About Me

I am currently doing my Ph.D. in Computer Science at Virginia Tech under supervison of Dr. Wu-chun Feng at the Synergy Lab and Dr. Pavan Balaji at Argonne National Laboratory. My research interests include cloud computing, big data analytics for scientific computing, and machine learning. Currently, I am working on the deep learning research on massive scale supercomputers. My research mainly focuses on scalability of I/O in deep learning.


Virginia Tech

Ph.D. Computer Science 2014 - present

King Mongkut’s University of Technology Thonburi (KMUTT)

MEng Computer Engineering (GPA 4.0) 2012 - 2014

King Mongkut’s University of Technology Thonburi (KMUTT)

BEng (Hons) Computer Engineering (GPA 3.84) 2008 - 2012


Recipient of an internship grant to work in Switzerland with CERN

Switzerland December 2013

Winner: Asia Pacific ICT Alliance Award 2013 (APICTA) (Tertiary Student)

Hong Kong November 2013

Winner: The International ICT Innovative Services Contest 2013

Taiwan November 2013

Winner: Thailand ICT Award 2013 (TICTA) (Tertiary Student)

Thailand August 2013

Second runner-up: The Microsoft Imagine Cup World Wide Final 2013 (Innovation Competition)

Russia July 2013

National Winner: The Thailand Microsoft Imagine Cup 2013

Thailand April 2013

Recipient of the KMUTT Diamond Award

For increasing the university visibility and reputation February 2013

Winner: The 15th National Software Contest (NSC)

Thailand February 2013

Recipient of the Thailand Research Fund

Master Research Grants October 2012

Certificate for Academic Excellency (Highest GPA in the class)

KMUTT, Thailand June 2009


Argonne National Laboratory, USA

Research Aide August 2016 - January 2017

  • • Evaluated the state of the art deep learning tools to identify scalability bottlenecks
  • • Developed a prototype of a scalable deep learning framework

Innosoft, Thailand

System analyst and developer July 2011

  • • Gathered customer requirements and write the design specification
  • • Developed software
  • • Validated software

Computer Engineering Dept., KMUTT, Thailand

Research Assistant July 2011

  • • Studied the existing technologies on cloud-based service platforms
  • • Designed an open-service platform for Thai’s SMEs

Institute of High Performance Computing, Agency for Science, Technology and Research (A*Star IHPC), Singapore

Research fellow (internship) Summer 2011

  • • Researched on effective workflow scheduling algorithm
  • • Designed and implemented the cloud-based workflow data analytics platform by using RapidMiner

IBM Thailand, Thailand

Sale engineer (internship) November 2011

  • • Studied and presented the cloud computing technology and IBM cloud solution


Language Skills

  • • Thai (mother tongue)
  • • English (fluent, IELTS level 7.0)

Computer Skills

  • • Full command of Linux operating system (Ubuntu), shell script, and Xen Cloud Platform
  • • Excellence in C, C++, C#, JAVA, SQL, VB.NET, HTML, and PHP programming
  • • Excellence in parallel programming (MPI, Map-Reduce)



Parallel I/O Optimizations for Scalable Deep Learning

Sarunya Pumma, Min Si, Wu-Chun Feng and Pavan Balaji.
In Proceedings of the IEEE International Conference on Parallel and Distributed Systems (ICPADS), Shenzhen, China, Dec 15-17, 2017. [PDF]

Towards Scalable Deep Learning via I/O Analysis and Optimization

Sarunya Pumma, Min Si, Wu-Chun Feng and Pavan Balaji.
In Proceedings of the IEEE International Conference on High Performance Computing and Communications (HPCC), Bangkok, Thailand, Dec 18-20, 2017. [PDF]

PaPar: A Parallel Data Partitioning Framework for Big Data Applications

Hao Wang, Jing Zhang, Da Zhang, Sarunya Pumma, Wu-chun Feng.
In Proceedings of the IEEE International Parallel and Distributed Processing Symposium, Orlando, Florida, May 2017. [PDF]

A runtime estimation framework for ALICE

Sarunya Pumma, Wu-chun Feng, Phond Phunchongharn, Sylvain Chapeland, Tiranee Achalakul.
In Future Generation Computer Systems, 72, 65-77, July 2017. [PDF]


The Design of SkyPACS: a High Performance Mobile Medical Imaging Solution

Tananan Pattanangkur, Sikana Tanupabrungson, Katchaguy Areekijseree, Sarunya Pumma, Tiranee Achalakul.
In GPU Computing and Applications, 2015. [PDF]


Automatic VM Allocation for Scientific Application

Sarunya Pumma, Tiranee Achalakul, Li Xiaorong.
In Proceedings of the Workshop on Scalable Computing for Big Data Analytics (SC-BDA), in conjunction with the 18th IEEE International Conference on Parallel and Distributed Systems (ICPADS), Singapore, December 2012. [PDF]

Design and Analysis of a Cloud-based Epidemic Simulation Framework

Polpat Sukcharoen, Sarunya Pumma, Onpreeya Mongkolsermporn, Tiranee Achalakul, Li Xiaorong.
In Proceedings of the 9th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), Thailand, May 2012. [PDF]
  • Do what you love. Love what you do.

Get In Touch.

Sarunya Pumma
9700 Cass Ave, Lemont, IL, 60439
sarunya (at) vt (dot) edu