Submitted to JJIAM

 I have just submitted an article to JJIAM.

The review only takes 9days, just as a statistics though, and indeed, the process is very quick.
How do they find reviewers in such a short period?

Done an invited talk at ASA 2023 Spring meeting

To keep proof.

 

My algorithm, SUP-GMRESR, has been merged into the main branch of FrontISTR

Finally, my algorithm about a Krylov-type linear equation solver, has been merged into the main branch of FrontISTR

The algorithm can be found here.

A good Christmas gift!

Invited talk

 Have just given an invited talk at the 4th FrontISTR symposium about my algorithm.

Probably my algorithm will be merged into it!

https://www.frontistr.com/event/?id=61

Published?

 https://doi.org/10.1142/S0219876222500414

Finally, the article was accepted!.

I was informed that it was accepted on the 3rd of August, but the website says it was on the 23rd.

Something is not quite correct, but errors will be fixed.

Revision submitted

hope it comes back to me soon! 

Decision in Process

Decision in Process@17/May/2022 

Now "under review"

It is now "Under Review". Needed a couple of days after it went to "With Editor" 

update on my article

After two weeks of the submission, finally my article is "with editor".

I have thought it would go directly to "under review".

 

A new paper, but "submitted to Journal" for over a week

 A new paper was submitted on 25th of Feb., but still "submitted to journal". nearly two weeks.

hope an editor is handling my manuscript, but no reviewer is assigned yet.

It was submitted to International Journal of Computational Methods

Guest Investigator @Woods Hole Oceanographic Institution

 From this December, I am also a Guest Investigator at Woods Hole Oceanographic Institution.

I will work on HPC in underwater acoustics.

Hope I can provide some good achievements and make any feed-back to CTBT.

MPI/OpenMP hybrid with Intel MPI

  mpirun -np 8 -genv OMP_NUM_THREADS=16 -hosts node2-ib,node3-ib,node4-ib,node5-ib -ppn 2 ./sol

To run an OpenMP/MPI hybrid code with IntelMPI, the above command is needed.

The meanings are;

8 MPI processes (-np 8),

16 OpenMP threads (-genv OMP_NUM_THREADS=16) ,

2 MPI processes per node (-ppn 2).

Profiling Oct-file

Since Oct file of Octave is used to get a speedup, I think profiling of oct-files is useful, but I have not been able to do so. Oct-file is an executable binary called by Octave, and so, the profilers might be confused.

Recently, I have just found that "Intel Advisor" can get the information of my oct file. In addition, it really gives me the advice to get better performance.

We just need to launch Octave script to get the performance, namely you need to specify the following on Intel Advisor,
Binary: octave or octave-cli,
Option: an Octave script that calls your Oct-file.

That's it!

Compile Octave with intel compiler

I finally found a way to build Octave with intel compiler and mkl.

$ cat conf_ifort.sh

CPPFLAGS=' -I${MKLROOT}/include -I${MKLROOT}/include/fftw' \

LDFLAGS=' -L${MKLROOT}/lib/intel64' \

CFLAGS="-O3 -fPIC -DM_PI=3.1415926535897932384  -I${MKLROOT}/include -I${MKLROOT}/include/fftw" \

CC=icx CXX=icpx F77="ifort" \

../octave-6.2.0/configure --prefix=/path/to/OCTAVE/6.2.0 \

--with-blas="-lmkl_intel_lp64 -lmkl_intel_thread -lmkl_core -liomp5 -lpthread -lm -ldl" \

--with-lapack="-lmkl_intel_lp64 -lmkl_intel_thread -lmkl_core -liomp5 -lpthread -lm -ldl" \

--with-fftw3="-lmkl_intel_lp64 -lmkl_intel_thread -lmkl_core -liomp5 -lpthread -lm -ldl" \

--with-fftw3f="-lmkl_intel_lp64 -lmkl_intel_thread -lmkl_core -liomp5 -lpthread -lm -ldl" \

--disable-java --enable-static --enable-fortran-calling-convention=gfortran 

Colour scheme for scientific computing visualization

 Looks nice, and the author provides Python codes (and some other languages).

I also have a kind of colour blindness (red and green). It would be nice to have this.

https://ai.googleblog.com/2019/08/turbo-improved-rainbow-colormap-for.html

客員共同研究員/Visiting Researcher @東大/The University of Tokyo

As of today, I work for/with Prof. Hiroshi Okuda at the University of Tokyo as a visiting researcher.

Hope that I can bridge the Japanese academia and CTBTO.

Well, it is obviously at no cost. So, if you feel you want to support my research, please feel free to donate with my wishlist on Amazon :)

今日付けで東大　新領域創成科学　奥田研究室の客員共同研究員になりました。

大したことはできませんが、少しでも世の中の役に立てると良いと思っています。

DOI for my newly published paper

 I have just notified that my newly published paper got a DOI.
https://doi.org/10.1142/S0219876221500274

Actually, I got the notification from ORCID, not from the journal. Things are getting well organized, but feel some skew.

OpenMP Offloading on Intel Core i7

 I am thinking if OpenMP Offloading works with XcalableMP, and desire to play around it.

Luckily, my laptop has Core i7-8665U, and Intel's OneAPI compiler provides us with openmp-offloading.

Software installation is quite straightforward;
https://software.intel.com/content/www/us/en/develop/articles/installing-intel-oneapi-toolkits-via-apt.html#aptpkg

And the first step guide is;
https://software.intel.com/content/www/us/en/develop/documentation/get-started-with-cpp-fortran-compiler-openmp/top.html

Surely working!

FDM for the time dependent wave equation in Julia

I am writing a test code of our new time-dependent wave equation in Julia.

For now, it is equivalent to the normal wave equation and it looks fine.

I am not sure Julia is that fast and easy to write, but one of the merits is that the visualization functions can be called within Julia's framework.

 

SC19の論文出版

されました。

https://link.springer.com/chapter/10.1007%2F978-3-030-49943-3_2

誰も教えてくれないのに、Researchgateとか、ORCIDとかが察知していたのでわかった。

ので、まだ、抜き刷りもらってません。