TY - GEN A1 - Eichler, Christian A1 - Hofmeier, Henriette A1 - Reif, Stefan A1 - Hönig, Timo A1 - Nolte, Jörg A1 - Schröder-Preikschat, Wolfgang T1 - Neverlast: Towards the Design und Implementation of the NVM-based Everlasting Operating System T2 - Hawaii International Conference on System Sciences 2021 - HICSS-54 KW - operating systems KW - non-volatile memory KW - software development for mobile devices, the internet-of-things, and cyber physical systems energy Y1 - 2021 UR - https://scholarspace.manoa.hawaii.edu/handle/10125/71491 U6 - https://doi.org/10.24251/HICSS.2021.870 SP - 7227 EP - 7236 PB - Scholarspace ER - TY - GEN A1 - Rabenstein, Jonas A1 - Nguyen, Dustin A1 - Giersch, Oliver A1 - Eichler, Christian A1 - Hönig, Timo A1 - Nolte, Jörg A1 - Schröder-Preikschat, Wolfgang ED - Goumas, Georgios ED - Tomforde, Sven ED - Brehm, Jürgen ED - Wildermann, Stefan ED - Pionteck, Thilo T1 - Back to the core-memory age: running operating systems in NVRAM only T2 - Proceedings: architecture of computing systems: 36th International Conference, ARCS 2023, June 13 - 15, 2023 N2 - The classic core memory was completely non-volatile and thus kept at least part of the operating system persistently in main memory, even over power cycles. Nowadays we can repeat this approach with NVRAM, but with terabytes of main memory on a completely different scale and with parts of the operating-system state stored in volatile CPU caches. In this paper, we discuss our experiences of running large modern operating systems including their applications entirely in NVRAM. We adapted stock Linux and FreeBSD kernels to work exclusively with NVRAM by hiding all DRAM from the kernels at boot time to establish a realistic performance baseline without changing anything else. Following this entirely NVRAM-agnostic approach, we could observe an effective performance penalty of a factor of about four, but only negligible increases in whole-system power draw. For our system with two CPU sockets and 56 cores total, we also observed a reduction in power draw in several scenarios. Due to prolonged execution times, the energy consumption increased as well for these measured workloads. While this might be discouraging at first sight, this result was achieved without any performance tuning as to the specific characteristics of today’s NVRAM technology. Therefore, we are also discussing means to mitigate the observed shortcomings by integrating NVRAM appropriately into the memory hierarchy of future robust persistent systems. KW - NVRAM KW - Operating Systems KW - Energy Y1 - 2023 SN - 978-3-031-42784-8 U6 - https://doi.org/10.1007/978-3-031-42785-5_11 SP - 153 EP - 167 PB - Springer-Verlag ER -