Sunita Chandrasekaran

According to our database, Sunita Chandrasekaran authored at least 80 papers between 2008 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

The Artificial Scientist - in-transit Machine Learning of Plasma Simulations.

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

CoRR, January, 2025

2024

UNNT: A novel Utility for comparing Neural Net and Tree-based models.

Vineeth Gutta, Satish Ranganathan Ganakammal, Sara Jones, Matthew Beyers, Sunita Chandrasekaran

PLoS Comput. Biol., 2024

LLM4VV: Developing LLM-driven testsuite for compiler validation.

Christian Munley, Aaron Jarmusch, Sunita Chandrasekaran

Future Gener. Comput. Syst., 2024

Streaming Data in HPC Workflows Using ADIOS.

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

CoRR, 2024

LLM4VV: Exploring LLM-as-a-Judge for Validation and Verification Testsuites.

Zachariah Sollenberger, Jay Patel, Christian Munley, Aaron Jarmusch, Sunita Chandrasekaran

Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024

CI/CD Efforts for Validation, Verification and Benchmarking OpenMP Implementations.

Aaron Jarmusch, Felipe Cabarcas, Swaroop Pophale, Andrew Kallai, Johannes Doerfert, Luke Peyralans, Seyong Lee, Joel E. Denny, Sunita Chandrasekaran

Proceedings of the Advancing OpenMP for Future Accelerators, 2024

2023

EZ: An efficient, charge conserving current deposition algorithm for electromagnetic particle-in-cell simulations.

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

Comput. Phys. Commun., October, 2023

Special issue on new trends in high-performance computing: Software systems and applications.

Sunita Chandrasekaran, Min Si, Jidong Zhai, Lena Oden

Softw. Pract. Exp., 2023

Analysis of MURaM, a Solar Physics Application, for Scalability, Performance and Portability.

Eric Wright, Cena Brown, Damien Przybylski, Matthias Rempel, Supreeth Suresh, Sunita Chandrasekaran

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Frontier: Exploring Exascale.

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

Proceedings of the International Conference for High Performance Computing, 2023

Hardware-Agnostic Interactive Exascale In Situ Visualization of Particle-In-Cell Simulations.

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

Proceedings of the Platform for Advanced Scientific Computing Conference, 2023

Implementing OpenMP's SIMD Directive in LLVM's GPU Runtime.

Eric Wright, Johannes Doerfert, Shilei Tian, Barbara M. Chapman, Sunita Chandrasekaran

Proceedings of the 52nd International Conference on Parallel Processing, 2023

Application Experiences on a GPU-Accelerated Arm-based HPC Testbed.

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 Simsek, Kate Clark, Filippo Spiga, Jeff R. Hammond, John E. Stone, David J. Hardy, Sebastian Keller, Jean-Guillaume Piccinali, Christian Trott

Proceedings of the HPC Asia 2023 Workshops, 2023

2022

Metrics and Design of an Instruction Roofline Model for AMD GPUs.

Matthew Leinhauser, René Widera, Sergei I. Bastrakov, Alexander Debus, Michael Bussmann, Sunita Chandrasekaran

ACM Trans. Parallel Comput., 2022

OpenACC Acceleration of an Agent-Based Biological Simulation Framework.

Matt Stack, Paul Macklin, Robert Searles, Sunita Chandrasekaran

Comput. Sci. Eng., 2022

Early Application Experiences on a Modern GPU-Accelerated Arm-based HPC Platform.

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 Simsek, Filippo Spiga, Klaus Steiniger, Jan Stephan, John E. Stone, Christian Trott, René Widera, Jeffrey Young

CoRR, 2022

Analysis of Validating and Verifying OpenACC Compilers 3.0 and Above.

Aaron Jarmusch, Aaron Liu, Christian Munley, Daniel Horta, Vaidhyanathan Ravichandran, Joel E. Denny, Sunita Chandrasekaran

CoRR, 2022

SPEChpc 2021 Benchmark Suites for Modern HPC Systems.

