BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Information Systems Group - ECPv6.4.0.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://isg.ics.uci.edu
X-WR-CALDESC:Events for Information Systems Group
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20230312T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20231105T090000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230602T130000
DTEND;TZID=America/Los_Angeles:20230602T140000
DTSTAMP:20260427T002011
CREATED:20230531T194408Z
LAST-MODIFIED:20230531T194408Z
UID:1580-1685710800-1685714400@isg.ics.uci.edu
SUMMARY:Saeed Kargar: Hamming Tree: The case for Energy-Aware Indexing for NVMs
DESCRIPTION:Zoom Link: https://uci.zoom.us/j/8045933305\n\nAbstract\nNVM technologies play a crucial role in data storage solutions as well as in battery-powered mobile and IoT devices. However\, the challenges of wear-out and energy efficiency need to be addressed for the widespread adoption of NVM. In this presentation\, I will discuss our research endeavors aimed at enhancing various aspects of NVMs and seamlessly integrating these technologies into the memory hierarchy.I will particularly focus on our latest work\, “Hamming Tree\,” which recently got accepted at SIGMOD 2023. The Hamming Tree introduces a novel software-level memory-aware solution designed to intelligently select the memory segment for write operations\, thereby minimizing bit flipping. By reducing bit flips\, we can significantly improve energy consumption and enhance the write endurance of NVMs.To demonstrate the effectiveness of the Hamming Tree approach\, we conducted real evaluations on an Optane memory device. The results revealed substantial improvements in both energy consumption and write endurance for NVMs. These findings underscore the practical benefits that can be achieved by implementing the Hamming Tree technique in NVM technologies.\n\nBio\nSaeed is a sixth-year PhD student at UCSC\, under the supervision of Professor Faisal Nawab. His main research area focuses on storage systems\, Non-Volatile Memory (NVM) technology\, and machine learning for systems.
URL:https://isg.ics.uci.edu/event/saeed-kargar-hamming-tree-the-case-for-energy-aware-indexing-for-nvms/
LOCATION:DBH 4011
END:VEVENT
END:VCALENDAR