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style=\"list-style-type:decimal;\">\u003Cli>\u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https://jobs.utdallas.edu/postings/27382\">\u003Cspan style=\"color:#1155cc;\">\u003Cu>Assistant and Associate Professor in Electrical and Computer Engineering\u003C/u>\u003C/span>\u003C/a>\u003C/li>\u003C/ol>","2024-10-21T16:22:25.910Z","2024-10-26T20:57:21.210Z","2024-10-21T16:22:27.674Z","205",{"id":1144,"name":1145,"alternativeText":15,"caption":15,"width":1146,"height":1147,"formats":1148,"hash":1166,"ext":18,"mime":19,"size":1167,"url":1168,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1169,"updatedAt":1169},134,"monogram-emblem-border-880-1.png",880,587,{"small":1149,"medium":1155,"thumbnail":1160},{"ext":18,"url":1150,"hash":1151,"mime":19,"name":1152,"path":15,"size":1153,"width":648,"height":1154},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/small_monogram_emblem_border_880_1_8faf9d88be.png","small_monogram_emblem_border_880_1_8faf9d88be","small_monogram-emblem-border-880-1.png",22.25,334,{"ext":18,"url":1156,"hash":1157,"mime":19,"name":1158,"path":15,"size":1159,"width":655,"height":648},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/medium_monogram_emblem_border_880_1_8faf9d88be.png","medium_monogram_emblem_border_880_1_8faf9d88be","medium_monogram-emblem-border-880-1.png",35.91,{"ext":18,"url":1161,"hash":1162,"mime":19,"name":1163,"path":15,"size":1164,"width":1165,"height":622},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/thumbnail_monogram_emblem_border_880_1_8faf9d88be.png","thumbnail_monogram_emblem_border_880_1_8faf9d88be","thumbnail_monogram-emblem-border-880-1.png",9.35,234,"monogram_emblem_border_880_1_8faf9d88be",7.26,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/monogram_emblem_border_880_1_8faf9d88be.png","2024-10-21T16:21:43.033Z",{"id":1171,"variation":595,"button":1172},61,[1173],{"id":212,"label":598,"size":599,"color":600,"style":15,"icon":601,"iconPosition":602,"url":1174,"newWindow":8,"downloadable":15,"shape":15},"https://www.utdallas.edu/","-164",{"id":206,"name":1177,"description":1178,"createdAt":1179,"updatedAt":1180,"publishedAt":1181,"url_path_id":1182,"logo":1183,"website":1197,"url_path":1202},"Peking University","\u003Cp>Openings:\u003C/p>\u003Col style=\"list-style-type:decimal;\">\u003Cli>\u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https://drive.google.com/file/d/1Kh6kLqgXyZ-yHFcFpN0LtNoZA0l3s-bK/view?usp=drive_link\">Multiple tenure-track faculty positions\u003C/a>\u003C/li>\u003C/ol>","2024-10-21T16:22:51.218Z","2024-10-26T20:55:41.318Z","2024-10-21T16:22:53.136Z","206",{"id":649,"name":1184,"alternativeText":15,"caption":15,"width":1185,"height":1102,"formats":1186,"hash":1193,"ext":18,"mime":19,"size":1194,"url":1195,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1196,"updatedAt":1196},"images (3).png",391,{"thumbnail":1187},{"ext":18,"url":1188,"hash":1189,"mime":19,"name":1190,"path":15,"size":1191,"width":589,"height":1192},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/thumbnail_images_3_68cbc0fd43.png","thumbnail_images_3_68cbc0fd43","thumbnail_images (3).png",17.77,81,"images_3_68cbc0fd43",7.83,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/images_3_68cbc0fd43.png","2024-10-21T16:21:42.687Z",{"id":1198,"variation":595,"button":1199},62,[1200],{"id":894,"label":598,"size":599,"color":600,"style":15,"icon":601,"iconPosition":602,"url":1201,"newWindow":8,"downloadable":15,"shape":15},"https://english.pku.edu.cn/","-165",{"id":160,"name":1204,"description":45,"createdAt":1205,"updatedAt":1206,"publishedAt":1207,"url_path_id":1208,"logo":1209,"website":1231,"url_path":1235},"Chinese University of Hong