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:20260730T152637Z
LOCATION:
DTSTART;TZID=America/Los_Angeles:20260728T123900
DTEND;TZID=America/Los_Angeles:20260728T124000
UID:dac_DAC 2026_sess315_RESEARCH2997@linklings.com
SUMMARY:WINNER: A Wireless In-Vivo/Ex-Vivo Runtime Analyzer for Intermitte
 nt Computing
DESCRIPTION:Justin Feng (University of California, Los Angeles); Arman Roo
 hi (University of Illinois Chicago); and Nader Sehatbakhsh (University of 
 California, Los Angeles)\n\nIntermittent computing systems suffer from lim
 ited observability and lack effective runtime analysis mechanisms. Unlike 
 conventional systems, they are vulnerable not only to typical programming 
 errors but also to a distinct class of failures known as \textit{intermitt
 ence bugs}, which emerge due to their fragmented, non-linear execution mod
 el caused by frequent power loss. Traditional debugging tools are ill-suit
 ed for this context, as they assume persistent power and continuous connec
 tivity. To address these challenges, we present a new  Wireless In-Vivo/Ex
 -Vivo runtime analyzer caller WINNER. It is a lightweight task management 
 layer that records fine-grained execution traces—such as interrupts, memor
 y/register states—into non-volatile memory during regular operation (in-vi
 vo), and exposes them only during debug sessions (ex-vivo) triggered autom
 atically by a user-defined property violation such as exceeding repeated t
 ask execution. Building on this, WINNER introduces a new software-based co
 mmunication paradigm that leverages controllable electromagnetic emanation
 s (side-channel) for frequent but low-rate uplink communication, enabling 
 software-controlled ultra-low-energy data transmission (up to 4x lower tha
 n BLE). We evaluate our solution across six applications and five platform
 s, demonstrating its effectiveness in detecting various bugs. The introduc
 ed overhead is minimal, with a runtime increase of less than 1% and an ave
 rage binary size increase of 6%.  Our tool is open-sourced.\n\nTopics: Qua
 ntum\n\nTrack: DES6. Quantum Computing, Systems\n\nSession Chairs: Hokeun 
 Kim (Arizona State University); BaekGyu Kim (Daegu Gyeongbuk Institute of 
 Science and Technology); Xiang Chen (Peking University); Sangyeob Kim (Yon
 sei University); Robert M. Radway (University of Pennsylvania); Prashanth 
 Mohan (University of Pittsburgh); Xiaoxuan Yang (University of Virginia, S
 tanford University); Ramtin Zand (University of South Carolina); Hadi Kama
 li (University of Central Florida); Jiafeng Xie (Villanova University); Pr
 abuddha Chakraborty (University of Maine); Junichiro Kadomoto (University 
 of Tokyo); and Yosuke Ueno (RIKEN)\n\n
END:VEVENT
END:VCALENDAR