Prof. Dr. Toyotaro Suzumura Ph.D., Research Scientist and Manager, IBM T.J. Watson Research Center, IBM Research, New York, USA Address: 1101 Route 134 Kitchawan Rd. Yorktown Heights, New York, United States, 10598 Mobile: 914-525-1870 E-mail : suzumura@acm.org Visiting Full Professor, National Laboratory in Spain, Barcelona Supercomputing Center, Spain JST CREST Project –co-Principal Investigator Address: Carrer de Jordi Girona, 29-31, 08034 Barcelona, Spain

Summary

He is a research scientist and manager of Cognitive Graph Computing Group at the R&D headquarter of IBM, namely IBM T.J. Watson Research Center, IBM Research in New York, USA. He is leading the world-wide team of graph analytics and machine learning in IBM Research and currently leading the FSS (Financial Service Sector) Research Strategy as well. He also serves as a visiting full professor at Barcelona Supercomputing center in Spain.

He has broad knowledge and experience in the research and development of computer science including big data processing in large-scale distributed systems, parallel and distributed middleware and its application to real-time data stream computing, large-scale graph processing, cloud computing, and various performance optimization technologies, design and implementation of dynamic scripting language and object-oriented parallel language and large-scale traffic simulation. Dr. Suzumura has been working for IBM Research since 2004 for 15 years after finishing his Ph.D. in 2004 in the area of Cloud/Grid and supercomputing fields. During his 15 years in IBM Research, as a dual-appointment, he had been also appointed as a visiting associate professor at Tokyo Institute of Technology since 2009 supervising 16 graduate students in his own laboratory “Suzumura Laboratory” and also a visiting associate professor of University College Dublin in Ireland since 2014/04 supervising 10 master students and 3 Ph.D. students. Since 2013/10, He had worked for IBM Research – Ireland, the R&D headquarter of IBM Research in Europe as an international assignment specifically focusing on a variety of Smarter-Cities related technologies. Since 2015/04, He joined the headquarter of IBM Research - IBM T.J. Watson Research Center in New York, USA as a full-time research staff member and been leading a team of large-scale graph processing platforms. He has published over 76 reviewed research papers including top-quality international conferences and workshops as well as serving program committee chairs for top-tier big data and AI conferences, and numerous program committee members and workshop chairs for top-tier conferences. He had le two file-years Japanese government projects as a co-principal investigator. His latest notable accomplishment is that he and his team won the 1st place 5 times in the big data/graph supercomputing competition called Graph500 in the world in June 2014, June and November in 2015, and June and November in 2016, and June in 2017 respectively. This achievement had been featured in various media.

2

Career

• IBM T.J. Watson Research Center - IBM Research Senior Research Scientist / Manager, Cognitive Graph Computing Department 4/2015 - Present

• Barcelona Supercomputing Center, Spanish National Laboratory Visiting Full Professor (*Dual Appointment with IBM Research 4/2016 - Present

• Tokyo Institute of Technology Adjunct Professor (*Dual Appointment with IBM Research 2014 - Present

• The University of Tokyo Visiting Researcher (*Dual Appointment with IBM Research) 4/2016 - 03/2018

• IBM Research - Ireland, Smarter Cities Technology Centre Research Staff Member 10/2013 - 10/2015 Visiting Associate Professor in University College Dublin in Ireland

• IBM Research - Tokyo Research Staff Member 4/2004 - 9/2013

• Tokyo Institute of Technology (*Dual Appointment with IBM Research) Visiting Associate Professor - leading his own research laboratory named "Suzumura laboratory". Supervised 16 students including master and Ph.D. students. We have achieved to win world championships in big data competition on supercomputers called Graph500. 2009/04 - 2013/09

3

Education

2004/3 Doctor of Philosophy in Computer Science, Tokyo Institute of Technology

Thesis advisor: Dr. Satoshi Matsuoka. Thesis title: “A Service-Oriented Architecture for Dynamically Generating Grid Portals”

2001/09 Master of Science in Computer Science, Tokyo Institute of Technology Thesis advisor: Dr. Satoshi Matsuoka. Thesis title: “A Jini-based Computing Portal System”

1999/03 Bachelor of Science in Computer Science, Tokyo Institute of Technology Thesis advisor: Dr. Satoshi Matsuoka. Thesis title: “Grid RPC on Globus”.

Principal Investigators for Research Grants, and Open Source Project Leader

• Co-Principal Investigator, "Large-scale graph processing system", JST (Japan Science Foundation) CREST, 2010/10-2017/04 (5.5 years)

• Co-Principal Investigator, "Extremely Big Data Processing", JST (Japan Science Foundation) CREST, 2013/10-2019/04 (5.5 years)

• Principal Investigator, “Real-time stream computing system”, MEXT, Japan 2010/04-2013/03 (3 years)

• Project Leader : ScaleGraph - An open source large-scale graph processing system 2010/10-present, http://www.scalegraph.org

Honors and Awards

l Won the top spot (1st ranking) in Graph500 supercomputer contest 7 times in 2014/06, 2015/06, 2015/11, 2016/06, 2016/11, 2017/06 and 2017/11.

l A co-program chair of IEEE ICCC 2018 (International Conference on Cognitive Computing) l A co-program chair of IEEE BigData 2017 – one of the largest international conferences in

the area of BigData where more than 1,000 researchers participated l A program chair for IEEE BigData 2016 (Industrial and Government Program) – the largest

international conference on Big Data. l Keynote Speaker, ACM ICPE 2014 (International Conference on Performance Engineering) l Invited talks at many international research institutes l One of Best papers in 2009, Internet Architecture SIG, IEICE (The Institute of Electronics,

Information and Communication Engineers) l One of Best papers, The 72nd National Convention of IPSJ, 2010/03 l IBM SUR (Shared University Relationship) Award, 2010/11 l JSPS (Japan Society for the Promotion of Science) Fellowship, 2002-2004

