Sunita Chandrasekaran

104 papers A 5B 3C 1Misc 2Journal 42Unranked 43

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Execution-Centric Characterization of FP8 Matrix Cores, Asynchronous Execution, and Structured Sparsity on AMD MI300A. CoRR Aaron Jarmusch, Connor Vitz, Sunita Chandrasekaran
2025	J	`jnl`	Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks. CoRR Aaron Jarmusch, Nathan Graddon, Sunita Chandrasekaran
2025	—	`conf`	Dissecting the NVIDIA RTX Blackwell Architecture with Microbenchmarks. HiPCW Aaron Jarmusch, Nathan Graddon, Sunita Chandrasekaran
2025	J	`jnl`	LLM4VV: Evaluating Cutting-Edge LLMs for Generation and Evaluation of Directive-Based Parallel Programming Model Compiler Tests. CoRR Zachariah Sollenberger, Rahul Patel, Saieda Ali Zada, Sunita Chandrasekaran
2025	Misc	`conf`	LLM4VV:: Evaluating Cutting-Edge LLMs for Generation and Evaluation of Directive-Based Parallel Programming Model Compiler Tests. HiPC Zachariah Sollenberger, Rahul Patel, Saieda Ali Zada, Sunita Chandrasekaran
2025	J	`jnl`	Microbenchmarking NVIDIA's Blackwell Architecture: An in-depth Architectural Analysis. CoRR Aaron Jarmusch, Sunita Chandrasekaran
2025	J	`jnl`	The Artificial Scientist - in-transit Machine Learning of Plasma Simulations. CoRR Jeffrey Kelling, Vicente Bolea, Michael Bussmann, Ankush Checkervarty, Alexander Debus, Jan Ebert, Greg Eisenhauer, Vineeth Gutta, Stefan Kesselheim, Scott Klasky, Richard Pausch, Norbert Podhorszki, Franz Pöschel, David Rogers, Jeyhun Rustamov, Steve Schmerler, Ulrich Schramm, Klaus Steiniger, René Widera, Anna Willmann, Sunita Chandrasekaran
2025	A	`conf`	The Artificial Scientist: in-Transit Machine Learning of Plasma Simulations. IPDPS 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
2024	—	`conf`	CI/CD Efforts for Validation, Verification and Benchmarking OpenMP Implementations. IWOMP Aaron Jarmusch, Felipe Cabarcas, Swaroop Pophale, Andrew Kallai, Johannes Doerfert, Luke Peyralans, Seyong Lee, Joel E. Denny, Sunita Chandrasekaran
2024	J	`jnl`	CI/CD Efforts for Validation, Verification and Benchmarking OpenMP Implementations. CoRR Aaron Jarmusch, Felipe Cabarcas, Swaroop Pophale, Andrew Kallai, Johannes Doerfert, Luke Peyralans, Seyong Lee, Joel E. Denny, Sunita Chandrasekaran
2024	J	`jnl`	LLM4VV: Developing LLM-driven testsuite for compiler validation. Future Gener. Comput. Syst. Christian Munley, Aaron Jarmusch, Sunita Chandrasekaran
2024	—	`conf`	LLM4VV: Exploring LLM-as-a-Judge for Validation and Verification Testsuites. SC Workshops Zachariah Sollenberger, Jay Patel, Christian Munley, Aaron Jarmusch, Sunita Chandrasekaran
2024	J	`jnl`	LLM4VV: Exploring LLM-as-a-Judge for Validation and Verification Testsuites. CoRR Zachariah Sollenberger, Jay Patel, Christian Munley, Aaron Jarmusch, Sunita Chandrasekaran
2024	—	`conf`	Streaming Data in HPC Workflows Using ADIOS. CUG Greg Eisenhauer, Norbert Podhorszki, Ana Gainaru, Scott Klasky, Philip E. Davis, Manish Parashar, Matthew Wolf, Eric Suchyta, Erick Fredj, Vicente Bolea, Franz Pöschel, Klaus Steiniger, Michael Bussmann, Richard Pausch, Sunita Chandrasekaran
2024	J	`jnl`	Streaming Data in HPC Workflows Using ADIOS. CoRR 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