Kong","2024-10-21T16:23:31.393Z","2024-10-21T16:25:07.701Z","2024-10-21T16:25:07.690Z","207",{"id":1210,"name":1211,"alternativeText":15,"caption":15,"width":1212,"height":1213,"formats":1214,"hash":1227,"ext":18,"mime":19,"size":1228,"url":1229,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1230,"updatedAt":1230},137,"cuhk_logo_2x.png",556,100,{"small":1215,"thumbnail":1221},{"ext":18,"url":1216,"hash":1217,"mime":19,"name":1218,"path":15,"size":1219,"width":648,"height":1220},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/small_cuhk_logo_2x_2674588b4f.png","small_cuhk_logo_2x_2674588b4f","small_cuhk_logo_2x.png",33.47,90,{"ext":18,"url":1222,"hash":1223,"mime":19,"name":1224,"path":15,"size":1225,"width":589,"height":1226},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/thumbnail_cuhk_logo_2x_2674588b4f.png","thumbnail_cuhk_logo_2x_2674588b4f","thumbnail_cuhk_logo_2x.png",11.33,44,"cuhk_logo_2x_2674588b4f",8.47,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/cuhk_logo_2x_2674588b4f.png","2024-10-21T16:25:04.093Z",{"id":946,"variation":595,"button":1232},[1233],{"id":335,"label":598,"size":599,"color":600,"style":15,"icon":601,"iconPosition":602,"url":1234,"newWindow":8,"downloadable":15,"shape":15},"https://www.cuhk.edu.hk/","-166",{"id":310,"name":1237,"description":1238,"createdAt":1239,"updatedAt":1240,"publishedAt":1241,"url_path_id":1242,"logo":1243,"website":1276,"url_path":1280},"California State University, Long Beach","\u003Cp>Openings:\u003C/p>\u003Cp>\u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https://urldefense.com/v3/__https://careers.pageuppeople.com/873/lb/en-us/job/543010/assistant-professor-of-computer-science__;!!IKRxdwAv5BmarQ!eQj8K4F3IfjWIwE6lI2-CE4VMHwlbceaBpx6Qm-22ksIX6ZjXv3PrCSF51VgT13ifmtvdqiqtUzmU1Zx7gIuBOf2bWY$\">Assistant Professor of Computer Science\u003C/a>\u003C/p>","2024-10-21T16:25:34.926Z","2024-10-27T19:26:45.135Z","2024-10-21T16:25:37.001Z","208",{"id":1244,"name":1245,"alternativeText":15,"caption":15,"width":1246,"height":1247,"formats":1248,"hash":1273,"ext":18,"mime":19,"size":81,"url":1274,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1275,"updatedAt":1275},136,"49e1116896ee3dd71dd426fcd25cc16b.png",1280,800,{"large":1249,"small":1255,"medium":1261,"thumbnail":1267},{"ext":18,"url":1250,"hash":1251,"mime":19,"name":1252,"path":15,"size":1253,"width":640,"height":1254},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/large_49e1116896ee3dd71dd426fcd25cc16b_10ef1ddb33.png","large_49e1116896ee3dd71dd426fcd25cc16b_10ef1ddb33","large_49e1116896ee3dd71dd426fcd25cc16b.png",52.7,625,{"ext":18,"url":1256,"hash":1257,"mime":19,"name":1258,"path":15,"size":1259,"width":648,"height":1260},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/small_49e1116896ee3dd71dd426fcd25cc16b_10ef1ddb33.png","small_49e1116896ee3dd71dd426fcd25cc16b_10ef1ddb33","small_49e1116896ee3dd71dd426fcd25cc16b.png",23.09,313,{"ext":18,"url":1262,"hash":1263,"mime":19,"name":1264,"path":15,"size":1265,"width":655,"height":1266},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/medium_49e1116896ee3dd71dd426fcd25cc16b_10ef1ddb33.png","medium_49e1116896ee3dd71dd426fcd25cc16b_10ef1ddb33","medium_49e1116896ee3dd71dd426fcd25cc16b.png",37.06,469,{"ext":18,"url":1268,"hash":1269,"mime":19,"name":1270,"path":15,"size":1271,"width":589,"height":1272},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/thumbnail_49e1116896ee3dd71dd426fcd25cc16b_10ef1ddb33.png","thumbnail_49e1116896ee3dd71dd426fcd25cc16b_10ef1ddb33","thumbnail_49e1116896ee3dd71dd426fcd25cc16b.png",10.13,153,"49e1116896ee3dd71dd426fcd25cc16b_10ef1ddb33","https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/49e1116896ee3dd71dd426fcd25cc16b_10ef1ddb33.png","2024-10-21T16:21:43.178Z",{"id":396,"variation":595,"button":1277},[1278],{"id":316,"label":598,"size":599,"color":600,"style":15,"icon":601,"iconPosition":602,"url":1279,"newWindow":8,"downloadable":15,"shape":15},"https://www.csulb.edu/","-167",{"id":227,"name":1282,"description":1283,"createdAt":1284,"updatedAt":1285,"publishedAt":1286,"url_path_id":1287,"logo":1288,"website":1320,"url_path":1325},"NVIDIA","\u003Cp>Openings:\u003C/p>\u003Cul>\u003Cli>\u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/details/Research-Scientist--Design-Automation---New-College-Grad-2025_JR1989394-1?q=JR1989394\">Research scientist\u003C/a>\u003C/li>\u003Cli>\u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/PhD-Research-Intern--Robotics-and-or-Autonomous-Vehicles---2025_JR1989940-1?q=JR1989940+PhD+Research+Intern,+Robotics+and/or+Autonomous+Vehicles+-+2025\">Internship