paulnice

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Types of work:

RD - research&development
PR - product
IP - in-house product
CO - consulting

This doesn't mean it's only way company works. Many have inner products, but this key describes type of work that presumably prevails.

why doesn't radfft support AVX on PC?

So there's two separate issues here: using instructions added in AVX and using 256-bit wide vectors. The former turns out to be much easier than the latter for our use case.

Problem number 1 was that you positively need to put AVX code in a separate file with different compiler settings (/arch:AVX for VC++, -mavx for GCC/Clang) that make all SSE code emitted also use VEX encoding, and at the time radfft was written there was no way in CDep to set compiler flags for just one file, just for the overall build.

[There's the GCC "target" annotations on individual funcs, which in principle fix this, but I ran into nasty problems with this for several compiler versions, and VC++ has no equivalent, so we're not currently using that and just sticking with different compilation units.]

The other issue is to do with CPU power management.

Let's list here crates that enhance Rust as a language.

It not "batteries" like in stdx, but Rust-specific crates for workarounds for various missing features and experimental ideals from non-accepted/postponed RFCs, or just hacky tricks.

The list is supposed to contain (mostly) crates that are internal to Rust, not ones for making Rust deal with "external world" like other languages bindings, file formats, protocols and so on.

Primary focus should be on crates that are not easy to find by conventional means (e.g. no algorithm name, format or protocol to search for).

Note that quality of the listed crates may vary from proof-of-concept to stable-and-widely-used.

Learning Rust

Getting Started + Installation | Cheat Sheet

Steps

I. Install miniforge

So that your Python is run natively on arm64, not translated via Rosseta.

Download Miniforge3-MacOSX-arm64.sh, then
Run the script, then open another shell

$ bash Miniforge3-MacOSX-arm64.sh

General Background and Overview

Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
Models and Issues in Data Stream Systems
Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
[Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep

	#!/boot/bzImage

	# Linux kernel userspace initialization code, translated to bash
	# (Minus floppy disk handling, because seriously, it's 2017.)
	# Not 100% accurate, but gives you a good idea of how kernel init works
	# GPLv2, Copyright 2017 Hector Martin <[email protected]>
	# Based on Linux 4.10-rc2.

	# Note: pretend chroot is a builtin and affects the current process
	# Note: kernel actually uses major/minor device numbers instead of device name

	FROM ubuntu:bionic

	RUN apt-get update && apt-get install -y dpdk;

	ENTRYPOINT ["bash"]