DataSys: Data-Intensive Distributed Systems LaboratoryData-Intensive Distributed Systems Laboratory

Illinois Institute of Technology
Department of Computer Science

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5th Workshop on Many-Task Computing on Grids and Supercomputers (MTAGS) 2012

Co-located with Supercomputing/SC 2012
Salt Lake City -- November 12th, 2012

Workshop Program

The workshop features a keynote talk by Dr. Laxmikant (Sanjay) Kale (UIUC) and three awards, Petascale Challenge (Zhao Zhang, UChicago), Cloud Challenge (Dr. Judy Qiu, IndianaU), and Biggest Impact (Dr. Alexandru Iosup, TUDelft). For more information on these speakers, click here. For the program in PDF format, click here.

 For a chance to win a Kindle Fire HD tablet, click here (or complete the information form). To attend, please register.

Time Title Authors Affiliation Links
9:00AM Opening Statements Ioan Raicu
Yong Zhao
Ian Foster
Justin Wozniak
9:10AM Keynote -- Adaptive Runtime Systems meet needs of many task computing Laxmikant V Kale UIUC Slides
10:10AM Break      
  Session I -- Middleware (Chair Reagan Moore, UNC)
10:30AM Invited Talk -- Petascale Challenge Award
Data Management for Parallel Scripting
Zhao Zhang UChicago Slides
11:00AM A Scalable Master-Worker Architecture for PaaS Clouds Vibhor Aggarwal
Shubhashis Sengupta
Vibhu Saujanya Sharma
Aravindan Santharam
Accenture Slides
11:30AM HOG:Distributed Hadoop MapReduce on the Grid Chen He
Derek Weitzel
David Swanson
Ying Lu
UNL Slides
12:00PM Lunch      
  Session II -- MapReduce (Chair Daniel S. Katz, NSF)
1:30PM Invited Talk -- Biggest Impact Award
IaaS Cloud Benchmarking: Approaches, Challenges, and Experience
Alexandru Iosup TUDelft Slides
2:00PM Best Paper Winner
Resource Management for Dynamic MapReduce Clusters in Multicluster Systems
Bogdan Ghit
Nezih Yigitbasi
Dick Epema
TUDelft Slides
2:30PM A Hybrid Scheduling Approach for Scalable Heterogeneous Hadoop Systems Aysan Rasooli
Douglas Down
McMaster Slides
3:00PM Break      
Session III -- Applications (Chair Yong Chen, TTU)
3:30PM Invited Talk -- Cloud Challenge Award
Portable Data Mining on Azure and HPC Platforms
Judy Qiu IndianaU Slides
4:00PM Best Paper Nominee
Community Accessible Datastore of High-Throughput Calculations: Experiences from the Materials Project
Dan Gunter
Shreyas Cholia
Anubhav Jain
Michael Kocher
Kristin Persson
Lavanya Ramakrishnan
Shyue Ping Ong
Gerbrand Ceder
4:30PM A Comparative Study of Data Processing Approaches for Text Processing Workflows Ting Chen
Kenjiro Taura
UTokyo Slides
5:00PM Software-as-a-Service: The iPlant Foundation API Rion Dooley
Matthew Vaughn
Dan Stanzione
Steve Terry
Edwin Skidmore
5:30PM Best Paper Award => Resource Management for Dynamic MapReduce Clusters in Multicluster Systems
Attendee Prize Giveaway -- Win a Kindle Fire HD Tablet

Closing Statements


Invited speakers biographies:


Professor Laxmikant Kale is the director of the Parallel Programming Laboratory and a Professor of Computer Science at the University of Illinois at Urbana-Champaign. Prof. Kale has been working on various aspects of parallel computing, with a focus on enhancing performance and productivity via adaptive runtime systems, and with the belief that only interdisciplinary research involving multiple CSE and other applications can bring back well-honed abstractions into Computer Science that will have a long-term impact on the state-of-art. His collaborations include the widely used Gordon-Bell award winning (SC'2002) biomolecular simulation program NAMD, and other collaborations on computational cosmology, quantum chemistry, rocket simulation, space-time meshes, and other unstructured mesh applications. He takes pride in his group's success in distributing and supporting software embodying his research ideas, including Charm++, Adaptive MPI and the BigSimframework. He and his team recently won the HPC Challenge award at Supercomputing 2011, for their entry based on Charm++. L. V. Kale received the B.Tech degree in Electronics Engineering from Benares Hindu University, Varanasi, India in 1977, and a M.E. degree in Computer Science from Indian Institute of Science in Bangalore, India, in 1979. He received a Ph.D. in computer science in from State University of New York, Stony Brook, in 1985. He worked as a scientist at the Tata Institute of Fundamental Research from 1979 to 1981. He joined the faculty of the University of Illinois at Urbana-Champaign as an Assistant Professor in 1985, where he is currently employed as a Professor. Prof. Kale is a fellow of the IEEE.  

Invited Speakers

Photo of Judy  QiuDr. Judy Qiu is an Assistant Professor in the School of Informatics and Computing at Indiana University. Her research interests are on data-intensive computing at the intersection of Cloud and multicore technologies with an emphasis on life science applications using MapReduce and traditional parallel and distributed computing approaches. Dr. Qiu leads the SALSA project in the Pervasive Technology Institute at Indiana University. Data intensive science, Cloud computing and Multicore computing are converging and will revolutionize next generation of computing in architectural design and programming challenges. They enable the pipeline: data becomes information becomes knowledge becomes wisdom.  


Alex IosupDr. Alexandru Iosup received his Ph.D. in Computer Science in 2009 from the Delft University of Technology (TU Delft), the Netherlands. He is currently an Assistant Professor with the Parallel and Distributed Systems Group at TU Delft. He was a visiting scholar at U. Dortmund, U.Wisconsin-Madison, U. Innsbruck, and U.California-Berkeley in 2004, 2006, 2008, and 2010, respectively. In 2011 he received a Dutch NWO/STW Veni grant (the Dutch equivalent of the US NSF CAREER.) His research interests are in the area of distributed computing; keywords: cloud computing, grid computing, peer-to-peer systems, scientific computing, massively multiplayer online games, scheduling, scalability, reliability, performance evaluation, and workload characterization. Dr. Iosup is the author of over 50 scientific publications and has received several awards and distinctions, including best paper awards at IEEE CCGrid 2010, Euro-Par 2009, and IEEE P2P 2006. He is the co-founder of the Grid Workloads, the Peer-to-Peer Trace, and the Failure Trace Archives, which provide open access to workload and resource operation traces from large-scale distributed computing environments. He is currently working on cloud resource management for e-Science and consumer workloads.


Zhao ZhangZhao Zhang is a PhD candidate in the Distributed Systems Laboratory in the Department of Computer Science at University of Chicago, under the guidance of Prof. Ian Foster. His research interests are in supercomputers, grid computing, and cloud computing. His research focus is on supercomputing data management. He received his master degree from the Department of Computer Science at the University of Chicago in 2007. His bachelor degree is in Software Engineering from Beijing University of Posts and Telecommunications in 2006.