Whole-Drive Fill

This test starts with a freshly-erased drive and fills it with 128kB sequential writes at queue depth 32, recording the write speed for each 1GB segment. This test is not representative of any ordinary client/consumer usage pattern, but it does allow us to observe transitions in the drive's behavior as it fills up. This can allow us to estimate the size of any SLC write cache, and get a sense for how much performance remains on the rare occasions where real-world usage keeps writing data after filling the cache.

The 1TB Toshiba/Kioxia BG4 appears to have a 32GB SLC write cache that's far slower than what high-end NVMe SSDs provide, but still well above 1GB/s. After the cache is full, write speed is cut in half but remains steady. As expected, the Host Memory Buffer feature has minimal impact on this purely sequential workload.

Sustained 128kB Sequential Write (Power Efficiency)
Average Throughput for last 16 GB Overall Average Throughput

After the SLC cache is full, the BG4's sequential write speed remains comfortably out of reach of SATA SSDs, but it doesn't come close to what high-end NVMe SSDs (including Toshiba's own XG series) provide. The BG3-based Toshiba RC100's write speed seriously tanked when the drive got close to full, but the 1TB BG4 doesn't suffer from that second major performance drop.

Working Set Size

Most mainstream SSDs have enough DRAM to store the entire mapping table that translates logical block addresses into physical flash memory addresses. DRAMless drives only have small buffers to cache a portion of this mapping information. Some NVMe SSDs (the BG4 included) support the Host Memory Buffer feature and can borrow a piece of the host system's DRAM for this cache rather needing lots of on-controller memory.

When accessing a logical block whose mapping is not cached, the drive needs to read the mapping from the full table stored on the flash memory before it can read the user data stored at that logical block. This adds extra latency to read operations and in the worst case may double random read latency.

We can see the effects of the size of any mapping buffer by performing random reads from different sized portions of the drive. When performing random reads from a small slice of the drive, we expect the mappings to all fit in the cache, and when performing random reads from the entire drive, we expect mostly cache misses.

When performing this test on mainstream drives with a full-sized DRAM cache, we expect performance to be generally constant regardless of the working set size, or for performance to drop only slightly as the working set size increases.

HMB has no effect on the BG4's random read performance for working set sizes larger than about 32GB. For smaller working sets, HMB provides a big performance boost. Oddly, the performance of the BG4 gets better through the early part of this test, until the working set size gets too big. With HMB off, the BG4 seems to have enough on-controller memory to handle a 1GB working set. As compared with the older BG3-based Toshiba RC100, the BG4 seems to use a slightly larger HMB, and it gets a bigger performance boost from that extra buffer.

Introduction AnandTech Storage Bench - The Destroyer
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  • cschlise - Thursday, October 31, 2019 - link

    Bought a Dell Inspiron 15 with an AMD processor recently. Dell claimed the laptop was "fixed form factor, but after removing some screws and gently prying the thing open, a wealth of upgrade options were presented. This system had one of the 2230's installed ... sized at 256GB. The board had space for a full 2280 as well as another 2.5mm drive. I installed a 512GB 2280 NVMe and 1GB 2.5mm SSD, and doubled the RAM ... for a fraction of the price Dell would have sold it to me in more expensive configurations.

    Bottom line ... if manufacturers are putting 2230's in consumer laptops, they aren't doing the consumer any favors ... also, if you're buying a "fixed form factor" laptop to save a few $$$, with some careful and steady hands, you'll likely find you can upgrade the sucker significantly.
    Reply

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