link\u003C/a>\u003C/li>\u003C/ul>","2024-10-21T16:26:10.208Z","2024-10-28T21:11:00.165Z","2024-10-21T16:26:12.361Z","209",{"id":1289,"name":1290,"alternativeText":15,"caption":15,"width":1291,"height":1292,"formats":1293,"hash":1316,"ext":18,"mime":19,"size":1317,"url":1318,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1319,"updatedAt":1319},135,"nvidia-logo-horz.png",1070,601,{"large":1294,"small":1300,"medium":1305,"thumbnail":1311},{"ext":18,"url":1295,"hash":1296,"mime":19,"name":1297,"path":15,"size":1298,"width":640,"height":1299},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/large_nvidia_logo_horz_e2054e7730.png","large_nvidia_logo_horz_e2054e7730","large_nvidia-logo-horz.png",39.87,562,{"ext":18,"url":1301,"hash":1302,"mime":19,"name":1303,"path":15,"size":1304,"width":648,"height":1034},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/small_nvidia_logo_horz_e2054e7730.png","small_nvidia_logo_horz_e2054e7730","small_nvidia-logo-horz.png",14.82,{"ext":18,"url":1306,"hash":1307,"mime":19,"name":1308,"path":15,"size":1309,"width":655,"height":1310},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/medium_nvidia_logo_horz_e2054e7730.png","medium_nvidia_logo_horz_e2054e7730","medium_nvidia-logo-horz.png",25.1,421,{"ext":18,"url":1312,"hash":1313,"mime":19,"name":1314,"path":15,"size":1315,"width":589,"height":1046},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/thumbnail_nvidia_logo_horz_e2054e7730.png","thumbnail_nvidia_logo_horz_e2054e7730","thumbnail_nvidia-logo-horz.png",6.41,"nvidia_logo_horz_e2054e7730",8.64,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/nvidia_logo_horz_e2054e7730.png","2024-10-21T16:21:43.111Z",{"id":415,"variation":595,"button":1321},[1322],{"id":1323,"label":598,"size":599,"color":600,"style":15,"icon":601,"iconPosition":602,"url":1324,"newWindow":8,"downloadable":15,"shape":15},73,"https://www.nvidia.com/en-us/","-168",{"id":247,"name":1327,"description":1328,"createdAt":1329,"updatedAt":1330,"publishedAt":1331,"url_path_id":1332,"logo":1333,"website":1353,"url_path":1358},"Arizona State University","\u003Cp>Openings:\u003C/p>\u003Col style=\"list-style-type:decimal;\">\u003Cli>\u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https://apply.interfolio.com/156770\">Professor (All Ranks) in Microelectronics\u003C/a>\u003C/li>\u003C/ol>","2024-10-21T16:27:22.029Z","2024-10-26T20:56:24.414Z","2024-10-21T16:27:23.897Z","210",{"id":1334,"name":1335,"alternativeText":15,"caption":15,"width":1336,"height":1337,"formats":1338,"hash":1349,"ext":18,"mime":19,"size":1350,"url":1351,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1352,"updatedAt":1352},130,"images (4).png",512,98,{"small":1339,"thumbnail":1344},{"ext":18,"url":1340,"hash":1341,"mime":19,"name":1342,"path":15,"size":1343,"width":648,"height":766},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/small_images_4_722bb37608.png","small_images_4_722bb37608","small_images (4).png",33.41,{"ext":18,"url":1345,"hash":1346,"mime":19,"name":1347,"path":15,"size":1348,"width":589,"height":539},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/thumbnail_images_4_722bb37608.png","thumbnail_images_4_722bb37608","thumbnail_images (4).png",13.53,"images_4_722bb37608",6.12,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/images_4_722bb37608.png","2024-10-21T16:21:42.665Z",{"id":1055,"variation":595,"button":1354},[1355],{"id":1356,"label":598,"size":599,"color":600,"style":15,"icon":601,"iconPosition":602,"url":1357,"newWindow":15,"downloadable":15,"shape":15},74,"https://www.asu.edu/","-169",{"id":509,"name":1360,"description":1361,"createdAt":1362,"updatedAt":1363,"publishedAt":1364,"url_path_id":1365,"logo":1366,"website":1386,"url_path":1390},"University of Wisconsin","\u003Cp>Openings:\u003C/p>\u003Col style=\"list-style-type:decimal;\">\u003Cli>\u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https://jobs.wisc.edu/jobs/professor-open-rank-in-electrical-computer-engineering-ai-for-chip-design-madison-wisconsin-united-states\">Professor (open rank) in Electrical &amp; Computer Engineering - AI for Chip