Curriculum Vitae: E. Jason Riedy

Table of Contents

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Contact Information

Current Employment

School of Computational Science, College of Computing, Georgia Institute of Technology
Senior Research Scientist


Research Experience

2017 – present
The CRNCH Rogues Gallery: A part of the Center for Research into Novel Computing Hierarchies (CRNCH), the Rogues Gallery gathers novel and unusual hardware so academic researchers can explore new ideas leveraging these odd-ball architectures of the possible future.
2017 – present
Evaluating memory-centric architectures for high performance data analysis: Combining architecture and algorithms to achieve high performance on architectures like the Emu Technology platform, where memory operations are moved to be local. Focuses on streaming graph analysis and sparse tensor decomposition.
2017 – present
SuperSTARLU: Developing logical primitives for advanced memory systems (3D stacked, hybrid memory cube) in support of unsymmetric sparse matrix factorization.
2016 – present
High Performance Data Analytics (HPDA): High-performance data analysis for streaming graphs.
2015 – present
IEEE-754 revision (floating-point arithmetic): Operations to support extended precision and reproducible linear algebra.
2014 – 2016
Idaho Bailiff: High-performance data analysis for streaming graphs.
2013 – present
NSF XScala: High-performance kernel development, curation, and modeling for accelerators.
2012 – 2018
DARPA GRATEFUL: Graph analysis optimizing power and efficiency. Under the DARPA Power Efficiency Revolution for Embedded Computing Technologies (PERFECT) program.
2010 – 2014
STING: Spatio-Temporal Interaction Networks and Graphs An open-source dynamic graph package for Intel platforms.
2010 – 2013
Evaluation of the IBM PERCS and Cray Cascade HPCS architectures.
2009 – 2013
CASS-MT: Massively parallel graph analysis (537M node, 8.6B edge), threaded architectures, streaming data analysis and error modeling.
2002 – 2009
LAPACK, ScaLAPACK, and XBLAS (dense linear algebra): Extra-precise linear system refinement algorithms, eigenvalue routines, and optimization.
1999 – 2009
SuperLU (sparse linear algebra): Parallel combinatorial preprocessing, numerical stability analysis, iterative solver preconditioning.
2001 – 2006
IEEE-754 revision (floating-point arithmetic): Programming language interactions, exceptional behavior, decimal formats and arithmetic.
1996 – 1999
Image Algebra (image analysis): SIMD parallel optimization, edge detection, geometric hashing.

Technical Experience

(To be honest, this section cannot keep up.)

2011 – present
Development and support for a high-performance shared memory community detection package for massive graphs.
2010 – 2014
Defining the Graph500 benchmark and providing the reference implementations for sequential and shared memory platforms (OpenMP, Cray XMT).
2009 – present
Development of STINGER, a framework for analyzing massive graphs with streaming input on both OpenMP platforms and the Cray XMT.
2009 – 2013
Support and porting for GraphCT, a massive graph characterization toolkit.
2009 – present
CASS-MT project: Development of STINGER, a framework for analyzing massive graphs with streaming input on both OpenMP platforms and the Cray XMT. Support and porting of GraphCT, a massive graph characterization toolkit, and STINGER, a streaming graph analysis framework.
2002 – 2009
Sca/LAPACK project: Development of coding standards, integration of C routines, multiplatform testing and debugging, code and design review.
1994 – 1999
Systems administration: Maintenance of servers and file systems for CISE Department, Univ. of Florida, including performance tuning, troubleshooting, file system backups, and end-user support.
Visualization: Animations of molecular dynamics simulations.

