Ajay Panyala Scientist High Performance Computing Group Pacific Northwest National Lab Email: ajay.panyala (at) pnnl.gov

Research Interests Compiler optimizations and programming models for High Performance and Parallel Computing. Source-to-source program transformations and analysis, out-of-core algorithms, loop transformations, data layout, power/energy optimizations for modern HPC architectures.

Education Louisiana State University, Baton Rouge Ph.D., Computer Science (Aug 2007 - Aug 2014) Advisors: Dr. Gerald Baumgartner, Dr. J. Ramanujam Jawaharlal Nehru Technological University, Hyderabad, India B.Tech., Computer Science (Aug 2003 - May 2007)

Professional Experience Pacific Northwest National Lab Scientist (Mar 2018 - present) High Performance Computing Group Pacific Northwest National Lab Post Doctorate Research Associate (Oct 2014 - Dec 2017) High Performance Computing Group

Journal Publications 1. Exploring performance and energy tradeoffs for irregular applications: A case study on the Tilera many-core architecture. Ajay Panyala, Daniel Chavarría-Miranda, Joseph B Manzano, Antonino Tumeo, Mahantesh Halappanavar. Journal of Parallel and Distributed Computing (JPDC), June 2017. 2. Algorithms for Balanced Graph Colorings with Applications in Parallel Computing.

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H Lu, M Halappanavar, D Chavarría-Miranda, A Gebremedhin, A Panyala, and A Kalyanaraman. IEEE Transactions on Parallel and Distributed Systems (TPDS), May 2017. 3. Global Transformations for Legacy Parallel Applications via Structural Analysis and Rewriting. Daniel Chavarría-Miranda, Ajay Panyala, Wenjing Ma, Adrian Prantl, Sriram Krishnamoorthy. Journal of Parallel Computing (PARCO), March 2015.

Conference Publications 1. Approximate Computing Techniques for Iterative Graph Algorithms. Ajay Panyala, Omer Subasi, Mahantesh Halappanavar, Ananth Kalyanaraman, Daniel Chavarrı́a-Miranda, Sriram Krishnamoorthy. International Conference on High Performance Computing, Data, and Analytics (HiPC) 2017. 2. Optimizing Irregular Applications for Energy and Performance on the Tilera Many-core Architecture. Daniel Chavarría-Miranda, Ajay Panyala, Mahantesh Halappanavar, Joseph B. Manzano, Antonino Tumeo. Proceedings of the 12th ACM International Conference on Computing Frontiers (CF), May 2015. 3. On the use of term rewriting for performance optimization of legacy HPC Applications. Ajay Panyala, Daniel Chavarría-Miranda, Sriram Krishnamoorthy. International Conference on Parallel Processing (ICPP), September 2012.

Technical Reports COMPOSE-HPC: A Transformational Approach to Exascale. David E. Bernholdt, Benjamin A. Allan, Robert C. Armstrong, Daniel Chavarria-Miranda, Tamara L. Dahlgren, Wael R. Elwasif, Tom Epperly, Samantha S. Foley, Geoffrey C. Hulette, Sriram Krishnamoorthy, Adrian Prantl, Ajay Panyala, Matthew Sottile. Technical Report ORNL/TM-2012/85, Oak Ridge National Laboratory (ORNL), March 2012.

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Workshop Publications Model-Driven Search Based Loop Fusion Optimization for Handwritten Code A Panyala, P. Bhattacharya, G. Baumgartner, J. Ramanujam. Proceedings of the 17th Workshop on Compilers for Parallel Computing (CPC), July 2013.

Workshop Presentations Optimizing Handwritten Tensor Contraction Code: Our Experience. A Panyala, P. Bhattacharya, G. Baumgartner, J. Ramanujam. SIAM Conference on Parallel Processing for Scientific Computing (PP), February 2014.

Technical Referee for Journals International Journal of Parallel Programming (IJPP): 2016, 2017

External Reviewer for Conferences/Workshops IEEE International Parallel and Distributed Processing Symposium (IPDPS): 2016 International Workshop on Accelerators and Hybrid Exascale Systems (AsHES): 2016 ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC): 2016 International Conference on Parallel Processing (ICPP): 2015 IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID): 2015 IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA): 2015

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Ajay Panyala - GitHub

Daniel Chavarría-Miranda, Ajay Panyala, Wenjing Ma, Adrian Prantl,. Sriram Krishnamoorthy. Journal of Parallel Computing (PARCO), March 2015. Conference Publications. 1. Approximate Computing Techniques for Iterative Graph Algo- rithms. Ajay Panyala, Omer Subasi, Mahantesh Halappanavar, Ananth Kalya-.
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