Publications

• Sunita Chandrasekaran and Guido Juckeland. OpenACC for Programmers: Concepts and Strategies. Co-Edited Book, Pearson Addison-Wesley Professional, 1st ed. ISBN-13: 978-0134694283, November 2017.
• Sunita Chandrasekaran, Rengan Xu, Barbara Chapman. “Using OpenACC for Stencil and Feldkamp Algorithms.” Chapter in Parallel Programming with OpenACC, ed. Rob Farber. Morgan Kaufmann. ISBN-13: 978-0124103979, November 2016.
• Barbara Chapman, Deepak Eachempati, Sunita Chandrasekaran. “Chapter on OpenMP.” In Programming Models for Parallel Computing, ed. Pavan Balaji, MIT Press. ISBN-13: 978-0262528818, 2015.

• †Daria Blinova, Gayathri Emuru, Rakesh Emuru, †Kushagradheer Shridheer Srivastava, Mina Rulis, Sunita Chandrasekaran (co-author), Benjamin Bagozzi. “Linked Multi-Model Data on Russian Domestic and Foreign Policy Speeches.” UNDER REVIEW, Scientific Data, Nature. Dataset: Harvard Dataverse, DOI: 10.7910/DVN/SGI0VK (2026).
• Qile Wang, Abhishek Karwankar, Shukria Muhammadi, Srikanth K. Perumalla, Abhin Suresh, Sunita Chandrasekaran (co-author), Kenneth E. Barner, Matthew L. Mauriello. “AI4OSN: A Usability Study of a Human-Centered Agentic AI Platform for Online Social Network Research.” UNDER REVIEW, ACM Transactions on Social Computing (2026).
• Arthi Jayaraman, Sunita Chandrasekaran (co-author). “Interdisciplinary Polymer and Data Science Graduate Training by Bringing Industry Relevant Problems into the Classroom.” Macromolecules Vol.58(16), 8569–8571 (2025). DOI: 10.1021/acs.macromol.5c02109
• ‡Christian Munley, *Aaron Jarmusch, Sunita Chandrasekaran. “LLM4VV: Developing LLM-driven testsuite for compiler validation.” Future Generation Computer Systems Vol.160, 1–13 (2024). DOI: 10.1016/j.future.2024.05.034 — Spring 2026 Editor’s Choice Paper.
• *Vineeth Gutta, Satish Ranganathan Ganakammal, Sara Jones, Matthew Beyers, Sunita Chandrasekaran. “UNNT: A Novel Utility for Comparing Neural Net and Tree-based Models.” PLOS Computational Biology Vol.20(4), e1011504 (2024). DOI: 10.1371/journal.pcbi.1011504
• Klaus Steiniger, Rene Widera, Sergei Bastrakov, Michael Bussmann, Sunita Chandrasekaran (co-author), Benjamin Hernandez, ‡Kristina Holsapple, Axel Huebl, Guido Juckeland, Jeffrey Kelling, Matt Leinhauser, Richard Pausch, David Rogers, Ulrich Schramm, Jeff Young, Alexander Debus. “EZ: An Efficient, Charge Conserving Current Deposition Algorithm for Electromagnetic Particle-in-Cell Simulations.” Computer Physics Communications Vol.291, 108849 (2023). DOI: 10.1016/j.cpc.2023.108849
• *Mauricio H. Ferrato, Adam G. Marsh, Karl R. Franke, Benjamin J. Huang, E. Anders Kolb, Deborah DeRyckere, Douglas K. Graham, Sunita Chandrasekaran, Erin L. Crowgey. “Machine learning classifier approaches for predicting response to RTK-Type-III inhibitors demonstrates high accuracy using transcriptomic signatures and ex vivo data.” Bioinformatics Advances Vol.3(1), vbad034 (2023). DOI: 10.1093/bioadv/vbad034
• Matt Stack, Paul Macklin, Robert Searles, Sunita Chandrasekaran. “OpenACC Acceleration of an Agent-Based Biological Simulation Framework.” IEEE Computing in Science and Engineering Vol.25(3), 53–63 (2023). DOI: 10.1109/MCSE.2022.3226602
• *Matt Leinhauser, Rene Widera, Sergi Bastrakov, Alex Debus, Michael Bussmann, Sunita Chandrasekaran. “Metrics and Design of an Instruction Roofline Model for AMD GPUs.” ACM Transactions on Parallel Computing Vol.9(1), 1–14 (2022). DOI: 10.1145/3505285