4

Academic Professorship

2016/04 – present : Visiting Full Professor, Barcelona Supercomputing Center in Spain I have been appointed as a visiting full processor while working for IBM T.J. Watson Research Center as a full-time research staff member 2014/11 – present : Adjunct Professor at Tokyo Institute of Technology I just taught a series of lectures on large-scale computing system including large-scale agent simulation platform, large-scale graph processing, and stream computing. 2016/04 – 2018/03 : Visiting Researcher, The University of Tokyo I have been appointed as a visiting researcher at the University of Tokyo. 2009/04 – 2013/09 : Visiting Associate Professor at Tokyo Institute of Technology I had been appointed as a visiting associate professor at Tokyo Institute of Technology (Department of Computer Science, Graduate School of Information Science and Engineering) while also continuing to work for IBM Research – Tokyo (TRL) in the same way as other TRL researchers. I had my own laboratory called “Suzumura Laboratory” consisting of 16 students including Ph.D. students and still continue to advise some of them remotely from United States. The main research topics of our laboratory are mainly stream computing and also large-scale graph processing for super computers, and also large-scale agent simulation platform. I also taught graph algorithms for undergraduate students in the department of computer science and large-scale data processing for graduate students. I have also IBM SUR (Shared University Relationship) Award in 2010. Moreover we have achieved 3rd rank in the supercomputing contest called Graph500 that is focused on Big Data processing. After moving to Dublin, Ireland in 2013/10 as an IBM international assignment, he has continued to be invited as an adjunct professor by the university by having intensive course on big data processing and also supervising 2 Ph.D. students. and 5 master students. 1998/4-2004/3 Grid Computing Research at Tokyo Institute of Technology Since 1998, I had been engaged with highly distributed computing platform or Grid computing research at Tokyo Institute of Technology and finished my Ph.D thesis in the area. I was involved with the research and development of Grid middleware layer technologies including the development of Ninf/GridRPC, and portal generation technologies like the Ruby-on-rails today as well as the standardization work of Global Grid Forum (called Open Grid Forum now). 2002/4-2004/3 Research Fellow at JSPS (Japan Society for the Promotion of Science) 2003/6-2003/12 Visiting Researcher at San Diego Supercomputing Center (SDSC) 2002/01-2002/04 Intern at Tokyo Research Laboratory of IBM Research 2001/4-2001/08 Visiting Researcher at Extreme Laboratory of Indiana University led by Prof. Dennis Gannon 2000/7-2001/3 Visiting Researcher at Innovative Computing Laboratory in University of Tennessee led by Prof. Jack Dongarra (Founder for Supercomputing, Top500)

5

Research Activities

In IBM Research and academia, I have been involved with research projects mainly related to HPC (High Performance Computing), big data analytics, big graph analytics, machine learning , large-scale traffic simulation for Smarter cities, stream computing, etc. The following list is several projects (not all) I worked or am currently working from 2004 to present in IBM Research. 1. Artificial Intelligence for Financial Fraud Detection (2015 – present)

I have been leading a world-wide team that focuses on AI (artificial intelligence) for financial institutions. It includes various techniques such as large-scale graph analytics, big data processing, machine learning, natural language processing and computer vision. Since 2015, I have designed and implemented a novel method called graph-powered machine learning to detect fraudent activities in banks such as anti-money launder and fraud detection or compute some risks for non-performing loan activities. This project comes from multi-dicipline research areas that I have been working such as high-performance computing, graph analytics and machine learning. My accomplishment has been introduced by multiple large banks and also now integrated with the IBM Watson product.

2. Large-Scale Graph Processing and Machine Learning (2010-present) In the big data processing area, large-scale graph processing is one of the important and challenging areas to analyze a variety of applications with billion-scale graphs such as Human Brain, social network, web, cyber security graph, RDF graph, e-commerce, and so forth. In this research I am leading a couple of large-scale graph relevant research including a highly scalable graph analytics algorithm and library, and also the method that uses the state-of-the art hardwares such as GPGPUs. Also my team has been tackling the famous benchmark called Graph500 that ranks the performance of graph algorithms on supercomputers. So far we have continue to achieve at least 3rd score since 2011/11 at the international supercomputer conference. Also I am leading an open-source large-scale graph processing library called ScaleGraph since 2011/10, and getting a lot of attentions from communities such as Graphlab. I Just mention one of the research relevant to highly scalable graph algorithms on 4096 GPUs. We proposed a highly optimized parallel and distributed BFS on GPU for the Graph500 benchmark for supercomputers and evaluate the performance of our implementation using TSUBAME2.0 supercomputer in Japan. We analyze the performance of our implementation and the result shows that inter-node communication limits the performance of our GPU implementation. We also propose SIMD Variable-Length Quantity (VLQ) encoding for compression of communication data with GPU. We achieve 317 GTEPS (billion traversed edges per second) with scale 35 (a large graph with 34.4 billion vertices and 550 billion edges) using 1366 nodes and 4096 GPUs. With this implementation, the upgraded TSUBAME2.5 supercomputer is ranked 1st in the ranking list of Green Graph500 recently announced in November 2013.

3. Smarter City Technology: X10-based Large Scale Agent-based Simulation Platform and its Application to Transportation (2011-2016)

6

I have been working on XAXIS and its application to the traffic simulator called Megaffic. XAXIS is a highly scalable distributed platform built on top of the IBM's X10 language for running a variety of large-scale agent simulations such as traffic simulation. Our experiment of running 10 million of vehicles in the country-wide road network on top of 1200 CPU cores in a supercomputer - located at Tokyo Institute of Technology - was the first attempt in this research area and selected as the simulation platform in the Japanese government project starting from 2012/10 for 5.5 years. Many IBM's Smarter City projects - in such cities as Nairobi in Kenya, Melbourne in Australia, Sendai in Japan, Mexico, etc - have also chosen XAXIS as the simulation platform for their city planning and disaster management.

