BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
X-LIC-LOCATION:America/Los_Angeles
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20240626T180034Z
LOCATION:Level 2 Exhibit Hall
DTSTART;TZID=America/Los_Angeles:20240624T170000
DTEND;TZID=America/Los_Angeles:20240624T180000
UID:dac_DAC 2024_sess232_ETPOST213@linklings.com
SUMMARY:A Novel Approach to Cost-Efficient Hybrid Cloud Solutions with Sea
 Scape's Data Lake and Micro-Resiliency
DESCRIPTION:Engineering Track Poster\n\nMohit Srivastava and Ajay Chopra (
 Arm Ltd.) and Naveen B, Sankar Ramachandran, Sooraj JP, and Vyom Garg (Ans
 ys)\n\narm has always been exploring the cloud advantages and is quite mot
 ivated to be fully Cloud enabled. On cloud, spot instances have always bee
 n the cost effective solution but not many EDA tools can leverage this adv
 antage. Spot instances offer a cost-effective solution by taking advantage
  of unused cloud resources. arm has already adopted spot instances for sma
 ll/short workloads like APL characterizations.The runtime of Redhawk-SC EM
 IR runs is high, leading to a higher susceptibility for failure due to ext
 ended durations and more resource requirement. Goal is for RHSC to harness
 es this capability for large work loads, to provide a Viable Option to Opt
 imize the user's Cloud Expenses.\n\nThe new DataLake feature offers a more
  cost-effective solution by dividing workers into two categories. Executio
 n workers are launched on spot instances and are responsible solely for th
 e execution of jobs and with micro-resiliency, the eviction of spot instan
 ces is handled gracefully. On the other hand, DataLake workers are launche
 d on reserved instances to ensure reliability since they are file servers.
  By dividing workers into these two categories and leveraging the capabili
 ties of reserved and spot instances, this approach enables a highly scalab
 le and cost-efficient system with robust micro-resiliency.\n\nDataLake run
 s on aarch64 machines were completed successfully inspite of spot instance
 s eviction. There is reduction in cost seen on DataLake runs as compared t
 o reserved with minimal impact on run time and no change in QoR.\n\nTopic:
  Back-End Design, Embedded Systems, Front-End Design, IP
END:VEVENT
END:VCALENDAR