Prior to 2021

• Eric Wright, ‡Mauricio Ferrato, Alex Bryer, Robert Searles, Juan Perilla, Sunita Chandrasekaran. “Accelerating Prediction of Chemical Shift of Protein Structures on GPUs.” PLOS Computational Biology Vol.16(5), e1007877 (2020). DOI: 10.1371/journal.pcbi.1007877
• *Robert Searles, Sunita Chandrasekaran, Wayne Joubert, Oscar Hernandez. “MPI+OpenACC: Accelerating Radiation Transport Mini-application, Minisweep, on Heterogeneous Systems.” Computer Physics Communications Vol.236, 176–187 (2019). DOI: 10.1016/j.cpc.2018.10.007
• *Millad Ghane, Sunita Chandrasekaran, Margaret S. Cheung. “Pointerchain: Tracing pointers to their roots — A case study in molecular dynamics simulations.” Parallel Computing Vol.85, 190–203 (2019). DOI: 10.1016/j.parco.2019.04.007
• †Jose Manuel Monsalve Diaz, ‡Kyle Friedline, Swaroop Pophale, Oscar Hernandez, David Bernholdt, Sunita Chandrasekaran. “Analysis of OpenMP 4.5 Offloading in Implementations: Correctness and Overhead.” Parallel Computing Vol.89, 102546 (2019). DOI: 10.1016/j.parco.2019.102546
• Michael Wolfe, Jungwon Kim, Xiaonan Tian, *Rengan Xu, Barbara Chapman, Sunita Chandrasekaran. “The OpenACC Data Model: Preliminary Study on Its Major Challenges and Implementations.” Parallel Computing Vol.78, 15–27 (2018). DOI: 10.1016/j.parco.2018.07.003
• Sunita Chandrasekaran, Guido Juckeland, Meifeng Lin, et al. “Best Practices in Running Collaborative GPU Hackathons.” IEEE Computing in Science and Engineering Vol.20(4), 95–106 (2018). DOI: 10.1109/MCSE.2018.042781332
• *Robert Searles, *Stephen Herbein, Travis Johnston, Michela Taufer, Sunita Chandrasekaran. “Creating a Portable, High-Level Graph Analytics Framework for Compute and Data-Intensive Applications.” International Journal of High Performance Computing and Networking Vol.13(1), 105–118 (2017). DOI: 10.1504/IJHPCN.2017.10007922
• *Xiaonan Tian, Rengan Xu, Yonghong Yan, Sunita Chandrasekaran, Deepak Eachempati, Barbara Chapman. “Compiler Transformation of Nested Loops for General Purpose GPUs.” Concurrency and Computation: Practice and Experience Vol.28(2), 537–556 (2016). DOI: 10.1002/cpe.3648
• *Rengan Xu, Sunita Chandrasekaran, Barbara Chapman. “Multi-GPU Support on Shared Memory System using Directive-based Programming Model.” Scientific Programming Vol.2015, Article ID 621730 (2015). DOI: 10.1155/2015/621730
• Sunita Chandrasekaran, Shilpa Shanbagh, Ramkumar Jayaraman, HuiYan Cheah, Douglas Maskell. “C2FPGA: A Dependency-Timing Graph Design Methodology.” Journal of Parallel and Distributed Computing Vol.73(10), 1417–1429 (2013). DOI: 10.1016/j.jpdc.2012.09.001

At the time of the two Concurrency/Scientific Programming papers above, Sunita Chandrasekaran was a postdoc at the University of Houston mentoring PhD students (Wang, Xu, Sun, Tian), advised by Barbara Chapman; her role was designing experiments and testing compiler transformations for nested loops in the OpenUH compiler.

CORE (ICORE) Ranking: A* (Flagship, ~10–20% acceptance), A (Excellent, ~20–25%), B (Good, well-regarded).