Teaching Experience

Fall 2015 – present
Teaching/advising Bee-Snap, a Vertically Integrated Project collecting and analyzing big data about bee-flower interactions on the Georgia Tech campus and beyond to inform property owners and policy makers about how land use can support pollinator health. With Jennifer Leavey in Biology. "Thank a Teacher" award in fall 2017. Sixteen current undergraduates, some continuing for multiple years, and twenty-four previous students. Internal link: (Previously also with Bistra Dilkina and Polo Chau in CSE.)
Fall 2014 – May 2016
Advising of a Masters thesis into trade-offs between community quality and change size when adapting to streaming data. Student: Pushkar Godbolé. Title: Agglomerative Clustering for Community Detection in Dynamic Graphs. (joined Yelp)
Summer 2014
Advising of two undergraduate CRUISE students in graph analysis projects in projects on sparse matrix - sparse vector products for graph analysis and identifying key members in graph communities.
Spring 2013, Fall 2013
Advising of Masters level research project in social network data acquisition and analysis.
Fall 2012
Guest lectures in CSE8803-MGA, Georgia Tech's special topics class in massive graph analysis. Topics include streaming graph analysis, parallel community detection, and experiment design.
Spring, Fall 2010
Guest lectures in CSE6140, Georgia Tech's parallel algorithms and applications class. Topics include floating-point arithmetic, parallel linear algebra, and parallel programming environments.
Spring 2010
Shared advising of Masters level research project in seeded community detection.
Fall 2008
Adjunct faculty in mathematics at Virginia Intermont College. Teaching Concepts of Modern Mathematics I (focused on elementary education majors) and Discrete Mathematics I (required mathematics class for most majors). Constructed the programs from only the required textbook.
Fall 2006
Mentor for Intel Undergraduate Research program.
Fall 2006, Spring 2007
Mentor for Intel Undergraduate Research program. Introduced undergraduates into our research group on both mathematical and technical levels.
Spring 2000, 2004
Assistant for Applications of Parallel Computing. Multidisciplinary, graduate level class focused on introducing scientists to practical aspects of high-performance computers, tools, and programming.

Students Supervised

Awards, Recognition, and Honors

  • Georgia Tech College of Computing Outstanding Research Scientist, 2017
  • Georgia Tech "Thank a Teacher" award, fall 2017
  • Georgia Tech Research Teaching Fellow, 2016-2017
  • Best paper award, IEEE High Performance Extreme Computing Conference, 2012
  • The 10th DIMACS Implementation Challenge's Mix and Mix Pareto challenges winner, 2012
  • Institute for Data and High Performance Computing Fellowship, 2010-2011


(By its nature, this section always will be a bit out of date.)

Refereed Journals

Book Chapters

Invited Presentations

Conference Proceedings

Technical Reports

  • Jeffrey Young, Eric Hein, Srinivas Eswar, Patrick Lavin, Jiajia Li, Jason Riedy, Richard Vuduc, and Tom Conte. A Microbenchmark Characterization of the Emu Chick. Technical report, September 2018arXiv:1809.07696. (bib).
  • Will Powell, Jason Riedy, and Jeffrey S. Young. Wrangling Rogues: Managing Experimental Post-Moore Architectures. Technical report, August 2018arXiv:1808.06334. (bib).
  • Marat Dukhan, Richard Vuduc, and Jason Riedy. Wanted: Floating-Point Add Round-off Error instruction. Technical report, 20161603.00491. (bib).
  • Lawrence B. Holder, Rajmonda Caceres, David F. Gleich, Jason Riedy, Maleq Khan, Nitesh V. Chawla, Ravi Kumar, Yinghui Wu, Christine Klymko, Tina Eliassi-Rad, and Aditya Prakash. Current and Future Challenges in Mining Large Networks: Report on the Second SDM Workshop on Mining Networks and Graphs. SIGKDD Explorations Newsletter, 18 (1): 39–45, August 2016. ISSN 1931-0145. DOI 10.1145/2980765.2980770. (bib).
  • Shel Swenson, Yogesh Simmhan, Viktor Prasanna, Manish Parashar, Jason Riedy, David Bader, and Richard Vuduc. Sustainable Software Development for Next-Gen Sequencing (NGS) Bioinformatics on Emerging Platforms. Technical report, 20131309.1828. (bib).
  • Jason Riedy, David A. Bader, Karl Jiang, Pushkar Pande, and Richa Sharma. Detecting Communities from Given Seeds in Social Networks. Technical Report GT-CSE-11-01, February 2011. (bib).
  • IEEE Standard for Floating-Point Arithmetic. IEEE Std 754-2008, New York, NY, August 2008. DOI 10.1109/IEEESTD.2008.4610935. (committee member and contributor). (bib).
  • James W. Demmel, Mark Frederick Hoemmen, Yozo Hida, and E. Jason Riedy. Non-Negative Diagonals and High Performance on Low-Profile Matrices from Householder \(QR\). LAPACK Working Note 203, May 2008. Also issued as UCB/EECS-2008-76; modified from SISC version. (bib).
  • James W. Demmel, Yozo Hida, Xiaoye S. Li, and E. Jason Riedy. Extra-precise iterative refinement for overdetermined least squares problems. LAPACK Working Note 188, May 2007. Also issued as UCB/EECS-2007-77; version accepted for TOMS. (bib).
  • James W. Demmel, Jack Dongarra, Beresford Parlett, W. Kahan, Ming Gu, David Bindel, Yozo Hida, Xiaoye S. Li, Osni A. Marques, E. Jason Riedy, Christof Vömel, Julien Langou, Piotr Luszczek, Jakub Kurzak, Alfredo Buttari, Julie Langou, and Stanimire Tomov. Prospectus for the Next LAPACK and ScaLAPACK Libraries. LAPACK Working Note 181, February 2007. Also issued as UT-CS-07-592. (bib).
  • Osni A. Marques, E. Jason Riedy, and Christof Vömel. Benefits of IEEE-754 Features in Modern Symmetric Tridiagonal Eigensolvers. LAPACK Working Note 172, September 2005. Also issued as UCB//CSD-05-1414; expanded from SISC version. (bib).
  • James W. Demmel, Yozo Hida, W. Kahan, Xiaoye S. Li, Sonil Mukherjee, and E. Jason Riedy. Error bounds from extra-precise iterative refinement. LAPACK Working Note 165, February 2005. Also issued as UCB//CSD-05-1414, UT-CS-05-547, and LBNL-56965; expanded from TOMS version. (bib).


