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ROCKPro64
  • FrankMF

    Dran denken, wir haben hier ein sehr frühes Modell auf dem Tisch. Hier ein paar Info's, die ich nicht vergessen möchte, deswegen schreibe ich das hier auf. 🙂

    Probleme

    • (16:02:35) tllim: 1. Lacking POWER LED. This is miscommunication between engineers and layout engineer drop this LED. This will put back on netx batch
    • (16:03:54) tllim: 2. There is a small yellow tape near LCD DSI connector. This prevent the LCD flat ribbon cable touch the surronding resistor and caught short circuit. This will improve on nex batch.
    • (16:04:24) tllim: 3. There is no RECOVERY button staff. Not sure whetehr we will staff on next batch
    • (16:08:32) tllim: the othe rtwo LED also a bit bright, we will dim down on next batch

    Boot

    Zur Zeit unklar, testen!!

    • (16:22:52) lukasz: tllim: but wont the SD boot Android image just work from eMMC with dd ?
    • (16:24:30) tllim: @lukasz, for Allwinner yes, for ROCKChip no

    Recovery-Button nötig?

    • (16:47:26) frankm: From forum "When used properly, it puts the board into Loader Mode, which is a special mode in the bootloader which allows data to be written/read directly from the eMMC chip, over a USB cable to a computer." I think i don't need this. Will see...
    • (16:50:48) tllim: the ROCKPro64 and ROCK64 using same method

    .... wird ständig erweitert

    Quelle: IRC-Chat

    Im Fediverse -> @FrankM@nrw.social

    1. NanoPi R5S
    2. Quartz64 Model B, 4GB RAM
    3. Quartz64 Model A, 4GB RAM
    4. RockPro64 v2.1
    0

  • FrankMF

    ROCKPro64 - PCIe Probleme

    Hardware
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    FrankMF

    Danke für dein Feedback.

  • FrankMF

    ROCKPro64 - Anpassen resize_rootfs.sh

    Angeheftet ROCKPro64
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    FrankMF

    Seit Release 0.10.10 ist das automatische Vergrößern der Root Partition mit drin 🙂

    0.10.10: Support automated resize when booting from nvme

    Einfach das Image auf die NVMe SSD schreiben, ab in den ROCKPro64 und fertig! Nach dem Booten wird die Partition dann automatisch auf die maximal mögliche Größe erweitert.

    Kamil hat das Script auch ein wenig angepasst.

    case $dev in /dev/mmcblk?p?) DISK=${dev:0:12} PART=${dev:13} NAME="sd/emmc" ;; /dev/sd??) DISK=${dev:0:8} PART=${dev:8} NAME="hdd/ssd" ;; /dev/nvme?n?p?) DISK=${dev:0:12} PART=${dev:13} NAME="pcie/nvme" ;;

    Das Resultat bei einer Samsung 979 EVO mit 500GB Speicher

    rock64@rockpro64:~$ df -h Filesystem Size Used Avail Use% Mounted on udev 918M 0 918M 0% /dev tmpfs 192M 5.2M 187M 3% /run /dev/nvme0n1p4 459G 1.2G 439G 1% / tmpfs 957M 0 957M 0% /dev/shm tmpfs 5.0M 4.0K 5.0M 1% /run/lock tmpfs 957M 0 957M 0% /sys/fs/cgroup /dev/nvme0n1p3 229M 44M 169M 21% /boot /dev/nvme0n1p2 12M 0 12M 0% /boot/efi tmpfs 192M 0 192M 0% /run/user/1000

    Perfekt. Danke Kamil!

  • FrankMF

    ROCKPro64 - Docker Image

    ROCKPro64
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    FrankMF

    Das ganze hat einen furchtbar schönen Vorteil. Mal angenommen, ich habe ein NodeBB-Forum in einem Container laufen. Will das Ding updaten und das crasht einfach mal so. Egal, Container stoppen, Container starten und alles läuft wieder.

    Mit dem Commit sichere ich mir dann den Zustand nachdem ich weiß, das alles klappt 🙂

  • FrankMF

    Infrarot Empfänger

    Hardware
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    Niemand hat geantwortet
  • FrankMF

    Images 0.7.x

    Images
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    FrankMF

    Ayufan Images nutzen

    user: rock64 pw: rock64
  • FrankMF

    Image 0.6.57 - NVMe paar Notizen

    Verschoben Archiv
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    Niemand hat geantwortet
  • FrankMF

    Wichtig!

