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Sunita Chandrasekaran
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2020 – today
- 2024
- [j20]Christian Munley, Aaron Jarmusch, Sunita Chandrasekaran:
LLM4VV: Developing LLM-driven testsuite for compiler validation. Future Gener. Comput. Syst. 160: 1-13 (2024) - [c49]Aaron Jarmusch, Felipe Cabarcas, Swaroop Pophale, Andrew Kallai, Johannes Doerfert, Luke Peyralans, Seyong Lee, Joel E. Denny, Sunita Chandrasekaran:
CI/CD Efforts for Validation, Verification and Benchmarking OpenMP Implementations. IWOMP 2024: 111-125 - [i16]Zachariah Sollenberger, Jay Patel, Christian Munley, Aaron Jarmusch, Sunita Chandrasekaran:
LLM4VV: Exploring LLM-as-a-Judge for Validation and Verification Testsuites. CoRR abs/2408.11729 (2024) - [i15]Aaron Jarmusch, Felipe Cabarcas, Swaroop Pophale, Andrew Kallai, Johannes Doerfert, Luke Peyralans, Seyong Lee, Joel E. Denny, Sunita Chandrasekaran:
CI/CD Efforts for Validation, Verification and Benchmarking OpenMP Implementations. CoRR abs/2408.11777 (2024) - 2023
- [j19]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:
EZ: An efficient, charge conserving current deposition algorithm for electromagnetic particle-in-cell simulations. Comput. Phys. Commun. 291: 108849 (2023) - [j18]Sunita Chandrasekaran, Min Si, Jidong Zhai, Lena Oden:
Special issue on new trends in high-performance computing: Software systems and applications. Softw. Pract. Exp. 53(1): 3-5 (2023) - [c48]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:
Application Experiences on a GPU-Accelerated Arm-based HPC Testbed. HPC Asia Workshops 2023: 35-49 - [c47]Eric Wright, Johannes Doerfert, Shilei Tian, Barbara M. Chapman, Sunita Chandrasekaran:
Implementing OpenMP's SIMD Directive in LLVM's GPU Runtime. ICPP 2023: 173-182 - [c46]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:
Hardware-Agnostic Interactive Exascale In Situ Visualization of Particle-In-Cell Simulations. PASC 2023: 9:1-9:14 - [c45]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:
Frontier: Exploring Exascale. SC 2023: 52:1-52:16 - [c44]Eric Wright, Cena Brown, Damien Przybylski, Matthias Rempel, Supreeth Suresh, Sunita Chandrasekaran:
Analysis of MURaM, a Solar Physics Application, for Scalability, Performance and Portability. SC Workshops 2023: 1929-1938 - [i14]Christian Munley, Aaron Jarmusch, Sunita Chandrasekaran:
LLM4VV: Developing LLM-Driven Testsuite for Compiler Validation. CoRR abs/2310.04963 (2023) - 2022
- [j17]Matt Stack, Paul Macklin, Robert Searles, Sunita Chandrasekaran:
OpenACC Acceleration of an Agent-Based Biological Simulation Framework. Comput. Sci. Eng. 24(5): 53-63 (2022) - [j16]Matthew Leinhauser, René Widera, Sergei I. Bastrakov, Alexander Debus, Michael Bussmann, Sunita Chandrasekaran:
Metrics and Design of an Instruction Roofline Model for AMD GPUs. ACM Trans. Parallel Comput. 9(1): 1:1-1:14 (2022) - [c43]Holger Brunst, Sunita Chandrasekaran, Florina M. Ciorba, Nick Hagerty, Robert Henschel, Guido Juckeland, Junjie Li, Verónica G. Melesse Vergara, Sandra Wienke, Miguel Zavala:
First Experiences in Performance Benchmarking with the New SPEChpc 2021 Suites. CCGRID 2022: 675-684 - [c42]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@SC 2022: 123-135 - [c41]Aaron Jarmusch, Aaron Liu, Christian Munley, Daniel Horta, Vaidhyanathan Ravichandran, Joel E. Denny, Kyle Friedline, Sunita Chandrasekaran:
Analysis of Validating and Verifying OpenACC Compilers 3.0 and Above. WACCPD@SC 2022: 1-10 - [c40]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:
SPEChpc 2021 Benchmark Suites for Modern HPC Systems. ICPE (Companion) 2022: 15-16 - [e7]Xiaoming Li, Sunita Chandrasekaran:
Languages and Compilers for Parallel Computing - 34th International Workshop, LCPC 2021, Newark, DE, USA, October 13-14, 2021, Revised Selected Papers. Lecture Notes in Computer Science 13181, Springer 2022, ISBN 978-3-030-99371-9 [contents] - [i13]Holger Brunst, Sunita Chandrasekaran, Florina M. Ciorba, Nick Hagerty, Robert Henschel, Guido Juckeland, Junjie Li, Verónica G. Melesse Vergara, Sandra Wienke, Miguel Zavala:
