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⏩ SIMD
Vectorization, Parallel Processing, Performance, CPU Instructions
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Hyperparameter
Search in Machine Learning
dev.to
·
2d
·
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DEV
✨
Gemini
Fastfood
: Approximate Kernel Expansions in
Loglinear
Time
dev.to
·
2d
·
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DEV
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Gemini
Local Agent
Bench
: Test 11 small LLMs on tool-calling
judgment
, on CPU, no GPU
github.com
·
2d
·
Discuss:
Hacker News
,
r/LocalLLaMA
✨
Gemini
Understanding How GIL Affects
Checkpoint
Performance in
PyTorch
Training
shayon.dev
·
3d
·
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Hacker News
🔀
Concurrency
Writing an LLM from scratch, part
32d
--
Interventions
: adding attention bias
gilesthomas.com
·
3d
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Hacker News
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Performance Optimization
Balancing
Inexactness
in Mixed Precision Matrix
Computations
arxiv.org
·
4d
🔄
Functional Programming
PatchFlow
: Leveraging a
Flow-Based
Model with Patch Features
arxiv.org
·
3d
✨
Gemini
Efficient
near-telomere-to-telomere
assembly of
nanopore
simplex reads
nature.com
·
4d
·
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Hacker News
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Performance Optimization
Processes and Threads -
Discourse
on
Concurrency
, Part I
ayanmali.substack.com
·
3d
·
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Substack
🔀
Concurrency
Fast
Autoscheduling
for Sparse ML
Frameworks
ajroot.pl
·
5d
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Hacker News
,
r/Compilers
🔨
Compilers
What I
wish
I
knew
before building a vibe coding platform
imagine.dev
·
3d
·
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Hacker News
⚡
Tokio
ahead-of-time wasm
gc
in
wastrel
wingolog.org
·
3d
·
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Lobsters
,
Hacker News
🌐
WebAssembly
Flow-Based Programming:
Seminal
Texts and
Theoretical
Foundations
repolex.ai
·
4d
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Hacker News
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Concurrency
Building Highly Efficient Inference System for
Recommenders
Using
PyTorch
pytorch.org
·
3d
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Hacker News
✨
Gemini
So
whats
the next word, then? Almost-no-math
intro
to transformer models
matthias-kainer.de
·
3d
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Gemini
Hamming
Distance for Hybrid Search in
SQLite
notnotp.com
·
5d
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r/programming
📊
Data-Oriented Design
Show HN: C discrete event SIM w
stackful
coroutines runs 45x faster than
SimPy
github.com
·
6d
·
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Hacker News
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Tokio
A Modern Python Stack for Data Projects (uv +
ruff
+ ty +
Marimo
+ Polars)
mameli.dev
·
5d
·
Discuss:
r/programming
🌐
WebAssembly
Sequential Attention: Making AI models
leaner
and faster without
sacrificing
accuracy
research.google
·
5d
·
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Hacker News
,
r/LocalLLaMA
✨
Gemini
Training language models on
TPUs
shouldn't be
scary
dogac.dev
·
4d
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Performance Optimization
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