kaigai

3 ms·

1. 1.▲
   NVME and GPU accelerates I/O major SQL workloads(slideshare.net)

   9 points by kaigai 8y ago|0 comments
2. 2.▲
   PG-Strom: GPU&SSD Accelerates PostgreSQL(slideshare.net)

   2 points by kaigai 9y ago|0 comments
3. 3.▲
   by kaigai 9y ago

   Yes, Tesla or Quadro are required. In addition, Tesla P40/P100 are recommended due to size of i/o mappable region.
4. 4.▲
   by kaigai 9y ago

   Early version of PG-Strom didn't plan SSD2GPU Direct SQL Execution, however, some users concerns didn't concern about CPU performance only but I/O also. So, I began to implement the feature to accelerate I/O also. Its de
5. 5.▲
   by kaigai 10y ago

   RAM-to-GPU is always faster than SSD-to-GPU. It is a solution to help a situation when data size does not fit RAM size (or when user has less budget to purchase enough RAM. In fact, we can purchase Intel SSD 750 (400GB) with 300USD).
6. 6.▲
   by kaigai 10y ago

   My headache is painful. It might be called "SSD-to-GPU P2P DMA".
7. 7.▲
   by kaigai 10y ago

   Its kernel module provides some special APIs. The userspase application (PostgreSQL) is enhanced to use them. From the point of user view, SQL still has been the interface to access the data.
8. 8.▲
   by kaigai 10y ago

   NVME-SSD performs as DMAC in this case. All GPU doing is mapping its own device memory on the PCI BAR area.