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DTSTART;TZID=Europe/Paris:20250401T140000
DTEND;TZID=Europe/Paris:20250401T180000
LOCATION:Rhône 1
CREATED:20250320T120824
DTSTAMP:20250320T120824
SUMMARY:W05 OSSMPIC - Open Source Solutions for Massively Parallel Integrated Circuits
URL;VALUE=URI:https://date25.date-conference.com/programme#W05
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DESCRIPTION:Get the latest session information at 
	https://date25.date-conference.com/programme#W05\n\n\nGeneral 
	Chairs\n	\n	-  Kevin Martin, Université Bretagne Sud, FR\n	-  Adrian 
	Evans, CEA/LIST, FR\n	\n	Programme Committee Members\n	\n	-  Caroline 
	Collange, INRIA, FR\n	-  David Defour, Université de Perpignan, FR\n	-  
	Hyesoon Kim, Georgia Technical University, US\n	-  Leonidis Kosmidis, 
	Barcelona Supercomuting Centre, FR\n	-  Christine Rochange, Univesité de 
	Toulouse, FR\n	-  Blaise Tine, UCLA, US\n	-  Henk Corporaal , Eindhoven 
	University of Technology, NL\n	-  Artur Podobas, KTH, SE\n	\n	About the 
	Workshop\n	\n	The Open-Source Hardware community has grown very quickly. 
	The current wave of Open-Source Hardware development is largely driven by 
	the RISC-V processor architecture which is now reaching a high level of 
	maturity. However, the Open-Source Hardware community lags behind in terms 
	of solutions for massively parallel compute architectures. There exist 
	several open-source multi-core platforms but they are not massively 
	parallel.\n	\n	GPGPUs have emerged as the leading massively parallel 
	architecture although CGRAs (Coarse Grained Reconfigurable Architectures) 
	are attracting increasing attention as they have the potential for higher 
	energy efficiency. Both architectures can provide massively parallel 
	compute for critical problems such as AI, signal processing and large data 
	analysis. There already exist some open source projects, such as the 
	FlexGrip, Vortex, OpenCGRA, CGRA-ME, OpenEdgeCGRA, but they are all in 
	their early stages.\n	\n	This community has not been federated in the same 
	way as the RISC-V community has. The goal of the OSSMPIC workshop is to 
	gather the community of researchers working on open source GPUs and CGRAs, 
	so that they achieve the same critical mass as the RISC-V community.
X-ALT-DESC;FMTTYPE=text/html:<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 3.2//EN"><HTML><HEAD><META 
	NAME="Generator" CONTENT="MS Exchange Server version 
	16.0.17231.20290"><TITLE></TITLE></HEAD><BODY><p>Get the latest session 
	information at <a 
	href="https://date25.date-conference.com/programme#W05">https://date25.date-conference.com/programme#W05</a></p><p> 
	   General Chairs</p><ul>    <li>        Kevin Martin, Université 
	Bretagne Sud, FR    </li>    <li>        Adrian Evans, CEA/LIST, FR    
	</li></ul><p>    Programme Committee Members</p><ul>    <li>        
	Caroline Collange, INRIA, FR    </li>    <li>        David Defour, 
	Université de Perpignan, FR    </li>    <li>        Hyesoon Kim, Georgia 
	Technical University, US    </li>    <li>        Leonidis Kosmidis, 
	Barcelona Supercomuting Centre, FR    </li>    <li>        Christine 
	Rochange, Univesité de Toulouse, FR    </li>    <li>        Blaise Tine, 
	UCLA, US    </li>    <li>        Henk Corporaal , Eindhoven University of 
	Technology, NL    </li>    <li>        Artur Podobas, KTH, SE    
	</li></ul><h3>    About the Workshop</h3><p>    The Open-Source Hardware 
	community has grown very quickly. The current wave of Open-Source Hardware 
	development is largely driven by the RISC-V processor architecture which 
	is now reaching a high level of maturity. However, the Open-Source 
	Hardware community lags behind in terms of solutions for massively 
	parallel compute architectures. There exist several open-source multi-core 
	platforms but they are not massively parallel.</p><p>    GPGPUs have 
	emerged as the leading massively parallel architecture although CGRAs 
	(Coarse Grained Reconfigurable Architectures) are attracting increasing 
	attention as they have the potential for higher energy efficiency. Both 
	architectures can provide massively parallel compute for critical problems 
	such as AI, signal processing and large data analysis. There already exist 
	some open source projects, such as the FlexGrip, Vortex, OpenCGRA, 
	CGRA-ME, OpenEdgeCGRA, but they are all in their early stages.</p><p>    
	This community has not been federated in the same way as the RISC-V 
	community has. The goal of the OSSMPIC workshop is to gather the community 
	of researchers working on open source GPUs and CGRAs, so that they achieve 
	the same critical mass as the RISC-V community.</p></BODY></HTML>
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