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DTSTART:19700308T020000
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DTSTART:19701101T020000
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DTSTAMP:20260422T143140Z
LOCATION:B311
DTSTART;TZID=America/New_York:20241121T133000
DTEND;TZID=America/New_York:20241121T140000
UID:submissions.supercomputing.org_SC24_sess381_pap558@linklings.com
SUMMARY:Accelerated Kinetic Monte Carlo Simulations of Atomistically-Resol
 ved Resistive Memory Arrays
DESCRIPTION:Manasa Kaniselvan, Alexander Maeder, Marko Mladenovic, Mathieu
  Luisier, and Alexandros Ziogas (ETH Zürich)\n\nSimulating emerging resist
 ive switching memory devices, such as memristors, requires modeling framew
 orks that can treat the motion of point defects across nanoscale domains. 
 Field-driven Kinetic Monte Carlo (d-KMC) methods that simulate the discret
 e structural evolution of atomic coordinates in the presence of external p
 otential and heat fields can be used for this purpose. While physically si
 milar to conventional KMC methods, field-driven approaches present differe
 nt computational motifs and introduce global communication. Here, we devel
 op the first scalable d-KMC code for resistive memory arrays at atomistic 
 resolution. We accelerate this latency-sensitive simulation on the GPU par
 tition of the LUMI Supercomputer, exploiting the high-speed interconnects 
 between GPUs on the same node. Applied to the technologically relevant HfO
 x material stack, our code enables the first atomistic simulation of 3x3 a
 rrays of resistive switching memory cells with more than 1 million atoms, 
 matching the dimensions of fabricated structures.\n\nTag: Accelerators, Ap
 plications and Application Frameworks, Artificial Intelligence/Machine Lea
 rning, Modeling and Simulation, Numerical Methods\n\nRegistration Category
 : Tech Program Reg Pass\n\nSession Chair: Murali Emani (Argonne National L
 aboratory (ANL))\n\n
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