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⚡ Performance Mythology

Benchmarking Folklore, Optimization Legends, Speed Misconceptions, Profiling Truth

IBM boasts new Power11 chips are stingy on power usage
theregister.com·15h
🖥️Hardware Architecture
Crunching The News For Fun And Little Profit
hackaday.com·11m
📰RSS Archaeology
10 NumPy One-Liners to Simplify Feature Engineering
machinelearningmastery.com·1d
🧠Machine Learning
How I use LLMs to learn new subjects
seangoedecke.com·1d
💻Local LLMs
Build an AI-Ready Data Foundation with MongoDB Atlas on Azure
mongodb.com·6h·
Discuss: Hacker News
🏺Database Archaeology
Being a psychologist to your (over)thinking LLM
specy.app·1d·
Discuss: Hacker News
🔗Constraint Handling
The Impact of Event Data Partitioning on Privacy-aware Process Discovery
arxiv.org·10h
🧬PostgreSQL Forensics
Torpor: GPU-Enabled Serverless Computing for Low-Latency, Resource-Efficient Inference
arxiv.org·10h
🌊Streaming Systems
VGMShield: Mitigating Misuse of Video Generative Models
arxiv.org·1d
🖼️JPEG Archaeology
Controlling Thinking Speed in Reasoning Models
arxiv.org·1d
🧮Constraint SMT
Show HN: LocalCloud – Run complete AI stack locally for $0
github.com·23h·
Discuss: Hacker News
🏠Homelab Orchestration
Lambda calculus cooked N ways: Benchmarks for capture-avoiding substitution
github.com·1d·
Discuss: Hacker News
λLambda Formalization
How I Built an Agentic RAG Application to Brainstorm Conference Talk Ideas
dev.to·14h·
Discuss: DEV
🌊Streaming Systems
ASSURE: Metamorphic Testing for AI-powered Browser Extensions
arxiv.org·10h
⚡Proof Automation
AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs
arxiv.org·10h
⚡Incremental Computation
Per-Row Activation Counting on Real Hardware: Demystifying Performance Overheads
arxiv.org·10h
⚙️Modern Assembly
My Year-Long Journey with AI in Software Development and Reflections on the Role of AI-devtools
dev.to·1d·
Discuss: DEV
⚡Proof Automation
Unlocking Performance: How C++ Optimization Techniques in Compilers Outperform Python
dev.to·2d·
Discuss: DEV
🧮Compute Optimization
Attributing Data for Sharpness-Aware Minimization
arxiv.org·1d
📊Learned Metrics
🏆Creating Purpose-Driven Solutions with AI, Data Science, and Smart Secure Systems💻
dev.to·21h·
Discuss: DEV
👁️Observatory Systems
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