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THRAM: A Template-based Heterogeneous CGRA Modeling Framework Supporting Fast DSE
Coarse-grained reconfigurable architecture (CGRA), composed of word-level processing elements (PEs) and interconnects, has emerged as a promising architecture due to its high performance, energy efficiency, and flexibility. Although multiple CGRA frameworks have been proposed, a complete heterogeneo...
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creator | Li, Jingyuan Qiu, Yunhui Zhu, Guowei Zhu, Qilong Yin, Wenbo Wang, Lingli |
description | Coarse-grained reconfigurable architecture (CGRA), composed of word-level processing elements (PEs) and interconnects, has emerged as a promising architecture due to its high performance, energy efficiency, and flexibility. Although multiple CGRA frameworks have been proposed, a complete heterogeneous CGRA exploration framework with tunable interconnect flexibility and fast design space exploration (DSE) is still lacking. In this paper, we propose an open-source template-based CGRA exploration framework that integrates the modeling of heterogeneous PEs and interconnects, RTL generation, DFG mapping, automatic simulation and verification, and fast DSE based on a CGRA framework TRAM. Moreover, we present a novel resource-efficient shared reconfigurable delay unit (RDU) for data synchronization, which can save the CGRA area by 7%, compared with the separated RDU. Further, the explored optimal heterogeneous architecture can reduce the area and power by 44.7% and 42.9% respectively, and improve the PE utilization by 20.4%, compared with the 8 × 8 baseline architecture in TRAM. |
doi_str_mv | 10.1109/ISCAS46773.2023.10182204 |
format | conference_proceeding |
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Although multiple CGRA frameworks have been proposed, a complete heterogeneous CGRA exploration framework with tunable interconnect flexibility and fast design space exploration (DSE) is still lacking. In this paper, we propose an open-source template-based CGRA exploration framework that integrates the modeling of heterogeneous PEs and interconnects, RTL generation, DFG mapping, automatic simulation and verification, and fast DSE based on a CGRA framework TRAM. Moreover, we present a novel resource-efficient shared reconfigurable delay unit (RDU) for data synchronization, which can save the CGRA area by 7%, compared with the separated RDU. 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Further, the explored optimal heterogeneous architecture can reduce the area and power by 44.7% and 42.9% respectively, and improve the PE utilization by 20.4%, compared with the 8 × 8 baseline architecture in TRAM.</description><subject>Bayesian Optimization</subject><subject>CGRA framework</subject><subject>Circuits and systems</subject><subject>Delays</subject><subject>Design space exploration</subject><subject>Energy efficiency</subject><subject>Heterogeneous CGRA</subject><subject>Integrated circuit interconnections</subject><subject>Power demand</subject><subject>Reconfigurable architectures</subject><subject>Space exploration</subject><issn>2158-1525</issn><isbn>1665451092</isbn><isbn>9781665451093</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2023</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo1j81qg0AUhaeFQpO0b9DFvIB27nXGcboTm8RAQmm06zCjt8FWo6ih9O0j_VkdOHx8nMMYB-EDCPO4yZI4k6HWgY8CAx8ERIhCXrE5hKGSaoLwms0QVOSBQnXL5sPwIQQKEeKMvebpPt498Zjn1HS1HclzdqCSpzRS3x7pRO154Ml6H_NdW1JdnY581duGvtr-k2fnrmv78ae0w8ifs-Udu3m39UD3f7lgb6tlnqTe9mW9SeKtV03zRq-MBJSFMVo7BKMiVziJaByUSgYSnVZAiCCLsERhJq5AEzptrI4kFM4EC_bw662I6ND1VWP778P__-ACfE1N1A</recordid><startdate>20230521</startdate><enddate>20230521</enddate><creator>Li, Jingyuan</creator><creator>Qiu, Yunhui</creator><creator>Zhu, Guowei</creator><creator>Zhu, Qilong</creator><creator>Yin, Wenbo</creator><creator>Wang, Lingli</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>20230521</creationdate><title>THRAM: A Template-based Heterogeneous CGRA Modeling Framework Supporting Fast DSE</title><author>Li, Jingyuan ; Qiu, Yunhui ; Zhu, Guowei ; Zhu, Qilong ; Yin, Wenbo ; Wang, Lingli</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i204t-d801dc9977b21958bcb4229b1d54342b751e2214c6d209997c296b79a7841cb93</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Bayesian Optimization</topic><topic>CGRA framework</topic><topic>Circuits and systems</topic><topic>Delays</topic><topic>Design space exploration</topic><topic>Energy efficiency</topic><topic>Heterogeneous CGRA</topic><topic>Integrated circuit interconnections</topic><topic>Power demand</topic><topic>Reconfigurable architectures</topic><topic>Space exploration</topic><toplevel>online_resources</toplevel><creatorcontrib>Li, Jingyuan</creatorcontrib><creatorcontrib>Qiu, Yunhui</creatorcontrib><creatorcontrib>Zhu, Guowei</creatorcontrib><creatorcontrib>Zhu, Qilong</creatorcontrib><creatorcontrib>Yin, Wenbo</creatorcontrib><creatorcontrib>Wang, Lingli</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library Online</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Li, Jingyuan</au><au>Qiu, Yunhui</au><au>Zhu, Guowei</au><au>Zhu, Qilong</au><au>Yin, Wenbo</au><au>Wang, Lingli</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>THRAM: A Template-based Heterogeneous CGRA Modeling Framework Supporting Fast DSE</atitle><btitle>2023 IEEE International Symposium on Circuits and Systems (ISCAS)</btitle><stitle>ISCAS</stitle><date>2023-05-21</date><risdate>2023</risdate><spage>1</spage><epage>5</epage><pages>1-5</pages><eissn>2158-1525</eissn><eisbn>1665451092</eisbn><eisbn>9781665451093</eisbn><abstract>Coarse-grained reconfigurable architecture (CGRA), composed of word-level processing elements (PEs) and interconnects, has emerged as a promising architecture due to its high performance, energy efficiency, and flexibility. Although multiple CGRA frameworks have been proposed, a complete heterogeneous CGRA exploration framework with tunable interconnect flexibility and fast design space exploration (DSE) is still lacking. In this paper, we propose an open-source template-based CGRA exploration framework that integrates the modeling of heterogeneous PEs and interconnects, RTL generation, DFG mapping, automatic simulation and verification, and fast DSE based on a CGRA framework TRAM. Moreover, we present a novel resource-efficient shared reconfigurable delay unit (RDU) for data synchronization, which can save the CGRA area by 7%, compared with the separated RDU. Further, the explored optimal heterogeneous architecture can reduce the area and power by 44.7% and 42.9% respectively, and improve the PE utilization by 20.4%, compared with the 8 × 8 baseline architecture in TRAM.</abstract><pub>IEEE</pub><doi>10.1109/ISCAS46773.2023.10182204</doi><tpages>5</tpages></addata></record> |
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subjects | Bayesian Optimization CGRA framework Circuits and systems Delays Design space exploration Energy efficiency Heterogeneous CGRA Integrated circuit interconnections Power demand Reconfigurable architectures Space exploration |
title | THRAM: A Template-based Heterogeneous CGRA Modeling Framework Supporting Fast DSE |
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