Published on: 2025-06-03 13:44:43
Ray Tracing in J 2020-04-18 I've been reading up on J and decided another small project was in order, this time I've written a minimal ray tracer. Brevity J is, perhaps infamously, a terse language. I think it may sometimes get unfairly discounted for this brevity because of the flavor of the syntax (namely, ASCII). It can be a little hard to describe, but the syntax isn't the hard part of learning J, the jarring parts are a result of the paradigm differences in array programming. By the tim
Keywords: array nb normal verb verbs
Find related items on AmazonPublished on: 2025-06-12 04:10:44
UCSB ArchLab OpenTPU Project OpenTPU is an open-source re-implementation of Google's Tensor Processing Unit (TPU) by the UC Santa Barbara ArchLab. The TPU is Google's custom ASIC for accelerating the inference phase of neural network computations. Our design is based on details from Google's paper titled "In-Datacentre Performance Analysis of a Tensor Processing Unit" (https://arxiv.org/abs/1704.04760), which is to appear at ISCA2017. However, no formal spec, interface, or ISA has yet been pu
Keywords: array npy opentpu py weight
Find related items on AmazonPublished on: 2025-06-16 08:28:12
Particle Life simulation in browser using WebGPU If you don't care about the explanation and want a direct link to the simulation, here you go. You might know that I'm a sucker for physics simulations, and particle simulations in particular. Usually I implement something based on conventional physics, but recently I've stumbled upon a funny non-physical model that can display...well, let's call it life-like behavior. I've made a prototype in C++ using my pet engine, but then I decided it woul
Keywords: array let particle particles simulationoptions
Find related items on AmazonPublished on: 2025-06-30 17:05:22
They say you can’t truly hate someone unless you loved them first. I don’t know if that’s true as a general principle, but it certainly describes my relationship with NumPy. NumPy, by the way, is some software that does computations on arrays in Python. It’s insanely popular and has had a huge influence on all the popular machine learning libraries like PyTorch. These libraries share most of the same issues I discuss below, but I’ll stick to NumPy for concreteness. NumPy makes easy things easy
Keywords: 10 array np numpy solve
Find related items on AmazonPublished on: 2025-07-01 03:05:22
They say you can’t truly hate someone unless you loved them first. I don’t know if that’s true as a general principle, but it certainly describes my relationship with NumPy. NumPy, by the way, is some software that does computations on arrays in Python. It’s insanely popular and has had a huge influence on all the popular machine learning libraries like PyTorch. These libraries share most of the same issues I discuss below, but I’ll stick to NumPy for concreteness. NumPy makes easy things easy
Keywords: 10 array np numpy solve
Find related items on AmazonPublished on: 2025-07-06 05:55:43
When GADTs (Generalized Algebraic Data Types) landed in OCaml, I wasn’t particularly happy about it. I assumed that it was the kind of nonsense you get when you let compiler writers design your programming language. Which is to say that the standard GADT examples all seem to be about the kinds of things that compiler writers do, like embed domain-specific languages or build typed abstract-syntax trees. But it didn’t seem particularly relevant for the kind of systems programming that I think abo
Keywords: array bytes length let type
Find related items on AmazonPublished on: 2025-07-18 21:06:49
PV modules are cheap enough today that the simple fixed East-West arrays are cheaper and faster to install than the industry’s darling, the single-axis tracked array. Xavier Dedenbach, Terraform Power Electronics Engineer Originally posted on April 20, 2025. Summary This article takes you on a journey to explore whether East-West fixed solar arrays are now more economical than the dominant variant, single-axis tracked arrays. If you just want the answer, feel free to jump to the end or read
Keywords: array axis east single west
Find related items on AmazonPublished on: 2025-07-26 19:31:47
Raven OCaml's Wings for Machine Learning Raven is a comprehensive ecosystem of libraries, frameworks, and tools that brings machine learning and data science capabilities to OCaml. Vision Raven aims to make training models, running data science tasks, and building pipelines in OCaml as efficient and intuitive as Python, while leveraging OCaml's inherent type safety and performance advantages. We prioritize developer experience and seamless integration. Status Raven is currently in pre-alph
Keywords: data ndarray ocaml raven science
Find related items on AmazonPublished on: 2025-08-20 14:08:50
When programming in Odin you can use arena allocators. If you use an arena allocator combined with a dynamic array, then there are a couple of pitfalls that may not be apparent at first. Let’s look at what arenas are, how you can run into trouble when naively using them with dynamic arrays and what you can do instead. What’s an arena? How does it work?# Arenas and arena allocators are useful for grouping allocations that have the same lifetime. Here lifetime means allocations that are fine to
Keywords: address arena array dynamic memory
Find related items on AmazonPublished on: 2025-09-14 09:04:34
When BMW introduced the original M5 to the European motoring public in 1984, the automaker effectively established a new vehicle segment. By combining the practical and understatedly rakish E28 5-Series with the motorsport-derived six-cylinder engine from the M1 supercar, the automaker had created a “do-it-all” performance machine, a vehicle that could serve as a tasteful and luxurious sedan one moment and a charismatic sports car the next. It’s a concept that has guided the development of not
Keywords: array bmw bradley iger m5
Find related items on AmazonPublished on: 2025-09-26 10:20:27
Shift-To-Middle Array The Shift-To-Middle Array is a dynamic array designed to optimize insertions and deletions at both ends, offering a high-performance alternative to std::deque , std::vector , and linked lists. It achieves this while maintaining contiguous memory storage, improving cache locality and enabling efficient parallel processing. 🌟 Features ✅ Amortized O(1) insertions & deletions at both ends ✅ Fast random access (O(1)) ✅ Better cache locality than linked lists ✅ Supports SIM
Keywords: array benchmarks middle shift std
Find related items on AmazonPublished on: 2025-09-26 13:39:17
Frink What's New * FAQ * Download * Frink Applet * Web Interface * Sample Programs * Frink Server Pages * Frink on Android * Donate Frink is a practical calculating tool and programming language designed to make physical calculations simple, to help ensure that answers come out right, and to make a tool that's really useful in the real world. It tracks units of measure (feet, meters, kilograms, watts, etc.) through all calculations, allowing you to mix units of measure transparently, and helps
Keywords: array frink java use value
Find related items on AmazonPublished on: 2025-10-12 16:00:28
So far, we’ve only really touched on some of the fundamentals of reverse engineering with one game example, but this time we’re looking at something a bit different. Shenmue (1999) is widely known for its pursuit of realism and has remained an influential series to this day, with its third game releasing in 2019. This pursuit of realism wasn’t unintentional, but one of the key design choices they made early on in development. With 2 cult classic hits on the SEGA Dreamcast, in this post, we’ll l
Keywords: array code game reverse time
Find related items on AmazonPublished on: 2025-10-14 15:47:43
Building on my previous post on sorting algorithms, I implemented the same algorithms using CUDA to explore performance improvements through parallel computing. The goal is to see how we can leverage the power of parallel computing to speed up our sorting algorithms. I went for a NVIDIA recruiting event some days ago, that was a great event and it motivated me to try to rewrite the sorting algorithms using CUDA. I’ll take merge sort as our test algorithm because it nicely divides the problem in
Keywords: array left long merge size
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