Hey there! In my latest blog post, I’ve curated a collection of intriguing links! From exploring advanced LED strip technology on Amazon to engaging with electronics tutorials by GreatScott!, curated GitHub projects, and more. Dive into AI model battles, super-fast static search trees, or learn weather monitoring with Grafana. Plus, get some invaluable software engineering insights about communicating like a Senior and mastering crucial frameworks. Happy browsing!

• BTF-LIGHTING WS2805 IC RGBCCT Addressable Dual Data LED Strip 5050SMD 16.4FT 60LED/m 10Pixel/m 5 Colors in 1 Chasing Color RGB+CCT 3000K-6500K LED Lights Strip IP30 DC24V(No Adapter or Controller): Amazon.com: BTF-LIGHTING WS2805 IC RGBCCT Addressable Dual Data LED Strip 5050SMD 16.4FT 60LED/m 10Pixel/m 5 Colors in 1 Chasing Color RGB+CCT 3000K-6500K LED Lights Strip IP30 DC24V(No Adapter or Controller) : Tools & Home Improvement
• GreatScott!: Awesome Electronics Tutorials, Projects and How To´sWARNING!: DO NOT SEND MAIL TO THE ADDRESS GIVEN BY THE IMPRINT!Imprint/Impressum:GreatScott!c/o Block Ser…
• Oświetlenie schodów:
• staircase-lights: Contribute to robertalexa/staircase-lights development by creating an account on GitHub.
• BATTLE OF THE BOTS: Watch as three advanced AI models (GPT-4o, Gemini 1.5 Pro, and Claude 3 Sonnet) compete in real-time, analyzing market trends and making trading decisions.
• Static search trees: 40x faster than binary search: Table of Contents 1 Introduction 1.1 Problem statement 1.2 Recommended reading 1.3 Binary search and Eytzinger layout 1.4 Hugepages 1.5 A note on benchmarking 1.6 Cache lines 1.7 S-trees and B-trees 2 Optimizing find 2.1 Linear 2.2 Auto-vectorization 2.3 Trailing zeros 2.4 Popcount 2.5 Manual SIMD 3 Optimizing the search 3.1 Batching 3.2 Prefetching 3.3 Pointer arithmetic 3.3.1 Up-front splat 3.3.2 Byte-based pointers 3.3.3 The final version 3.4 Skip prefetch 3.5 Interleave 4 Optimizing the tree layout 4.1 Left-tree 4.2 Memory layouts 4.3 Node size \(B=15\) 4.3.1 Data structure size 4.4 Summary 5 Prefix partitioning 5.1 Full layout 5.2 Compact subtrees 5.3 The best of both: compact first level 5.4 Overlapping trees 5.5 Human data 5.6 Prefix map 5.7 Summary 6 Multi-threaded comparison 7 Conclusion 7.1 Future work 7.1.1 Branchy search 7.1.2 Interpolation search 7.1.3 Packing data smaller 7.1.4 Returning indices in original data 7.1.5 Range queries In this post, we will implement a static search tree (S+ tree) for high-throughput searching of sorted data, as introduced on Algorithmica. We’ll mostly take the code presented there as a starting point, and optimize it to its limits. For a large part, I’m simply taking the ‘future work’ ideas of that post and implementing them. And then there will be a bunch of looking at assembly code to shave off all the instructions we can. Lastly, there will be one big addition to optimize throughput: batching.
• How to monitor your local weather with Grafana: New to Grafana Cloud? Learn how to quickly transform raw JSON data into a dashboard with this simple, step-by-step example.
• 5 Lessons I learned the hard way from 10+ years as a software engineer: Guest post by Staff Engineer, Gourav Khanijoe
• Communicate like a Senior: Use clear deltas: Level up your performance reviews and influence. Get clear expectations to the next level.
• The one framework every engineer should know: Solve problems, ace interviews, and communicate like an executive using the MECE principle