2024	J	`jnl`	UNNT: A novel Utility for comparing Neural Net and Tree-based models. PLoS Comput. Biol. Vineeth Gutta, Satish Ranganathan Ganakammal, Sara Jones, Matthew Beyers, Sunita Chandrasekaran
2023	—	`conf`	Analysis of MURaM, a Solar Physics Application, for Scalability, Performance and Portability. SC Workshops Eric Wright, Cena Brown, Damien Przybylski, Matthias Rempel, Supreeth Suresh, Sunita Chandrasekaran
2023	—	`conf`	Application Experiences on a GPU-Accelerated Arm-based HPC Testbed. HPC Asia Workshops Wael R. Elwasif, William F. Godoy, Nick Hagerty, James Austin Harris, Oscar R. Hernandez, Bálint Joó, Paul R. C. Kent, Damien Lebrun-Grandié, Elijah A. MacCarthy, Verónica G. Melesse Vergara, Bronson Messer, Ross Miller, Sarp Oral, Sergei I. Bastrakov, Michael Bussmann, Alexander Debus, Klaus Steiniger, Jan Stephan, René Widera, Spencer H. Bryngelson, Henry Le Berre, Anand Radhakrishnan, Jeffrey Young, Sunita Chandrasekaran, Florina M. Ciorba, Osman Seckin Simsek, Kate Clark, Filippo Spiga, Jeff R. Hammond, John E. Stone, David J. Hardy, Sebastian Keller, Jean-Guillaume Piccinali, Christian Trott
2023	J	`jnl`	EZ: An efficient, charge conserving current deposition algorithm for electromagnetic particle-in-cell simulations. Comput. Phys. Commun. Klaus Steiniger, René Widera, Sergey I. Bastrakov, Michael Bussmann, Sunita Chandrasekaran, Benjamín Hernández, Kristina Holsapple, Axel Huebl, Guido Juckeland, Jeffrey Kelling, Matt Leinhauser, Richard Pausch, David M. Rogers, Ulrich Schramm, Jeffrey Young, Alexander Debus
2023	A	`conf`	Frontier: Exploring Exascale. SC Scott Atchley, Christopher Zimmer, John Lange, David E. Bernholdt, Verónica G. Melesse Vergara, Thomas Beck, Michael J. Brim, Reuben D. Budiardja, Sunita Chandrasekaran, Markus Eisenbach, Thomas M. Evans, Matthew Ezell, Nicholas Frontiere, Antigoni Georgiadou, Joe Glenski, Philipp Grete, Steven P. Hamilton, John K. Holmen, Axel Huebl, Daniel A. Jacobson, Wayne Joubert, Kim H. McMahon, Elia Merzari, Stan G. Moore, Andrew Myers, Stephen Nichols, Sarp Oral, Thomas Papatheodore, Danny Perez, David M. Rogers, Evan Schneider, Jean-Luc Vay, P. K. Yeung
2023	—	`conf`	Hardware-Agnostic Interactive Exascale In Situ Visualization of Particle-In-Cell Simulations. PASC Felix Meyer, Benjamín Hernández, Richard Pausch, René Widera, David Groß, Sergei I. Bastrakov, Axel Huebl, Guido Juckeland, Jeffrey Kelling, Matt Leinhauser, David M. Rogers, Ulrich Schramm, Klaus Steiniger, Stefan Gumhold, Jeff Young, Michael Bussmann, Sunita Chandrasekaran, Alexander Debus
2023	B	`conf`	Implementing OpenMP's SIMD Directive in LLVM's GPU Runtime. ICPP Eric Wright, Johannes Doerfert, Shilei Tian, Barbara M. Chapman, Sunita Chandrasekaran
2023	J	`jnl`	LLM4VV: Developing LLM-Driven Testsuite for Compiler Validation. CoRR Christian Munley, Aaron Jarmusch, Sunita Chandrasekaran
2023	J	`jnl`	Special issue on new trends in high-performance computing: Software systems and applications. Softw. Pract. Exp. Sunita Chandrasekaran, Min Si, Jidong Zhai, Lena Oden
2022	—	`conf`	Analysis of Validating and Verifying OpenACC Compilers 3.0 and Above. WACCPD@SC Aaron Jarmusch, Aaron Liu, Christian Munley, Daniel Horta, Vaidhyanathan Ravichandran, Joel E. Denny, Kyle Friedline, Sunita Chandrasekaran
2022	J	`jnl`	Analysis of Validating and Verifying OpenACC Compilers 3.0 and Above. CoRR Aaron Jarmusch, Aaron Liu, Christian Munley, Daniel Horta, Vaidhyanathan Ravichandran, Joel E. Denny, Sunita Chandrasekaran