4. BIG Data: Stream Computing Platform for Large-Scale Streaming Data (2009-present) In IBM, I contributed to the successful completion of the first PoC project in Japan using InfoSphere Streams with NTT East (Largest telecom company in Japan that has 50 million users) in terms of various aspects such as application design, architectural decision, performance optimization and so forth. Also during the PoC project, I just found several findings such as code optimization, allocation strategy using memory consumption. After successful completion of Proof of Concept for NTT East, I engaged in a production project for building the next generation billing system on top of InfoSphere Streams. The project is successfully concluded as the first customer case in Japan that uses InfoSphere Streams in the middle of August, and the real service has been started since 2011/06 and it is now expanded to NTT West as well. I also have been working more on the research of stream computing on a cluster of nodes that enables real-time processing for a large amount of streaming data such as microblogging and other physical sensors from various aspects. I am currently leading various projects such as GPGPU-based optimization, large-scale graph stream processing, Cloud-based stream computing, automatic stream program optimization, integration with MapReduce processing platform, etc.

5. Cloud / Grid Computing / Distributed Computing (1999- )

My main contribution is published in the most top-ranked conference, Supercomputing 2001. In my paper, we propose JiPANG (A Jini-based Portal Augmenting Grids) that is a portal system and a toolkit which provides uniform access interface layer to a variety of Grid systems, and is built on top of Jini distributed object technology. JiPANG performs uniform higher-level management of the computing services and resources being managed by individual Grid systems such as Ninf, NetSolve, Globus, etc. In order to give the user a uniform interface to the Grids JiPANG provides a set of simple Java APIs called the JiPANG Toolkits, and furthermore, allows the user to interact with Grid systems, again in a uniform way, using the JiPANG Browser application. With JiPANG, users need not install any client packages before-hand to interact with Grid systems, nor be concerned about updating to the latest version. Such uniform, transparent services available in a ubiquitous manner we believe is essential for the success of Grid as a viable computing platform for the next generation.

6. X10 – Highly Productive Parallel Programming Language (2010-2011) X10 is a new language that brings highly productive parallel programming environment and I had worked on the language implementation and the underlying optimal communication mechanism. The software is now published as an open-source software.

7

7. Scalable PHP runtime (2007-2009) PHP language is gaining much popularity from open source projects and I worked the project of implementing a scalable and high-performance PHP runtime. This artifact was delivered to IBM WebSphere product.

8. High Performance XML and Web Service Platform (2004-2006) I worked on the optimization of XML-related software processing such as SOAP Deserialization XML Schema Validation, XML Parsing that are key enablers for realizing SOA and Web 2.0.

9. Applying Model Driven Architecture to Banking Industry (2006) I co-worked with consultants in IBM Consulting Service (IBCS) and customers in the banking industry, working on a proof-of-concept project which aimed at applying model driven architecture technology to real business customer cases.

10. Development of XBRL (eXtensible Business Reporting Language) processor (2005) I was responsible for leading the development team which implemented IBM’s XBRL processor which is becoming de-facto standard specification for financial information. XBRL is adopted by many financial organizations such as The Tokyo Stock Exchange, the Bank of Japan,

Academic Conference Activities, Invited Talks and Books

l Academic Conference Activities

Ø IEEE ICCC (International Conference on Cognitive Computing) 2018, co-Program Committee Chair

Ø IEEE BigData 2017, co-Program Committee Chair Ø IEEE Cloud 2017, Application Track Chair Ø ACM/IEEE Supercomputing 2017, Program Committee Member Ø 24th IEEE International Conference on Web Services (ICWS 2017), Program Committee

Member Ø IEEE Cloud 2017 (The 10th International Conference on Cloud Computing), Program

Committee Member Ø IEEE BigData 2016, Program Chair for Industrial and Government Program Ø IEEE/ACM DS-RT 2016, Program Committee Member Ø 23rd IEEE International Conference on Web Services (ICWS 2016), Program Committee

Member Ø IEEE CBDCom 2016 (The IEEE International Conference on Cloud and Big Data

Computing), Track Chair Ø IEEE Cloud 2016 (URL) (The 9th International Conference on Cloud Computing), June,

San Fransisco, USA, Program Committee Member Ø IEEE ICWS 2016 (International Conference on Web Services), Program Committee

Member Ø ACM/IEEE Supercomputing 2015, Program Committee Member Ø ACM/IEEE IPDPS 2015, Program Committee Member, 29th IEEE International Parallel &

Distributed Processing Symposium, Program Committee Member

8

Ø ACM/IEEE Cluster 2015, Program Committee Member Ø INFORMS Winter Simulation Conference 2015, Track Chair / Coordinator- Big Data and

Decision Making, Program Committee Member Ø ACM KDD High Performance Graph Analytics Workshop, Workshop Chair Ø ACM/IEEE 22nd IEEE International Conference on Web Services (ICWS 2015), Program

Committee Member Ø IEEE/ACM DSAA 2015 (International Conference on Data Science and Advanced

Analytics), Workshop co-Chair, October, 2015, Paris, France Ø SIMUTOOLS 2015 (Eighth International Conference on Simulation Tools and

Techniques), Program Committee Member, August, 2015, Athene, Greece Ø The 12th International Conference on Mobile Systems and Pervasive Computing

(MOBISPC-15), which will be held in August 17-20, 2015 at Belfort, France Ø IEEE CSE 2015 (18th IEEE International on Computer Science and Engineering), Techical

Program Committee Ø IEEE International Conference on Cloud Computing Technologies and Applications -

