pdsw-DISCS 2016:

1st Joint International Workshop on Parallel Data Storage & Data Intensive Scalable Computing Systems


held in conjunction with SC16

monday, November 14, 2016
Salt Lake City, UT

TiME: 9 am - 6:00 pm

salt palace convention center
LOCATION: Room 155-C
SC WORkshop page

Program Co-Chairs:

Lawrence Berkeley National Laboratory

General Co-Chairs:

Carnegie Mellon University

Texas Tech University

  abstract / agenda / keynote speaker / cfp / submissions / WIP session / committees


  • Everypne please take a moment to give us feedback our workshop. Thanks!
  • Slides from each presentation will be posted soon after the end of the workshop.

keynote speaker

PDSW-DISCS16 is proud to announce that Ion Stoica, UC Berkeley, will be our keynote speaker. He will be talking about Trends and Challenges in Big Data Processing. Please see details here.


Information on scheduling will be added here as the event approaches.

8:55am – 9:00am Welcome & Introduction
9:00am – 10:00am Keynote SpeakerDr. Ion Stoica, UC Berkeley
Trends and Challenges in Big Data Processing
10:00am – 10:30am Morning Break
10:30am – 12:00pm SESSION 1: I/O Insight
Chair: Jay Lofstead, Sandia National Laboratories
  Scientific Workflows at DataWarp-Speed: Accelerated Data-Intensive Science using NERSC's Burst Buffer
*Andrey Ovsyannikov (Lawrence Berkeley National Laboratory)
Melissa Romanus (Rutgers University)
Brian Van Straalen (Lawrence Berkeley National Laboratory)
Gunther H. Weber (Lawrence Berkeley National Laboratory; University of California, Davis)
David Trebotich (Lawrence Berkeley National Laboratory)
Paper | Slides
  Parallel I/O Characterisation Based on Server-Side Performance Counters
*Salem El Sayed (Jülich Supercomputing Centre)
Matthias Bolteny (Institut für Mathematik)
Dirk Pleiter (Jülich Supercomputing Centre)
Wolfgang Frings (Jülich Supercomputing Centre)
Paper | Slides
  Replicating HPC I/O Workloads with Proxy Applications
*James Dickson (University of Warwick)
Steven Wright (University of Warwick)
Satheesh Maheswaran (UK Atomic Weapons Establishment)
Andy Herdman (UK Atomic Weapons Establishment)
Mark C. Miller (Lawrence Livermore National Laboratory)
Stephen Jarvis (University of Warwick)
Paper | Slides
11:45am – 12:00pm WIP SESSION 1
  Use of a New I/O Stack for Extreme-scale Systems in Scientific Applications
Michael Breitenfeld
Quincey Koziol
Neil Fortner
*Jerome Soumagne
Mohamad Chaarawi
Abstract | Slides
  Towards Optimizing Large-Scale Data Transfers with End-to-End Integrity Verification
Si Liu
Eun-Sung Jung
*Rajkumar Kettimuthu
Xian-He Sun
Abstract | Slides
  MarFS Metadata Scaling
Brett Kettering
*David Bonnie
Gary Grider
Hsing-Bung Chen
William Vining
Jeffrey Inman
Abstract | Slides
12:00pm – 1:30pm Lunch (not provided)
1:30pm – 3:00pm SESSION 2: Data Insight
Chair: John Bent, Seagate Government Solutions
  Can Non-Volatile Memory Benefit MapReduce Applications on HPC Clusters?
*Md. Wasi-ur-Rahman (Ohio State University)
Nusrat Sharmin Islam (Ohio State University)
Xiaoyi Lu (Ohio State University)
Dhabaleswar K. (DK) Panda (Ohio State University)
Paper | Slides
  FatMan vs. LittleBoy: Scaling up Linear Algebraic Operations in Scale-out Data Platforms
*Luna Xu (Virginia Tech)
Seung-Hwan Lim (Oak Ridge National Laboratory)
Ali R. Butt (Virginia Tech)
