[PATCH 0/3] nvmet-rdma: SRQ per completion vector

[Max Gurtovoy]

This is a new feature for NVMEoF RDMA target, that is intended to save resource allocation
(by sharing them) and utilize the locality (completions and memory) to get the best
performance with Shared Receive Queues (SRQs). We'll create a SRQ per completion vector
(and not per device) and assosiate each created QP/CQ with an appropriate SRQ. This will
also reduce the lock contention on the single SRQ per device (today's solution).

My testing environment included 4 initiators (CX5, CX5, CX4, CX3) that were connected to 4
subsystems (1 ns per sub) throw 2 ports (each initiator connected to unique subsystem
backed in a different bull_blk device) using a switch to the NVMEoF target (CX5).
I used RoCE link layer.

Configuration:
 - Irqbalancer stopped on each server
 - set_irq_affinity.sh on each interface
 - 2 initiators run traffic throw port 1
 - 2 initiators run traffic throw port 2
 - On initiator set register_always=N
 - Fio with 12 jobs, iodepth 128

Memory consumption calculation for recv buffers (target):
 - Multiple SRQ: SRQ_size * comp_num * ib_devs_num * inline_buffer_size
 - Single SRQ: SRQ_size * 1 * ib_devs_num * inline_buffer_size
 - MQ: RQ_size * CPU_num * ctrl_num * inline_buffer_size

Cases:
 1. Multiple SRQ with 1024 entries:
    - Mem = 1024 * 24 * 2 * 4k = 192MiB (Constant number - not depend on initiators number)
 2. Multiple SRQ with 256 entries:
    - Mem = 256 * 24 * 2 * 4k = 48MiB (Constant number - not depend on initiators number)
 3. MQ:
    - Mem = 256 * 24 * 8 * 4k = 192MiB (Mem grows for every new created ctrl)
 4. Single SRQ (current SRQ implementation):
    - Mem = 4096 * 1 * 2 * 4k = 32MiB (Constant number - not depend on initiators number)

results:

BS    1.read (target CPU)   2.read (target CPU)    3.read (target CPU)   4.read (target CPU)
---  --------------------- --------------------- --------------------- ----------------------
1k     5.88M (80%)            5.45M (72%)            6.77M (91%)          2.2M (72%)

2k     3.56M (65%)            3.45M (59%)            3.72M (64%)          2.12M (59%)

4k     1.8M (33%)             1.87M (32%)            1.88M (32%)          1.59M (34%)

BS    1.write (target CPU)   2.write (target CPU) 3.write (target CPU)   4.write (target CPU)
---  --------------------- --------------------- --------------------- ----------------------
1k     5.42M (63%)            5.14M (55%)            7.75M (82%)          2.14M (74%)

2k     4.15M (56%)            4.14M (51%)            4.16M (52%)          2.08M (73%)

4k     2.17M (28%)            2.17M (27%)            2.16M (28%)          1.62M (24%)


We can see the perf improvement between Case 2 and Case 4 (same order of resource).
We can see the benefit in resource consumption (mem and CPU) with a small perf loss
between cases 2 and 3.
There is still an open question between the perf differance for 1k between Case 1 and
Case 3, but I guess we can investigate and improve it incrementaly.

Thanks to Idan Burstein and Oren Duer for suggesting this nice feature.

Max Gurtovoy (3):
  nvmet-rdma: use srq pointer in rdma_cmd
  nvmet-rdma: use SRQ per completion vector
  nvmet-rdma: add module parameter for SRQ size

 drivers/nvme/target/rdma.c |  156 ++++++++++++++++++++++++++++++++++----------
 1 files changed, 121 insertions(+), 35 deletions(-)