Other Publications


  • David A. Bader (PI), Jason Riedy, and Haesun Park. High-Performance Data Analytics (HPDA) Research Topics, January 2018, (grant). (bib).
  • E. Jason Riedy (PI), David A. Bader, and Thomas M. Conte. Evaluating Memory-centric Architectures for High Performance Data Analysis, August 2017, (grant). (bib).
  • Jeffrey S. Young (PI), Jason Riedy, and Richard Vuduc. CDS&E: SuperSTARLU - STacked, AcceleRated Algorithms for Sparse Linear Systems, August 2017, (grant). (bib).
  • David A. Bader (PI), Jack Dongarra (PI), Jason Riedy, Richard Vuduc, and Piotr Luszczek. Collaborative Research: EMBRACE: Evolvable Methods for Benchmarking Realism through Application and Community Engagement, September 2015, (grant). (bib).
  • David A. Bader (PI GT), E. Jason Riedy (coPI GT), Rich Vudic (coPI GT), and Viktor Prasanna (PI USC). SI2-SSI: Collaborative: The XScala Project: A Community Repository for Model-Driven Design and Tuning of Data-Intensive Applications for Extreme-Scale Accelerator-Based Systems (NSF ACI-1339745), October 2013, (grant). (bib).
  • David A. Bader (PI) and E. Jason Riedy (coPI). GRATEFUL: Graph Analysis Tackling power EFficiency, Uncertainty, and Locality. coPI for DARPA award under the Power Efficiency Revolution for Embedded Computing Technologies (PERFECT) program, August 2012, (grant). (bib).
  • David A. Bader (PI) and E. Jason Riedy (coPI). Benchmarking the IBM PERCS and Cray CASCADE architectures. coPI for DARPA award, June 2011, (grant). (bib).
  • Viktor Prasanna (PI USC), David A. Bader (PI GT), Manish Parashar (PI Rutgers), Jason Riedy (coPI GT), Rich Vuduc (coPI GT), Yogesh Simmhan (coPI USC), and Shantenu Jha (coPI Rutgers). Collaborative Research: Software Infrastructure for Accelerating Grand Challenge Science with Future Computing Platforms. coPI for NSF award under the Software Institutes program, October 2012, (grant). (bib).
  • David A. Bader and E. Jason Riedy. Oracle: Multithreaded Algorithms. Grant for two Oracle X4470 servers with four processors each and 0.5TiB and 1.0TiB of memory, April 2012, (equipment grant). (bib).
  • E. Jason Riedy. Evaluating PGAS scientific graph analysis codes on the Gemini interconnect. Department of Energy NERSC Initiative for Scientific Exploration, June 2011, (computing time grant). (bib).
  • E. Jason Riedy and Logan Moon. Teaching Massive Data Analysis and Manycore Computing. Georgia Institute of Technology, Technology Fee Proposal, December 2010, (equipment grant). (bib).
  • David A. Bader and E. Jason Riedy. STING: Spatio-Temporal Interaction Networks and Graphs; An open-source dynamic graph package for Intel platforms. Intel RFP on Parallel Algorithms in Non-Numeric Computing, April 2010, (grant). (bib).
  • David A. Bader (PI) and E. Jason Riedy. Dynamic Graph Data Structures in X10. IBM X10 Innovation Award, December 2009, (grant). (bib).

