# Hello, I am Laszlo

## An approach to Walsh pais with SIMD

In a previous posts I looked into using Single instruction, multiple data, SIMD to find the `Median` value in a sample integers.

The definition of median in case of

• an odd sample size, find 'middle' element of the ordered samples.

• an even sample size, find the 2 elements in the middle of an ordered sample size, and calculate the average of those.

I have recently came across a blog post from Andrey Akinshin proposing to benefits of using Hodges-Lehmann location estimator to calculate a pseudo median.

Find out more

## Introduction

In a previous post I looked into using Single instruction, multiple data, SIMD to `Sum` an array of integer elements and to find the `Median` value of sample.

When working with statistical data, we often need to find the 95th percentile element of a sample. Calculating the `Sum` is useful for finding the mean value but finding the 95th percentile element requires a different approach. However, the P95 algorithm is similar to the way the `Median` element is found.

The 95th percentile is a statistical term that means the value below which 95% of the data in a given set is found. For example, if you have a set of test scores, the 95th percentile score is the one that is higher than 95% of the other scores. You can calculate the 95th percentile using this formula: n = (P/100) x N, where P = percentile, N = number of values in the data set, and n = ordinal rank of the given set. The 95th percentile is often used to measure service response times, as it allows for burstable usage patterns.

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## Introduction

In a previous post I looked into using Single instruction, multiple data, SIMD to `Sum` an array of integer elements.

When working with statistical data, we often need to find the mean/median element of a sample. Calculating the `Sum` is useful for finding the mean value, but finding the median element requires a different approach.

The definition of median in case of

Find out more

## CHttp Visual Studio Code Extension

I have been recently working on CHttp which is a tool to send HTTP requests and to measure the performance of REST APIs.

The primary goal of the tool is the ability to measure GET HTTP requests using version HTTP/2 and HTTP/3. As the tool is based on .NET (currently version 8), it requires a reasonably up-to-date Windows installation or the libmsquic package in case of Linux.

The standalone tool can be installed from GitHub, as a dotnet tool by using the `dotnet tool install -g LaDeak.CHttp` command or by as a Visual Studio Code Extension.

Find out more

## Sum with SIMD

One of my projects requires to calculate an average over about a hundred integer values. These values are available in an array, I used the Sum extension method from Linq to calculate the sum of them.

• It uses `checked` arithmetic, meaning that it throws an exception in case of an overflow.
This is the (optimized) assembly code generated by the JIT for the `Sum` method: