC
🎰
Bytecode VMs
zozo123.github.io
·
1d
·
Hacker News
A
bidirectional
typechecking
puzzle>
📐
Language Theory
haskellforall.com
·
1d
·
Lobsters
,
Hacker News
,
Hacker News
GCC
16.1 released
🧩
programming
lwn.net
·
6d
·
Hacker News
Luke Plant: Inverse
Sapir-Whorf
and programming languages
🧩
programming
lukeplant.me.uk
·
5d
·
Lobsters
DITRON
: Distributed Multi-level
Tiling
Compiler for Parallel Tensor Programs
🎨
Graphics Programming
arxiv.org
·
11h
Deep Graph-Language
Fusion
for
Structure-Aware
Code Generation
🧩
programming
arxiv.org
·
11h
From TinyGo to gc Compiler: Extending
Zorya
's
Concolic
Framework to Real-World Go Binaries
🧩
programming
arxiv.org
·
11h
Beyond Rules: LLM-Powered
Linting
for Quantum
Programs
📐
Language Theory
arxiv.org
·
11h
AutoRAGTuner
: A
Declarative
Framework for Automatic Optimization of RAG Pipelines
🧩
programming
arxiv.org
·
11h
PipeRTL
: Timing-Aware Pipeline Optimization at IR-Level for
RTL
Generation
🎰
Bytecode VMs
arxiv.org
·
1d
Mechanical Conscience: A Mathematical Framework for
Dependability
of Machine
Intelligenc
📐
Language Theory
arxiv.org
·
11h
Improving LLM Code Generation via
Requirement-Aware
Curriculum
Reinforcement Learning
🧩
programming
arxiv.org
·
2d
Mitigating
False
Positives
in Static Memory Safety Analysis of Rust Programs via Reinforcement Learning
🎰
Bytecode VMs
arxiv.org
·
11h
Dependency
Parsing
Across the Resource Spectrum: Evaluating
Architectures
on High and Low-Resource Languages
📐
Language Theory
arxiv.org
·
1d
From Code to Prediction:
Fine-Tuning
LLMs for Neural Network Performance Classification in
NNGPT
🧩
programming
arxiv.org
·
11h
To
Diff
or Not to
Diff
? Structure-Aware and Adaptive Output
Formats
for Efficient LLM-based Code Editing
🧩
programming
arxiv.org
·
5d
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