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⏩ SIMD
Vectorization, Parallel Processing, Performance, CPU Instructions
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81211
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865.6
ms
Heterogeneous
Processing: A Strategy for
Augmenting
Moore's Law (2006)
linuxjournal.com
·
2d
·
Discuss:
Hacker News
📊
Data-Oriented Design
Same Engine, Multiple Gears: Parallelizing
Fixpoint
Iteration at Different
Granularities
(Extended Version)
arxiv.org
·
1d
🔀
Concurrency
AutoCleanML
– Intelligent ML Data
preprocessing
automation (pip install
autocleanml
)
dev.to
·
7h
·
Discuss:
DEV
📊
Data-Oriented Design
Main
Content ||
Math
∩ Programming
jeremykun.com
·
1d
🔄
Functional Programming
The
Prospero
Challenge
mattkeeter.com
·
1d
🔀
Concurrency
Parallel Track Transformers:
Enabling
Fast GPU Inference with Reduced
Synchronization
machinelearning.apple.com
·
20h
✨
Gemini
ManifoldKV
: Training-Free KV Cache Compression via
Euclidean
Outlier Detection
arxiv.org
·
15h
💾
Cache Coherency
‘India’s bet on smaller AI models may overlook CPUs’:
Ziroh
Labs CEO
Hrishikesh
Dewan
indianexpress.com
·
6h
✨
Gemini
Testing a 6200 and
comparison
with 6100
68kmla.org
·
16h
📊
Profiling
Building Your Modern Data Analytics Stack with Python,
Parquet
, and
DuckDB
kdnuggets.com
·
5h
📊
Data-Oriented Design
Guide: Getting started with
choosing
a Machine Learning CLIP Model for Smart Search ·
immich-app/immich
github.com
·
20h
✨
Gemini
Faster
AI Training
Unlocked
With New System For Massive Language Models
quantumzeitgeist.com
·
1d
⚡
Tokio
Using AI to
write
a
transpiler
dev.to
·
21h
·
Discuss:
DEV
🔨
Compilers
ROMEO
IS A DEAD MAN
Benchmarks
& PC Performance Analysis
dsogaming.com
·
3h
🚀
Performance Optimization
How
Anam
Achieved 250% Faster Inference Using
Zymtrace
Continuous GPU Profiling
zymtrace.com
·
1d
📊
Profiling
Running my
kernel
on real
hardware
kamkow1lair.pl
·
1d
·
Discuss:
Hacker News
🚀
Performance Optimization
Fine
Grained
Everything, and what comes after React Server
Components
blog.logrocket.com
·
1h
📊
Profiling
CPUs
are Back: The
Datacenter
CPU Landscape in 2026
newsletter.semianalysis.com
·
1d
·
Discuss:
r/hardware
💾
Cache Coherency
Concurrent
vs.
Parallel
Execution in LLM API Calls: From an AI Engineer’s Perspective
pub.towardsai.net
·
1d
⚡
Tokio
Passing the
Torch
: Reflections on ARC’s Journey and the Future of
Specialized
Processing
eetimes.com
·
12h
🚀
Performance Optimization
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