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DTSTAMP:20181221T160909Z
LOCATION:C141/143/149
DTSTART;TZID=America/Chicago:20181114T103000
DTEND;TZID=America/Chicago:20181114T120000
UID:submissions.supercomputing.org_SC18_sess205@linklings.com
SUMMARY:Non-Volatile Memory
DESCRIPTION:Paper\nGPUs, Memory, NVRAM, Performance, System Software, Tool
 s, Tech Program Reg Pass\n\nDRAGON: Breaking GPU Memory Capacity Limits wi
 th Direct NVM Access\n\nMarkthub, Belviranli, Lee, Vetter, Matsuoka\n\nHet
 erogeneous computing with accelerators is growing in importance in high pe
 rformance computing (HPC). Recently, application datasets have expanded be
 yond the memory capacity of these accelerators, and often beyond the capac
 ity of their hosts. Meanwhile, nonvolatile memory (NVM) storage has emerge
 d...\n\n---------------------\nSiena: Exploring the Design Space of Hetero
 geneous Memory Systems\n\nPeng, Vetter\n\nMemory systems are crucial to th
 e performance, power, and cost of high-performance computing systems. Rece
 ntly, multiple factors are driving the need for more complex, deep memory 
 hierarchies. However, architects and customers are struggling to design me
 mory systems that effectively balance multiple...\n\n---------------------
 \nRuntime Data Management on Non-Volatile Memory-Based Heterogeneous Memor
 y for Task-Parallel Programs\n\nWu, Ren, Li\n\nNon-volatile memory (NVM) p
 rovides a scalable solution to replace DRAM as main memory. Because of rel
 atively high latency and low bandwidth of NVM (comparing with DRAM), NVM o
 ften pairs with DRAM to build a  heterogeneous main memory system (HMS). D
 eciding data placement on NVM-based HMS is critical...\n
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