Nontechnical Writing

External Publication Lists

Lists at various external bibliography services:

Professional Societies

Professional Service

  • Standardization committees:
    • IEEE 754-201x revision committee member.
    • IEEE 754-2008 revision committee member, website and email archive maintenance.
  • Program committee member for:
    • The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC) 2019
    • IEEE International Parallel & Distributed Processing Symposium (IPDPS) 2013, 2016-2018
    • First Workshop on High Performance Graph Data Mining and Machine Learning (HPGDML) 2017
    • First Workshop on the Intersection of Graph Algorithms and Machine Learning (GRAML) 2017
    • Workshop on High Performance Graph Data Management and Processing (HPGDMP) 2016
    • Workshop on Irregular Applications: Architectures and Algorithms (IA3) 2016, 2017
    • High Performance Graph Processing 2016
    • International Conference on Parallel Processing (ICPP) 2015
    • Graph Data Management Experiences and Systems (GRADES) 2015
    • Architecture, Languages, Compilation and Hardware support for Emerging ManYcore systems (ALCHEMY) 2015, 2017
    • Second SDM Workshop on Mining Networks and Graphs: A Big Data Analytic Challenge 2015
    • Graph Data Management Experiences and Systems (GRADES) 2014
    • 8th Workshop on Multithreaded Architectures and Applications (MTAAP) 2014
    • IEEE International Conference on High Performance Computing (HiPC) 2013, 2017, 2018
  • Referee/technical reviewer for (partial list):
    • ACM Journal of Experimental Algorithmics (JEA)
    • ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP)
    • ACM Transactions on Architecture and Code Optimization (TACO)
    • ACM Transactions on Knowledge Discovery from Data (TKDD)
    • ACM Transactions on Mathematical Software (TOMS)
    • ACM/IEEE International Conference on Grid Computing (GRID)
    • Algorithms and Data Structures Symposium (WADS)
    • Circlet Press
    • Computer Journal
    • 10th DIMACS Implementation Challenge
    • European Symposium on Algorithms (ESA)
    • IBM Journal of Research and Development
    • IEEE Cluster
    • IEEE International Parallel and Distributed Processing Symposium (IPDPS)
    • IEEE International Symposium on Computer Arithmetic (Arith)
    • IEEE Transactions on Computers
    • IEEE Transactions on Intelligent Systems and Technology
    • IEEE Transactions on Knowledge and Data Engineering
    • IEEE Transactions on Parallel and Distributed Systems (TPDS)
    • Innovating Parallel Computing (INPAR)
    • International Conference for High Performance Computing, Networking, Storage and Analysis (SC)
    • International Journal of High Performance Computing (IJHPC)
    • International Symposium on Code Generation and Optimization (CGO)
    • International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)
    • International Symposium on Distributed Computing (DISC)
    • International Symposium on Experimental Algorithms (SEA)
    • International Workshop on Accelerators and Hybrid Exascale Systems (AsHES)
    • Journal of Parallel and Distributed Computing (JPDC)
    • Journal of Systems and Software
    • O'Reilly
    • Parallel Computing
    • SIAM Journal on Matrix Analysis and Applications (SIMAX)
    • SIAM/ACM Algorithm Engineering and Experiments (ALENEX)

Skill Keywords

(Hillariously out of date. Always.)

C, Fortran, C++, Perl, Python, Lisp, R, Octave (Matlab), UPC, Chapel, Julia, SQL, LAPACK.
Parallel styles/APIs
MPI, OpenMP, pthreads, shmem, UPC/PGAS, PAMI, LAPI, ScaLAPACK/BLACS.
autoconf, automake, cmake, Bourne shell, bash, SQLite, Emacs, rdfproc, and pretty much everything else, too.
Debian and Fedora GNU/Linux on x86, x86-64, Power; Solaris on x86, UltraSPARC; AIX on Power.
System Administration
Debian and Fedora GNU/Linux, RHEL, Solaris.
Contributions/bug fixes
In GNU Octave, GNU Emacs, Linux kernel, cmake, R, git, and others.

I support and contribute to freedom in software and network services.