Georgia Tech’s Leading High-Performance Computing Scientists Showcase Research Highlights at Supercomputing 2018

Georgia Tech high-performance computing (HPC) experts are gathered in Dallas this week to take part in the HPC community’s largest annual event — the International Conference for High Performance Computing, Networking, Storage, and Analysis — commonly referred to as Supercomputing. This year’s conference, SC’18, opened Sunday at the Kay Bailey Hutchison Convention Center Dallas and runs through Nov. 16.

“Georgia Tech researchers are presenting 23 separate events this week, including four technical paper presentations, several workshops, panels, and even a doctoral showcase with CSE [School of Computational Science and Engineering] Ph.D. student Patrick Flick,” said Center for High Performance Computing Director and CSE Professor Rich Vuduc.

One of the papers being presented, HiCOO: Hierarchical Storage of Sparse Tensors, by CSE recent graduate Jiajia Li and CSE Associate Professors Vuduc and Jimeng Sun was nominated as one of the five best student papers of 288 submissions in this year’s program.

Attendees can also stop by the Georgia Tech booth (#1217) to talk with faculty and students, take a moment to watch the live feed of fish from the Georgia Aquarium, and view additional Georgia Tech HPC research with the research slide deck. Swag items are also available, including Superheroes of Supercomputing Cards and Georgia Tech-branded bags.

The complete Georgia Tech SC’18 proceedings, projects, and research slides can be viewed here.

See below for a list of Georgia Tech events at SC’18 (broken down by event type):


  • Hot Topics Discussion II: Thriving at Work
    Lorna Rivera, Lucy Nowell, Carissa Holohan
  • A Preliminary Study of Compiler Transformations for Graph Applications on the Emu System
    AUTHOR/PRESENTERS: Prasanth Chatarasi, Vivek Sarkar
  • A One Year Retrospective on a MOOC in Parallel, Concurrent, and Distributed Programming in Java
    Vivek Sarkar, Max Grossman, Zoran Budimlic, Shams Imam
  • Shortest Path and Neighborhood Subgraph Extraction on a Spiking Memristive Neuromorphic Implementation
    Catherine Schuman, Kathleen Hamilton, Tiffany Mintz, Md Musabbir Adnan, Bon Woong Ku, Sung-Kyu Lim, Garrett S. Rose
  • Automated Parallel Data Processing Engine with Application to Large-Scale Feature Extraction
    Xin Xing, Bin Dong, Jonathan Ajo-Franklin, Kesheng Wu
  • A Fast and Simple Approach to Merge and Merge Sorting Using Wide Vector Instructions
    Alex Watkins, Oded Green
  • A Unified Runtime for PGAS and Event-Driven Programming
    Sri Raj Paul, Kun Chen, Akihiro Hayashi, Max Grossman, Vivek Sarkar
  • A Study of OpenMP Device Offloading in LLVM: Correctness and Consistency
    Lechen Yu

Birds of a Feather:

  • 17th Graph500 List
    Richard Murphy, David Bader, Peter Kogge, Andrew Lumsdaine, Anton Korzh
  • Strategies for Inclusive and Scalable HPC Outreach and Education
    Julie Mullen, Weronika Filinger, Tom Maiden, Nicholas Brown, Lorna Rivera, John Urbanic, Karina Nunez, Bryan Johnston, Karina Pesatova, Martin Quinson
  • Advanced Architecture Testbeds: A Catalyst for Co-design Collaborations
    Kevin Barker, Jeffrey Young, Alice Koniges, Jeffrey Vetter, James Laros
  • HPC Graph Toolkits and GraphBLAS Forum
    José Moreira (IBM), Antonino Tumeo (PNNL), Aydin Buluç (LBNL), Mahantesh Halappanavar (PNNL), John Feo (PNNL), David Bader
  • An Update on the Next-Generation BLAS Proposal
    Piotr Luszczek, Jack Dongarra, Jason Riedy, Greg Henry, James Demmel, Mark Gates, Xiaoye S. Li, Ping Tak P. Tang
  • Workloads and Benchmarks for System Acquisition
    Neil Bright, Laura Brown, Henry Neeman, Alex Younts


  • Optimizing High Performance Distributed Memory Parallel Hash Tables for DNA k-mer Counting
    Tony C. Pan, Sanchit Misra, Srinivas Aluru
  • HiCOO: Hierarchical Storage of Sparse Tensors
    Jiajia Li, Jimeng Sun, Rich Vuduc
  • Accelerating Quantum Chemistry with Vectorized and Batched Integrals
    Hua Huang, Edmond Chow
  • Detecting MPI Usage Anomalies via Partial Program Symbolic Execution
    Fangke Ye, Jisheng Zhao, Vivek Sarkar
  • Poster: Modeling Single-Source Shortest Path Algorithm Dynamics to Control Performance and Power Tradeoffs
    Sara Karamati, Jeffrey Young, Rich Vuduc


  • Runtime for Exascale and Beyond: Convergence or Divergence?
    Marc Snir, Vivek Sarkar, Pavan Balaji, Laxmikant Kale, Sean Treichler, Hartmut Kaiser, Raymond Namyst
  • Convergence between HPC and Big Data: The Day After Tomorrow
    Bilel Hadri, Sadaf Alam, Katie Antypas, David Bader, Dan Reed, Rio Yokota
  • Students@SC: Making the Best of Your HPC Education
    Rebecca Hartman, Elisa Heymann, Jesmin Jahan Tithi, Rich Vuduc, Kenneth Weiss, Xinghui Zhao

Doctoral Showcase

  • Parallel and Scalable Combinatorial String and Graph Algorithms on Distributed Memory Systems
    Patrick Flick, Srinivas Aluru

Core Research Areas:

  • Data Engineering and Science
  • Electronics and Nanotechnology
  • National Security
  • Public Service, Leadership, and Policy
  • Systems

David A. Bader
David A. Bader
Distinguished Professor and Director of the Institute for Data Science

David A. Bader is a Distinguished Professor in the Department of Computer Science at New Jersey Institute of Technology.