Sreenivas R. Sukumar (Oak Ridge National Laboratory)
Ramakrishnan Kannan
Paper | Slides
  Klimatic: A Virtual Data Lake for Harvesting and Distribution of Geospatial Data
*Tyler J. Skluzacek (University of Chicago)
Kyle Chard (University of Chicago)
Ian Foster (University of Chicago, Argonne National Laboratory)
Paper | Slides
2:45pm – 3:00pm WIP SESSION 2
  Interference-aware Scheduling for Data-processing Frameworks in Container-based Clusters
*Miguel Xavier
Cesar De Rose
Abstract | Slides
  Towards A Scalable, Resilient, and Efficient Data Service for Exascale Computing
Michael Brim
*Tonglin Li
Sarp Oral
Geoffroy Vallee
Feiyi Wang
Scott Atchley
Abstract | Slides
  Mero: Co-Designing an Object Store for Extreme Scale
Nikita Danilov
Nathan Rutman
*Sai Narasimhamurthy
John Bent
Abstract | Slides
3:00pm – 3:30pm Afternoon Break
3:30pm – 6:00pm SESSION 3: Performance and Testing Insight
Chair: Carlos Maltzahn, University of California, Santa Cruz
  Get out of the Way! Applying Compression to Internal Data Structures
*Rob Latham (Argonne National Laboratory)
Matthieu Dorier (Argonne National Laboratory)
Rob Ross (Argonne National Laboratory)
Paper | Slides
  Towards Energy Efficient Data Management in HPC: The Open Ethernet Drive Approach
*Anthony Kougkas (Illinois Institute of Technology)
Anthony Fleck (Illinois Institute of Technology)
Xian-He Sun (Illinois Institute of Technology)
Paper | Slides
  A Generic Framework for Testing Parallel File Systems
Jinrui Cao (New Mexico State University)
Simeng Wang (New Mexico State University)
Dong Dai (Texas Tech University)
*Mai Zheng (New Mexico State University)
Yong Chen (Texas Tech University)
Paper | Slides
  A Bloom Filter Based Scalable Data Integrity Check Tool for Large-scale Dataset
*Sisi Xiong (University of Tennessee Knoxville)
Feiyi Wang (Oak Ridge National Laboratory)
Qing Cao (University of Tennessee Knoxville)
Paper | Slides
Sarp Oral, Oak Ridge National Laboratory
  Exploring Opportunities for Job-temporal File Systems with ADA-FS
Sebastian Oeste
*Michael Kluge
Mehmet Soysal
Achim Streit
Marc-André Vef
André Brinkmann
Abstract | Slides
  Time Taken to Write Data in Parallel on Lustre Follows Extreme Statistics
*Richard Henwood
N. W. Watkins
S.C. Chapman
R. McLay
Abstract | Slides
  Containerizing Byte-Addressable NVM
*Ellis Giles
Abstract | Slides
  Middleware for Earth System Data
*Julian Kunkel
Jakob Luettgau
Bryan Lawrence
Jens Jensen
Giuseppe Congiu
John Readey
Abstract | Slides
  Popper: Practical Reproducible Evaluation of Systems
*Ivo Jimenez
Michael Sevilla
Noah Watkins
Carlos Maltzahn
Jay Lofstead
Kathryn Mohror
Remzi Arpaci-Dusseau
Andrea Arpaci-Dusseau
Abstract | Slides
  Partially-Decompressible Dictionary Based Compression Format for All Flash Array
*Yosuke Oyama
Hiroki Ohtsuji
Jun Kato
Kosuke Suzuki
Mitsuru Sato
Eiji Yoshida.
Abstract | Slides
  Toward an Architecture for mHealth Web Data Choreography
*Deger Cenk Erdil
Saranya Radhakrishnan
Abstract | Slides
  Implementation, Evaluation and Analysis of Block index for ADIOS
*Tzuhsien Wu
Jerry Chou
Norbert Podhorszki
Yuan Tian
Junmin Gu Kesheng Wu
Abstract | Slides
  MPI-IO In-Memory Storage with the Kove XPD
*Julian Kunkel
Eugen Betke
Abstract | Slides
* = speaker


(Find the complete proposal outlining the merger between PDSW and DISCS here.)