CLOUDTECH 2015, Scientific Committee Ø INFORMS Winter Simulation 2014, Program Committee Member Ø ACM/IEEE Supercomputing 2014, Program Committee Member Ø A steering committee member of Graph500 (http://www.graph500.org), a

supercomputer ranking for Big Data Ø Global Inter-Cloud Technology Forum, ACM/IEEE Supercomputing 2014, Program

Committee Member Ø ACM WWW 2014 (World Wide Web) LSNA (Large-Scale Network Analysis) Workshop,

Workshop Chair Ø IEEE ICWS 2014 (International Conference on Web Services), Program Committee

Member Ø IEEE CLOUD 2014, Program Committee Member Ø IEEE BigData 2013, US, Program Committee Member Ø IEEE CLOUD 2013 (The 5th International Conference on Cloud Computing), US, Program

Committee Member Ø IEEE CLOUD 2012 (The 4th International Conference on Cloud Computing), July,

Washington, US, Program Committee Member Ø MobiWis 2011 (8th International Conference on Mobile Web Information Systems),

Canada, Program Vice Chair "Mobile Web and Cloud Services" Ø IEEE DEIT 2011 (The International Conference on Data Engineering and Internet

Technology 2011), Indonesia, Program Committee Member Ø IEEE CLOUD 2011 (The 4th International Conference on Cloud Computing), July,

Washington, US, Program Committee Member Ø IEEE CLOUD 2010 (3he International Conference on Cloud Computing), July 2010,

Florida, USA,Program Committee Member Ø IEEE CLOUD 2009 (2nd International Conference on Cloud Computing), from the 21-25

September, 2009 ,Program Committee Member Ø IEEE EDOC 2007 (Enterprise Distributed Object Computing Conference),Program

Committee Member Ø IARIA Computation Tools 2010 ,Program Committee Member Ø IARIA Service Computation 2010,Program Committee Member Ø ICITST-2009 (International Conference for Internet Technology and Secured

Transactions), Program Committee Member

9

Ø InCoB 2010 (International Conference on Bioinformatics), Program Committee Member Ø SACSIS(Symposium on Advanced Computing Systems and Infrastructures) 2008, 2009,

2010, Program Committee Member Ø Internet Conference 2008 and 2009 Program Committee Member Ø Editorial Committee Member of IPSJ Transactions on Advanced Computing System

l Invited Talks at top-tier conferences (*Many invited talks at small workshops and universities are omitted) Ø Social Simulation Conference 2016, Rome, Italy, 2016/09 Ø ACM HPDC (High Performance and Distributed Conference), 2015/05 Ø IEEE BigData 2015, 2015/12, Ø Euro-Par 2015 - PELGA Workshop , Vienna, Austrlia, 2015/08 Ø ACM ICPE 2014, Dublin Ireland, 2014 Ø WWW (World Wide Web) 2015 – 22nd International World Wide Web Conference, LSNA

Workshop, 2013/05 l Book:

Ø Big Data of Complex Networks, ISBN 9781498723619, Series: Chapman & Hall/CRC Big Data Series

Ø Web Services Platform Architecture, SIB Access, ISBN: 4434073435

Publications (Reviewed International Conferences and Journals) *Only international reviewed papers are listed below, and 52 reviewed domestic papers are omitted * Complete list is in DBLP : https://dblp.uni-trier.de/pers/hd/s/Suzumura:Toyotaro * Google Scholar : https://scholar.google.com/citations?user=tY3BWm0AAAAJ&hl=en

1. Dario Garcia-Gasulla, Toyotaro Suzumura et al.: On the Behavior of Convolutional Nets for Feature Extraction, Journal of Artificial Intelligence Research, Volume 61, 2018

2. Dario Garcia-Gasulla, Toyotaro Suzumura et.al: A visual embedding for the unsupervised extraction of abstract semantics. Cognitive Systems Research 42

3. Warut D. Vijitbenjaronk, Jinho Lee, Toyotaro Suzumura, Gabriel Tanase: Scalable time-versioning support for property graph databases. BigData 2017: 1580-1589

4. Weiyi Liu, Toyotaro Suzumura, Lingli Chen, Guangmin Hu: A generalized incremental bottom-up community detection framework for highly dynamic graphs. BigData 2017: 3342-3351

5. Ferran Parés, Toyotaro Suzumura et.al: Fluid Communities: A Competitive, Scalable and Diverse Community Detection Algorithm. COMPLEX NETWORKS 2017: 229-240

6. Tommaso Tocci, Alessandro Pellegrini, Francesco Quaglia, Josep Casanovas-Garcia, Toyotaro Suzumura: ORCHESTRA: An asynchronous wait-free distributed GVT algorithm. DS-RT 2017: 51-58

7. Miyuru Dayarathna, Sathya Bandara, Nandula Jayamaha, Mahen Herath, Achala Madhushan, Sanath Jayasena, Toyotaro Suzumura: An X10-Based Distributed Streaming

10

Graph Database Engine. HiPC 2017: 243-252

8. Weiyi Liu, Pin-Yu Chen, Sailung Yeung, Toyotaro Suzumura, Lingli Chen: Principled Multilayer Network Embedding. ICDM Workshops 2017: 134-141

9. Dario Garcia, Toyotaro Suzumura, et al, A visual embedding for the unsupervised extraction of abstract semantics. Cognitive Systems Research, 2017

10. Peng Du, Elvis S. Liu, Toyotaro Suzumura: Parallel continuous collision detection for high-performance GPU cluster, ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games San Francisco, CA, 2017

11. Toyotaro Suzumura: Towards Next-Generation Graph Processing and Management Platform. HPGP@HPDC 2016

12. Koji Ueno, Toyotaro Suzumura, Naoya Maruyama, Katsuki Fujisawa, and Satoshi Matsuoka: "Efficient Breadth-First Search on Massively Parallel and Distributed Memory Machines", IEEE Big Data 2016, USA

