Let's Count Bytes! Launching Ruby in 32K of RAM

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This presentation will discover how Ruby can be launched even on MCUs. It covers implementation of Ruby virtual machine, a timeline of porting experiences and some shiny demo with blinking LEDs - now in Ruby. Author - Mikhail Bortnyk, a senior developer, who has spoken with this presentation at RubyMeditation #9.

LAUNCHING RUBY IN 32
KILOBYTES
MIKHAIL BORTNYK

LAUNCHING RUBY IN 32 KILOBYTES
WHO AM I
▸ Mikhail Bortnyk, (not only) Ruby developer
▸ kottans.org co-founder
▸ github: @vessi
▸ twitter: @mikhailbortnyk

LAUNCHING RUBY IN 32 KILOBYTES
FOR WHY?
▸ because I can
▸ I love Ruby
▸ interested in IoT
▸ learn more about languages virtual machines
▸ learn more about optimisation
▸ get a touch with a real hardware
▸ I want to get fucking led blinking!

LAUNCHING RUBY IN 32 KILOBYTES
OPTIONS I KNEW BEFORE
▸ Ruby
▸ mRuby

LAUNCHING RUBY IN 32 KILOBYTES
RUBY
▸ Pros:
▸ full language stack
▸ very long story
▸ most of bugs cleared
▸ I have everyday work experience
▸ Cons:
▸ consumes too much memory (valgrind shows ~9Mb)
▸ too big
▸ platform-dependent
▸ bytecode is very experimental

LAUNCHING RUBY IN 32 KILOBYTES
MRUBY
▸ Pros:
▸ relatively smaller
▸ actively supported by @matz
▸ proved builds on bigger MCUs (Raspberry Pi and powerful ChipKIT boards)
▸ code can be compiled into byte code to reduce execution time
▸ Cons:
▸ still consumes too much memory (but only 4% from big Ruby, ~400kb)
▸ has complicated build system
▸ partially connected with ﬁlesystem so you can’t use FS-less conﬁgurations

LAUNCHING RUBY IN 32 KILOBYTES
LIMITATIONS
▸ Result build should:
▸ ﬁt in 32K of RAM
▸ take less than 512K
▸ can operate without ﬁle system
▸ It will be good if result build can operate with target’s
hardware

LAUNCHING RUBY IN 32 KILOBYTES
FIRST TRY
▸ Author: Doug Bradbury
▸ Date: 19 Dec 2008
▸ Target board: Glomation GESBC-2440
▸ Target params: 400MHz ARM CPU, 128 MB SDRAM, 64
MB FLASH and Linux 2.6.18
▸ Ruby version: 1.8.6-p111

LAUNCHING RUBY IN 32 KILOBYTES
NEXT STEP (POSSIBLY NOT VERY ACCURATE)
▸ Author: kyab
▸ Date: 31 Dec 2012
▸ Target board: ChipKIT Max32
▸ Target params: PIC32MX795F512L 80MHz MCU, 128KB RAM, 512KB ﬂash
▸ mRuby version: 1.0.0
▸ Caveats: lost Regexps, reduced heap 16 times (64 objects instead of 1024),
lost Time class, gems are disabled
▸ No REPL, only constant code evaluation
▸ requires MPIDE to cross-compile

AND I HAVE
FOUND
LAUNCHING RUBY IN 32 KILOBYTES

LAUNCHING RUBY IN 32 KILOBYTES
MRUBY/C PROTOTYPE
▸ Author: Shimane IT Open-Innovation Centre (in reality the
only developer is Kazuaki Tanaka)
▸ First presentation of idea: 11 Nov 2015, on slideshare
▸ I found this presentation and wrote email to achieve very
alpha version: 4 Mar 2016
▸ Project gone opensource: 17 Mar 2016

LAUNCHING RUBY IN 32 KILOBYTES
MRUBY/C DESCRIPTION
▸ Written in pure C, Makeﬁles are used to build
▸ Fits in 16K of memory
▸ Totally lost everything in stdlib, only Array, Float and Object
classes left
▸ More than 40% of VM instructions are not implemented yet
▸ Heap is statically linked (length is conﬁgurable in time of
compilation)

DEMO TIME
I AM GOING TO COMPILE RUBY AND BYTECODE,
FLASH BOARDS, BLINK LEDS AND LOOK PROUD
FOR NO REASON
LAUNCHING RUBY IN 32 KILOBYTES

LAUNCHING RUBY IN 32 KILOBYTES
WHAT HAVE I DID
▸ Added cross-compiling system (stolen idea from
micropython)
▸ Added simple HAL to avoid printf calls and remove libc
dependency (-10kb of ﬂash size)
▸ Fixed lambda support (not totally)
▸ Added constants support

LAUNCHING RUBY IN 32 KILOBYTES
WHAT I AM PLANNING TO DO
▸ Add IREP subsequences support (IREP is byte code
sequence)
▸ Add runtime class declaration
▸ Move to dynamic memory management system
▸ Try to port lexer and compiler parts
▸ Try to implement REPL
▸ Try to implement network access (need ESP8266 board!)

LAUNCHING RUBY IN 32 KILOBYTES
THANKS SECTION
▸ To Mykhailo Odyniuk: this work would be totally
impossible without him. He provided me two
development boards I used in time of porting
▸ To Shimane ITOC and Kenji Sugihara personally for quick
replies and good presentation
▸ To Kazuaki Tanaka for the great work he did implementing
alpha and beta versions of mruby/c

LAUNCHING RUBY IN 32 KILOBYTES
KAZUAKI TANAKA
▸ The guy to say ‘Arigato!’
▸ @kaz0505 on Github
▸ Associate professor at Kyushu
Institute of Technology
▸ Proﬁle on LinkedIn

QUESTIONS
AND ANSWERS
LAUNCHING RUBY IN 32 KILOBYTES

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Data migration is a complex but essential task for organizations aiming to modernize their IT infrastructure and leverage new technologies. By understanding common challenges and implementing these strategies, businesses can achieve a successful migration with minimal disruption. Data Migration Tool like Ask On Data play a pivotal role in this journey, offering features that streamline the process, ensure data integrity, and maintain security. With the right approach and tools, organizations can turn the challenge of data migration into an opportunity for growth and innovation.

Developing Distributed High-performance Computing Capabilities of an Open Sci...

Globus

COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among public health practitioners, mathematical modelers, and scientific computing specialists, while revealing critical gaps in exploiting advanced computing systems to support urgent decision making. Informed by our team’s work in applying high-performance computing in support of public health decision makers during the COVID-19 pandemic, we present how Globus technologies are enabling the development of an open science platform for robust epidemic analysis, with the goal of collaborative, secure, distributed, on-demand, and fast time-to-solution analyses to support public health.

A Comprehensive Look at Generative AI in Retail App Testing.pdf

kalichargn70th171

Large Language Models and the End of Programming

Matt Welsh

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