2022	—	`conf`	ECP SOLLVE: Validation and Verification Testsuite Status Update and Compiler Insight for OpenMP. P3HPC@SC 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
2022	J	`jnl`	ECP SOLLVE: Validation and Verification Testsuite Status Update and Compiler Insight for OpenMP. CoRR 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
2022	J	`jnl`	Early Application Experiences on a Modern GPU-Accelerated Arm-based HPC Platform. CoRR Wael R. Elwasif, Sergei I. Bastrakov, Spencer H. Bryngelson, Michael Bussmann, Sunita Chandrasekaran, Florina M. Ciorba, Michael A. Clark, Alexander Debus, William F. Godoy, Nick Hagerty, Jeff R. Hammond, David J. Hardy, James Austin Harris, Oscar R. Hernandez, Bálint Joó, Sebastian Keller, Paul R. C. Kent, Henry Le Berre, Damien Lebrun-Grandié, Elijah A. MacCarthy, Verónica G. Melesse Vergara, Bronson Messer, Ross Miller, Sarp Oral, Jean-Guillaume Piccinali, Anand Radhakrishnan, Osman Seckin Simsek, Filippo Spiga, Klaus Steiniger, Jan Stephan, John E. Stone, Christian Trott, René Widera, Jeffrey Young
2022	B	`conf`	First Experiences in Performance Benchmarking with the New SPEChpc 2021 Suites. CCGRID Holger Brunst, Sunita Chandrasekaran, Florina M. Ciorba, Nick Hagerty, Robert Henschel, Guido Juckeland, Junjie Li, Verónica G. Melesse Vergara, Sandra Wienke, Miguel Zavala
2022	J	`jnl`	First Experiences in Performance Benchmarking with the New SPEChpc 2021 Suites. CoRR Holger Brunst, Sunita Chandrasekaran, Florina M. Ciorba, Nick Hagerty, Robert Henschel, Guido Juckeland, Junjie Li, Verónica G. Melesse Vergara, Sandra Wienke, Miguel Zavala
2022	—	`ed.`	Languages and Compilers for Parallel Computing - 34th International Workshop, LCPC 2021, Newark, DE, USA, October 13-14, 2021, Revised Selected Papers LCPC Xiaoming Li, Sunita Chandrasekaran
2022	J	`jnl`	Metrics and Design of an Instruction Roofline Model for AMD GPUs. ACM Trans. Parallel Comput. Matthew Leinhauser, René Widera, Sergei I. Bastrakov, Alexander Debus, Michael Bussmann, Sunita Chandrasekaran
2022	J	`jnl`	OpenACC Acceleration of an Agent-Based Biological Simulation Framework. Comput. Sci. Eng. Matt Stack, Paul Macklin, Robert Searles, Sunita Chandrasekaran
2022	—	`conf`	SPEChpc 2021 Benchmark Suites for Modern HPC Systems. ICPE (Companion) Junjie Li, Alexander Bobyr, Swen Boehm, William C. Brantley, Holger Brunst, Aurélien Cavelan, Sunita Chandrasekaran, Jimmy Cheng, Florina M. Ciorba, Mathew E. Colgrove, Tony Curtis, Christopher S. Daley, Mauricio H. Ferrato, Mayara Gimenes de Souza, Nick Hagerty, Robert Henschel, Guido Juckeland, Jeffrey Kelling, Kelvin Li, Ron Lieberman, Kevin McMahon, Egor Melnichenko, Mohamed Ayoub Neggaz, Hiroshi Ono, Carl Ponder, Dave Raddatz, Severin Schueller, Robert Searles, Fedor Vasilev, Verónica G. Melesse Vergara, Bo Wang, Bert Wesarg, Sandra Wienke, Miguel Zavala
2021	—	`ed.`	Accelerator Programming Using Directives - 7th International Workshop, WACCPD 2020, Virtual Event, November 20, 2020, Proceedings WACCPD@SC Sridutt Bhalachandra, Sandra Wienke, Sunita Chandrasekaran, Guido Juckeland