13. Hiroki Kanezashi and Toyotaro Suzumura, "Towards Incremental Community Detection Method for Large-Scale Dynamic Graph", Third International Workshop on High Performance Big Graph Data Management, Analysis, and Mining (BigGraphs 2016), to be held in conjunction with the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), in Washington, D.C., USA, 2016/12

14. Dario Garcia-Gasulla, Jonathan Moreno, Raúl Ramos-Pollán, Romel Casadiegos Barrios, Javier Béjar, Ulises Cortés, Eduard Ayguadé, Jesús Labarta, Toyotaro Suzumura: On the Representativeness of Convolutional Neural Networks Layers. CCIA 2016: 29-38

15. Miyuru Dayarathna, Isuru Herath, Yasima Dewmini, Gayan Mettananda, Sameera Nandasiri, Sanath Jayasena, Toyotaro Suzumura: Introducing Acacia-RDF: An X10-Based Scalable Distributed RDF Graph Database Engine. IPDPS Workshops 2016: 1024-1032

16. Toyotaro Suzumura and Koji Ueno “ScaleGraph: A High-Performance Library for Billion-Scale

Graph Analytics”, 2015 IEEE International Conference on Big Data (IEEE BigData 2015), CA, US, Oct 2015,

17. Toyotaro Suzumura and Hiroki Kanezashi, "A High Performance Multi-modal Traffic Simulation Platform and Its Case Study with the Dublin City", Winter Simulation Conference 2015, CA, US, Dec. 2015

18. Chun-Fu Richard Chen, Gwo Giun (Chris) Lee, Yinglong Xia, W. Sabrina Lin, Toyotaro Suzumura, Ching-Yung Lin: Efficient Multi-training Framework of Image Deep Learning on GPU Cluster. ISM 2015: 489-494

19. Masatoshi Hanai and Toyotaro Suzumura and Hiroki Kanezashi, "Towards Large-Scale What-If Traffic Simulation with Exact-Differential Simulation", Winter Simulation Conference 2015, CA, US, Dec. 2015

11

20. Hiroki Kanezashi and Toyotaro Suzumura, “Performance Optimization for Agent-Based Traffic Simulation by Dynamic Agent Assignment “, Winter Simulation Conference 2015, CA, US, Dec. 2015

21. Daisuke Ishii, Kazuki Yoshizoe, Toyotaro Suzumura: Scalable Parallel Numerical Constraint Solver Using Global Load Balancing. CoRR abs/1505.04542 (2015)

22. Masatoshi Hanai, Toyotaro Suzumura, Georgios Theodoropoulos and Kalyan Perumalla,"Exact-Differential Large-Scale Traffic Simulation", ACM SIGSIM Conference on Principles of Advanced Discrete Simulation (PADS) 2015, London, UK, 2015

23. Daisuke Ishii, Kazuki Yoshizoe and Toyotaro Suzumura, "Scalable Parallel Numerical Constraint Solver using Global Load Balancing", PLDI 2015 Workshops - ACM SIGPLAN X10 Workshop (X10 2015) , Portland, Oregon, United States, 2015/06

24. Dakshi Agrawal, Toyotaro Suzumura, et.al, "SparkBench - A Spark Performance Testing Suite", Seventh TPC Technology Conference on Performance Evaluation & Benchmarking (TPCTC 2015), August 31st, VLDB 2015 (41st International Conference on Very Large Data Bases)

25. Toyotaro Suzumura, Charuwat Houngkaew and Hiroki Kanezashi, "A Parallel and Distributed Processing Model for Mobile-Agent-Based Simulation Towards the Application to Billion-Scale Traffic Flow Simulation", Winter Simulation Conference 2014, Savannah, GA, US, Dec. 7-10, 2014/12,

26. Toyotaro Suzumura and Hiroki Kanezashi, "Multi-Modal Traffic Simulation on Parallel and Distributed Systems", Winter Simulation Conference 2014, Savannah, GA, US, Dec. 7-10, 2014/12,

27. Toyotaro Suzumura: Extreme big data processing in large-scale graph analytics and billion-scale social simulation. ICPE 2014: 1-2, Dublin, Ireland, 2014

28. Miyuru Dayarathna and Toyotaro Suzumura, "Towards Emulation of Large Scale Complex Network Workloads on Graph Databases with XGDBench", IEEE BigData 2014, Alaska, US, 2014/06

29. Daisuke Ishii, Kazuki Yoshizoe and Toyotaro Suzumura, "Scalable Parallel Numerical CSP Solver", CP 2014 (The 20th International Conference on Principles and Practice of Constraint Programming), Lyon France, 2014/09

30. Masatoshi Hanai, Toyotaro Suzumura, Anthony Ventresque, and Kazuyuki Shudo, "Towards a Framework for Adaptive Resource Provisioning in Large-Scale Distributed Agent-based Simulation", 2nd Workshop on Parallel and Distributed Agent-Based Simulations, 2014/09, Portgul, 2014/09

31. Toyotaro Suzumura, Masaru Ganse, and Shunsuke Nishii, "Towards Graph Stream Processing Platform", Large-Scale Network Analysis Workshop in conjunction with World Wide Web

12

2014 (WWW'14), Seoul, Korea, 2014/04

32. Hidefumi Ogata and Toyotaro Suzumura, "Towards X10-Based Link Prediction for Large-Scale Network", Large-Scale Network Analysis Workshop in conjunction with World Wide Web 2014 (WWW'14), Seoul, Korea, 2014/04

33. Toyotaro Suzumura and Hiroki Kanezashi, "A Holistic Architecture for Super Real-Time Multiagent Simulation Platform", Winter Simulation Conference 2013, 2013/12, Washington D.C., US

34. Koji Ueno and Toyotaro Suzumura, "Parallel Distributed Breadth First Search on GPU", HiPC 2013 (IEEE International Conference on High Performance Computing), India, 2013/12

