Sounio: A Systems Programming Language for Epistemic Scientic Computing with Native Uncertainty Propagation, Algebraic Eects, Hypercomplex Algebra, and GPU Acceleration

Sounio: A Systems Programming Language for Epistemic Scientic Computing with Native Uncertainty Propagation, Algebraic Eects, Hypercomplex Algebra, and GPU Acceleration | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 9 February 2026 V1 Latest version Share on Sounio: A Systems Programming Language for Epistemic Scientic Computing with Native Uncertainty Propagation, Algebraic Eects, Hypercomplex Algebra, and GPU Acceleration Authors : Demetrios Chiuratto Agourakis 0009-0001-8671-8878 [email protected] and Marli Gerenutti Authors Info & Affiliations https://doi.org/10.22541/au.177067589.93635741/v1 230 views 98 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Scientic computing rarely fails because arithmetic is wrong; it fails because epistemic context is lost. Measurements are treated as bare numbers, uncertainty is bolted on post hoc, provenance is externalised into fragile logs, and side eects blur the boundary between inference and action. We present Sounio, a compiled systems language for epistemic scientic computing in which uncertainty, condence, and provenance are rst-class program data. Supplementary Material File (sounio_preprint_v3_final.pdf) Download 540.69 KB Information & Authors Information Version history V1 Version 1 09 February 2026 Copyright This work is licensed under a Creative Commons Attribution 4.0 International License Keywords compiler design hypercomplex neural networks programming languages programming languages (cs.pl) scientific computing Authors Affiliations Demetrios Chiuratto Agourakis 0009-0001-8671-8878 [email protected] View all articles by this author Marli Gerenutti View all articles by this author Metrics & Citations Metrics Article Usage 230 views 98 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Demetrios Chiuratto Agourakis, Marli Gerenutti. Sounio: A Systems Programming Language for Epistemic Scientic Computing with Native Uncertainty Propagation, Algebraic Eects, Hypercomplex Algebra, and GPU Acceleration. Authorea . 09 February 2026. DOI: https://doi.org/10.22541/au.177067589.93635741/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . Format Please select one from the list RIS (ProCite, Reference Manager) EndNote BibTex Medlars RefWorks Direct import Tips for downloading citations document.getElementById('citMgrHelpLink').addEventListener('click', function() { popupHelp(this.href); return false; }); $(".js__slcInclude").on("change", function(e){ if ($(this).val() == 'refworks') $('#direct').prop("checked", false); $('#direct').prop("disabled", ($(this).val() == 'refworks')); }); View Options View options PDF View PDF Figures Tables Media Share Share Share article link Copy Link Copied! Copying failed. Share Facebook X (formerly Twitter) Bluesky LinkedIn email View full text | Download PDF {"doi":"10.22541/au.177067589.93635741/v1","type":"Article"} Now Reading: Share Figures Tables Close figure viewer Back to article Figure title goes here Change zoom level Go to figure location within the article Download figure Toggle share panel Toggle share panel Share Toggle information panel Toggle information panel Go to previous graphic Go to next graphic Go to previous table Go to next table All figures All tables View all material View all material xrefBack.goTo xrefBack.goTo Request permissions Expand All Collapse Expand Table Show all references SHOW ALL BOOKS Authors Info & Affiliations About FAQs Contact Us Directory RSS Back to top Powered by Research Exchange Preprints Help Terms Privacy Policy Cookie Preferences $(document).ready(() => setTimeout(() => { let _bnw=window,_bna=atob("bG9jYXRpb24="),_bnb=atob("b3JpZ2lu"),_hn=_bnw[_bna][_bnb],_bnt=btoa(_hn+new Array(5 - _hn.length % 4).join(" ")); $.get("/resource/lodash?t="+_bnt); },4000)); (function(){function c(){var b=a.contentDocument||a.contentWindow.document;if(b){var d=b.createElement('script');d.innerHTML="window.__CF$cv$params={r:'9fe26d622a27d04e',t:'MTc3OTE4NjYzNw=='};var a=document.createElement('script');a.src='/cdn-cgi/challenge-platform/scripts/jsd/main.js';document.getElementsByTagName('head')[0].appendChild(a);";b.getElementsByTagName('head')[0].appendChild(d)}}if(document.body){var a=document.createElement('iframe');a.height=1;a.width=1;a.style.position='absolute';a.style.top=0;a.style.left=0;a.style.border='none';a.style.visibility='hidden';document.body.appendChild(a);if('loading'!==document.readyState)c();else if(window.addEventListener)document.addEventListener('DOMContentLoaded',c);else{var e=document.onreadystatechange||function(){};document.onreadystatechange=function(b){e(b);'loading'!==document.readyState&&(document.onreadystatechange=e,c())}}}})();