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LOCATION:601
DTSTART;TZID=America/Denver:20231113T140000
DTEND;TZID=America/Denver:20231113T140100
UID:submissions.supercomputing.org_SC23_sess458_wksp114@linklings.com
SUMMARY:Workshop on Memory Technologies, Systems, and Applications
DESCRIPTION:Tyler Allen (University of North Carolina, Charlotte); Ivy Pen
 g (KTH Royal Institute of Technology, Sweden); Ron Brightwell (Sandia Nati
 onal Laboratories); and Maya Gokhale (Lawrence Livermore National Laborato
 ry (LLNL))\n\nThe growing disparity between compute and memory speed, know
 n as the memory wall problem, has been one of the most critical and long-s
 tanding challenges in the computing industry. The prevalence of heterogene
 ous computing, the ongoing expansion of the memory hierarchy, and the adve
 nt of disaggregated architectures have considerably expanded the scope of 
 this problem. Computer architecture, operating systems, storage systems, p
 erformance models, tools, and applications themselves are being enhanced o
 r even redesigned to address the performance, programmability, and energy 
 efficiency challenges of the increasingly complex and heterogeneous memory
  systems. Exploring the intersection of these research areas will enable c
 ohesive and synergistic development and collaboration on the future of mem
 ory technologies, systems, and applications. MTSA’23: Workshop on Memory T
 echnologies, Systems, and Applications aims to bring together researchers 
 from industry, government labs, and academia concerned with the challenges
  of efficiently using existing and emerging memory systems.\n\nTag: Applic
 ations, Architecture and Networks, Data Movement and Memory, Heterogeneous
  Computing, I/O and File Systems, Large Scale Systems, Middleware and Syst
 em Software, Performance Measurement, Modeling, and Tools, Performance Opt
 imization\n\nRegistration Category: Workshop Reg Pass\n\nSession Chairs: T
 yler Allen (NVIDIA), Ron Brightwell (Sandia National Laboratories), Maya G
 okhale (Lawrence Livermore National Laboratory (LLNL)), and Ivy Peng (KTH 
 Royal Institute of Technology)\n\n
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