Takayoshi Iitsuka

20161216

Vector Supercomputers

Pseudo-Vector Supercomputers

Parallel Supercomputers

S-820 S-3800

CP-PACS SR2201

SR8000

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.

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.

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.

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.

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

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.

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

Thank you for listening