CPU Cache-Friendly Data Structures in Go: 10x Speed with Same Algorithm
skoredin.pro·16h·
Discuss: Hacker News
⚡Cache Optimization
LLM Optimization Notes: Memory, Compute and Inference Techniques
gaurigupta19.github.io·7h·
Discuss: Hacker News
🗺️Region Inference
The Next Computing Revolution: Bringing Processing Inside Memory
computer.org·2h·
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🧠Memory Models
Beating the L1 cache with value speculation (2021)
mazzo.li·7h·
Discuss: Lobsters
🔮Branch Predictors
Caching in Vector Database: What You Need to Know
dev.to·14h·
Discuss: DEV
⚡Cache Optimization
Algorithms For Black-Box, Physical-to-DRAM Address-Mapping Recovery (Georgia Tech, CNRS, Et Al.)
semiengineering.com·2h
🏷️Memory Tagging
Highly concurrent in-memory counter in GoLang
engineering.grab.com·23h
🧠Memory Models
A Primer on Memory Consistency and Cache Coherence, Second Edition
link.springer.com·1d·
Discuss: r/programming
🧠Memory Models
A case for learning GPU programming with a compute-first mindset – Maister's Gr
themaister.net·11h·
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🔗Language Toolchains
Advanced Vulkan Rendering: Building a Modern Frame Graph and Memory Management System
dev.to·10h·
Discuss: DEV
🌊Dataflow Languages
What happened to Longcat models? Why are there no quants available?
huggingface.co·5h·
Discuss: r/LocalLLaMA
✨Gleam
How to run LLMs on a 1GB (e-waste) GPU without changing a single line of code
reddit.com·11h·
Discuss: r/LocalLLaMA
💾Cache Algorithms
Cuckoo hashing improves SIMD hash tables
reiner.org·2d·
Discuss: Lobsters, Hacker News, r/rust
🏗️Hash Tables
Reflections on Designing a Search Autocomplete System
torontostudygroup.github.io·1d·
Discuss: DEV
🌿Trie Structures
11 ways to reduce your Google Cloud compute costs today
cloud.google.com·7h
⏲️Embedded GC
Rigorous Evaluation of Microarchitectural Side-Channels with Statistical Model Checking
arxiv.org·19h
📱Bytecode Design
Locality, and Temporal-Spatial Hypothesis
brooker.co.za·1d·
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💾Persistent Heaps
Thundering Herd Problem (Cache Stampede): Solutions & Prevention | System Design Tutorial
howtech.substack.com·1d·
Discuss: r/programming
🔗Weak References
Achieving 1.2 TB/s Aggregate Bandwidth by Optimizing Distributed Cache Network
juicefs.com·1d·
Discuss: Hacker News
🌍HTTP Servers
Souvenir
deprogrammaticaipsum.com·20h
🔗Weak References