Joshua Klein, A. Levisse, G. Ansaloni, David Atienza Alonso, Marina Zapater, M. Dazzi, G. Karunaratne, I. Boybat, A. Sebastian, D. Rossi, Francesco Conti, Elana Pereira de Santana, P. Bolívar, M. Saeed, R. Negra, Zhenxing Wang, Kun-Ta Wang, M. Lemme, Akshay Jain, Robert Guirado, H. Taghvaee, S. Abadal
{"title":"Architecting more than Moore: wireless plasticity for massive heterogeneous computer architectures (WiPLASH)","authors":"Joshua Klein, A. Levisse, G. Ansaloni, David Atienza Alonso, Marina Zapater, M. Dazzi, G. Karunaratne, I. Boybat, A. Sebastian, D. Rossi, Francesco Conti, Elana Pereira de Santana, P. Bolívar, M. Saeed, R. Negra, Zhenxing Wang, Kun-Ta Wang, M. Lemme, Akshay Jain, Robert Guirado, H. Taghvaee, S. Abadal","doi":"10.1145/3457388.3458859","DOIUrl":null,"url":null,"abstract":"This paper presents the research directions pursued by the WiPLASH European project, pioneering on-chip wireless communications as a disruptive enabler towards next-generation computing systems for artificial intelligence (AI). We illustrate the holistic approach driving our research efforts, which encompass expertises and abstraction levels ranging from physical design of embedded graphene antennas to system-level evaluation of wirelessly-communicating heterogeneous systems.","PeriodicalId":136482,"journal":{"name":"Proceedings of the 18th ACM International Conference on Computing Frontiers","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 18th ACM International Conference on Computing Frontiers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3457388.3458859","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents the research directions pursued by the WiPLASH European project, pioneering on-chip wireless communications as a disruptive enabler towards next-generation computing systems for artificial intelligence (AI). We illustrate the holistic approach driving our research efforts, which encompass expertises and abstraction levels ranging from physical design of embedded graphene antennas to system-level evaluation of wirelessly-communicating heterogeneous systems.