Latency is awful (> 500µs) because RX coalescing is not disabled on rio.

Like in previous commit should not be changing compared to 39a77e3b, but
it was not checked.

Compared to 0ed7b1fc there should not be a difference (checked only on
serial cases with manually ediging 20180221-deco-noturbo-noz.txt-fix to
use updated output format for wczblk1-8 dataset):

$ benchstat -split node,cluster,dataset 20180221-deco-noturbo-noz.txt-fix 20180305-deco-noturbo-c.txt
name                                      old pystone/s    new pystone/s    delta
node:deco
pystone                                         221k ± 0%        219k ± 3%     ~     (p=0.690 n=5+5)

name                                      old time/op      new time/op      delta
node:deco
sha1/py/1K                                    1.85µs ± 2%      1.84µs ± 1%     ~     (p=0.508 n=5+5)
sha1/go/1K                                    1.53µs ± 0%      1.53µs ± 0%     ~     (p=0.103 n=5+5)
sha1/py/4K                                    6.68µs ± 1%      6.69µs ± 0%     ~     (p=0.151 n=5+5)
sha1/go/4K                                    5.59µs ± 0%      5.59µs ± 0%     ~     (p=0.333 n=5+5)
sha1/py/2M                                    3.18ms ± 0%      3.18ms ± 0%     ~     (p=0.421 n=5+5)
sha1/go/2M                                    2.78ms ± 0%      2.78ms ± 0%     ~     (p=1.000 n=5+5)
unzlib/py/null-1K                             2.81µs ± 0%      2.91µs ± 3%   +3.49%  (p=0.008 n=5+5)
unzlib/go/null-1K                             2.86µs ± 0%      2.88µs ± 1%   +0.93%  (p=0.008 n=5+5)
unzlib/py/null-4K                             11.3µs ± 1%      11.4µs ± 2%   +0.89%  (p=0.040 n=5+5)
unzlib/go/null-4K                             11.3µs ± 0%      11.4µs ± 0%   +0.89%  (p=0.008 n=5+5)
unzlib/py/null-2M                             5.71ms ± 5%      5.66ms ± 3%     ~     (p=1.000 n=5+5)
unzlib/go/null-2M                             4.79ms ± 0%      4.79ms ± 0%     ~     (p=0.095 n=5+5)
unzlib/py/prod1-avg                           5.02µs ± 1%      5.06µs ± 0%     ~     (p=0.057 n=4+4)
unzlib/go/prod1-avg                           5.27µs ± 1%      5.33µs ± 1%     ~     (p=0.087 n=5+5)
unzlib/py/prod1-max                            512µs ± 2%       438µs ± 5%  -14.45%  (p=0.008 n=5+5)
unzlib/go/prod1-max                            336µs ± 0%       352µs ± 4%   +4.67%  (p=0.008 n=5+5)
disk/randread/direct/4K-min                    105µs ± 1%       105µs ± 0%     ~     (p=1.000 n=5+5)
disk/randread/direct/4K-avg                    144µs ± 0%       142µs ± 0%   -1.54%  (p=0.008 n=5+5)
disk/randread/direct/2M-min                   5.48ms ± 3%      5.34ms ± 3%     ~     (p=0.135 n=5+5)
disk/randread/direct/2M-avg                   6.13ms ± 1%      6.04ms ± 2%     ~     (p=0.056 n=5+5)
disk/randread/pagecache/4K-min                 570ns ± 1%       583ns ± 1%   +2.28%  (p=0.008 n=5+5)
disk/randread/pagecache/4K-avg                 975ns ± 0%      1003ns ± 1%   +2.91%  (p=0.008 n=5+5)
disk/randread/pagecache/2M-min                 195µs ± 4%       197µs ± 4%     ~     (p=0.690 n=5+5)
disk/randread/pagecache/2M-avg                 214µs ± 0%       220µs ± 1%   +2.80%  (p=0.008 n=5+5)

