BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Drupal iCal API//EN X-WR-CALNAME:Events items teaser X-WR-TIMEZONE:America/Toronto BEGIN:VTIMEZONE TZID:America/Toronto X-LIC-LOCATION:America/Toronto BEGIN:DAYLIGHT TZNAME:EDT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 DTSTART:20240310T070000 END:DAYLIGHT BEGIN:STANDARD TZNAME:EST TZOFFSETFROM:-0400 TZOFFSETTO:-0500 DTSTART:20231105T060000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT UID:682e6497efd1c DTSTART;TZID=America/Toronto:20240404T103000 SEQUENCE:0 TRANSP:TRANSPARENT DTEND;TZID=America/Toronto:20240404T113000 URL:/computer-science/events/seminar-data-systems-archi tecture-tailored-parallelization-for-accessible-large-model-era SUMMARY:Seminar • Data Systems • Architecture-Tailored Parallelization for\nAccessible Large Model Era CLASS:PUBLIC DESCRIPTION:Summary \n\nPLEASE NOTE: THIS SEMINAR WILL TAKE PLACE IN DC 130 4.\n\nXUPENG MIAO\, POSTDOCTORAL RESEARCHER\n_Computer Science Department\ , Carnegie Mellon University_\n\nIn this talk\, I will introduce my work o n machine learning (ML)\nparallelization\, a critical endeavor to bridge t he significant gap\nbetween diverse ML programs and multitiered computing architectures.\nSpecifically\, I will explore ML parallelization at three distinct yet\ninterconnected levels.\n DTSTAMP:20250521T234111Z END:VEVENT END:VCALENDAR