Design\u003C/a>\u003C/li>\u003C/ol>\u003Cp>&nbsp;\u003C/p>\u003Cp>&nbsp;\u003C/p>","2024-10-21T16:28:02.562Z","2024-10-26T20:56:56.929Z","2024-10-21T16:28:04.775Z","211",{"id":1367,"name":1368,"alternativeText":15,"caption":15,"width":1369,"height":1370,"formats":1371,"hash":1383,"ext":18,"mime":19,"size":180,"url":1384,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1385,"updatedAt":1385},132,"vert-w-crest-logo-web-digital-color.png",600,400,{"small":1372,"thumbnail":1378},{"ext":18,"url":1373,"hash":1374,"mime":19,"name":1375,"path":15,"size":1376,"width":648,"height":1377},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/small_vert_w_crest_logo_web_digital_color_beb0805fb0.png","small_vert_w_crest_logo_web_digital_color_beb0805fb0","small_vert-w-crest-logo-web-digital-color.png",62.38,333,{"ext":18,"url":1379,"hash":1380,"mime":19,"name":1381,"path":15,"size":1382,"width":1165,"height":622},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/thumbnail_vert_w_crest_logo_web_digital_color_beb0805fb0.png","thumbnail_vert_w_crest_logo_web_digital_color_beb0805fb0","thumbnail_vert-w-crest-logo-web-digital-color.png",20.47,"vert_w_crest_logo_web_digital_color_beb0805fb0","https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/vert_w_crest_logo_web_digital_color_beb0805fb0.png","2024-10-21T16:21:42.813Z",{"id":520,"variation":595,"button":1387},[1388],{"id":233,"label":598,"size":599,"color":600,"style":15,"icon":601,"iconPosition":602,"url":1389,"newWindow":8,"downloadable":15,"shape":15},"https://www.wisc.edu/","-170",{"id":200,"name":1392,"description":45,"createdAt":1393,"updatedAt":1394,"publishedAt":1395,"url_path_id":1396,"logo":1397,"website":1425,"url_path":1429},"Villanova University","2024-10-26T11:20:53.250Z","2024-10-26T11:20:55.579Z","2024-10-26T11:20:55.572Z","212",{"id":1046,"name":1398,"alternativeText":15,"caption":15,"width":1246,"height":1399,"formats":1400,"hash":1421,"ext":760,"mime":763,"size":1422,"url":1423,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1424,"updatedAt":1424},"image_1579638630.no.size.img.jpg",960,{"large":1401,"small":1406,"medium":1411,"thumbnail":1416},{"ext":760,"url":1402,"hash":1403,"mime":763,"name":1404,"path":15,"size":1405,"width":640,"height":655},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/large_image_1579638630_no_size_img_0c4aefb873.jpg","large_image_1579638630_no_size_img_0c4aefb873","large_image_1579638630.no.size.img.jpg",34.67,{"ext":760,"url":1407,"hash":1408,"mime":763,"name":1409,"path":15,"size":1410,"width":648,"height":1079},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/small_image_1579638630_no_size_img_0c4aefb873.jpg","small_image_1579638630_no_size_img_0c4aefb873","small_image_1579638630.no.size.img.jpg",13.1,{"ext":760,"url":1412,"hash":1413,"mime":763,"name":1414,"path":15,"size":1415,"width":655,"height":1028},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/medium_image_1579638630_no_size_img_0c4aefb873.jpg","medium_image_1579638630_no_size_img_0c4aefb873","medium_image_1579638630.no.size.img.jpg",22.85,{"ext":760,"url":1417,"hash":1418,"mime":763,"name":1419,"path":15,"size":1420,"width":621,"height":622},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/thumbnail_image_1579638630_no_size_img_0c4aefb873.jpg","thumbnail_image_1579638630_no_size_img_0c4aefb873","thumbnail_image_1579638630.no.size.img.jpg",3.51,"image_1579638630_no_size_img_0c4aefb873",49.04,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/image_1579638630_no_size_img_0c4aefb873.jpg","2024-10-26T11:20:33.114Z",{"id":1133,"variation":595,"button":1426},[1427],{"id":16,"label":598,"size":599,"color":600,"style":15,"icon":601,"iconPosition":602,"url":1428,"newWindow":15,"downloadable":15,"shape":15},"https://www1.villanova.edu/university.html","-171",{"id":324,"name":1431,"description":45,"createdAt":1432,"updatedAt":1433,"publishedAt":1434,"url_path_id":1435,"logo":1436,"website":1450,"url_path":1455},"Syracuse University","2024-10-26T18:34:30.431Z","2024-10-26T18:35:05.768Z","2024-10-26T18:35:05.761Z","213",{"id":1437,"name":1438,"alternativeText":15,"caption":15,"width":1439,"height":649,"formats":1440,"hash":1446,"ext":18,"mime":19,"size":1447,"url":1448,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1449,"updatedAt":1449},139,"images (5).png",384,{"thumbnail":1441},{"ext":18,"url":1442,"hash":1443,"mime":19,"name":1444,"path":15,"size":1445,"width":589,"height":582},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/thumbnail_images_5_292bd7738d.png","thumbnail_images_5_292bd7738d","thumbnail_images (5).png",12.99,"images_5_292bd7738d",4.92,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/images_5_292bd7738d.png","2024-10-26T18:34:09.860Z",{"id":212,"variation":595,"button":1451},[1452],{"id":1453,"label":598,"size":599,"color":600,"style":15,"icon":601,"iconPosition":602,"url":1454,"newWindow":8,"downloadable":15,"shape":15},77,"https://www.syracuse.edu/","-172",{"pagination":1457},{"page":5,"pageSize":324,"pageCount":27,"total":102},{"id":102,"heading":1459,"pageHeader":1460,"sections":1462},"Co-Designing NVM-based Systems for Machine Learning Applications",{"id":102,"description":1461,"showPageHeader":8,"backgroundColor":49,"image":15}," ",[1463],{"id":120,"__component":1464,"componentVariation":1465,"contactsVariation":1466,"styles":15,"header":1467,"sessionsGroup":1470},"content.sessions","Sessions Base","Card Contact Full",{"id":247,"heading":15,"prose":1468,"lead":15,"eyebrow":15,"badge":15,"componentVariation":1469,"containerWidth":15,"image":15},"\u003Cp style=\"text-align:justify;\">The emergence of innovative non-volatile memory (NVM) technology has significantly changed the design of &nbsp;intermittently powered embedded systems. NVM offers the opportunity to provide persistent data structures that &nbsp;allow the system to maintain its state and data despite power shortages. However, NVM also presents new &nbsp;challenges, such as wear and tear. At the same time, key memory parameters like read/write access times vary &nbsp;greatly, which can lead to new trade-offs for customization in embedded systems design and for novel embedded &nbsp;architectures in general. When NVM memories are deployed in an embedded system, this affects the entire &nbsp;computing stack, from programming and operating systems to embedded systems architectures and micro architectures. This special session aims to demonstrate the new opportunities in embedded architectures with NVM &nbsp;memories and how, in particular, embedded machine-learning applications may benefit.&nbsp;\u003C/p>\u003Cp style=\"text-align:justify;\">The team behind this ICCAD special session proposal offers a wide range of expertise, from software techniques to &nbsp;embedded architectures and NVM technologies. It comprises researchers from six institutions in Taiwan, Germany, &nbsp;the Netherlands, and the USA, offering diverse research perspectives from both academia and industry.\u003C/p>","Heading Center",[1471],{"id":120,"groupTitle":15,"sessions":1472},[1473,1506,1539,1592],{"id":220,"session":1474},{"id":220,"title":1475,"teaser":1476,"body":45,"createdAt":1477,"updatedAt":1478,"publishedAt":1479,"url_path_id":1480,"contacts":1481,"url_path":1505},"Advancing Edge Machine Learning with Non-Volatile Memory Technologies","\u003Cp style=\"text-align:justify;\">We will discuss employing non-volatile memory technologies like phase change memory (PCM) and memristor &nbsp;devices to enhance machine learning (ML) capabilities in edge environments. Both software and hardware approaches &nbsp;covered to implementing these technologies. We explore using PCM's write modes to speed up Convolutional Neural &nbsp;Networks (CNNs) by dynamically adjusting write modes based on retention time (software approach). Additionally, &nbsp;we examine how these disruptive memory technologies can impact ML performance and propose architectural and &nbsp;system-level optimizations to improve efficiency and reduce energy consumption (hardware approach). Our goal is to &nbsp;optimize ML execution in resource-constrained edge settings by addressing challenges related to non-volatile &nbsp;memory's write latency and endurance and leveraging their underlying execution properties to improve energy &nbsp;efficiency.