• *Aaron Jarmusch and Sunita Chandrasekaran. “Microbenchmarking NVIDIA’s Blackwell Architecture: An In-depth Architectural Analysis.” IPDPS 2026, Milan, Italy. DOI: 10.1109/IPDPS2026.XXXXX (CORE: A). ArXiv: 2512.02189
• *Aaron Jarmusch and Sunita Chandrasekaran. “Microbenchmark-Driven Analytical Performance Modeling Across Modern GPU Architectures.” UNDER REVIEW. ArXiv: 2605.04178
• *Aaron Jarmusch, ‡Connor Vitz, Sunita Chandrasekaran. “Execution-Centric Characterization of FP8 Matrix Cores, Asynchronous Execution, and Structured Sparsity on AMD MI300A.” UNDER REVIEW. ArXiv: 2602.10262
• ‡Zach Sollenberger, ‡Rahul Patel, ‡Saieda Ali Zada, Sunita Chandrasekaran. “LLM4VV: Evaluating Cutting-Edge LLMs for Generation and Evaluation of Directive-Based Parallel Programming Model Compiler Tests.” HiPC 2025, Hyderabad, India, pp. 333–342. DOI: 10.1109/HiPC66333.2025.00041 (CORE: A)
• Jeffrey Kelling, Vicente Bolea, Michael Bussmann, Ankush Checkervarty, Alexander Debus, Jan Ebert, Greg Eisenhauer, Vineeth Gutta, Stefan Kesselheim, Scott Klasky, Vedhas Pandit, Richard Pausch, Norbert Podhorszki, Franz Pöschel, David Rogers, Jeyhun Rustamov, Steve Schmerler, Ulrich Schramm, Klaus Steiniger, René Widera, Anna Willmann, Sunita Chandrasekaran. “The Artificial Scientist: In-Transit Machine Learning of Plasma Simulations.” IPDPS 2025, Milano, Italy, pp. 407–418. DOI: 10.1109/IPDPS64566.2025.00043 — Best Paper Nomination (CORE: A)
• Greg Eisenhauer, Norbert Podhorszki, Ana Gainaru, Scott Klasky, Philip E. Davis, Manish Parashar, Matthew Wolf, Eric Suchtya, Erick Fredj, Vicente Bolea, Franz Pöschel, Klaus Steiniger, Michael Bussmann, Richard Pausch, Sunita Chandrasekaran. “Streaming Data in HPC Workflows Using ADIOS.” Cray User Group (CUG) 2024, Perth, Australia, pp. 31–43.
• Scott Atchley, Chris Zimmer, John R. Lange, David E. Bernholdt, Verónica G. Melesse Vergara, Thomas Beck, Michael J. Brim, Reuben Budiardja, Sunita Chandrasekaran (co-author), Markus Eisenbach, Thomas Evans, Matthew Ezell, Nicholas Frontiere, Antigoni Georgiadou, Joe Glenski, Philipp Grete, Steven Hamilton, John Holmen, Axel Huebl, Daniel Jacobson, Wayne Joubert, Kim McMahon, Elia Merzari, Stan G. Moore, Andrew Myers, Stephen Nichols, Sarp Oral, et al. “Frontier: Exploring Exascale.” SC23, pp. 1–16. DOI: 10.1145/3581784.3607089 — Best Paper Nomination (CORE: A*)
• Felix Meyer, Benjamin Hernandez, Richard Pausch, René Widera, David Groß, Sergei Bastrakov, Axel Huebl, Guido Juckeland, Jeffrey Kelling, *Matt Leinhauser, David Rogers, Ulrich Schramm, Klaus Steiniger, Stefan Gumhold, Jeff Young, Michael Bussmann, Sunita Chandrasekaran, Alexander Debus. “Hardware-Agnostic Interactive Exascale In Situ Visualization of Particle-In-Cell Simulations.” PASC 2023, pp. 1–14. DOI: 10.1145/3592979.3593415 (CORE: B)
• *Eric Wright, Johannes Doerfert, Shilei Tian, Barbara Chapman, Sunita Chandrasekaran. “Implementing OpenMP’s SIMD Directive in LLVM’s GPU Runtime.” ICPP 2023, pp. 173–182. DOI: 10.1145/3605573.3605613 (CORE: A)
• Holger Brunst, Sunita Chandrasekaran, Florina Ciorba, Nick Hagerty, Robert Henschel, Guido Juckeland, Junjie Li, Veronica G. Melesse Vergara, Sandra Wienke, ‡Miguel Zavala. “First Experiences in Performance Benchmarking with the New SPEChpc 2021 Suites.” CCGrid 2022, pp. 675–684. DOI: 10.1109/CCGrid54584.2022.00077 (CORE: A)
• *Eric Wright, Cena Miller, Damien Przybylski, Matthias Rempel, Shiquan Su, Supreeth Suresh, Rich Loft, Sunita Chandrasekaran. “Refactoring the MPS/University of Chicago Radiative MHD (MURaM) Model for GPU/CPU Performance Portability Using OpenACC Directives.” PASC 2021, pp. 1–12. (CORE: B)