35. Charuwat Houngkaew and Toyotaro Suzumura, "X10-Based Distributed and Parallel Betweenness Centrality and Its Application to Social Analytics", HiPC 2013 (IEEE International Conference on High Performance Computing), India, 2013/12

36. Toyotaro Suzumura and Hiroki Kanezashi, "Accelerating Large-Scale Distributed Traffic Simulation with Adaptive Synchronization Method", accepted as Scientific Paper, 20th ITS World Congress 2013, 2013/10, Tokyo, Japan

37. Miyuru Dayarathna and Toyotaro Suzumura, "A Performance Analysis of System S, S4, and Esper via Two Level Benchmarking", 10th International Conference on Quantitative Evaluation of SysTems (QEST 2013), 2013/08, Buenos Aires, Argentina

38. Koichi Shirahata, Hitoshi Sato, Toyotaro Suzumura and Satoshi Matsuoka, "A Scalable Implementation of a MapReduce-based Graph Processing Algorithm for Large-scale Heterogeneous Supercomputers", 13th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), Delft, Netherlands, 2013/5

39. Masaru Watanabe and Toyotaro Suzumura, "How Social Network is Evolving ? A Preliminary Study on Billion-scale Twitter Network", The 2nd International Workshop on Large Scale Network Analysis (LSNA 2013) In conjunction with WWW 2013, 2013/05, Rio de janeiro, Brazil

40. Miyuru Dayarathna and Toyotaro Suzumura, "A first view of Exedra: A Domain-Specific Language for Large Graph Analytics Work Flows", The 2nd International Workshop on Large Scale Network Analysis (LSNA 2013) In conjunction with WWW 2013, 2013/05, Rio de janeiro, Brazil

41. Toyotaro Suzumura and Hiroki Kanezashi, "Highly Scalable X10-based Agent Simulation Platform and its Application to Large-scale Traffic Simulation", 2012 IEEE/ACM 16th International Symposium on Distributed Simulation and Real Time Applications, Dublin, Ireland, 2012/10

42. Toyotaro Suzumura, Mikio Takeuchi, Sei Kato, Takashi Imamichi, Hiroki Kanezashi, Tsuyoshi Ide and Tamiya Onodera, "X10-based Massive Parallel Large-Scale Traffic Flow Simulation", PLDI 2012 X10 Workshop, Beijing, China, 2012/06

13

43. Bao Nguyen and Toyotaro Suzumura, "Towards Highly Scalable Pregel-based Graph Processing Platform with X10", The 2nd International Workshop on Large Scale Network Analysis (LSNA 2013) In conjunction with WWW 2013

44. Miyuru Dararathna and Toyotaro Suzumura, "XGDBench: A Benchmarking Platform for Graph Stores in Exascale Clouds", IEEE CloudCom 2012 conference, Taipei, Taiwan, 2012/12

45. Hidefumi Ogata, Miyuru Dayarathna and Toyotaro Suzumura, "Highly Scalable X10 Based Spectral Clustering", ParGraph'12 Workshop, HiPC, Pune, India, 2012/12

46. Koji Ueno and Toyotaro Suzumura, "GPU Task Parallelism for Scalable Anomaly Detection",

HiPC 2012 (IEEE International Conference on High Performance Computing), Pune, India, 2012/12

47. Miyuru Dayarathna, Charuwat Houngkaew, Toyotaro Suzumura, "Scalable Performance of ScaleGraph for Large Scale Graph Analysis", HiPC 2012 (IEEE International Conference on High Performance Computing), Pune, India, 2012/12

48. Koji Ueno and Toyotaro Suzumura "Highly Scalable Graph Search for the Graph500 Benchmark" HPDC 2012 (The 21st International ACM Symposium on High-Performance Parallel and Distributed Computing) 2012/6, Delft, Netherlands

49. Miyuru Dayarathna, Charuwat Houngkaew, and Toyotaro Suzumura, "Introducing ScaleGraph : An X10 Library for Billion Scale Graph Analytics", PLDI X10 Workshop, 2012/06, Beijing, China

50. Koichi Shirahata, Hitoshi Sato, Toyotaro Suzumura, and Satoshi Matsuoka. "A GPU Implementation of Generalized Graph Processing Algorithm GIM-V" In Proceedings of the 3rd International Workshop on Parallel Algorithm and Parallel Software (IWPAPS 2012), Beijing, China, September 2012.

51. Hiroya Matsuura and Toyotaro Suzumura, "A Highly Efficient Consolidated Platform for Stream Computing and Hadoop ", IPDPS HPDIC Workshop 2012, 2012/5

52. Koji Ueno and Toyotaro Suzumura, "2D Partitioning Based Graph Search for the Graph500 Benchmark", IPDPS ParLearning Workshop 2012, 2012/5

53. Shunsuke Nishii and Toyotaro Suzumura, "Highly Scalable Speech Recognition System with Stream Computing", DASFAA 2012, 2012/4

54. Miyuru Dayarathna and Toyotaro Suzumura, "Hirundo: A Mechanism for Automated Production of Optimized Data Stream Graphs", ICPE 2012 ,ACM/SPEC 3rd International Conference on Performance Engineering, 2012/4, Boston, US

55. Toyotaro Suzumura, Koji Ueno "Performance Evaluation of Graph500 on Large-Scale

Distributed Environment", IEEE IISWC 2011 ( IEEE International Symposium on Workload Characterization) , 2011/11, Austin, TX, US

14

56. Toyotaro Suzumura and Tomoaki Oiki, "StreamWeb: Real-Time Web Monitoring with Stream Computing", IEEE ICWS 2011 (The 9th International Conference on Web Services), Washington DC, US, July, 2011

57. Atsushi Ishii and Toyotaro Suzumura, "Elastic Stream Computing with Cloud", IEEE CLOUD 2011 (The 4th International Conference on Cloud Computing)