\u003C/p>","2024-07-12T12:52:36.095Z","2024-07-12T12:52:37.554Z","2024-07-12T12:52:37.550Z","122",[1482],{"id":138,"name":1483,"committee":15,"position":15,"affiliation":1484,"email":15,"biography":1485,"createdAt":1486,"updatedAt":1486,"url_path_id":1487,"contactPhoto":1488,"socialLinks":1503,"url_path":1504},"Jörg Henkel","Karlsruhe Institute of Technology, Germany","\u003Cp style=\"text-align:justify;\">Jörg Henkel's research interest includes co-design for embedded hardware/software systems with respect to power, security and with means of resource-constrained machine learning techniques. He has led several conferences as a &nbsp;General Chair including DAC, ICCAD and ESWeek, He serves as a steering committee chair/member for leading &nbsp;conferences and journals for embedded and cyber-physical systems. He has coordinated the DFG Program SPP 1500 &nbsp;\"Dependable Embedded Systems'' and was a Site Coordinator of the DFG TR89 Collaborative Research Center on &nbsp;\"Invasive Computing''. He is the Chairman of the IEEE Computer Society, Germany Chapter. He has received six best &nbsp;paper awards throughout his career from, among others, ICCAD, ESWeek, and DATE. For two consecutive terms &nbsp;each, he served as the Editor-in-Chief for both the ACM Transactions on Embedded Computing Systems and the IEEE &nbsp;Design &amp; Test magazine. He is currently (2024) the Chair of the Steering Committee of ESWeek and the Vice &nbsp;President for Publications at IEEE CEDA. He is a Fellow of both the ACM and IEEE.&nbsp;\u003C/p>","2024-07-12T12:46:52.592Z","119",{"id":1489,"name":1490,"alternativeText":15,"caption":15,"width":1491,"height":1492,"formats":1493,"hash":1499,"ext":760,"mime":763,"size":1500,"url":1501,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1502,"updatedAt":1502},86,"Jörg Henkel.jpg",247,204,{"thumbnail":1494},{"ext":760,"url":1495,"hash":1496,"mime":763,"name":1497,"path":15,"size":803,"width":1498,"height":622},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/thumbnail_Joerg_Henkel_81698f8e8d.jpg","thumbnail_Joerg_Henkel_81698f8e8d","thumbnail_Jörg Henkel.jpg",189,"Joerg_Henkel_81698f8e8d",6.31,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/Joerg_Henkel_81698f8e8d.jpg","2024-07-12T12:46:50.157Z",[],"-91","-94",{"id":241,"session":1507},{"id":241,"title":1508,"teaser":1509,"body":45,"createdAt":1510,"updatedAt":1511,"publishedAt":1512,"url_path_id":1513,"contacts":1514,"url_path":1538},"Challenges and opportunities in accelerating large-scale search problems using NVM-based in memory computing","\u003Cp style=\"text-align:justify;\">Large-scale search is prevalent in machine learning applications, but accelerating such search operations faces &nbsp;challenges due to the data scale and irregular memory accesses. Non-volatile memory based content addressable &nbsp;memories (CAMs) have emerged as a promising solution for accelerating large-scale search tasks. However, selecting &nbsp;the most suitable NVM devices and architectures for implementing CAMs is a complex problem. This talk will explore &nbsp;how different choices of NVM devices and architectures can impact the overall performance of in-memory search &nbsp;accelerators. The insights gained from this discussion will provide valuable guidance to both device researchers and &nbsp;architects in their endeavor of developing high-performance accelerators for large-scale search tasks.\u003C/p>","2024-07-12T12:53:00.065Z","2024-07-12T12:53:01.552Z","2024-07-12T12:53:01.548Z","123",[1515],{"id":496,"name":1516,"committee":15,"position":15,"affiliation":1517,"email":15,"biography":1518,"createdAt":1519,"updatedAt":1520,"url_path_id":1521,"contactPhoto":1522,"socialLinks":1536,"url_path":1537},"Sharon (Xiaobo) Hu","University of Notre Dame, USA","\u003Cp style=\"text-align:justify;\">\u003Cspan style=\"background-color:transparent;color:#000000;\">Xiaobo Sharon Hu\u003Cstrong>&nbsp;\u003C/strong>is a professor in the department of Computer Science and Engineering at the University of Notre&nbsp; Dame, USA. Her research interests include low-power system design, circuit and architecture design with emerging&nbsp; technologies, real-time embedded systems, and hardware-software co-design. She has published more than 450 papers&nbsp; in these areas. Some of her recognitions include the Best Paper Award from the Design Automation Conference,&nbsp; International Conference on Computer-Aided Design, and the International Symposium on Low Power Electronics&nbsp; and Design; Marie R. Pistilli Women in Engineering Achievement Award; and NSF Career award. She served as the&nbsp; General Chair and/or TPC Chair of Design Automation Conference, Real-Time Systems Symposium, Embedded&nbsp; Systems Week, etc. She was the Editor-in-Chief of ACM Transactions on Design Automation of Electronic Systems&nbsp; and served as Associate Editor of other ACM and IEEE journals. Sharon Hu is a Fellow of the ACM and the IEEE.