May 2010 archive

06/01/10

Here are a few more times, this time with all bin and data files on the /tmp/ folder with times calculated from /usr/bin/time.

Using commit 5a82392eeeb5653d1b75b7a8dd7ccdd499605cfa and saligner, with the 125000 readset (real time)

Type k max_results Unmapped (+1662 invalid) Search Time (s) Avg time/read (s)
Exact - 1 17732 4.727 0.000037816
Exact - 10 17732 5.01 0.0004008
Mismatch 2 1 5466 8.251 0.000066008
Mismatch 2 10 5466 9.438 0.000075504

Using BWA with flags -l 99 -k 2 outputting to SAM:

Type k max_results Unmapped Search Time (s) Avg time/read (s)
Mismatch, I guess 2? ? ? 2.832 0.000022656

Using readaligner with flags -k 2 --sam --fastq:

Type k max_results Unmapped Search Time (s) Avg time/read (s)
Mismatch 2 1 ? 6.662 0.000053296

Bowtie with version info:

64-bit
Built on sycamore.umiacs.umd.edu
Sat Apr 24 15:56:29 EDT 2010
Compiler: gcc version 4.1.2 20080704 (Red Hat 4.1.2-46)
Options: -O3 -m64  -Wl,--hash-style=both
Sizeof {int, long, long long, void*, size_t, off_t}: {4, 8, 8, 8, 8, 8}

Mode Flags Mapped Unmapped Search Time (s) Average Search Time (s)
0-Mismatch -v 0 105606 19394 1.310 0.00001048
1-Mismatch -v 1 115631 9369 1.850 0.0000148
2/3-Mismatch -v 2 118356 6644 1.878 0.000015024
2/3 Mismatch -v 3 119430 5570 3.441 0.000027528
Seeded Quality -n 0 112317 12683 1.478 0.000011824
Seeded Quality -n 1 117659 7341 1.679 0.000013432
Seeded Quality -n 2 118356 6644 1.974 0.000015792
Seeded Quality -n 3 118330 6670 2.560 0.00002048

Also had a meeting with Chris today, where he clarified some of his previous communications. Our first priority should now be to compare Bowtie exact matching functions to saligner or readaligner exact matching. Daniel took on a job of writing a better locate function for exact matches. I will be looking for more areas to optimize and also fix some bugs and write a better saligner wrapper that actually takes in arguments. Also, since mismatches in cigars are recorded no differently from matches, both mismatch and exact can have their own defined cigar (e.g. 35M), instead of having to compare reads to references to generate our own cigar.

To do:

  • In Exact and MismatchMappers, just make a cigar on the fly instead of passing stuff to SamEntry.
  • More low level optimizations.
  • Make a better saligner wrapper.
  • Fix a bug in cigar generation (ticket 53df76)

06/02/10

I did a bunch of minor changes to the IO files to optimize them a little further. Most of the changes were just reserving space for strings/vectors beforehand, fixing a few unneeded lines, etc. I also looked into ticket 53df76 (buggy CIGAR output on indels), and found that it's not really a bug with the CIGAR generator. The bug actually comes from using the LocalAligner after a gap alignment to generate the "dashes" that the CIGAR generator needs. However, the behaviour for LocalAligner is unpredictable when used in this context; sometimes it will clip the start or end of the read and throw in mismatches instead of just inserting the gaps (which is actually what it's supposed to do, given it's local). So, there actually aren't bugs in either the CIGAR generator or the LocalAligner. Unfortunately, we can't really fix the bug given the current situation, because there's no other way to put dashes into the aligned ref/reads. The only solution is to either figure out how IndelQuery does its CIGAR generation or write our own IndelQuery (which we might just do anyway). Since the indel support is lower priority, I'm going to table this bug for later.

Another optimization I did today was make a convenience method in SamEntry to generate an entry representing an exact match (as per Chris' suggestion yesterday). Because exact matches are so predictable, it saves us having to generate the CIGAR, and a bunch of the tags. We also don't need to extract the original reference from the index, since it's not really needed. Mismatches should also be similar, since mismatches aren't represented differently from matches in CIGARs. However, we do have an MD:Z tag that supports mismatches (like BWA), but I'm not sure whether this is needed at all.

Finally, I added support for arguments in saligner, where we can specify reference, reads and output for convenience, so we don't have to recompile every time we need to use a different read file.