Prior to 2021

• ‡Joshua Hoke Davis, Tao Gao, Sunita Chandrasekaran (co-author), Heike Jagode, Anthony Danalis, Jack J. Dongarra, Pavan Balaji, Michela Taufer. “Characterization of Power Usage and Performance in Data-Intensive Applications Using MapReduce over MPI.” ParCO 2019, pp. 287–298. DOI: 10.3233/APC200053 (CORE: B)
• *Robert Searles, Sunita Chandrasekaran, Oscar Hernandez, Wayne Joubert. “Abstractions and Directives for Adapting Wavefront Algorithms to Future Architectures.” PASC 2018, pp. 1–10. DOI: 10.1145/3218176.3218228
• Jose Monsalve Diaz, Swaroop Pophale, Kyle Friedline, Oscar Hernandez, David E. Bernholdt, Sunita Chandrasekaran. “Evaluating Support for OpenMP Offload Features.” ICPP 2018, pp. 1–10. DOI: 10.1145/3229710.3229717 (CORE: A)
• *Millad Ghane, Sunita Chandrasekaran (co-author), Robert Searles, Margaret S. Cheung, Oscar Hernandez. “Path Forward for Softwarization to Tackle Evolving Hardware.” SPIE Vol. 10652 (2018). DOI: 10.1117/12.2304813
• *Cheng Wang, Sunita Chandrasekaran, Barbara Chapman. “CusFFT: A High-Performance Sparse Fast Fourier Transform Algorithm on GPUs.” IPDPS 2016, Chicago, IL, pp. 963–972. DOI: 10.1109/IPDPS.2016.95 (CORE: A)
• *Rengan Xu, Sunita Chandrasekaran, Barbara Chapman. “An Analytical Model-based Auto-tuning Framework for Locality-aware Loop Scheduling.” ISC 2016, Frankfurt, Germany, pp. 3–20. DOI: 10.1007/978-3-319-41321-1_1 (CORE: B)
• *Cheng Wang, Sunita Chandrasekaran, Barbara Chapman, Jim Holt. “Portable Mapping of OpenMP to Multicore Embedded Systems Using MCA APIs.” LCTES 2013, Seattle, WA, pp. 153–162. DOI: 10.1145/2465554.2465573 (CORE: B)
• *Peng Sun, Sunita Chandrasekaran, Barbara Chapman. “Deploying OpenMP Task Parallelism on Multicore Embedded Systems with MCA Task APIs.” HPCC 2015, pp. 843–847. DOI: 10.1109/HPCC-CSS-ICESS.2015.88 (CORE: B)
• *Xiaonan Tian, *Rengan Xu, Yonghong Yan, Zhifeng Yun, Sunita Chandrasekaran, Barbara Chapman. “Compiling A High-Level Directive-based Programming Model for Accelerators.” LCPC 2013, San Jose, CA, pp. 105–120. DOI: 10.1007/978-3-319-09967-5_6 (CORE: C)
• Kevin A. Huck, Oscar Hernandez, Van Bui, Sunita Chandrasekaran, Barbara Chapman, Allen D. Malony, Lois Curfman McInnes, Boyana Norris. “Capturing Performance Knowledge for Automated Analysis.” SC 2008, Austin, TX, pp. 1–10. DOI: 10.1145/1413370.1413418 (CORE: A*)

At the time of the CusFFT, ISC, LCTES, HPCC, and LCPC papers above, Sunita Chandrasekaran was a postdoc at the University of Houston mentoring PhD students (Wang, Xu, Sun, Tian), advised by Barbara Chapman; her role was designing experiments and testing compiler transformations for nested loops in the OpenUH compiler.