\u003C/span>\u003C/p>","2024-07-12T12:44:26.632Z","2024-07-12T12:45:12.461Z","118",{"id":1523,"name":1524,"alternativeText":15,"caption":15,"width":1525,"height":1525,"formats":1526,"hash":1532,"ext":760,"mime":763,"size":1533,"url":1534,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1535,"updatedAt":1535},85,"Sharon (Xiaobo) Hu.jpg",300,{"thumbnail":1527},{"ext":760,"url":1528,"hash":1529,"mime":763,"name":1530,"path":15,"size":1531,"width":622,"height":622},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/thumbnail_Sharon_Xiaobo_Hu_a4c9748851.jpg","thumbnail_Sharon_Xiaobo_Hu_a4c9748851","thumbnail_Sharon (Xiaobo) Hu.jpg",5.92,"Sharon_Xiaobo_Hu_a4c9748851",16.68,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/Sharon_Xiaobo_Hu_a4c9748851.jpg","2024-07-12T12:43:53.792Z",[],"-90","-95",{"id":1540,"session":1541},29,{"id":1540,"title":1542,"teaser":1543,"body":45,"createdAt":1544,"updatedAt":1545,"publishedAt":1546,"url_path_id":1547,"contacts":1548,"url_path":1591},"Memory-Centric Deployment of Machine Learning Models","\u003Cp style=\"text-align:justify;\">Machine Learning research often centers on high-level models, neglecting the impact of underlying execution &nbsp;properties of memory technologies. Emerging memory technologies bring forth promising features while also &nbsp;presenting significant challenges in system design, including access-dependent latency (as observed in racetrack &nbsp;memory), aging, and reliability issues. It is therefore essential to account for such hardware-dependent properties &nbsp;when deploying machine learning models. By incorporating an understanding of the properties of memory &nbsp;technologies, we can develop architectural-level solutions and system-level mechanisms to enhance performance &nbsp;and/or reduce energy consumption. This is particularly vital for sustainability. In this presentation, we will share our &nbsp;recent insights and experiences in memory-centric deployment tailored for machine learning models.\u003C/p>","2024-07-12T12:53:23.520Z","2024-07-12T12:53:25.141Z","2024-07-12T12:53:25.136Z","124",[1549],{"id":280,"name":1550,"committee":15,"position":15,"affiliation":1551,"email":15,"biography":1552,"createdAt":1553,"updatedAt":1553,"url_path_id":1554,"contactPhoto":1555,"socialLinks":1589,"url_path":1590},"Chia-Lin Yang","NTU, Singapore","\u003Cp style=\"text-align:justify;\">Chia-Lin Yang is a Professor of Computer Science and Information Engineering at NTU. Her research is in the area &nbsp;of computer architecture and systems with focuses on storage/NVM architecture and AI-enabled edge computing. She &nbsp;was the General Co-chair for ISLPED 2017/Micro 2016, and the Program Co-Chair for ISLPED 2016. Dr. Yang is &nbsp;currently serving as the Editor in Chief for IEEE Computer Architecture Letters, Associate Editor for ACM &nbsp;Transactions on Embedded Computing, and ACM Transactions on Computer Architecture and Code Optimizations. &nbsp;She has also served on the technical program committees of several IEEE/ACM conferences, such as ISCA, ASPLOS, &nbsp;HPCA, ISLPED, IPDPS, ICCD, DAC, ICCAD, ISSS+CODES, CASES, Date, ASP-DAC. She received the best paper &nbsp;award of ISLPED 2009 and was a recipient of the 2005 and 2010 IBM Faculty Award.