Georgia Tech professors and researchers converged on the windy city of Chicago for the 30th Annual IEEE International Parallel and Distributed Processing Symposium (IPDPS), held May 23-27.   

IPDPS is devoted to parallel computing, and School of Computational Science and Engineering (CSE) Chair David Bader and CSE Professor Srinivas Aluru, both former IPDPS program chairs, continued their involvement by serving as steering committee members and program committee members for this year’s event.

Bader gave a keynote address, titled “Massive-scale Streaming Analytics,” during the Graph Algorithms Building Blocks (GABB) workshop. Furthermore, Bader and Aluru also presented new research during the High Performance Computational Biology (HiCOMB) workshop. Associate Professor Richard Vuduc discussed new research and served on two International Workshop on Automatic Performance Tuning (iWAPT) committees.

Ph.D. students Jammula Nagakishore, Indranil Roy, and Vipin Sachdeva released new research as well, contributing to the CSE’s strong graduate student involvement. Additionally, recent CSE Ph.D. graduate Xing Liu (CSE, ’15), a research staff member at IBM T. J. Watson Research Center, presented his latest findings. In all, the College of Computing team presented five papers spanning a variety of topics from algorithmic techniques to reconfigurable computing.

Faculty attending the IPDPS from the College of Computing included (unless otherwise noted, all faculty are CSE):

Leadership

Professor David Bader

• IPDPS Steering Committee Member
• GABB Steering Committee Member
• GABB Program Committee Member
• HiCOMB 2016 Co-Chair

Professor Srinivas Aluru

• IPDPS Steering Committee Member
• IPDPS 2016 Program Committee Member
• HiCOMB 2016 Co-Chair

Professor Edmond Chow

• IPDPS 2016 Program Committee Member

Associate Professor Richard Vuduc

• iWAPT Program Committee Member
• iWAPT Steering Committee Member

Senior Research Scientist Ada Gavrilovska (School of Computer Science)

• IPDPS 2016 Program Committee Member

Senior Research Scientist Jason Riedy

• IPDPS 2016 Program Committee Member

Research Scientist Sharma Thankachan

• HiCOMB 2016 Program Committee Member

Research Scientist Jeff Young

• IPDRM 2016 Program Committee Member

Ph.D. Student Dipanjan Sengupta

• IPDRM 2016 Program Committee Member

Papers

Hybrid Dynamic Trees for Extreme-Resolution 3D Sparse Data Modeling

Mohammad M. Hossain, Thomas Kurfess, and Richard Vuduc (Georgia Institute of Technology, USA); Thomas Tucker (Tucker Innovations, USA)

A Memory and Time Scalable Parallelization of the Reptile Error-Correction Code

V. Sachdeva (IBM Research, USA); David Bader and Srinivas Aluru (Georgia Institute of Technology, USA)

Algorithmic Techniques for Solving Graph Problems on the Automata Processor

Indranil Roy (Micron Technology, Inc., USA); Nagakishore Jammula (Georgia Institute of Technology, USA); Srinivas Aluru (Georgia Institute of Technology, USA and Indian Institute of Technology - Bombay, India)

OpenACC to FPGA: A Framework for Directive-based High-Performance Reconfigurable Computing

Seyong Lee and Jungwon Kim (Oak Ridge National Laboratory, USA); Jeffrey Vetter (Oak Ridge National Laboratory and Georgia Institute of Technology, USA)

High Performance Pattern Matching Using the Automata Processor

Indranil Roy (Micron Technology, Inc., USA); Ankit Srivastava (Georgia Institute of Technology, USA); Marziyeh Nourian and Michela Becchi (University of Missouri - Columbia, USA); Srinivas Aluru (Georgia Institute of Technology, USA and Indian Institute of Technology - Bombay, India)

Workshop Presentations

GABB 2016

Keynote: Massive-scale Streaming Analytics

David A. Bader (Georgia Institute of Technology, USA)

Updating PageRank for Streaming Graphs

Jason Riedy (Georgia Institute of Technology, USA)

HiCOMB 2016

Parallel Data Structures for Indexing Genomic Sequences

Patrick Flick (Georgia Institute of Technology, USA)

Kmerind: A Flexible Parallel Library for K-mer Indexing of Biological Sequences on Distributed Memory Systems

Tony Pan (Georgia Institute of Technology, USA)

HCW 2016

Analyzing the Energy-Efficiency of the Fast Multipole Method Using a DVFS-Aware Energy Model

Jee Choi (IBM T.J. Watson); Richard Vuduc (Georgia Institute of Technology, USA)

IPDRM 2016

GPUShare: Fair-sharing Middleware for GPU Clouds

Anshuman Goswami, Jeffrey Young, Karsten Schwan, Naila Farooqui, Ada Gavrilovska, Matthew Wolf, Greg Eisenhauer (Georgia Institute of Technology, USA)

LSPP 2016

Toward and End-to-End Framework for Modeling, Monitoring, and Anomaly Detection for Scientific Workflows

Anir Mandal, Paul Ruth, and Ilya Baldin (UNC Chapel Hill, USA); Dariusz Krol, Gideon Juve, Rajiv Mayani, Rafael Ferreira da Silva, and Ewa Deelman (USC Information Sciences Institute, USA); Jeremy Meredith, Vickie Lynch, Ben Mayer, and James Wynne III (Oak Ridge National Laboratory, USA); Jeffrey Vetter (Georgia Institute of Technology and Oak Ridge National Laboratory, USA); Mark Blanco, Chris Carothers, and Justin LaPre (Rensselaer Polytechnic Institute, USA); Brian Tierney (Lawrence Berkeley National Laboratory, USA)

ParLearning 2016

A Multi-Platform Evaluation of the Randomized CX Low-rank Matrix Factorization in Spark

Alex Gittens (International Computer Science Institute, USA); Jey Kottalam (University of California, Berkeley, USA); Jiyan Yang (Stanford University, USA); Michael F Ringenburg (Cray Inc., USA); Jatin Chhugani (HiPerform Inc., USA); Evan Racah (Lawrence Berkeley National Laboratory, USA); Mohitdeep Singh (Georgia Institute of Technology, USA); Yushu Yao (LBNL, USA); Curt Fischer, Oliver Ruebel and Benjamin Bowen (Lawrence Berkeley National Laboratory, USA); Norman Lewis (Washington State University, USA); Michael W Mahoney (University of California, Berkeley, USA); Venkat Krishnamurthy (Cray Inc, USA); Prabhat (Lawrence Berkeley National Laboratory, USA)

JSSPP 2016

Choosing Optimal Maintenance Time for Stateless Data-processing Clusters

Zhenyun Zhuang (LinkedIn and Georgia Institute of Technology, USA); Min Shen, Haricharan Ramachandra, and Suja Viswesan (LinkedIn, USA)