58. Compiling X10 to Java, Mikio Takeuchi, Yuki Makino, Kiyokuni Kawachiya, Hiroshi Horii, Toyotaro Suzumura, Toshio Suganuma, and Tamiya Onodera, The ACM SIGPLAN 2011 X10 Workshop (X10’11) co-located with PLDI 2011, US, June, 2011

59. Toyotaro Suzumura, Toshiaki Yasue, and Tamiya Onodera, "Scalable Performance of System S for Extract-Transform-Load Processing", SYSTOR 2010 (The 3rd Annual International Systems and Storage Conference), Haifa, Israel, May 24-25, 2010

60. Michiaki Tatsubori, Akihiko Tozawa, Toyotaro Suzumura, Scott Trenet and Tamiya Onodera, "Evaluation of a Retrofitted Just-in-Time Compiler for a PHP Virtual Machine", The 2010 ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environment, VEE 2010, PA, March 17-19, 2010

61. Toyotaro Suzumura, Michiaki Tatsubori, Scott Trent, Akihiko Tozawa, and Tamiya Onodera, Highly Scalable Web Applications With Zero-Copy Data Transfer, WWW 2009 (18th International World Wide Web Conference), Spain Madrid, April, 2009

62. Michiaki Tatsubori, Toyotaro Suzumura,, HTML Templates that Fly – A Template Engine Approach to Automated Offloading from Server to Client, WWW 2009 (18th International World Wide Web Conference) , Spain Madrid, April, 2009

63. Toyotaro Suzumura, Scott Trent, Michiaki Tatsubori, Akihiko Tozawa, and Tamiya Onodera, Performance Comparison of Web Service Engines in PHP, Java and C, ICWS 2008 (International conference on Web Services), China, Sep, 2008

64. Scott Trent, Michaki Tatsubori, Toyotaro Suzumura, Akihiko Tozawa, and Tamiya Onodera, Performance Comparison of PHP and JSP as Server-Side Scripting Languages, Middleware 2008 , Belgium, Dec, 2008

65. Toyotaro Suzumura, Satoshi Makino,Naohiko Uramoto, Optimizing Differential XML Processing by Leveraging Schema and Statistics, ICSOC 2006 (International Conference on Service Oriented Architecture), 2006

66. Toyotaro Suzumura, Toshiro Takase, Michiaki Tatsubori: Optimizing Web Services Performance by Differential Deserialization. ICWS 2005 (International Conference on Web services), July, 2005

67. Toshiro Takase, Hisashi Miyashita, Toyotaro Suzumura, Michiaki Tatsubori: An adaptive, fast, and safe XML parser based on byte sequences memorization. WWW 2005 (15th International World Wide Web Conference)

15

68. Yoshio Tanaka, Hidemoto Nakada, Satoshi Sekiguchi, Toyotaro Suzumura,, Satoshi Matsuoka. "Ninf-G: A Reference Implementation of RPC-based Programming Middleware for Grid Computing" , Journal of Grid Computing, Vol. 1, No. 1, pp.41-51, 2003

69. Toyotaro Suzumura, Satoshi Matsuoka and Hidemoto Nakada. "A Jini-based Computing Portal System", Supercomputing 2001 (SC2001), Proceedings of the 2001 ACM/IEEE conference on Supercomputing, 2001

70. Toyotaro Suzumura, Hidemoto Nakada, Satoshi Matsuoka, “GridSpeed: A Web-based Grid Portal Generation Server”, HPCAsia 2004, 2004

71. Toyotaro Suzumura, Hidemoto Nakada, Masayuki Saito, Satoshi Matsuoka, Yoshio Tanaka, Satoshi Sekiguchi, "The Ninf Portal: An Automatic Generation Tool for Grid Portals”, Proceedings of the ACM 2002 Java Grande/ISCOPE Conference, 2002

72. Toyotaro Suzumura, Takayuki Nakagawa, Satoshi Matsuoka, Hidemoto Nakada, Satoshi Sekiguchi . "Are Global Computing Systems Useful ? - Comparison of Client-Server Global Computing Systems Ninf, NetSolve versus CORBA" , Proc. of International Parallel and Distributed Processing Symposium, 2000

Patents

1. TRAFFIC SIMULATION METHOD, PROGRAM, AND SYSTEM

Publication number: 20140297243 Type: Application Filed: March 24, 2014 Publication date: October 2, 2014 Applicant: International Business Machines Corporation Inventor: Toyotaro Suzumura

2. Apparatus and method for supporting model-driven development Patent number: 8826224 Type: Grant Filed: April 16, 2008 Date of Patent: September 2, 2014 Assignee: International Business Machines Corporation Inventors: Takashi Nerome, Yuriko Sawatani, Toyotaro Suzumura, Kaori Fujiwara

3. Offloading filling of template parameters to client from server Publication number: 20130304811 Type: Application Filed: July 19, 2013 Publication date: November 14, 2013 Inventors: Michiaki Tatsubori, Toyotaro Suzumura, Tamiya Onodera

4. Offloading filling of template parameters to client from server Patent number: 8516361 Type: Grant

16

Filed: December 14, 2008 Date of Patent: August 20, 2013 Assignee: International Business Machines Corporation Inventors: Michiaki Tatsubori, Toyotaro Suzumura, Tamiya Onodera

5. Processing strings based on whether the strings are short strings or long strings Patent number: 8443352 Type: Grant Filed: March 31, 2008 Date of Patent: May 14, 2013 Assignee: International Business Machines Corporation Inventors: Michiaki Tatsubori, Akihiko Tozawa, Toyotaro Suzumura, Tamiya Onodera, Scott Ross Trent