We are pleased to announce that the first Joint International Workshop on Parallel Data Storage and Data Intensive Scalable Computing Systems (PDSW-DISCS’16) will be hosted at SC16: The International Conference for High Performance Computing, Networking, Storage and Analysis.  The objective of this one day joint workshop is to combine two overlapping communities and to better promote and stimulate researchers’ interactions to address some of the most critical challenges for scientific data storage, management, devices, and processing infrastructure for both traditional compute intensive simulations and data-intensive high performance computing solutions.  Special attention will be given to issues in which community collaboration can be crucial for problem identification, workload capture, solution interoperability, standards with community buy­-in, and shared tools.

Many scientific problem domains continue to be extremely data intensive. Traditional high performance computing (HPC) systems and the programming models for using them such as MPI were designed from a compute-centric perspective with an emphasis on achieving high floating point computation rates. But processing, memory, and storage technologies have not kept pace and there is a widening performance gap between computation and the data management infrastructure. Hence data management has become the performance bottleneck for a significant number of applications targeting HPC systems.  Concurrently, there are increasing challenges in meeting the growing demand for analyzing experimental and observational data.  In many cases, this is leading new communities to look towards HPC platforms.  In addition, the broader computing space has seen a revolution in new tools and frameworks to support Big Data analysis and machine learning.  

There is a growing need for convergence between these two worlds.  Consequently, the U.S. Congressional Office of Management and Budget has informed the U.S. Department of Energy that new machines beyond the first exascale machines must address both the traditional simulation workloads as well as data intensive applications. This coming convergence prompts integrating these two workshops into a single entity to address the common challenges.

The scope of the proposed joint PDSW-DISCS workshop is summarized as:

  • Scalable storage architectures, archival storage, storage virtualization, emerging storage devices and techniques

  • Performance benchmarking, resource management, and workload studies from production systems including both traditional HPC and data-intensive workloads.

  • Programmability, APIs, and fault tolerance of storage systems

  • Parallel file systems, metadata management, and complex data management, object and key-value storage, and other emerging data storage/retrieval techniques

  • Programming models and frameworks for data intensive computing including extensions to traditional and nontraditional programming models, asynchronous multi-task programming models, or to data intensive programming models

  • Techniques for data integrity, availability and reliability especially

  • Productivity tools for data intensive computing, data mining and knowledge discovery

  • Application or optimization of emerging “big data” frameworks towards scientific computing and analysis

  • Techniques and architectures to enable cloud and container-based models for scientific computing and analysis

  • Techniques for integrating compute into a complex memory and storage hierarchy facilitating in situ and in transit data processing

  • Data filtering/compressing/reduction techniques that maintain sufficient scientific validity for large scale compute-intensive workloads

  • Tools and techniques for managing data movement among compute and data intensive components both solely within the computational infrastructure as well as incorporating the memory/storage hierarchy



CALL FOR PAPERS POSTER - download, print, and hang one up at your office / department!

The Parallel Data Storage Workshop holds a peer reviewed competitive process for selecting short papers. Submit a not previously published short paper of up to 5 pages, not less than 10 point font and not including references, in a PDF file as instructed on the workshop web site. Submitted papers will be reviewed under the supervision of the workshop program committee. Submissions should indicate authors and affiliations. Final papers must not be longer than 5 pages (excluding references). Selected papers and associated talk slides will be made available on the workshop web site; the papers will also be published in the digital library of the IEEE or ACM.

Full text of Call for Papers.



Paper Submissions: NOW CLOSED

DEADLINE EXTENDED! Paper (in pdf format) due Sunday, Sept. 11, 2016, 11:59PM AoE
Notification: Friday, Sept. 30, 2016
Camera ready and copyright forms due: Friday, Oct. 7, 2016
Slides due before workshop: Sunday, Nov. 13, 2016, 5:00 pm PDT
* Submissions must be in the IEEE format (see http://www.ieee.org/conferences_events/conferences/publishing/templates.html).