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

Proceedings of the ICPE '22: ACM/SPEC International Conference on Performance Engineering, Bejing, China, April 9, 2022

Analysis of Validating and Verifying OpenACC Compilers 3.0 and Above.

Aaron Jarmusch, Aaron Liu, Christian Munley, Daniel Horta, Vaidhyanathan Ravichandran, Joel E. Denny, Kyle Friedline, Sunita Chandrasekaran

Proceedings of the 9th Workshop on Accelerator Programming Using Directives, 2022

ECP SOLLVE: Validation and Verification Testsuite Status Update and Compiler Insight for OpenMP.

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

Proceedings of the IEEE/ACM International Workshop on Performance, 2022

First Experiences in Performance Benchmarking with the New SPEChpc 2021 Suites.

Holger Brunst, Sunita Chandrasekaran, Florina M. Ciorba, Nick Hagerty, Robert Henschel, Guido Juckeland, Junjie Li, Verónica G. Melesse Vergara, Sandra Wienke, Miguel Zavala

Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

2021

Challenges Porting a C++ Template-Metaprogramming Abstraction Layer to Directive-Based Offloading.

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

Proceedings of the Accelerator Programming Using Directives - 8th International Workshop, 2021

Refactoring the MPS/University of Chicago Radiative MHD (MURaM) model for GPU/CPU performance portability using OpenACC directives.

Eric Wright, Damien Przybylski, Matthias Rempel, Cena Miller, Supreeth Suresh, Shiquan Su, Richard Loft, Sunita Chandrasekaran

Proceedings of the PASC '21: Platform for Advanced Scientific Computing Conference, 2021

2020

Accelerating prediction of chemical shift of protein structures on GPUs: Using OpenACC.

Eric Wright, Mauricio H. Ferrato, Alexander J. Bryer, Robert Searles, Juan R. Perilla, Sunita Chandrasekaran

PLoS Comput. Biol., 2020

Future Directions of the Cyberinfrastructure for Sustained Scientific Innovation (CSSI) Program.

Ritu Arora, Xiaosong Li, Bonnie Hurwitz, Daniel Fay, Dhabaleswar K. Panda, Edward F. Valeev, Shaowen Wang, Shirley Moore, Sunita Chandrasekaran, Ting Cao, Holly Bik, Matthew Curry, Tanzima Z. Islam

CoRR, 2020

Performance Assessment of OpenMP Compilers Targeting NVIDIA V100 GPUs.

Joshua Hoke Davis, Christopher S. Daley, Swaroop Pophale, Thomas Huber, Sunita Chandrasekaran, Nicholas J. Wright

Proceedings of the Accelerator Programming Using Directives - 7th International Workshop, 2020

Towards a portable hierarchical view of distributed shared memory systems: challenges and solutions.

Millad Ghane, Sunita Chandrasekaran, Margaret S. Cheung

Proceedings of the PMAM@PPoPP '20: Eleventh International Workshop on Programming Models and Applications for Multicores and Manycores colocated with the 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2020

Proposing a Machine Learning Framework for Classification of Patient Cohorts Using Genomics Data.

Mauricio H. Ferrato, Erin L. Crowgey, Sunita Chandrasekaran

Proceedings of the AMIA 2020, 2020

2019

<i>pointerchain: </i> Tracing pointers to their roots - A case study in molecular dynamics simulations.

Millad Ghane, Sunita Chandrasekaran, Margaret S. Cheung

Parallel Comput., 2019

Analysis of OpenMP 4.5 Offloading in Implementations: Correctness and Overhead.

Jose Monsalve Diaz, Kyle Friedline, Swaroop Pophale, Oscar R. Hernandez, David E. Bernholdt, Sunita Chandrasekaran

Parallel Comput., 2019

Creating a portable, high-level graph analytics paradigm for compute and data-intensive applications.