6. High-speed web server Patent number: 8352858 Type: Grant Filed: April 15, 2010 Date of Patent: January 8, 2013 Assignee: International Business Machines Corporation Inventors: Tamiya Onodera, Toyotaro Suzumura, Michiaki Tatsubori

7. Apparatus, method, and program that performs syntax parsing on a structured document in the form of electronic data

Patent number: 8181105 Type: Grant Filed: April 3, 2008 Date of Patent: May 15, 2012 Assignee: International Business Machines Corporation Inventors: Toyotaro Suzumura, Michiaki Tatsubori, Naohiko Uramoto

8. Service search system, method, and program Patent number: 8121995 Type: Grant Filed: January 15, 2009 Date of Patent: February 21, 2012 Assignee: International Business Machines Corporation Inventors: Kaori Fujiwara, Toyotaro Suzumura, Masayuki Ioki

9. Dynamically generating web contents Patent number: 8090769 Type: Grant Filed: December 16, 2008 Date of Patent: January 3, 2012 Assignee: International Business Machines Corporation Inventors: Toyotaro Suzumura, Michiaki Tatsubori, Scott Trent, Akihiko Tozawa

10. HIGH-SPEED WEB SERVER

17

Publication number: 20100269034 Type: Application Filed: April 15, 2010 Publication date: October 21, 2010 Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION Inventors: Tamiya Onodera, Toyotaro Suzumura, Michiaki Tatsubori

11. OFFLOADING FILLING OF TEMPLATE PARAMETERS TO CLIENT FROM SERVER Publication number: 20100153484 Type: Application Filed: December 14, 2008 Publication date: June 17, 2010 Inventors: Michiaki Tatsubori, Toyotaro Suzumura, Tamiya Onodera

12. GENERATION APPARATUS, PROGRAM, AND GENERATION METHOD Publication number: 20100107059 Type: Application Filed: September 24, 2009 Publication date: April 29, 2010 Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION Inventors: Toyotaro Suzumura, Michiaki Tatsubori, Akihiko Tozawa

13. Optimizing differential XML processing by leveraging schema and statistics Patent number: 7707491 Type: Grant Filed: December 6, 2006 Date of Patent: April 27, 2010 Assignee: International Business Machines Corporation Inventors: Toyotaro Suzumura, Michiaki Tatsubori, Naohiko Uramoto

14. SERVER FOR DYNAMICALLY GENERATING WEB CONTENTS Publication number: 20090300102 Type: Application Filed: December 16, 2008 Publication date: December 3, 2009 Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION Inventors: TOYOTARO SUZUMURA, MICHIAKI TATSUBORI, SCOTT TRENT, AKIHIKO TOZAWA

15. Processing strings based on whether the strings are short strings or long strings Publication number: 20090249292 Type: Application Filed: March 31, 2008 Publication date: October 1, 2009 Inventors: Michiaki Tatsubori, Akihiko Tozawa, Toyotaro Suzumura, Tamiya Onodera, Scott Ross Trent

16. SERVICE SEARCH SYSTEM, METHOD, AND PROGRAM Publication number: 20090192997

18

Type: Application Filed: January 15, 2009 Publication date: July 30, 2009 Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION Inventors: KAORI FUJIWARA, TOYOTARO SUZUMURA, MASAYUKI IOKI

17. SYSTEMS, METHODS, AND COMPUTER PRODUCTS FOR INFORMATION SHARING USING PERSONALIZED INDEX CACHING

Publication number: 20090157659 Type: Application Filed: July 15, 2008 Publication date: June 18, 2009 Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION Inventors: Fumiko Satoh, Toyotaro Suzumura, Issei Yoshida

18. Systems, methods, and computer products for information sharing using personalized index caching

Patent number: 7539683 Type: Grant Filed: July 15, 2008 Date of Patent: May 26, 2009 Assignee: International Business Machines Corporation Inventors: Fumiko Satoh, Toyotaro Suzumura, Issei Yoshida

19. EFFICIENT XML SCHEMA VALIDATION MECHANISM FOR SIMILAR XML DOCUMENTS Publication number: 20090083294 Type: Application Filed: September 25, 2007 Publication date: March 26, 2009 Inventors: Shudi Gao, Michael Rafael Glavassevich, Neil Graham, Glenn Allen Marcy, Yuhichi Nakamura, Toyotaro Suzumura, Toshiro Takase, Michiaki Tatsubori

20. STRUCTURED DOCUMENT PROCESSING APPARATUS, METHOD AND PROGRAM Publication number: 20080288858 Type: Application Filed: April 3, 2008 Publication date: November 20, 2008 Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION Inventors: Toyotaro Suzumura, Michiaki Tatsubori, Naohiko Uramoto

21. APPARATUS AND METHOD FOR SUPPORTING MODEL-DRIVEN DEVELOPMENT Publication number: 20080263510 Type: Application Filed: April 16, 2008 Publication date: October 23, 2008 Inventors: Takashi Nerome, Yuriko Sawatani, Toyotaro Suzumura, Kaori Fujiwara

22. Systems, methods, and computer products for information sharing using personalized index caching

19

Patent number: 7440952 Type: Grant Filed: December 18, 2007 Date of Patent: October 21, 2008 Assignee: International Business Machines Corporation Inventors: Fumiko Satoh, Toyotaro Suzumura, Issei Yoshida

23. STRUCTURED DOCUMENT PROCESSING APPARATUS, METHOD, AND PROGRAM Publication number: 20070150493 Type: Application Filed: December 6, 2006 Publication date: June 28, 2007 Inventors: Toyotaro Suzumura, Michiaki Tatsubori, Naohiko Uramoto

24. Method, apparatus and computer programs for differential deserialization Publication number: 20070074228 Type: Application Filed: July 12, 2006 Publication date: March 29, 2007 Applicant: International Business Machines Corporation Inventors: Toyotaro Suzumura, Toshiro Takase, Michiaki Tatsubori