name                                      old time/object  new time/object  delta
cluster:deco dataset:wczblk1-8
fs1-zhash.py                                  20.3µs ± 1%      20.2µs ± 1%     ~     (p=0.444 n=5+4)
fs1-zhash.go                                  3.20µs ± 0%      3.20µs ± 0%     ~     (all equal)
fs1-zhash.go+prefetch128                      4.16µs ± 4%      4.14µs ± 6%     ~     (p=0.952 n=5+5)
zeo/py/fs1-zhash.py                            375µs ± 4%       379µs ± 3%     ~     (p=0.690 n=5+5)
neo/py/sqlite-zhash.py                         355µs ± 6%       362µs ± 6%     ~     (p=0.421 n=5+5)
neo/py/sqlite-zhash.go                         156µs ± 2%       158µs ± 1%     ~     (p=0.151 n=5+5)
neo/py/sqlite-zhash.go+prefetch128             134µs ± 2%       135µs ± 1%     ~     (p=0.421 n=5+5)
neo/py(!log)/sqlite-zhash.py                   326µs ± 3%       335µs ± 4%     ~     (p=0.381 n=5+5)
neo/py(!log)/sqlite-zhash.go                   143µs ± 3%       145µs ± 2%     ~     (p=0.508 n=5+5)
neo/py(!log)/sqlite-zhash.go+prefetch128       119µs ± 2%       118µs ± 1%     ~     (p=0.421 n=5+5)
neo/py/sql-zhash.py                            466µs ±45%       392µs ± 5%     ~     (p=0.111 n=5+4)
neo/py/sql-zhash.go                            201µs ± 2%       197µs ± 1%   -1.63%  (p=0.008 n=5+5)
neo/py/sql-zhash.go+prefetch128                184µs ± 2%       180µs ± 2%   -1.96%  (p=0.032 n=5+5)
neo/py(!log)/sql-zhash.py                      375µs ± 2%       454µs ±61%     ~     (p=0.286 n=4+5)
neo/py(!log)/sql-zhash.go                      182µs ± 2%       183µs ± 1%     ~     (p=0.802 n=5+5)
neo/py(!log)/sql-zhash.go+prefetch128          164µs ± 1%       164µs ± 2%     ~     (p=0.881 n=5+5)
neo/go/fs1-zhash.py                            226µs ± 1%       227µs ± 2%     ~     (p=0.397 n=5+5)
neo/go/fs1-zhash.go                           56.8µs ± 1%      56.9µs ± 1%     ~     (p=0.889 n=5+5)
neo/go/fs1-zhash.go+prefetch128               24.8µs ± 3%      24.7µs ± 2%     ~     (p=0.651 n=5+5)
neo/go/sqlite-zhash.py                         264µs ± 4%       269µs ± 1%     ~     (p=0.548 n=5+5)
neo/go/sqlite-zhash.go                        93.5µs ± 0%      92.7µs ± 0%   -0.83%  (p=0.008 n=5+5)
neo/go/sqlite-zhash.go+prefetch128            39.3µs ± 4%      39.8µs ± 8%     ~     (p=0.952 n=5+5)

( not sure what it was for unzlib/py/prod1-max - probaby some background process
  was also running last time at that test )

This should make inter-host or inter-cluster comparisions of benchmark more straightforward.

Cstates are not disabled.
First dataset graphed here:

https://lab.nexedi.com/kirr/misc/raw/526e5ca/t/zwrk-z600-htoff.png

Cstates are not disabled.
First dataset grpahed here:

https://lab.nexedi.com/kirr/misc/raw/4a8fedc/t/zwrk-z6001.png

Handy for misconfigured systems like fqdn=z6001.ivan.nexedi.com,
hostname=z6001-COMP-2784.

very draft; work in progress.

Similarly to wrk on HTTP.

Rationale: simulating multiple clients is:

1. noisy - the timings from run to run are changing sometimes up to 50%
2. with significant additional overhead - there are constant OS-level
   process switches in between client processes and this prevents to
   actually create the load.
3. the above load from "2" actually takes resources from the server in
   localhost case.

So let's switch to simlating many requests in lightweight way similarly
to how it is done in wrk - in one process and not so many threads (it
can be just 1) with many connections opened to server and epolly way to
load it with Go providing epoll-goroutine matching.

They are the same in size.

`proto.PktHeaderLen + packed.Ntoh32(pkth.MsgLen)` could wrap int32 if
sent pkth.MsgLen is big.

For the reference on deco (performance, frequence not fixed):

	name                           time/object
	deco/fs1/zhash.py              15.8µs ± 2%
	deco/fs1/zhash.py-P16           116µs ±12%
	deco/fs1/zhash.go              2.60µs ± 0%
	deco/fs1/zhash.go+prefetch128  3.70µs ±11%
	deco/fs1/zhash.go-P16          13.4µs ±43%
	deco/zeo/zhash.py               316µs ± 7%
	deco/zeo/zhash.py-P16          2.68ms ± 7%
	deco/zeo/zhash.go               111µs ± 2%
	deco/zeo/zhash.go+prefetch128  57.7µs ± 2%
	deco/zeo/zhash.go-P16          1.23ms ± 5%