• *Zachary Sollenberger, *Jay Patel, *Christian Munley, *Aaron Jarmusch, Sunita Chandrasekaran. “LLM4VV: Exploring LLM-as-a-Judge for Validation and Verification Testsuites.” WACCPD 2024 @ SC24, Atlanta, GA, pp. 1885–1893. DOI: 10.1109/SCW63240.2024.00238 (Acceptance rate 45%)
• *Aaron Jarmusch, §Felipe Cabarcas, Swaroop Pophale, *Andrew Kallai, Johannes Doerfert, Luke Peyralans, Seyong Lee, Joel Denny, Sunita Chandrasekaran. “CI/CD Efforts for Validation, Verification and Benchmarking OpenMP Implementations.” IWOMP 2024, Perth, WA, Australia, LNCS Vol. 15195, pp. 111–125. DOI: 10.1007/978-3-031-72567-8_8 (Acceptance rate 87.5%)
• Wael Elwasif, William Godoy, Nick Hagerty, J. Austin Harris, Oscar Hernandez, Balint Joo, Paul Kent, Damien Lebrun-Grandie, Elijah Maccarthy, Veronica Melesse Vergara, Bronson Messer, Ross Miller, Sarp Oral, Sergei Bastrakov, Michael Bussmann, Alexander Debus, Klaus Steiniger, Jan Stephan, Rene Widera, Spencer Bryngelson, Henry Le Berre, Anand Radhakrishnan, Jeffrey Young, Sunita Chandrasekaran, Florina Ciorba, Osman Simsek, Kate Clark, Filippo Spiga, Jeff Hammond, John E. Stone, David Hardy, Sebastian Keller, Jean-Guillaume Piccinali, Christian Trott. “Application Experiences on a GPU-Accelerated Arm-based HPC Testbed.” HPC Asia 2023 Workshops, Singapore, pp. 35–49. DOI: 10.1145/3578345.3578363 (CORE: B)
• *Eric Wright, Cena Brown, Damien Przybylski, Matthias Rempel, Supreeth Suresh, Sunita Chandrasekaran. “Analysis of MURaM, a Solar Physics Application, for Scalability, Performance and Portability.” WACCPD 2023 @ SC23, Denver, CO, pp. 1929–1938. DOI: 10.1145/3624062.3624606 (Acceptance rate 44%)
• †Thomas Huber, Swaroop Pophale, *Nolan Baker, *Michael Carr, Nikhil Rao, *Jaydon Reap, *Kristina Holsapple, *Joshua Hoke Davis, Tobias Burnus, Seyong Lee, David E. Bernholdt, Sunita Chandrasekaran. “ECP SOLLVE: Validation and Verification Testsuite Status Update and Compiler Insight for OpenMP.” P3HPC 2022 @ SC22, Dallas, TX, pp. 10–21. DOI: 10.1109/P3HPC56579.2022.00010 (Acceptance rate 41%)
• *Aaron M. Jarmusch, Alana Liu, Christian Munley, David Horta, Vaishnavi Ravichandran, Joel Denny, Sunita Chandrasekaran. “Analysis of Validating and Verifying OpenACC Compilers 3.0 and Above.” WACCPD 2022 @ SC22, Dallas, TX, pp. 1–10. DOI: 10.1109/WACCPD56842.2022.00006 (Acceptance rate 47%)
• Jeffrey Kelling, Sergei Bastrakov, Alexander Debus, Thomas Kluge, *Matt Leinhauser, Richard Pausch, Klaus Steiniger, Jan Stephan, Rene Widera, Jeffrey Young, Michael Bussmann, Sunita Chandrasekaran, Guido Juckeland. “Challenges Porting a C++ Template-Metaprogramming Abstraction Layer to Directive-based Offloading.” WACCPD 2021 @ SC21, St. Louis, MO, pp. 46–55. DOI: 10.1109/WACCPD54688.2021.00010 (Acceptance rate 46%)

