Self Introduction for people interested in me.

1. Takayoshi Iitsuka
20161216

2.  Vector Supercomputers
 Pseudo-Vector Supercomputers
 Parallel Supercomputers
S-820 S-3800
CP-PACS SR2201
SR8000

3.  Tsukuba University and Hitachi cooperated on development of Pseudo-
vector mechanism (original technology), and I lead its compiler team.
 Based on evaluation of a customer's benchmark programs, I proposed
several CPU instructions and it lead to orders from important customers.

4.  For parallelization of big program, Hitachi developed interprocedural
parallelizer, and I developed core of it i.e. inter-procedural analysis.
 Wrote several US-patent on compiler technology.

5.  Hitachi joined Japanese National Project RWC (Real World Computing) and
developed WPP (Whole Program Parallelizer). Interprocedural analysis
played core role in WPP. This research result was exhibited at SC99.
http://keima.la.coocan.jp/rwcp/10years/10-2/docs/chapter007/3para/16/36.html
 The project was hand over to next National Project “Advanced
Paralleling Compiler Project” http://www.apc.waseda.ac.jp/index.html
 I was a committee member of HPC research group of IPSJ in 2000 - 2001.

6.  In 2001, Hitachi made decision to concentrate on Storage research and
many researcher including me moved to storage research.
 I lead cross laboratory NAS (Network Attached Storage) project and
achieved 3 times speedup of the NAS.
 In this project, I proposed hardware-counter based profiling of Kernel,
and discovered that memory access govern the performance. I proposed to
change the structure of hash table and it was very effective.
 I left Laboratory after this research in 2003.

7.  2003 – 2009: In SAN Solution Division, I cooperated with Hitachi Data
Systems (headquarters in San Jose) and contributed to the shift from
hardware to software/services in storage business. It includes planning
and promotion of new storage, its software and services, and alliance
with storage related vendors: Symantec/Veritas, OpenText, AppIQ (acquired
by HP 2005/9), Archivas (acquired by Hitachi 2007/2), etc. As for
Archivas, I conducted evaluation and commercialization of their software.
 2009 – 2015: In Platform Solution Division and Cloud Service Division, I
contributed the shift from product based business to service based
business (cloud). I was engaged in planning and development of cloud
service 3 years. After that, I was charged in public relations of Hitachi
Cloud. It had been called Harmonious Cloud. I contributed news release of
alliance with Microsoft, alliance with Amazon, “Hitachi Cloud”, etc.
AppIQ

8.  2015/10 – 2016/2 : Retired Hitachi 2015/9E with early retirement program
with additional severance pay. Enjoyed travel to Switzerland with my
wife and free days. But, it had been becoming boring.
 2016/2 - : In the middle of February, I started learning of latest web
technology, Java, deep learning, etc. It has been very interesting and
enjoyable for me. I started blog, twitter and github at first.
 I wrote roughly 100 articles, and got 22,258 access in total.
http://itsukara.hateblo.jp/
 I uploaded 18 repositories in github (5 repositories are related to AI).
https://github.com/Itsukara
 I uploaded 3 slide in slideshow.net (all are related to deep learning).
Currently, total view is 3,321. http://www.slideshare.net/ItsukaraIitsuka/
 I started Learning of deep learning in the end of May. I attended Do2dle
research group meeting several times and read 4 books on deep learning
(before that, I read 1 book). (Do2dle: come from DUDL i.e. Deep Understanding
of Deep Learning. After entered research group, I named it as this)
 In the beginning of August, DQN group of Do2dle set target of group as
Montezuma’s Revenge, because it was the most difficult in DeepMind paper.

9.  Only I had a time to try Montezuma’s Revenge. I got stuck neear the end
of August. Because I realized that there is little chance to get reward
in Montezuma’s Revenge. I felt that some kind of mile stone or reward
decreasing when the same state continue is needed. I wrote it in blog.
 I received twitter message from Mr. Miyoshi, who is the author of very
fast A3c code which I was using, that DeepMind submitted a paper
related to Montezuma’s Revenge, although he had not been read it yet.
 After that, I concentrated on Montezuma’s Revenge.
For details, I will introduce it in another slide.
 I also has a slide on my works in github, etc.
 My learning history:
 2016/2-5: Mastered web-front-technology (HTML5/CSS3, Javascript) and some of backend-
technology NodeJS, sqlite3 and Java (Oracle OJCP Silver certificate in one month).
 2016/5-8: Learned basics of AI and deep learning. Tried DQN and A3C with “Breakout”.
 2016/8- : Concentrated on Deep Reinforcement Learning of “Montezuma’s Revenge”.
 2016/9/14: Made presentation in WBAI meeting held at Dwango AI Lab. lead by Mr. Yamakawa
WBAI: Whole Brain Architecture Initiative, NGO to promote research and
development of “general AI” like human, lead by Mr. Yamakawa
http://wba-initiative.org/en/about/
http://wba-initiative.org/wp-content/uploads/2015/05/wbai-leaflet.pdf

11. Thank you for listening