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#optimization

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New article on the blog!

This time, it's about how I optimized an algorithm which turns byte offsets into line/column numbers and UTF-16 offsets.

Most of the performance improvement came from the use of SIMD to efficiently count ASCII characters.

beeb.li/blog/optimizing-text-o

beeb.li · Optimizing Text Offset CalculationsA tale of optimization for an algorithm that turns byte offsets into line and column numbers, and UTF-16 offsets. The final implementation leverages SIMD and fixes several inefficiencies in the original solution.
#rust#RustLang#SIMD

I love peeking into the Rust standard library's source code. Every (commonly used) function is so carefully and lovingly optimized, it feels like a bonsai garden. Every line of code has received at least an hour of attention.

If you're curious as to what inspired this post: doc.rust-lang.org/nightly/src/. Feel free to share anything similar you've run into, from std or otherwise.

doc.rust-lang.orgmacros.rs - sourceSource of the Rust file `library/core/src/slice/iter/macros.rs`.

New blog post, the fourth in my series on heat exchanger network design. This post, *A representation for heat exchanger network configurations*, presents a representation suitable for a stochastic optimization method, considering stream splitting and cutting.

homepages.ucl.ac.uk/~ucecesf/b

www.homepages.ucl.ac.ukQTHEN: 4. A representation for heat exchanger network configurations

One frequently missed HTML optimization opportunity are attribute value defaults—attribute-value combinations that can be left out (e.g., `type=text` on `input` elements).

I maintain a list of these defaults that was just updated.

HTML Minifier Next (maintained and compatible fork of HTML Minifier) is likely to get an option to auto-strip these from HTML code.

meiert.com/blog/optional-html/

meiert.comOptional HTML: Everything You Need to Know · Jens Oliver Meiert
More from Jens Oliver Meiert 🇺🇦 🇵🇸

“The farmer of the future is part biologist, part data scientist, and part roboticist—but is still 100% an optimist who plants a seed and believes in tomorrow.” – Futurist Jim Carroll

This quote captures the essence of the modern agricultural professional!

The fact is, the sepia-toned image of a world-weary farmer with a pitchfork is a relic. Today’s farmers and ranchers are some of the most innovative people I know.

With that in mind, this summary is about the second type of farmer and provides a roadmap for that future-positive farmer.

The Landscape: 10 Trends Redefining Agriculture

To succeed tomorrow as a farmer today, you must understand the powerful forces reshaping your world. These trends are not distant possibilities; they are active realities creating massive opportunities.

AI-Driven Precision Agriculture. AI analyzes data from drones, sensors, and satellites to create precise maps, allowing farmers to optimize the use of irrigation, fertilizer, and pesticides, which boosts yields while reducing costs and environmental impact.

Autonomous Operations & 24-Hour Farming. The future of farming is happening faster than you think, with driverless tractors and weed-zapping robots becoming a reality.

Accelerated Agricultural Science & Genomics. Agriculture is fundamentally about science, and science is accelerating at an exponential rate. Advances in genomics, nanotechnology, and bioinformatics are transforming the industry.

Hyper-Connectivity & Livestock Monitoring. We are firmly in the era of the "connected cow," with "Fitbits for cows" providing a constant stream of data.

Vertical Farming & Controlled Environment Agriculture (CEA). As the global population grows and arable land shrinks, farming is moving indoors.

Data-Driven Decision Making. The modern farm generates a massive amount of data. AI and predictive analytics can process this data.

Generational Transformation. The tech-savvy "iPod generation" is taking over the family farm.

The Rise of "Just-in-Time Knowledge". The pace of change and scientific discovery has made it impossible for any single person to be an expert in everything. 

Sustainability & Food Security. A core challenge is that global food production must double in the next 30 years, with little new arable land available.

Supply Chain Disruption & E-commerce. The agricultural supply chain is being reshaped by everything from global trade volatility to new technologies like blockchain for food safety and traceability.

These aren't crazy, science-fiction-like ideas - these are real trends happening now!

And they define the future of farming.

----

**#Agriculture** **#Innovation** **#Technology** **#Farming** **#Data** **#Robotics** **#Precision** **#Sustainability** **#Future** **#Optimization**

Original post: jimcarroll.com/2025/09/decodin

Replied in thread

@glyph @yantor3d

Yes, how namespace lookups work is fairly well known, I thought. But I disagree with the basis for this point of view - you're optimizing for the wrong thing.

An extra namespace lookup costs a few CPU cycles and possibly a memory access or two. Small beer at best.

Using qualified names saves developer brainpower, reduces errors, and makes debugging easier.

Developer /debugger time is the most precious resource most software teams have. Optimize for it. If you end up in the position where performance is critical (and insufficient) then you can optimize the hotspots by putting a `frob_func = frob.fnord.func` in that module *after* importing frob.fnord.func, so it's still mostly obvious where it's coming from.