2021	—	`conf`	Challenges Porting a C++ Template-Metaprogramming Abstraction Layer to Directive-Based Offloading. WACCPD@SC Jeffrey Kelling, Sergey I. Bastrakov, Alexander Debus, Thomas Kluge, Matt Leinhauser, Richard Pausch, Klaus Steiniger, Jan Stephan, René Widera, Jeff Young, Michael Bussmann, Sunita Chandrasekaran, Guido Juckeland
2021	J	`jnl`	Challenges Porting a C++ Template-Metaprogramming Abstraction Layer to Directive-based Offloading. CoRR Jeffrey Kelling, Sergei I. Bastrakov, Alexander Debus, Thomas Kluge, Matt Leinhauser, Richard Pausch, Klaus Steiniger, Jan Stephan, René Widera, Jeff Young, Michael Bussmann, Sunita Chandrasekaran, Guido Juckeland
2021	J	`jnl`	Metrics and Design of an Instruction Roofline Model for AMD GPUs. CoRR Matthew Leinhauser, René Widera, Sergei I. Bastrakov, Alexander Debus, Michael Bussmann, Sunita Chandrasekaran
2021	J	`jnl`	OpenACC Acceleration of an Agent-Based Biological Simulation Framework. CoRR Matt Stack, Paul Macklin, Robert Searles, Sunita Chandrasekaran
2021	—	`conf`	Refactoring the MPS/University of Chicago Radiative MHD (MURaM) model for GPU/CPU performance portability using OpenACC directives. PASC Eric Wright, Damien Przybylski, Matthias Rempel, Cena Miller, Supreeth Suresh, Shiquan Su, Richard Loft, Sunita Chandrasekaran
2021	J	`jnl`	Refactoring the MPS/University of Chicago Radiative MHD(MURaM) Model for GPU/CPU Performance Portability Using OpenACC Directives. CoRR Eric Wright, Damien Przybylski, Matthias Rempel, Cena Miller, Supreeth Suresh, Shiquan Su, Richard Loft, Sunita Chandrasekaran
2020	J	`jnl`	Accelerating prediction of chemical shift of protein structures on GPUs: Using OpenACC. PLoS Comput. Biol. Eric Wright, Mauricio H. Ferrato, Alexander J. Bryer, Robert Searles, Juan R. Perilla, Sunita Chandrasekaran
2020	J	`jnl`	Future Directions of the Cyberinfrastructure for Sustained Scientific Innovation (CSSI) Program. CoRR Ritu Arora, Xiaosong Li, Bonnie L. Hurwitz, Daniel Fay, Dhabaleswar K. Panda, Edward F. Valeev, Shaowen Wang, Shirley Moore, Sunita Chandrasekaran, Ting Cao, Holly Bik, Matthew Curry, Tanzima Z. Islam
2020	—	`conf`	Performance Assessment of OpenMP Compilers Targeting NVIDIA V100 GPUs. WACCPD@SC Joshua Hoke Davis, Christopher S. Daley, Swaroop Pophale, Thomas Huber, Sunita Chandrasekaran, Nicholas J. Wright
2020	J	`jnl`	Performance Assessment of OpenMP Compilers Targeting NVIDIA V100 GPUs. CoRR Joshua Hoke Davis, Christopher S. Daley, Swaroop Pophale, Thomas Huber, Sunita Chandrasekaran, Nicholas J. Wright
2020	Misc	`conf`	Proposing a Machine Learning Framework for Classification of Patient Cohorts Using Genomics Data. AMIA Mauricio H. Ferrato, Erin L. Crowgey, Sunita Chandrasekaran
2020	—	`ed.`	Tools and Techniques for High Performance Computing - Selected Workshops, HUST, SE-HER and WIHPC, Held in Conjunction with SC 2019, Denver, CO, USA, November 17-18, 2019, Revised Selected Papers HUST/SE-HER/WIHPC@SC Guido Juckeland, Sunita Chandrasekaran
2020	—	`conf`	Towards a portable hierarchical view of distributed shared memory systems: challenges and solutions. PMAM@PPoPP Millad Ghane, Sunita Chandrasekaran, Margaret S. Cheung
2019	—	`ed.`	Accelerator Programming Using Directives - 5th International Workshop, WACCPD 2018, Dallas, TX, USA, November 11-17, 2018, Proceedings WACCPD@SC Sunita Chandrasekaran, Guido Juckeland, Sandra Wienke