Prior to 2021

• *Joshua Hoke Davis, Christopher Daley, Swaroop Pophale, †Thomas Huber, Sunita Chandrasekaran, Nicholas Wright. “Performance Assessment of OpenMP Compilers Targeting NVIDIA V100 GPUs.” WACCPD 2020 @ SC20, pp. 1–10. DOI: 10.1109/WACCPD51911.2020.00006 (Acceptance rate 43%)
• *Millad Ghane, Sunita Chandrasekaran, Margaret S. Cheung. “Towards a Portable Hierarchical View of Distributed Shared Memory Systems: Challenges and Solutions.” PMAM 2020 @ PPoPP’20, pp. 1–10. DOI: 10.1145/3380536.3380542 (Acceptance rate 53%)
• *Millad Ghane, Sunita Chandrasekaran, Margaret S. Cheung. “Gecko: Hierarchical Distributed View of Heterogeneous Shared Memory Architectures.” PMAM 2019 @ PPoPP’19, pp. 21–30. DOI: 10.1145/3303084.3309489 (Acceptance rate 58.8%)
• †Jose Manuel Monsalve Diaz, Swaroop Pophale, Oscar Hernandez, David E. Bernholdt, Sunita Chandrasekaran. “OpenMP 4.5 Validation and Verification Suite for Device Offload.” IWOMP 2018, LNCS Vol. 11128, pp. 82–95. DOI: 10.1007/978-3-319-98521-3_6
• *Kyle Friedline, Sunita Chandrasekaran, Graham Lopez, Oscar Hernandez. “OpenACC 2.5 Validation Testsuite Targeting Multiple Architectures.” ISC P3MA 2017, LNCS Vol. 10524, pp. 557–575. DOI: 10.1007/978-3-319-67630-2_41 (Acceptance rate 58.8%)
• Sergio Pena, Sunita Chandrasekaran, Lori Pollock. “Exploring Translation of OpenMP to OpenACC 2.5: Lessons Learned.” AsHES 2017 @ IPDPS, pp. 673–682. DOI: 10.1109/IPDPSW.2017.155 (CORE: A, parent venue)
• Michael Wolfe, Seyong Lee, Jungwon Kim, *Xiaonan Tian, *Rengan Xu, Sunita Chandrasekaran, Barbara Chapman. “Implementing the OpenACC Data Model.” AsHES 2017 @ IPDPS, pp. 662–672. DOI: 10.1109/IPDPSW.2017.156 (CORE: A, parent venue)
• *Robert Searles, Stephen Herbein, Sunita Chandrasekaran. “A Portable, High-Level Graph Analytics Framework Targeting Distributed, Heterogeneous Systems.” WACCPD 2016 @ SC16, pp. 79–88. DOI: 10.1109/WACCPD.2016.012 (Acceptance rate 40%)

Refereed conference & workshop publications before tenure (before Fall 2015)