\u003C/p>","2024-07-12T12:48:39.750Z","120",{"id":706,"name":1556,"alternativeText":15,"caption":15,"width":1557,"height":1558,"formats":1559,"hash":1584,"ext":760,"mime":763,"size":1585,"url":1586,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1587,"updatedAt":1588},"Chia-Lin Yang.jpg",1919,1825,{"large":1560,"small":1566,"medium":1572,"thumbnail":1578},{"ext":760,"url":1561,"hash":1562,"mime":763,"name":1563,"path":15,"size":1564,"width":640,"height":1565},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/large_Chia_Lin_Yang_f21881fd4e.jpg","large_Chia_Lin_Yang_f21881fd4e","large_Chia-Lin Yang.jpg",121.89,951,{"ext":760,"url":1567,"hash":1568,"mime":763,"name":1569,"path":15,"size":1570,"width":648,"height":1571},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/small_Chia_Lin_Yang_f21881fd4e.jpg","small_Chia_Lin_Yang_f21881fd4e","small_Chia-Lin Yang.jpg",38.46,475,{"ext":760,"url":1573,"hash":1574,"mime":763,"name":1575,"path":15,"size":1576,"width":655,"height":1577},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/medium_Chia_Lin_Yang_f21881fd4e.jpg","medium_Chia_Lin_Yang_f21881fd4e","medium_Chia-Lin Yang.jpg",76.66,713,{"ext":760,"url":1579,"hash":1580,"mime":763,"name":1581,"path":15,"size":1582,"width":1583,"height":622},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/thumbnail_Chia_Lin_Yang_f21881fd4e.jpg","thumbnail_Chia_Lin_Yang_f21881fd4e","thumbnail_Chia-Lin Yang.jpg",5.58,164,"Chia_Lin_Yang_f21881fd4e",333.63,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/Chia_Lin_Yang_f21881fd4e.jpg","2024-07-12T12:48:18.191Z","2024-07-12T12:48:38.450Z",[],"-92","-96",{"id":261,"session":1593},{"id":261,"title":1594,"teaser":1595,"body":45,"createdAt":1596,"updatedAt":1597,"publishedAt":1598,"url_path_id":1599,"contacts":1600,"url_path":1625},"The landscape of non-volatile memory technologies","\u003Cp style=\"text-align:justify;\">This talk will provide a review of the current state of various non-volatile memory technologies being investigated in &nbsp;both industry and academia. The advantages and disadvantages of each NVM device will be analyzed. Factors that &nbsp;impact their adoption will be discussed.&nbsp;\u003C/p>","2024-07-12T12:53:44.345Z","2024-07-12T12:53:46.066Z","2024-07-12T12:53:46.060Z","125",[1601],{"id":810,"name":1602,"committee":15,"position":15,"affiliation":1603,"email":15,"biography":1604,"createdAt":1605,"updatedAt":1605,"url_path_id":1606,"contactPhoto":1607,"socialLinks":1623,"url_path":1624},"Meng-Fan (Marvin) Chang","National Tsing Hua University, Taiwan","\u003Cp style=\"text-align:justify;\">Meng-Fan (Marvin) Chang is the Director of Corporate Research at TSMC and Distinguished Professor at &nbsp;National Tsing Hua University, Taiwan. His research interests include circuit design for volatile and nonvolatile &nbsp;memory, 3D-Memory, computing-in-memory for AI chips, resistive neuromorphic circuits, etc. Dr. Chang has &nbsp;served as an associate editor for IEEE TVLSI, IEEE TCAD. He also has served as a guest editor of IEEE JSSC, &nbsp;IEEE TCAS-I, IEEE TCAS-II, and IEEE JETCAS. He served on technical program committees for ISSCC, IEDM &nbsp;(Ex-com and MT chair), DAC (sub-com chair), ISCAS (track co-chair), A-SSCC, ASP-DAC (track chair), VLSI DAT (track chair) and numerous international conferences. He is a Fellow of the IEEE.&nbsp;\u003C/p>","2024-07-12T12:52:02.589Z","121",{"id":253,"name":1608,"alternativeText":15,"caption":15,"width":1609,"height":1610,"formats":1611,"hash":1618,"ext":760,"mime":763,"size":1619,"url":1620,"previewUrl":15,"provider":22,"provider_metadata":15,"createdAt":1621,"updatedAt":1622},"Meng-Fan (Marvin) Chang.jpg",352,336,{"thumbnail":1612},{"ext":760,"url":1613,"hash":1614,"mime":763,"name":1615,"path":15,"size":1616,"width":1617,"height":622},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/thumbnail_Meng_Fan_Marvin_Chang_3627adf553.jpg","thumbnail_Meng_Fan_Marvin_Chang_3627adf553","thumbnail_Meng-Fan (Marvin) Chang.jpg",5.51,163,"Meng_Fan_Marvin_Chang_3627adf553",17.59,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iccad24/Meng_Fan_Marvin_Chang_3627adf553.jpg","2024-07-12T12:51:48.657Z","2024-07-12T12:52:01.078Z",[],"-93","-97",{"data":1627,"meta":1633},{"id":102,"heading":1459,"createdAt":1628,"updatedAt":1629,"publishedAt":1630,"url_path_id":1631,"url_path":1632,"contentType":79},"2024-07-12T12:54:01.895Z","2024-07-12T13:19:24.343Z","2024-07-12T12:54:03.523Z","126","/ss3",{},1778851353037]