Anyways, I decided to run some tests on my newest changes using the 2622382 reads file just for completeness and for more accuracy, since I didn't do any tests on that file yesterday, either.

Under commit c6f55e33aa732c8952d1f56fa4c1fe6aa3875677, with the 2822382 reads file and Release build:

Type k max_results Unmapped (+20957 invalid) Search Time (s) Avg time/read (s)
Exact - 1 350717 86.634 0.000033036
Exact - 10 350717 95.99 0.000036604

And with Bowtie (same version info as above):

Mode Flags Mapped Unmapped Search Time (s) Average Search Time (s)
0-Mismatch -v 0 2250708 371674 27.341 0.000010426

To do:

  • Do some profiling again...I haven't done that in a while and there's been a lot of changes to the code.
  • Start reading up on FM index.

06/03/10

Worked on more optimizations, this time guided by Valgrind. From KCacheGrind, I found that about 10-15% of our cycles were being used up in IO, especially making/writing SAM entries. So I went in and did a few more minor optimizations, such as using ostringstream instead of stringstream. Preliminary results (tested on my machine) shows it runs something like 10% faster now.

Up until now, I've really only been testing exact matches with saligner over the 125,000 reads file. I was doing one final test on the 2M read file (to verify output and to do a preliminary speed test), I noticed a lot of disk activity after about 40k reads! I'm guessing this is what cache misses look like (it could just be it reading from the reads file, I'm not really sure on this, have to confirm), so I'm going to have to do some more profiling with Callgrind. Granted, my system doesn't have as much memory as skorpios, but this might be one of the areas we can improve on.

Other than that, I think it might be a good idea to start reading up on FM indexes, because I really can't do much else without knowing how the aligner works. So tomorrow, I might start on my reading (probably following in Daniel's footsteps).

To do:

  • Check if we're really getting lots of cache misses.
  • Start on my reading!

Update: Ran a cachegrind over 2M reads, and didn't get very many cache misses (something like <1%), so I guess it was actually reading from input? I'll have to check out the log a bit more tomorrow. On a side note, the profiling took about 2.5 hours with 2M reads on my machine (don't even know the time because the built-in timer went negative), so it's not a very practical thing to do...

06/04/10

I feel like I've done all the minor optimizations on the I/O classes at this point, and probably won't be improving speeds much. So I spent the day reading up on FM indexes using the same paper Daniel listed a while back. I now know how the BWT works and how count functions work on the index. I haven't really gotten through locate yet, but it shouldn't be too bad.

With my new-found knowledge, I took another look at the exact matching implementation in readaligner and now I feel like I get it a bit more. I tried to look up some papers on wavelet trees (I think that's what wv_tree stands for) and the rank functions, since that's pretty much the bottleneck but I couldn't really find much stuff on it (not that I tried that hard).

So for later:

  • Find some literature on wavelet trees and take a look at the rank function some more
  • Do some more reading...

06/07/10

Chris suggested finding the ratios between locating with 1 mismatch vs doing an exact locate for both bowtie and saligner. So here it is:

Run on skorpios with saligner commit 5f7f77021a321eab0019825bec36969209e707b6 and using the time command.

Aligner Exact time (s) 1-mismatch time (s) Mismatch:Exact ratio
saligner, max_results = 1 79.397 107.989 1.360
saligner, max_results = 10 86.937 127.223 1.46
bowtie (-v 0/1) 27.115 29.966 1.105
readaligner (-k 0/1) 68.646 87.841 1.280
Note: readaligner returns 1 max result, I believe.

Afternoon update: Well, I managed to shave another 5 or so seconds off saligner. Doing a brief benchmark, with same conditions as above: saligner, max_results = 1: 73.58s for exact alignment.

It's a lot closer to readaligner now. I ended up changing all the osstreams and ofstreams to sprintf and fprintf, which made it quite a bit faster. I'm debating whether I should change the reading code to cstdio as well, but it might get a bit more complicated, since I don't know the actual size of each line and the C input functions all require a char array buffer. Our saligner also does a bit more than readaligner. For example, our FASTQ file processing is much more robust and follows the FASTQ spec better.

Chris also mentioned that something else I can do is to replace the rank structure. He mentioned Daniel was looking at a 64-bit implementation, so that might be something to look at? I'll need to get more details later.

