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DTSTAMP:20230124T171523Z
LOCATION:C143-149
DTSTART;TZID=America/Chicago:20221114T152900
DTEND;TZID=America/Chicago:20221114T155400
UID:submissions.supercomputing.org_SC22_sess461_ws_ftxs103@linklings.com
SUMMARY:Recovery of Distributed Iterative Solvers for Linear Systems Using
  Non-Volatile RAM
DESCRIPTION:Workshop\n\nRecovery of Distributed Iterative Solvers for Line
 ar Systems Using Non-Volatile RAM\n\nFridman, Snir, Levin, Hendler, Attiya
 ...\n\nHPC systems are a critical resource for scientific research. The in
 creased demand for computational power and memory ushers in the exascale e
 ra, in which complex supercomputers consist of numerous compute nodes and 
 are consequently expected to experience frequent faults and crashes.\n\nEx
 act state reconstruction (ESR) was proposed as an alternative mechanism to
  alleviate the impact of frequent failures on long-term computations. ESR 
 has been shown to provide exact reconstruction of iterative solvers while 
 avoiding the need for costly checkpointing. However, ESR currently relies 
 on volatile memory for fault tolerance, and must therefore maintain redund
 ancies in the RAM of multiple nodes, incurring high memory and network ove
 rheads.\n\nRecent supercomputer designs feature emerging non-volatile RAM 
 (NVRAM) technology. This paper investigates how NVRAM can be utilized to d
 evise an enhanced ESR-based recovery mechanism that is more efficient and 
 provides full resilience, based on a novel MPI implementation of One-Sided
  Communication (OSC) over RDMA.\n\nSession Format: Recorded\n\nRegistratio
 n Category: Workshop Reg Pass
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