• Peng Sun, Sunita Chandrasekaran, Barbara Chapman. “OpenMP-MCA: Leveraging Multiprocessor Embedded Systems using Industry Standards.” PLC 2015 @ IPDPS, Hyderabad, India, pp. 679–688. DOI: 10.1109/IPDPSW.2015.13 (CORE: A, parent venue)
• Guido Juckeland, William Brantley, Sunita Chandrasekaran, et al. “SPEC ACCEL — A Standard Application Suite for Measuring Hardware Accelerator Performance.” PMBS 2014 @ SC14, LNCS Vol. 8966, pp. 46–67. DOI: 10.1007/978-3-319-17248-4_3 (Acceptance rate 26%)
• Rengan Xu, Maxime Hugues, Henri Calandra, Sunita Chandrasekaran, Barbara Chapman. “Accelerating Kirchhoff Migration on GPU using Directives.” WACCPD 2014 @ SC14, pp. 37–46. DOI: 10.1109/WACCPD.2014.10 (CORE: A*, parent venue)
• Rengan Xu, Cheng Wang, Sunita Chandrasekaran, Barbara Chapman. “An OpenACC 1.0 Validation Suite.” MTAAP 2014 @ IPDPS, pp. 1407–1416. DOI: 10.1109/IPDPSW.2014.155 (CORE: A, parent venue)
• Rengan Xu, Xiaonan Tian, Yonghong Yan, Sunita Chandrasekaran, Barbara Chapman. “Reduction Operations in Parallel Loops for GPGPUs.” PMAM 2014 @ PPoPP, pp. 10:10–10:20. DOI: 10.1145/2560683.2560693 (CORE: A, parent venue)
• Rengan Xu, Xiaonan Tian, Sunita Chandrasekaran, Yonghong Yan, Barbara Chapman. “NAS Parallel Benchmarks on GPGPUs using a Directive-based Programming Model.” LCPC 2014, LNCS Vol. 8967, pp. 67–81. DOI: 10.1007/978-3-319-17473-0_5 (CORE: C)
• Cheng Wang, Mauricio Araya, Sunita Chandrasekaran, Barbara Chapman, Detlef Hohl. “Parallel Sparse FFT.” IA3 2013 @ SC13, pp. 10:1–10:8. DOI: 10.1145/2535753.2535764 (CORE: A*, parent venue)
• Sayan Ghosh, Sunita Chandrasekaran, Barbara Chapman. “Statistical Modeling of Power/Energy of Scientific Kernels on a Multi-GPU System.” PMP 2013 @ IGCC, pp. 1–6. DOI: 10.1109/IGCC.2013.6604513
• Cheng Wang, Sunita Chandrasekaran, Barbara Chapman, Jim Holt. “libEOMP: A Portable OpenMP Runtime Library Based on MCA APIs for Embedded Systems.” PMAM 2013 @ PPoPP, pp. 83–92. DOI: 10.1145/2442992.2443003 (CORE: A, parent venue)
• Cheng Wang, Sunita Chandrasekaran, Barbara Chapman. “An OpenMP 3.1 Validation Testsuite.” IWOMP 2012, LNCS Vol. 7312, pp. 237–249. DOI: 10.1007/978-3-642-30961-8_18
• Rengan Xu, Sunita Chandrasekaran, Barbara Chapman, Christoph F. Eick. “Directive-based Programming Models for Scientific Applications — A Comparison.” WOLFHPC 2012 @ SC12, pp. 1–9. DOI: 10.1109/WOLFHPC.2012.8 (CORE: A*, parent venue)
• Lei Huang, Eric Stotzer, Hangjun Yi, Barbara Chapman, Sunita Chandrasekaran. “Parallelizing Ultrasound Image Processing using OpenMP on Multicore Embedded Systems.” GHTCE 2012, pp. 131–138. DOI: 10.1109/GHTCE.2012.6490139
• Sayan Ghosh, Sunita Chandrasekaran, Barbara Chapman. “Energy Analysis of Parallel Scientific Kernels on Multiple GPUs.” SAAHPC 2012, pp. 54–63. DOI: 10.1109/SAAHPC.2012.18
• Sunita Chandrasekaran, Shilpa Shanbagh, Douglas L. Maskell. “A Dependency Graph based Methodology for Parallelizing HLL Applications on FPGA.” FPGA 2010, p. 283. DOI: 10.1145/1723112.1723169 (CORE: A)
• Sunita Chandrasekaran, Oscar Hernandez, Douglas Maskell, Barbara Chapman, Van Bui. “Compilation and Parallelization Techniques with Tool Support to Realize Sequence Alignment Algorithm on FPGA and Multicore.” HiPC 2007, Goa, India, pp. 493–505. DOI: 10.1007/978-3-540-77220-0_46 (CORE: A)
• Suyang Zhu, Sunita Chandrasekaran, Peng Sun, Barbara Chapman, Tobias Schuele, Marcus Winter. “Exploring Task Parallelism for Heterogeneous Systems Using Multicore Task Management API.” Euro-Par ROME Workshop 2016, LNCS Vol. 10104, pp. 607–708. DOI: 10.1007/978-3-319-58943-5_49 (CORE: A, parent venue)

• Mauricio Ferrato, Erin Crowgey, Sunita Chandrasekaran. “Developing and Accelerating Predictive Models for Predicting Relapse of Pediatric Oncology Patients using Smart Cyberinfrastructure.” By-invitation NSF Workshop: Developing a Roadmap towards the Next Generation of Smart Cyberinfrastructure, Seattle, Feb 2020.
• Millad Ghane, Sunita Chandrasekaran, Margaret S. Cheung. “Assessing Performance Implications of Deep Copy Operations via Microbenchmarking.” ArXiv preprint arXiv:1906.01128, June 2019.
• Sunita Chandrasekaran. “Extreme Heterogeneity for Sn Transport Codes.” By-invitation Big Data and Extreme-Scale Computing (BDEC) Meeting, Indiana University, November 2018.
• Sunita Chandrasekaran. “Development of a Parallel Algorithm for Whole Genome Alignment for Rapid Delivery of Personalized Genomics.” By-invitation BDEC Meeting, Indiana University, November 2018.
• Ritu Arora, Xiaosong Li, Bonnie Hurwitz, Daniel Fay, Dhabaleswar K. Panda, Edward Valeev, Shaowen Wang, Shirley Moore, Sunita Chandrasekaran (Steering Committee Member), Ting Cao. “Future Directions of the Cyberinfrastructure for Sustained Scientific Innovation (CSSI) Program.” Report submitted to NSF, April 2020. arxiv.org/pdf/2010.15584.pdf
• Robert Henschel, Junjie Li, Rudolf Eigenmann, Sunita Chandrasekaran. “Explore True Performance Using Application Benchmark for the Next Generation HPC Systems: First NSF EAGER SPEC HPG Workshop Report.” September 2019. DOI: 10.5967/jmkd-6p64