Robert Searles, Stephen Herbein, Travis Johnston, Michela Taufer, Sunita Chandrasekaran

Int. J. High Perform. Comput. Netw., 2019

MPI + OpenACC: Accelerating radiation transport mini-application, minisweep, on heterogeneous systems.

Robert Searles, Sunita Chandrasekaran, Wayne Joubert, Oscar R. Hernandez

Comput. Phys. Commun., 2019

Assessing Performance Implications of Deep Copy Operations via Microbenchmarking.

Millad Ghane, Sunita Chandrasekaran, Margaret S. Cheung

CoRR, 2019

Studying the Impact of Power Capping on MapReduce-based, Data-intensive Mini-applications on Intel KNL and KNM Architectures.

Joshua Hoke Davis, Tao Gao, Sunita Chandrasekaran, Michela Taufer

CoRR, 2019

Correction to: Computational approaches for cancer 2017 workshop overview.

Sunita Chandrasekaran, Eric Stahlberg

BMC Bioinform., 2019

Gecko: Hierarchical Distributed View of Heterogeneous Shared Memory Architectures.

Millad Ghane, Sunita Chandrasekaran, Margaret S. Cheung

Proceedings of the 10th International Workshop on Programming Models and Applications for Multicores and Manycores, 2019

Characterization of Power Usage and Performance in Data-Intensive Applications Using MapReduce over MPI.

Joshua Hoke Davis, Tao Gao, Sunita Chandrasekaran, Heike Jagode, Anthony Danalis, Jack J. Dongarra, Pavan Balaji, Michela Taufer

Proceedings of the Parallel Computing: Technology Trends, 2019

2018

The OpenACC data model: Preliminary study on its major challenges and implementations.

Michael Wolfe, Seyong Lee, Jungwon Kim, Xiaonan Tian, Rengan Xu, Barbara M. Chapman, Sunita Chandrasekaran

Parallel Comput., 2018

Special issue on applications for the heterogeneous computing era 2017.

Sunita Chandrasekaran, Antonio J. Peña

Parallel Comput., 2018

Best Practices in Running Collaborative GPU Hackathons: Advancing Scientific Applications with a Sustained Impact.

Sunita Chandrasekaran, Guido Juckeland, Meifeng Lin, Matthew Otten, Dirk Pleiter, John E. Stone, Juan Lucio-Vega, Michael Zingale, Fernanda S. Foertter

Comput. Sci. Eng., 2018

Power and Energy-efficiency Roofline Model for GPUs.

Millad Ghane, Jeff Larkin, Larry Shi, Sunita Chandrasekaran, Margaret S. Cheung

CoRR, 2018

Computational approaches for Cancer 2017 workshop overview.

Sunita Chandrasekaran, Eric Stahlberg

BMC Bioinform., 2018

Abstractions and Directives for Adapting Wavefront Algorithms to Future Architectures.

Robert Searles, Sunita Chandrasekaran, Wayne Joubert, Oscar R. Hernandez

Proceedings of the Platform for Advanced Scientific Computing Conference, 2018

OpenMP 4.5 Validation and Verification Suite for Device Offload.

Jose Monsalve Diaz, Swaroop Pophale, Oscar R. Hernandez, David E. Bernholdt, Sunita Chandrasekaran

Proceedings of the Evolving OpenMP for Evolving Architectures, 2018

Introduction to AsHES 2018.

Sunita Chandrasekaran, Antonio J. Peña, Min Si

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

Evaluating Support for OpenMP Offload Features.

Jose Monsalve Diaz, Swaroop Pophale, Kyle Friedline, Oscar R. Hernandez, David E. Bernholdt, Sunita Chandrasekaran

Proceedings of the 47th International Conference on Parallel Processing, 2018

2017

Special Issue on Topics on Heterogeneous Computing.

Sunita Chandrasekaran, Antonio J. Peña

Parallel Comput., 2017

OpenACC 2.5 Validation Testsuite Targeting Multiple Architectures.