For tomorrow:

  • A few more minor optimizations.
  • Take a look at bowtie source code, maybe?

06/08/10

Decided to do one last benchmark with 32-bit bowtie instead of 64-bit bowtie, which might be a more accurate comparison, given that readaligner doesn't really take advantage of 64-bit registers (I don't think...). Anyways, here are the results:

Aligner Exact time (s) 1-mismatch time (s) Mismatch:Exact ratio
bowtie (-m32 compiled) (-v 0/1) 41.526 46.473 1.119

Also had a meeting with Daniel and Chris today (see Daniel's journal, June 8 entry for details).

After the meeting, I did a bit of tinkering with the FASTQ reader. After some discussion with Daniel, we decided it might be better to trade robustness for speed in the reader, as most FASTQ output these days are more standardized (for example, no wrap-around for sequence or quality strings). So by taking all those checks out, I was able to get another roughly 10-15% increase in speed. I also started doing some work on converting our C++-style strings to C-strings. I started with the FASTQ reader again, but it's going to end up being a huge change that'll effect almost all of our classes. At the same time, I think I should also start looking into using regular arrays instead of vectors where applicable.

To do:

  • Pretty much refactoring (converting C++ strings to C strings).

06/09/10

Experimented a bunch with char arrays vs C++ strings. I did a quick and dirty replacement of strings with char arrays in the FastqEntry and FastqFile classes, and then fixed all the compile errors that came with it, but there actually wasn't too big a difference. In fact, I couldn't really see a difference at all. Granted, I did do a pretty poor job of doing the replacement (just wanted results), so it might not have been as optimized as it could be, but it seems that changing over wouldn't make that much of a difference.

I also benchmarked my changes from yesterday (swapping out the Fastq read function). It seems saligner is now faster than readaligner (at least in exact matching). Anyways, here are the times:

Aligner Exact time (s) 1-mismatch time (s) Mismatch:Exact ratio
saligner, max_results=1 64.461 94.434 1.465

The mismatch:exact ratio is still a bit off from bowtie's and readaligner's, but that might also be because mismatches still unecessarily go through the CIGAR generator (which I should fix sometime).

There was quite a bit of discussion on some points discussed yesterday, detailed in Daniel's journal, June 10 entry.

Finally, spent the rest of my time conerting strings to char arrays, though I'm still not sure if it's doing anything. Regardless, it should be more future-proof.

There's also one point I'd like to look at in the ExactMapper, though I doubt it has too much of a performance impact. When the total results of an alignment is greater than max_results, it seems we do a Locate on all the results, not only max_results. This should be a pretty easy fix.

To do:

  • More converting
  • Look at fix mentioned above.

06/10/10

Bahhhhh spent all day converting strings to c-strings. I've decided to convert only things having to do with sequences and qualities to c-strings. To make it easier to see, I put up some typedefs:
#define NGSA_READLEN 128
typedef char SequenceBase;
typedef char QualityBase;
typedef SequenceBase SequenceString[NGSA_READLEN+1];
typedef QualityBase QualityString[NGSA_READLEN+1];
I'm about 75% done, I think. I finished the I/O classes and the drivers, as well as half the mappers. Just need to convert the rest, and then start on the pair-end matcher, and some other stuff. Also optimized some of the lower-level algorithms (such as ngsa::ReverseComplement) to make better use of char arrays. I hope the end result is a speed up, or at least doesn't result in a speed-down! Some parts still aren't very efficient, because there are other methods that still take in C++ strings, where I end up having to do a conversion (which takes O(n) time). I think strlen is also O(n), versus O(1) on std::string::size (I think that's what these are), since std::string can just update the size every time the string grows/shrinks, so I should make sure to avoid using strlen too often.

To do:

  • More conversion...
Edit | Attach | Watch | Print version | History: r73 | r40 < r39 < r38 < r37 | Backlinks | Raw View | Raw edit | More topic actions...
Topic revision: r38 - 2010-06-11 - jayzhang
 
  • Edit
  • Attach
This site is powered by the TWiki collaboration platform Powered by PerlCopyright © 2008-2025 by the contributing authors. All material on this collaboration platform is the property of the contributing authors.
Ideas, requests, problems regarding TWiki? Send feedback