    Verschoben Archiv
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  • FrankMF

    stretch-minimal-rockpro64

    Verschoben Linux
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    FrankMF

    Mal ein Test was der Speicher so kann.

    rock64@rockpro64:~/tinymembench$ ./tinymembench tinymembench v0.4.9 (simple benchmark for memory throughput and latency) ========================================================================== == Memory bandwidth tests == == == == Note 1: 1MB = 1000000 bytes == == Note 2: Results for 'copy' tests show how many bytes can be == == copied per second (adding together read and writen == == bytes would have provided twice higher numbers) == == Note 3: 2-pass copy means that we are using a small temporary buffer == == to first fetch data into it, and only then write it to the == == destination (source -> L1 cache, L1 cache -> destination) == == Note 4: If sample standard deviation exceeds 0.1%, it is shown in == == brackets == ========================================================================== C copy backwards : 2812.7 MB/s C copy backwards (32 byte blocks) : 2811.9 MB/s C copy backwards (64 byte blocks) : 2632.8 MB/s C copy : 2667.2 MB/s C copy prefetched (32 bytes step) : 2633.5 MB/s C copy prefetched (64 bytes step) : 2640.8 MB/s C 2-pass copy : 2509.8 MB/s C 2-pass copy prefetched (32 bytes step) : 2431.6 MB/s C 2-pass copy prefetched (64 bytes step) : 2424.1 MB/s C fill : 4887.7 MB/s (0.5%) C fill (shuffle within 16 byte blocks) : 4883.0 MB/s C fill (shuffle within 32 byte blocks) : 4889.3 MB/s C fill (shuffle within 64 byte blocks) : 4889.2 MB/s --- standard memcpy : 2807.3 MB/s standard memset : 4890.4 MB/s (0.3%) --- NEON LDP/STP copy : 2803.7 MB/s NEON LDP/STP copy pldl2strm (32 bytes step) : 2802.1 MB/s NEON LDP/STP copy pldl2strm (64 bytes step) : 2800.7 MB/s NEON LDP/STP copy pldl1keep (32 bytes step) : 2745.5 MB/s NEON LDP/STP copy pldl1keep (64 bytes step) : 2745.8 MB/s NEON LD1/ST1 copy : 2801.9 MB/s NEON STP fill : 4888.9 MB/s (0.3%) NEON STNP fill : 4850.1 MB/s ARM LDP/STP copy : 2803.8 MB/s ARM STP fill : 4893.0 MB/s (0.5%) ARM STNP fill : 4851.7 MB/s ========================================================================== == Framebuffer read tests. == == == == Many ARM devices use a part of the system memory as the framebuffer, == == typically mapped as uncached but with write-combining enabled. == == Writes to such framebuffers are quite fast, but reads are much == == slower and very sensitive to the alignment and the selection of == == CPU instructions which are used for accessing memory. == == == == Many x86 systems allocate the framebuffer in the GPU memory, == == accessible for the CPU via a relatively slow PCI-E bus. Moreover, == == PCI-E is asymmetric and handles reads a lot worse than writes. == == == == If uncached framebuffer reads are reasonably fast (at least 100 MB/s == == or preferably >300 MB/s), then using the shadow framebuffer layer == == is not necessary in Xorg DDX drivers, resulting in a nice overall == == performance improvement. For example, the xf86-video-fbturbo DDX == == uses this trick. == ========================================================================== NEON LDP/STP copy (from framebuffer) : 602.5 MB/s NEON LDP/STP 2-pass copy (from framebuffer) : 551.6 MB/s NEON LD1/ST1 copy (from framebuffer) : 667.1 MB/s NEON LD1/ST1 2-pass copy (from framebuffer) : 605.6 MB/s ARM LDP/STP copy (from framebuffer) : 445.3 MB/s ARM LDP/STP 2-pass copy (from framebuffer) : 428.8 MB/s ========================================================================== == Memory latency test == == == == Average time is measured for random memory accesses in the buffers == == of different sizes. The larger is the buffer, the more significant == == are relative contributions of TLB, L1/L2 cache misses and SDRAM == == accesses. For extremely large buffer sizes we are expecting to see == == page table walk with several requests to SDRAM for almost every == == memory access (though 64MiB is not nearly large enough to experience == == this effect to its fullest). == == == == Note 1: All the numbers are representing extra time, which needs to == == be added to L1 cache latency. The cycle timings for L1 cache == == latency can be usually found in the processor documentation. == == Note 2: Dual random read means that we are simultaneously performing == == two independent memory accesses at a time. In the case if == == the memory subsystem can't handle multiple outstanding == == requests, dual random read has the same timings as two == == single reads performed one after another. == ========================================================================== block size : single random read / dual random read 1024 : 0.0 ns / 0.0 ns 2048 : 0.0 ns / 0.0 ns 4096 : 0.0 ns / 0.0 ns 8192 : 0.0 ns / 0.0 ns 16384 : 0.0 ns / 0.0 ns 32768 : 0.0 ns / 0.0 ns 65536 : 4.5 ns / 7.2 ns 131072 : 6.8 ns / 9.7 ns 262144 : 9.8 ns / 12.8 ns 524288 : 11.4 ns / 14.7 ns 1048576 : 16.0 ns / 22.6 ns 2097152 : 114.0 ns / 175.3 ns 4194304 : 161.7 ns / 219.9 ns 8388608 : 190.7 ns / 241.5 ns 16777216 : 205.3 ns / 250.5 ns 33554432 : 212.9 ns / 255.5 ns 67108864 : 222.3 ns / 271.1 ns