2019	J	`jnl`	Analysis of OpenMP 4.5 Offloading in Implementations: Correctness and Overhead. Parallel Comput. Jose Monsalve Diaz, Kyle Friedline, Swaroop Pophale, Oscar R. Hernandez, David E. Bernholdt, Sunita Chandrasekaran
2019	J	`jnl`	Assessing Performance Implications of Deep Copy Operations via Microbenchmarking. CoRR Millad Ghane, Sunita Chandrasekaran, Margaret S. Cheung
2019	—	`conf`	Characterization of Power Usage and Performance in Data-Intensive Applications Using MapReduce over MPI. PARCO Joshua Hoke Davis, Tao Gao, Sunita Chandrasekaran, Heike Jagode, Anthony Danalis, Jack J. Dongarra, Pavan Balaji, Michela Taufer
2019	J	`jnl`	Correction to: Computational approaches for cancer 2017 workshop overview. BMC Bioinform. Sunita Chandrasekaran, Eric Stahlberg
2019	J	`jnl`	Creating a portable, high-level graph analytics paradigm for compute and data-intensive applications. Int. J. High Perform. Comput. Netw. Robert Searles, Stephen Herbein, Travis Johnston, Michela Taufer, Sunita Chandrasekaran
2019	—	`conf`	Gecko: Hierarchical Distributed View of Heterogeneous Shared Memory Architectures. PMAM@PPoPP Millad Ghane, Sunita Chandrasekaran, Margaret S. Cheung
2019	J	`jnl`	MPI + OpenACC: Accelerating radiation transport mini-application, minisweep, on heterogeneous systems. Comput. Phys. Commun. Robert Searles, Sunita Chandrasekaran, Wayne Joubert, Oscar R. Hernandez
2019	J	`jnl`	Studying the Impact of Power Capping on MapReduce-based, Data-intensive Mini-applications on Intel KNL and KNM Architectures. CoRR Joshua Hoke Davis, Tao Gao, Sunita Chandrasekaran, Michela Taufer
2018	—	`conf`	Abstractions and Directives for Adapting Wavefront Algorithms to Future Architectures. PASC Robert Searles, Sunita Chandrasekaran, Wayne Joubert, Oscar R. Hernandez
2018	—	`ed.`	Accelerator Programming Using Directives - 4th International Workshop, WACCPD 2017, Held in Conjunction with the International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2017, Denver, CO, USA, November 13, 2017, Proceedings WACCPD@SC Sunita Chandrasekaran, Guido Juckeland
2018	J	`jnl`	Best Practices in Running Collaborative GPU Hackathons: Advancing Scientific Applications with a Sustained Impact. Comput. Sci. Eng. Sunita Chandrasekaran, Guido Juckeland, Meifeng Lin, Matthew Otten, Dirk Pleiter, John E. Stone, Juan Lucio-Vega, Michael Zingale, Fernanda S. Foertter
2018	J	`jnl`	Computational approaches for Cancer 2017 workshop overview. BMC Bioinform. Sunita Chandrasekaran, Eric Stahlberg
2018	—	`conf`	Evaluating Support for OpenMP Offload Features. ICPP Workshops Jose Monsalve Diaz, Swaroop Pophale, Kyle Friedline, Oscar R. Hernandez, David E. Bernholdt, Sunita Chandrasekaran
2018	—	`conf`	Introduction to AsHES 2018. IPDPS Workshops Sunita Chandrasekaran, Antonio J. Peña, Min Si
2018	—	`conf`	OpenMP 4.5 Validation and Verification Suite for Device Offload. IWOMP Jose Monsalve Diaz, Swaroop Pophale, Oscar R. Hernandez, David E. Bernholdt, Sunita Chandrasekaran
2018	J	`jnl`	Power and Energy-efficiency Roofline Model for GPUs. CoRR Millad Ghane, Jeff Larkin, Larry Shi, Sunita Chandrasekaran, Margaret S. Cheung
2018	J	`jnl`	Special issue on applications for the heterogeneous computing era 2017. Parallel Comput. Sunita Chandrasekaran, Antonio J. Peña
2018	J	`jnl`	The OpenACC data model: Preliminary study on its major challenges and implementations. Parallel Comput. Michael Wolfe, Seyong Lee, Jungwon Kim, Xiaonan Tian, Rengan Xu, Barbara M. Chapman, Sunita Chandrasekaran