Paper Submission Details:

The PDSW-DISCS Workshop holds a peer reviewed competitive process for selecting short papers. Submit a not previously published short paper of up to 5 pages, not less than 10 point font and not including references, in a PDF file as instructed on the workshop web site. Submitted papers will be reviewed under the supervision of the workshop program committee. Submissions should indicate authors and affiliations. Papers must not be longer than 5 pages (excluding references). Selected papers and associated talk slides will be made available on the workshop web site; the papers will also be published in the digital libraries of the IEEE and ACM.

Work-in-progress (WIP) Submissions

wip Submissions: NOW CLOSED

There will also be a WIP session at the workshop, where presenters give 5-minute brief talks on their on-going work, with fresh problems/solutions, but may not be mature or complete yet for paper submission. A 1-page abstract is required.

WIP Submission Deadline: Tuesday, Nov. 1, 2016
WIP Notification: Monday, Nov. 7, 2016


Please be aware that all attendees to the workshop, both speakers and participants, will have to pay the SC16 registration fee. Workshops are no longer included as part of the technical program registration. With a paid Technical Program registration, workshop fees are $50 for Members/Non-Members and $25 for Students. A workshop only fee is available for $200 for Members/Non-Members and $100 for Students.

To attend the workshop, please register through the Supercomputing '16 registration page. Registration opens in July.


  • Shane Canon, Lawrence Berkeley National Lab, Program Co-Chair
  • Dean Hildebrand, IBM Research, Program Co-Chair
  • Jialin Liu, Lawrence Berkeley National Lab, Publications Chair
  • Gabriel Antoniu, INRIA
  • John Bent, Seagate Government Solutions
  • André Brinkmann, Universität Mainz
  • Ali R. Butt, Virginia Tech
  • Pietro Cicotti, SDSC
  • Toni Cortes, Universitat Politècnica de Catalunya
  • Andreas Dilger, Intel
  • Shuibing He, Wuhan University
  • Quincey Koziol, Lawrence Berkeley National Laboratories
  • Julian Kunkel, DKRZ
  • John Leidel, Texas Tech University
  • Jay Lofstead, Sandia National Laboratories
  • Carlos Maltzahn, University of California, Santa Cruz
  • Suzanne McIntosh, NYU
  • Sarp Oral, Oak Ridge National Laboratories
  • Ioan Raicu, Illinois Institute of Technology
  • Robert Ross, Argonne National Laboratory
  • Frank Schmuck, IBM Research
  • Douglas Thain, University of Notre Dame
  • Brent Welch, Google
  • Meghan Wingate McClelland, Seagate
  • Seung Woo Son, University of Massachusetts-Lowell
  • Ming Zhao, Arizona State University


  • John Bent, Seagate Government Solutions 
  • Ali R. Butt, Virginia Tech
  • Yong Chen, Texas Tech University, General Co-Chair
  • Evan J. Felix, Pacific Northwest National Laboratory
  • Garth A. Gibson, Carnegie Mellon University, General Co-Chair
  • William D. Gropp, University of Illinois at Urbana-Champaign
  • Gary Grider, Los Alamos National Laboratory
  • Dean Hildebrand, IBM Research
  • Dries Kimpe, KCG, USA
  • Jay Lofstead, Sandia National Laboratories
  • Darrell Long, University of California, Santa Cruz 
  • Xiaosong Ma, Qatar Computing Research Institute, Qatar
  • Carlos Maltzahn, University of California, Santa Cruz
  • Robert Ross, Argonne National Laboratory
  • Philip C. Roth, Oak Ridge National Laboratory 
  • John Shalf, National Energy Research Scientific Computing Center, 
    Lawrence Berkeley National Laboratory 
  • Xian-He Sun, Illinois Institute of Technology
  • Rajeev Thakur, Argonne National Laboratory
  • Lee Ward, Sandia National Laboratories