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How FPGAs work, and why you'll buy one
Today, pretty much everyone has a CPU, a DSP and a GPU, buried somewhere in their PC, phone, car, etc. Most don't know or care that they bought any of these, but they did.
Yossi Kreinin
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Visit yosefk.com → RSS feedOn Hacker News Sep 2010 – Sep 2026
Software Engineering 14Systems & Performance 9Career & Management 7Tech Industry & Business 6Programming Languages 5Hardware & Electronics 4
2
A 100x speedup with unsafe Python
We're going to speed up some numpy code by 100x using "unsafe Python." Which is not quite the same as unsafe Rust, but it's a bit similar, and I'm not sure what else to call it... you'll see. It's not something you'd use in most Python code, but it's handy on occasion, and I think it shows "the nature of Python” from…
3
The “high-level CPU” challenge (2008)
Do you love ("very") high-level languages? Like Lisp, Smalltalk, Python, Ruby? Or maybe Haskell, ML? I love high-level languages.
4
Low-level is easy
My previous entry has the amazingly interesting title "Blogging is hard". Gee, what a wuss, says the occasional passer-by. Gotta fix my image, fast. Think, think, think! OK, here's what I'm going to tell you: low-level programming is easy. Compared to higher-level programming, that is. I'm serious.
5
Parallelism and concurrency need different tools
In this piece, I disagree with Joe Armstrong and Rob Pike, basing my argument on the differences between vending machines and gift boxes (illustrated with drawings carefully prepared in Microsoft Paint).
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0+0 > 0: C++ thread-local storage performance
We discuss how to make sure that your access to TLS (thread-local storage) is fast, and how the presence of constructors and shared libraries affects the access time.
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SIMD < SIMT < SMT: Parallelism in Nvidia GPUs (2011)
Programmable NVIDIA GPUs are very inspiring to hardware geeks, proving that processors with an original, incompatible programming model can become widely used.
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“It's done in hardware so it's cheap” (2012)
This is one of these things that look very obvious to me, to the point where it seems not worth discussing. However, I've heard the idea that "hardware magically makes things cheap" from several PhDs over the years. So apparently, if you aren't into hardware, it's not obvious at all.
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Redundancy vs. dependencies: which is worse? (2008)
I think that all other considerations are of the extrinsic real-world kind – domain modeling, usability, schedules, platforms, etc. I also think that I can show how any "good" programming practice is mainly aimed at minimizing redundancy, dependencies, or both. I even think that you can tell a "good" programmer from a…