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Auflistung nach Schlagwort "Memory"

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  • Textdokument
    NVall: A Crash-Resistant and Kernel-Compatible Memory Allocator for NVRAM
    (Tagungsband des FG-BS Herbsttreffens 2023, 2023) Nguyen, Dustin; Wiedemann, Ole; Nolte, Jörg; Schröder-Preikschat, Wolfgang
    Byte-addressable non-volatile memory is essentially persistent, but slower main memory that needs to be managed accordingly. Typical memory allocators for volatile memory are highly efficient today, but usually never had to be designed to keep their state in main memory consistent at all times against the background of system crashes. In this paper we present NVall, a crash-resistant kernel-level memory allocator for non-volatile RAM (NVRAM). The allocator works in a transactional manner, uses existing volatile memory to improve the performance of normal operation and is able to recover its volatile state from persistent data after a system crash. We implemented the allocator for the FreeBSD kernel and compare its performance against the standard (non-crash-resistant) in-kernel allocator of FreeBSD.
  • Konferenzbeitrag
    Working with Disaggregated Systems. What are the Challenges and Opportunities of RDMA and CXL?
    (BTW 2023, 2023) Geyer, Andreas; Ritter, Daniel; Lee, Dong Hun; Ahn, Minseon; Pietrzyk, Johannes; Krause, Alexander; Habich, Dirk; Lehner, Wolfgang
    The usage of disaggregated systems in large scale data-centers offers a lot of flexibility and easy scalability in comparison to the traditional statically configured scale-up and scaleout systems. Disaggregated architectures allow for the creation of software composable systems in order to create a virtual machine by software out of the pool of available hardware resources. In this paper, we propose a memory disaggregation classification and applicable use cases. We would be delighted to present our ideas and the memory disaggregation classification at the workshop and discuss the presented ideas. The valuable feedback of the attendees will help us to further refine our classification both in terms of preciseness and applicability.