Latest updates for Algorithmic Performance

Fresh curated links around Algorithmic Performance are collected here so marketers can spot useful updates and turn timely ideas into posts faster.

Recent items include:

  • Measuring How Cost Scales by Counting Instead of Timing
  • Задача 3SUM решена быстрее, чем за O(N²) — а именно за O(N¹·⁹⁹⁹²). Без нейронок не обошлось
  • 3 Polars Tricks for High-Performance Data Manipulation

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dev.to /3 weeks ago

Measuring How Cost Scales by Counting Instead of Timing

Code: Megapixel99/countfn Every empirical complexity tool I could find on either registry measures elapsed time. PyPI's big-O estimates the class from execution time, and npm's b...

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habr.com /2 weeks ago

Задача 3SUM решена быстрее, чем за O(N²) — а именно за O(N¹·⁹⁹⁹²). Без нейронок не обошлось

5 октября американские исследователи Вирджиния Василевска-Уильямс, известная своими быстрыми (и безумно сложными) алгоритмами перемножения матриц за вместо и её бывший аспирант Д...

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kdnuggets.com /1 month ago

3 Polars Tricks for High-Performance Data Manipulation

Almost every slow Polars script lacks in terms of one of these two: its expression engine written and executing in Rust across every core at its disposal, and its query optimizer t...

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shed-skin.blogspot.com /1 week ago

Mark Dufour: CPython 3.15 (JIT) Performance Showdown

Now that CPython 3.15 has been released, I decided to do a historical performance comparison similar in spirit to Sixteen Years of Python Performance. Obviously I wanted to include...

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bioengineer.org /2 days ago

Julia package speeds systemic-risk calculations by up to 300-fold

The Julia package ESRIcascade.jl reproduced established systemic-risk calculations while reducing runtime by as much as 300-fold in synthetic-network benchmarks.

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dev.to /3 days ago

Four big local LLMs on one RTX 5090 and 128 GB of RAM, benchmarked side by side

One RTX 5090, 128 GB of RAM, and four open models from 125B to 748B parameters. Over the past weeks I got each of them running on the same workstation, on three different runtimes....

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news.mit.edu /3 weeks ago

The effects of an “algorithmic monoculture” depend on the details

In a study focusing on hiring decisions, MIT researchers found the use of a single algorithm by many firms could benefit job seekers in certain situations.

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schneier.com /1 week ago

Measuring Human Cryptanalysis Effort

Matthew Green has a new site that tries to estimate the number of cryptanalyst-hours that have been spent analyzing different public-key algorithms: Abstract: We estimate how much...

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techmeme.com /1 month ago

Vera Rubin NVL72 inference tests show up to 7x better token throughput per MW vs. Blackwell on a 1.6T DeepSeek model, ab...

Bryan Shan / SemiAnalysis: Vera Rubin NVL72 inference tests show up to 7x better token throughput per MW vs. Blackwell on a 1.6T DeepSeek model, above Huang's 3x claim for 1T-3T LL...

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johndcook.com /2 weeks ago

Faster Fourier Transform

The Fast Fourier Transform (FFT) algorithm can compute the discrete Fourier transform of a sequence of length n in time O(n log n). OpenAI recently posted a paper saying there is a...

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kdnuggets.com /1 month ago

Quantization and Pruning Methods to Make Your LLM Leaner

This article walks through what each technique actually does, why skipping them costs real money and real latency, and then gets hands-on with five specific methods people are runn...

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Sources covering Algorithmic Performance

kdnuggets.com

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bioengineer.org

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dev.to

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habr.com

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news.mit.edu

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planetpython.org

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