{"title":"2020年WAMCA大会主席致辞","authors":"","doi":"10.1109/sbac-pad49847.2020.00053","DOIUrl":null,"url":null,"abstract":"WAMCA was created as an associated workshop of SBAC-PAD in 2009. The aim was to provide a specific channel for contributions and discussions on multi-core applications. Then, we have striven to implement it every year in conjunction with the corresponding SBAC-PAD. The initial topic has been extended to cover all topics related to shared memory parallelism and accelerators. This adaptation was necessary because most of accelerators that have emerged so far follow a shared memory model, even if the original data typically come from a remote main memory. This year, we received 23 submissions and accepted 10, with an average of 3 reviews per paper, thus an acceptance rate of 43%. We thank the authors of all submitted papers for their consideration and we expect to remain attractive for an increasingly larger community.","PeriodicalId":202581,"journal":{"name":"2020 IEEE 32nd International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Message from the WAMCA 2020 General Chair\",\"authors\":\"\",\"doi\":\"10.1109/sbac-pad49847.2020.00053\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"WAMCA was created as an associated workshop of SBAC-PAD in 2009. The aim was to provide a specific channel for contributions and discussions on multi-core applications. Then, we have striven to implement it every year in conjunction with the corresponding SBAC-PAD. The initial topic has been extended to cover all topics related to shared memory parallelism and accelerators. This adaptation was necessary because most of accelerators that have emerged so far follow a shared memory model, even if the original data typically come from a remote main memory. This year, we received 23 submissions and accepted 10, with an average of 3 reviews per paper, thus an acceptance rate of 43%. We thank the authors of all submitted papers for their consideration and we expect to remain attractive for an increasingly larger community.\",\"PeriodicalId\":202581,\"journal\":{\"name\":\"2020 IEEE 32nd International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 32nd International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/sbac-pad49847.2020.00053\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 32nd International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/sbac-pad49847.2020.00053","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
WAMCA was created as an associated workshop of SBAC-PAD in 2009. The aim was to provide a specific channel for contributions and discussions on multi-core applications. Then, we have striven to implement it every year in conjunction with the corresponding SBAC-PAD. The initial topic has been extended to cover all topics related to shared memory parallelism and accelerators. This adaptation was necessary because most of accelerators that have emerged so far follow a shared memory model, even if the original data typically come from a remote main memory. This year, we received 23 submissions and accepted 10, with an average of 3 reviews per paper, thus an acceptance rate of 43%. We thank the authors of all submitted papers for their consideration and we expect to remain attractive for an increasingly larger community.