Kyle Friedline, Sunita Chandrasekaran, M. Graham Lopez, Oscar R. Hernandez

Proceedings of the High Performance Computing, 2017

An Efficient Data Layout Transformation Algorithm for Locality-Aware Parallel Sparse FFT.

Cheng Wang, Sunita Chandrasekaran, Barbara M. Chapman

Proceedings of the Seventh Workshop on Irregular Applications: Architectures and Algorithms, 2017

Implementing the OpenACC Data Model.

Michael Wolfe, Seyong Lee, Jungwon Kim, Xiaonan Tian, Rengan Xu, Sunita Chandrasekaran, Barbara M. Chapman

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

Exploring Translation of OpenMP to OpenACC 2.5: Lessons Learned.

Sergio Pino, Lori L. Pollock, Sunita Chandrasekaran

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

Introduction to AsHES Workshop.

Sunita Chandrasekaran

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

2016

Compiler transformation of nested loops for general purpose GPUs.

Xiaonan Tian, Rengan Xu, Yonghong Yan, Sunita Chandrasekaran, Deepak Eachempati, Barbara M. Chapman

Concurr. Comput. Pract. Exp., 2016

An Analytical Model-Based Auto-tuning Framework for Locality-Aware Loop Scheduling.

Rengan Xu, Sunita Chandrasekaran, Xiaonan Tian, Barbara M. Chapman

Proceedings of the High Performance Computing - 31st International Conference, 2016

From Describing to Prescribing Parallelism: Translating the SPEC ACCEL OpenACC Suite to OpenMP Target Directives.

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

Proceedings of the High Performance Computing, 2016

A Portable, High-Level Graph Analytics Framework Targeting Distributed, Heterogeneous Systems.

Robert Searles, Stephen Herbein, Sunita Chandrasekaran

Proceedings of the Third Workshop on Accelerator Programming Using Directives, 2016

cusFFT: A High-Performance Sparse Fast Fourier Transform Algorithm on GPUs.

Cheng Wang, Sunita Chandrasekaran, Barbara M. Chapman

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016

Exploring Task Parallelism for Heterogeneous Systems Using Multicore Task Management API.

Suyang Zhu, Sunita Chandrasekaran, Peng Sun, Barbara M. Chapman, Marcus W. Winter, Tobias Schuele

Proceedings of the Euro-Par 2016: Parallel Processing Workshops, 2016

2015

Multi-GPU Support on Single Node Using Directive-Based Programming Model.

Rengan Xu, Xiaonan Tian, Sunita Chandrasekaran, Barbara M. Chapman

Sci. Program., 2015

Programming Models, Languages, and Compilers for Manycore and Heterogeneous Architectures.

Sunita Chandrasekaran, Barbara M. Chapman, Xinmin Tian, Yonghong Yan

Sci. Program., 2015

OpenMP-MCA: Leveraging Multiprocessor Embedded Systems Using Industry Standards.

Peng Sun, Sunita Chandrasekaran, Barbara M. Chapman

Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium Workshop, 2015

PLC Introduction and Committees.

Sunita Chandrasekaran

Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium Workshop, 2015

Deploying OpenMP Task Parallelism on Multicore Embedded Systems with MCA Task APIs.

Peng Sun, Sunita Chandrasekaran, Suyang Zhu, Barbara M. Chapman

Proceedings of the 17th IEEE International Conference on High Performance Computing and Communications, 2015

2014

Accelerating Kirchhoff migration on GPU using directives.

Rengan Xu, Maxime R. Hugues, Henri Calandra, Sunita Chandrasekaran, Barbara M. Chapman

Proceedings of the First Workshop on Accelerator Programming using Directives, 2014

SPEC ACCEL: A Standard Application Suite for Measuring Hardware Accelerator Performance.

