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Exploiting CXL-based Memory for Distributed Deep Learning.

, , , и . ICPP, стр. 19:1-19:11. ACM, (2022)

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Predicting Sporadic Grid Data Transfers., и . HPDC, стр. 188-. IEEE Computer Society, (2002)Governor: Autonomic Throttling for Aggressive Idle Resource Scavenging., , , и . ICAC, стр. 64-75. IEEE Computer Society, (2005)Enabling the Co-Allocation of Grid Data Transfers.. GRID, стр. 44-51. IEEE Computer Society, (2003)Exploiting CXL-based Memory for Distributed Deep Learning., , , и . ICPP, стр. 19:1-19:11. ACM, (2022)Predicting the Performance of Wide Area Data Transfers., , и . IPDPS, IEEE Computer Society, (2002)The PODOS File System - Exploiting the High-Speed Communication Subsystem., и . PDPTA, CSREA Press, (2000)Coupling prefix caching and collective downloads for remote dataset access., , , , , и . ICS, стр. 229-238. ACM, (2006)Exploiting user activeness for data retention in HPC systems., , , , , и . SC, стр. 102. ACM, (2021)FreeLoader: Scavenging Desktop Storage Resources for Scientific Data., , , , , и . SC, стр. 56. IEEE Computer Society, (2005)Using Disk Throughput Data in Predictions of End-to-End Grid Data Transfers., и . GRID, том 2536 из Lecture Notes in Computer Science, стр. 291-304. Springer, (2002)