Sunday, December 28, 2014

Random bit slogging notes through some performance issues

OK so I've been spending time over the last year occasionally tweaking performance improvements on a multi-core application. This can be a huge timesink. What works best for me is to gather data, try some obvious changes, then get away from the computer and stew on the problem for a bit.

Obviously for the multi-core world, the one goal here is to support scaling as more cores are thrown at a problem. That has meant that performance tweaking requires:

  1.  Avoid locking of any kind, otherwise performance won't scale as more cores are thrown into the stewpot
  2. Minimize cache misses or hot cache reloads, increase cache-coherency
  3. Old fashion instruction tweaking (i.e. reducing instruction costs). 


The above are listed in their approximate order of importance.

I highly recommend watching the videos listed on this posting as they point out that #2 is often more important that #3 in performance tweaking.

Locking can often be avoided by using userspace RCU, or similar tricks.

 Other great resources:

  Performance bit twiddling
  Awesome parallel programming reference
  Detailed Assembly/C/C++ x86 Optimizations

 Obviously one of the great tools is just running perf top, a great deal of insight can be gained just by looking at the results the command below produces:

 sudo /usr/bin/perf top -p <pid>

Pretty much any kind of hardware/software supported events can be profiled, but by default counts are samples per function.

There are a ton of tools out there to help evaluate performance--just make sure that you understand how the data is being captured and presented otherwise you risk getting sucked down the rabbit-hole of false assumptions...

Saturday, May 31, 2014

Awesome! videos on modern CPU performance optimzations

Wow--I finally ended up watching these after sitting on these links for a while. They are just what the doctor ordered if you have questions about low-level source code performance optimizations in modern processors.

Questions on SSE/AVX, pipelining, cache fetch times, memory access, locality of memory access etc. are addressed in these talks. What is fantastic (and repeatedly driven home) is that performance is not necessarily about reducing overall CPU instructions, but reducing memory cache access times (and how to do this).


http://channel9.msdn.com/Events/Build/2014/4-587
http://channel9.msdn.com/Events/Build/2013/4-329


By the way--you can disregard the Microsoft provenance--most of the discussion/techniques equally apply to any modern x86 compiler.

Jo bob says watch'em!

Saturday, April 19, 2014

Computing changed bits in a range of values

So, there's a reason to do this, other than just wasting CPU cycles. I need to take in a range of 2 byte values and compute a mask on all changed bits between the lower and upper value of this range.

The underlying reason is this allows for a quick match against network packet port ranges. So below I have a little test app that computes the changed bits given an arbitrary start stop value.

This ends up producing the following output:

slioch@slioch-All-Series:~/vyatta$ ./range 32076 62199
xxxxxxxxxxxxxxxx
slioch@slioch-All-Series:~/vyatta$ ./range 52076 62199
xxxxxxxxxxxxxx--
slioch@slioch-All-Series:~/vyatta$ ./range 62076 62199
xxxxxxxx--------
slioch@slioch-All-Series:~/vyatta$ ./range 1 2
xx--------------
slioch@slioch-All-Series:~/vyatta$ ./range 1 3
xx--------------
slioch@slioch-All-Series:~/vyatta$ ./range 1 4
xxx-------------
slioch@slioch-All-Series:~/vyatta$ ./range 1 1024
xxxxxxxxxxx-----
slioch@slioch-All-Series:~/vyatta$ ./range 1 1023
xxxxxxxxxx------

The "x" represents a bit position that changes, while the "-" represents a position that doesn't change. This ends up allowing for a quick comparison against a start-stop (or range) of values. Note that the representation above has the LSB (least signficant bit) on the left.



#include <string.h>
#include <strings.h>
#include <stdio.h>
#include <stdlib.h>
#include <stdint.h>
#include <stdbool.h>
#include <math.h>


#define NUM_BITS_FOUR_BYTES 32

static void
byte_to_binary(unsigned int *x, int num)
{
  unsigned int mask = 0x01;
  int z;
  for (z = 0; z < num; ++z) {
    printf(((*x & mask) == mask) ? "x" : "-");
    mask = mask << 1;
    if (z % NUM_BITS_FOUR_BYTES == (NUM_BITS_FOUR_BYTES - 1)) {
      mask = 0x01;
      x++;
    }
  }
}


/* 
   Calculate fixed/wildcards in ranges of numbers
   for binary representations.
*/
int main(int argc, char **argv)
{
  if (argc < 3) {
    printf("need start and end\n");
    return;  
  }

  long int start = strtoul(argv[1], NULL, 10);
  long int end = strtoul(argv[2], NULL, 10);
  if (end < start) {
    printf("Error in range\n");
    exit(0);
  }

  //now let's see compute all the bits changed in this range
  unsigned int i, accum = 0;
  accum = start ^ end;
  int loc = 32 - __builtin_clz(accum);
  for (i = 0; i < loc; ++i)
    accum |= 0x1 << i;
  byte_to_binary(&accum, 16);
  printf("\n");


}

Wednesday, April 16, 2014

A little fun with L1/L2/L3 cache RAM fetch speed

I know it has been a while since I've posted. And that's pretty much a reflection of being super busy as well as not having a little nugget at the tips of my fingers to post.

So I'm back.

I wrote the little program below to test the cost of fetching values from lookup tables of various sizes. Presumably this would show up in performance differences once the lookup table exceeds the size of the various cache it could easily fit within.

So, my little experiment went as followed:

Saturday, December 14, 2013

Mad Cyclist on Hwy-101

OK, on 12/10 I saw something I would never expect to see on a freeway.

Leading into San Francisco from Silicon Valley (well the Peninsula actually) there was this crazy dude cycling and passing traffic on 101.

OK--it was stop and go kind of speeds, but what the heck! I've got to give this man credit for going for broke when even the most insane of us would say no thanks.








And here's one a little further on--notice that he's actually passing the slow lane:

Monday, August 13, 2012

Cycling from SF to Yosemite

OK, my oldest said I was mad, and she's right. But last week I ended up cycling for 2 days from SF up to Yosemite. It was one of those things that seemed doable knowing what it's like to ride longer distances, but still seemed daunting given the lack of ride support (disclaimer: I've done two double centuries but this was way different).

The hardest part of the trip was the climbing (no kidding), and the heat (turns out to have been over 100 on each day). As my friend texted me during the ordeal: loads of water, electrolytes, food.

The heat and hills combined to double team my sweat glands--you could almost just watch sweat pouring down my arms later in the day.

Monday, June 4, 2012

Getting my VM to talk to the office

Admittedly, without putting too much thought into this I expected to be able to configure a VM located on my home machine to connect to a work computer through an already established VPN tunnel without too much hassle.

Well, I ran into a couple bumps getting this system up and running. To be specific I needed sessions to be initiated from both directions (from work to the local VM, and from the local VM to work).

So, basically, the configuration looked like this: There's a VPN tunnel established between work and my home computer. On the home computer there's a VM that needs to reach a system at work, and the system at work needs to reach the VM at home.

Or similar to the illustration below:



So, I guess why I found this interesting is that it wasn't as simple as I initially thought. First stab was to set up the VM and bridging the network on the VM to the host systems interface. But the bridged VM ended up getting the dhcp advertised default route from my home router and therefore packets would not travel through the VPN tunnel. The routing table on the VM looks like (where 10.0.1.1 is the IP of my home router):

root@debian:~# ip route
10.0.1.0/24 dev eth0  proto kernel  scope link  src 10.0.1.48 
default via 10.0.1.1 dev eth0