🐿️ ScourBrowse
LoginSign Up
You are offline. Trying to reconnect...
Copied to clipboard
Unable to share or copy to clipboard
💨 Cache Optimization

Data Locality, Cache-friendly Algorithms, Memory Hierarchies, Performance

Kubernetes Cost Optimization May Be Doing More Harm Than Good
linuxinsider.com·11h
🏠Homelab Orchestration
Passionate enthusiast builds a fully functional processor out of old memory chips — hand-solders every wire, writes 1800 lines of assembler code, and makes it p...
tomshardware.com·3d
🧲RISC-V Archaeology
Let Me Cook You a Vulnerability: Exploiting the Thermomix TM5
synacktiv.com·1d·
Discuss: Lobsters, Hacker News
🔒Hardware Attestation
Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis
arxiv.org·20h
🧮Kolmogorov Complexity
Enabling Rapid Genomic Analysis with Illumina Dragen on Amazon EC2 F2 Instances
aws.amazon.com·2d·
Discuss: Hacker News
⚙️Compression Benchmarking
LiLM-RDB-SFC: Lightweight Language Model with Relational Database-Guided DRL for Optimized SFC Provisioning
arxiv.org·1d
🌀Brotli Internals
Almost Always Auto (2013)
herbsutter.com·14h·
Discuss: Hacker News
🔒Type Safety
Using AMD MI300X for High-Throughput, Low-Cost LLM Inference
herdora.com·5d·
Discuss: Hacker News
⚡Performance Mythology
Compressed data structures for Heegaard splittings
arxiv.org·1d
🕳️Persistent Homology
Python Fundamentals: case
dev.to·11h·
Discuss: DEV
✅Format Verification
Advancing Retrieval-Augmented Generation for Structured Enterprise and Internal Data
arxiv.org·20h
🔍Information Retrieval
Scaling service to handle 20x capacity within 10-15 seconds
reddit.com·6h·
Discuss: r/kubernetes
🌊Streaming Systems
Overcoming catastrophic forgetting in neural networks
arxiv.org·2d
🧠Machine Learning
Defeating Memory Leaks With Zig Allocators
tgmatos.github.io·2d·
Discuss: Hacker News, r/programming
🔒Type Safety
I've been coding with AI for two years. Here is what I've learned
nathanpeck.com·21h·
Discuss: Hacker News
💾Persistence Strategies
Exploring Prompt Learning: Using English Feedback to Optimize LLM Systems
towardsdatascience.com·1d
💻Local LLMs
Don’t Waste Your Labeled Anomalies: 3 Practical Strategies to Boost Anomaly Detection Performance
towardsdatascience.com·7h
🌲B-tree Forensics
From Equal Weights to Smart Weights: OTPO’s Approach to Better LLM Alignment
towardsdatascience.com·2d
🧮Kolmogorov Bounds
ADHD Devs: Does Rust's structure help or hinder your brain?
reddit.com·2d·
Discuss: r/rust
🦀Rust Macros
Show HN: I built an SDK for building an AI RAG app with Supabase and pgvector
github.com·1d·
Discuss: Hacker News
🌀Brotli Internals
Loading...Loading more...
AboutBlogChangelogRoadmap