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

Proceedings of the High Performance Computing Systems. Performance Modeling, Benchmarking, and Simulation, 2014

Reduction Operations in Parallel Loops for GPGPUs.

Rengan Xu, Xiaonan Tian, Yonghong Yan, Sunita Chandrasekaran, Barbara M. Chapman

Proceedings of the 2014 PPOPP International Workshop on Programming Models and Applications for Multicores and Manycores, 2014

NAS Parallel Benchmarks for GPGPUs Using a Directive-Based Programming Model.

Rengan Xu, Xiaonan Tian, Sunita Chandrasekaran, Yonghong Yan, Barbara M. Chapman

Proceedings of the Languages and Compilers for Parallel Computing, 2014

A Validation Testsuite for OpenACC 1.0.

Cheng Wang, Rengan Xu, Sunita Chandrasekaran, Barbara M. Chapman, Oscar R. Hernandez

Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014

2013

C2FPGA - A dependency-timing graph design methodology.

Sunita Chandrasekaran, Shilpa Shanbagh, Ramkumar Jayaraman, Douglas L. Maskell, Hui Yan Cheah

J. Parallel Distributed Comput., 2013

Parallel sparse FFT.

Cheng Wang, Mauricio Araya-Polo, Sunita Chandrasekaran, Amik St.-Cyr, Barbara M. Chapman, Detlef Hohl

Proceedings of the 3rd Workshop on Irregular Applications - Architectures and Algorithms, 2013

libEOMP: a portable OpenMP runtime library based on MCA APIs for embedded systems.

Cheng Wang, Sunita Chandrasekaran, Barbara M. Chapman, Jim Holt

Proceedings of the 2013 PPOPP International Workshop on Programming Models and Applications for Multicores and Manycores, 2013

Portable mapping of openMP to multicore embedded systems using MCA APIs.

Cheng Wang, Sunita Chandrasekaran, Peng Sun, Barbara M. Chapman, Jim Holt

Proceedings of the SIGPLAN/SIGBED Conference on Languages, 2013

Compiling a High-Level Directive-Based Programming Model for GPGPUs.

Xiaonan Tian, Rengan Xu, Yonghong Yan, Zhifeng Yun, Sunita Chandrasekaran, Barbara M. Chapman

Proceedings of the Languages and Compilers for Parallel Computing, 2013

Exploring Programming Multi-GPUs Using OpenMP and OpenACC-Based Hybrid Model.

Rengan Xu, Sunita Chandrasekaran, Barbara M. Chapman

Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013

Statistical modeling of power/energy of scientific kernels on a multi-GPU system.

Sayan Ghosh, Sunita Chandrasekaran, Barbara M. Chapman

Proceedings of the International Green Computing Conference, 2013

2012

Tools and algorithms for high-level algorithm mapping to FPGA

Sunita Chandrasekaran

PhD thesis, 2012

Poster: Statistical Power and Energy Modeling of Multi-GPU Kernels.

Sayan Ghosh, Sunita Chandrasekaran, Barbara M. Chapman

Proceedings of the 2012 SC Companion: High Performance Computing, 2012

An OpenMP 3.1 Validation Testsuite.

Cheng Wang, Sunita Chandrasekaran, Barbara M. Chapman

Proceedings of the OpenMP in a Heterogeneous World - 8th International Workshop on OpenMP, 2012

2010

A dependency graph based methodology for parallelizing HLL applications on FPGA (abstract only).

Sunita Chandrasekaran, Shilpa Shanbagh, Douglas L. Maskell

Proceedings of the ACM/SIGDA 18th International Symposium on Field Programmable Gate Arrays, 2010

2008

Capturing performance knowledge for automated analysis.

Kevin A. Huck, Oscar R. Hernandez, Van Bui, Sunita Chandrasekaran, Barbara M. Chapman, Allen D. Malony, Lois C. McInnes, Boyana Norris

Proceedings of the ACM/IEEE Conference on High Performance Computing, 2008