2017	—	`conf`	An Efficient Data Layout Transformation Algorithm for Locality-Aware Parallel Sparse FFT. IA3@SC Cheng Wang, Sunita Chandrasekaran, Barbara M. Chapman
2017	—	`conf`	Exploring Translation of OpenMP to OpenACC 2.5: Lessons Learned. IPDPS Workshops Sergio Pino, Lori L. Pollock, Sunita Chandrasekaran
2017	—	`conf`	Implementing the OpenACC Data Model. IPDPS Workshops Michael Wolfe, Seyong Lee, Jungwon Kim, Xiaonan Tian, Rengan Xu, Sunita Chandrasekaran, Barbara M. Chapman
2017	—	`conf`	Introduction to AsHES Workshop. IPDPS Workshops Sunita Chandrasekaran
2017	—	`conf`	OpenACC 2.5 Validation Testsuite Targeting Multiple Architectures. ISC Workshops Kyle Friedline, Sunita Chandrasekaran, M. Graham Lopez, Oscar R. Hernandez
2017	J	`jnl`	Special Issue on Topics on Heterogeneous Computing. Parallel Comput. Sunita Chandrasekaran, Antonio J. Peña
2016	—	`conf`	A Portable, High-Level Graph Analytics Framework Targeting Distributed, Heterogeneous Systems. WACCPD@SC Robert Searles, Stephen Herbein, Sunita Chandrasekaran
2016	C	`conf`	An Analytical Model-Based Auto-tuning Framework for Locality-Aware Loop Scheduling. ISC Rengan Xu, Sunita Chandrasekaran, Xiaonan Tian, Barbara M. Chapman
2016	J	`jnl`	Compiler transformation of nested loops for general purpose GPUs. Concurr. Comput. Pract. Exp. Xiaonan Tian, Rengan Xu, Yonghong Yan, Sunita Chandrasekaran, Deepak Eachempati, Barbara M. Chapman
2016	—	`conf`	Exploring Task Parallelism for Heterogeneous Systems Using Multicore Task Management API. Euro-Par Workshops Suyang Zhu, Sunita Chandrasekaran, Peng Sun, Barbara M. Chapman, Marcus W. Winter, Tobias Schuele
2016	—	`conf`	From Describing to Prescribing Parallelism: Translating the SPEC ACCEL OpenACC Suite to OpenMP Target Directives. ISC Workshops Guido Juckeland, Oscar R. Hernandez, Arpith C. Jacob, Daniel Neilson, Verónica G. Vergara Larrea, Sandra Wienke, Alexander Bobyr, William C. Brantley, Sunita Chandrasekaran, Mathew E. Colgrove, Alexander Grund, Robert Henschel, Wayne Joubert, Matthias S. Müller, Dave Raddatz, Pavel Shelepugin, Brian Whitney, Bo Wang, Kalyan Kumaran
2016	A	`conf`	cusFFT: A High-Performance Sparse Fast Fourier Transform Algorithm on GPUs. IPDPS Cheng Wang, Sunita Chandrasekaran, Barbara M. Chapman
2015	—	`conf`	Deploying OpenMP Task Parallelism on Multicore Embedded Systems with MCA Task APIs. HPCC/CSS/ICESS Peng Sun, Sunita Chandrasekaran, Suyang Zhu, Barbara M. Chapman
2015	J	`jnl`	Multi-GPU Support on Single Node Using Directive-Based Programming Model. Sci. Program. Rengan Xu, Xiaonan Tian, Sunita Chandrasekaran, Barbara M. Chapman
2015	—	`conf`	OpenMP-MCA: Leveraging Multiprocessor Embedded Systems Using Industry Standards. IPDPS Workshops Peng Sun, Sunita Chandrasekaran, Barbara M. Chapman
2015	—	`conf`	PLC Introduction and Committees. IPDPS Workshops Sunita Chandrasekaran
2015	—	`ed.`	Proceedings of the Second Workshop on Accelerator Programming using Directives, WACCPD 2015, Austin, Texas, USA, November 15, 2015 WACCPD@SC Sunita Chandrasekaran, Fernanda S. Foertter
2015	J	`jnl`	Programming Models, Languages, and Compilers for Manycore and Heterogeneous Architectures. Sci. Program. Sunita Chandrasekaran, Barbara M. Chapman, Xinmin Tian, Yonghong Yan
