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📊 Approximate Computing
Probabilistic Data Structures, Sketching, Sampling, Trade-offs
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14692
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196.2
ms
Approximation
of Functions: Optimal
Sampling
and Complexity
arxiv.org
·
6d
🔢
NumPy
A
Proof
of P =
NP
dev.to
·
1d
·
Discuss:
DEV
🌐
Distributed Systems
Modern
Trends
In
Floating-Point
semiengineering.com
·
4d
🔢
NumPy
Fast
Autoscheduling
for Sparse ML
Frameworks
ajroot.pl
·
5d
·
Discuss:
Hacker News
,
r/Compilers
⚙️
Query Compilers
From Sequential to Parallel:
Reformulating
Dynamic Programming as GPU Kernels for Large-Scale Stochastic
Combinatorial
Optimization
arxiv.org
·
3d
📊
Columnar Engines
Fastfood
: Approximate Kernel Expansions in
Loglinear
Time
paperium.net
·
2d
·
Discuss:
DEV
🧭
Vector Databases
Stochastic
Interpolants
: A Unifying Framework for Flows and
Diffusions
dev.to
·
5d
·
Discuss:
DEV
📊
Columnar Engines
Human-like Search for Modern
Applications
anvitra.ai
·
2d
·
Discuss:
Hacker News
🧭
Vector Databases
The
Heartbeat
of Tetris 🟥🟥🟥🟥: What a
1x1
Pixel Taught Me About Concurrency
qianarthurwang.substack.com
·
6d
·
Discuss:
r/programming
🔄
Concurrency
An
attempt
at a
First-Proof
AI challenge
abhvio.us
·
1d
·
Discuss:
Hacker News
🌐
Distributed Systems
Training Design for Text-to-Image Models:
Lessons
from
Ablations
huggingface.co
·
6d
📊
Columnar Engines
Anthropic
's Performance Take-Home: A 65x Optimization (For
Dummies
)
ikot.blog
·
6d
·
Discuss:
Hacker News
⚡
SIMD Optimization
An introduction to
lockless
algorithms [
LWN.net
]
lwn.net
·
16h
🛡️
Memory Safety
Sequential Attention: Making AI models
leaner
and faster without
sacrificing
accuracy
research.google
·
5d
·
Discuss:
Hacker News
,
r/LocalLLaMA
📊
Columnar Engines
As
Rocks
May Think
evjang.com
·
6d
·
Discuss:
Hacker News
,
r/programming
🤖
AI
The Graph Theory of
Circuit
Sculptures
hackaday.com
·
6d
💡
Optical Computing
Leading AI models struggle to
solve
original
math
problems
phys.org
·
12h
🔢
NumPy
A Note on
Flat
Abstract
Syntax
Trees
gist.github.com
·
9h
·
Discuss:
Hacker News
⚙️
Query Compilers
Deep dive into
Hierarchical
Navigable
Small Worlds
amandeepsp.github.io
·
2d
·
Discuss:
Hacker News
,
r/Zig
,
r/programming
📇
Indexing Strategies
Is Your Machine Learning
Pipeline
as Efficient as it Could Be?
kdnuggets.com
·
3d
📊
Columnar Engines
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