2014	—	`conf`	A Validation Testsuite for OpenACC 1.0. IPDPS Workshops Cheng Wang, Rengan Xu, Sunita Chandrasekaran, Barbara M. Chapman, Oscar R. Hernandez
2014	—	`conf`	Accelerating Kirchhoff migration on GPU using directives. WACCPD@SC Rengan Xu, Maxime R. Hugues, Henri Calandra, Sunita Chandrasekaran, Barbara M. Chapman
2014	—	`conf`	NAS Parallel Benchmarks for GPGPUs Using a Directive-Based Programming Model. LCPC Rengan Xu, Xiaonan Tian, Sunita Chandrasekaran, Yonghong Yan, Barbara M. Chapman
2014	—	`ed.`	Proceedings of the First Workshop on Accelerator Programming using Directives, WACCPD '14, New Orleans, Louisiana, USA, November 16-21, 2014 WACCPD@SC Sunita Chandrasekaran, Fernanda S. Foertter, Oscar R. Hernandez
2014	—	`conf`	Reduction Operations in Parallel Loops for GPGPUs. PMAM Rengan Xu, Xiaonan Tian, Yonghong Yan, Sunita Chandrasekaran, Barbara M. Chapman
2014	—	`conf`	SPEC ACCEL: A Standard Application Suite for Measuring Hardware Accelerator Performance. PMBS@SC Guido Juckeland, William C. Brantley, Sunita Chandrasekaran, Barbara M. Chapman, Shuai Che, Mathew E. Colgrove, Huiyu Feng, Alexander Grund, Robert Henschel, Wen-mei W. Hwu, Huian Li, Matthias S. Müller, Wolfgang E. Nagel, Maxim Perminov, Pavel Shelepugin, Kevin Skadron, John A. Stratton, Alexey Titov, Ke Wang, G. Matthijs van Waveren, Brian Whitney, Sandra Wienke, Rengan Xu, Kalyan Kumaran
2013	J	`jnl`	C2FPGA - A dependency-timing graph design methodology. J. Parallel Distributed Comput. Sunita Chandrasekaran, Shilpa Shanbagh, Ramkumar Jayaraman, Douglas L. Maskell, Hui Yan Cheah
2013	—	`conf`	Compiling a High-Level Directive-Based Programming Model for GPGPUs. LCPC Xiaonan Tian, Rengan Xu, Yonghong Yan, Zhifeng Yun, Sunita Chandrasekaran, Barbara M. Chapman
2013	—	`conf`	Exploring Programming Multi-GPUs Using OpenMP and OpenACC-Based Hybrid Model. IPDPS Workshops Rengan Xu, Sunita Chandrasekaran, Barbara M. Chapman
2013	—	`conf`	Parallel sparse FFT. IA3@SC Cheng Wang, Mauricio Araya-Polo, Sunita Chandrasekaran, Amik St.-Cyr, Barbara M. Chapman, Detlef Hohl
2013	B	`conf`	Portable mapping of openMP to multicore embedded systems using MCA APIs. LCTES Cheng Wang, Sunita Chandrasekaran, Peng Sun, Barbara M. Chapman, Jim Holt
2013	—	`conf`	Statistical modeling of power/energy of scientific kernels on a multi-GPU system. IGCC Sayan Ghosh, Sunita Chandrasekaran, Barbara M. Chapman
2013	—	`conf`	libEOMP: a portable OpenMP runtime library based on MCA APIs for embedded systems. PMAM Cheng Wang, Sunita Chandrasekaran, Barbara M. Chapman, Jim Holt
2012	—	`conf`	An OpenMP 3.1 Validation Testsuite. IWOMP Cheng Wang, Sunita Chandrasekaran, Barbara M. Chapman
2012	—	`conf`	Poster: Statistical Power and Energy Modeling of Multi-GPU Kernels. SC Companion Sayan Ghosh, Sunita Chandrasekaran, Barbara M. Chapman
2012	—	`—`	Tools and algorithms for high-level algorithm mapping to FPGA Sunita Chandrasekaran
2010	A	`conf`	A dependency graph based methodology for parallelizing HLL applications on FPGA (abstract only). FPGA Sunita Chandrasekaran, Shilpa Shanbagh, Douglas L. Maskell
2008	A	`conf`	Capturing performance knowledge for automated analysis. SC Kevin A. Huck, Oscar R. Hernandez, Van Bui, Sunita Chandrasekaran, Barbara M. Chapman, Allen D. Malony, Lois C. McInnes, Boyana Norris