First Experiences in Performance Benchmarking with the New SPEChpc 2021 Suites. CoRR abs/2203.06751 (2022) - [i12]Aaron Jarmusch, Aaron Liu, Christian Munley, Daniel Horta, Vaidhyanathan Ravichandran, Joel E. Denny, Sunita Chandrasekaran:
Analysis of Validating and Verifying OpenACC Compilers 3.0 and Above. CoRR abs/2208.13071 (2022) - [i11]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. CoRR abs/2208.13301 (2022) - [i10]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:
Early Application Experiences on a Modern GPU-Accelerated Arm-based HPC Platform. CoRR abs/2209.09731 (2022) - 2021
- [c39]Eric Wright, Damien Przybylski, Matthias Rempel, Cena Miller, Supreeth Suresh, Shiquan Su, Richard Loft, Sunita Chandrasekaran:
Refactoring the MPS/University of Chicago Radiative MHD (MURaM) model for GPU/CPU performance portability using OpenACC directives. PASC 2021: 5:1-5:12 - [c38]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:
Challenges Porting a C++ Template-Metaprogramming Abstraction Layer to Directive-Based Offloading. WACCPD@SC 2021: 92-111 - [e6]Sridutt Bhalachandra, Sandra Wienke, Sunita Chandrasekaran, Guido Juckeland:
Accelerator Programming Using Directives - 7th International Workshop, WACCPD 2020, Virtual Event, November 20, 2020, Proceedings. Lecture Notes in Computer Science 12655, Springer 2021, ISBN 978-3-030-74223-2 [contents] - [i9]Eric Wright, Damien Przybylski, Matthias Rempel, Cena Miller, Supreeth Suresh, Shiquan Su, Richard Loft, Sunita Chandrasekaran:
Refactoring the MPS/University of Chicago Radiative MHD(MURaM) Model for GPU/CPU Performance Portability Using OpenACC Directives. CoRR abs/2107.08145 (2021) - [i8]Matthew Leinhauser, René Widera, Sergei I. Bastrakov, Alexander Debus, Michael Bussmann, Sunita Chandrasekaran:
Metrics and Design of an Instruction Roofline Model for AMD GPUs. CoRR abs/2110.08221 (2021) - [i7]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:
Challenges Porting a C++ Template-Metaprogramming Abstraction Layer to Directive-based Offloading. CoRR abs/2110.08650 (2021) - [i6]Matt Stack, Paul Macklin, Robert Searles, Sunita Chandrasekaran:
OpenACC Acceleration of an Agent-Based Biological Simulation Framework. CoRR abs/2110.13368 (2021) - 2020
- [j15]Eric Wright, Mauricio H. Ferrato, Alexander J. Bryer, Robert Searles, Juan R. Perilla, Sunita Chandrasekaran:
Accelerating prediction of chemical shift of protein structures on GPUs: Using OpenACC. PLoS Comput. Biol. 16(5) (2020) - [c37]Mauricio H. Ferrato, Erin L. Crowgey, Sunita Chandrasekaran:
Proposing a Machine Learning Framework for Classification of Patient Cohorts Using Genomics Data. AMIA 2020 - [c36]Millad Ghane, Sunita Chandrasekaran, Margaret S. Cheung:
Towards a portable hierarchical view of distributed shared memory systems: challenges and solutions. PMAM@PPoPP 2020: 5:1-5:10 - [c35]Joshua Hoke Davis, Christopher S. Daley, Swaroop Pophale, Thomas Huber, Sunita Chandrasekaran, Nicholas J. Wright:
Performance Assessment of OpenMP Compilers Targeting NVIDIA V100 GPUs. WACCPD@SC 2020: 25-44 - [e5]Guido Juckeland, Sunita Chandrasekaran:
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. Communications in Computer and Information Science 1190, Springer 2020, ISBN 978-3-030-44727-4 [contents] - [i5]Joshua Hoke Davis, Christopher S. Daley, Swaroop Pophale, Thomas Huber, Sunita Chandrasekaran, Nicholas J. Wright:
Performance Assessment of OpenMP Compilers Targeting NVIDIA V100 GPUs. CoRR abs/2010.09454 (2020) - [i4]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:
Future Directions of the Cyberinfrastructure for Sustained Scientific Innovation (CSSI) Program. CoRR abs/2010.15584 (2020)
2010 – 2019
- 2019
- [j14]Sunita Chandrasekaran, Eric Stahlberg:
Correction to: Computational approaches for cancer 2017 workshop overview. BMC Bioinform. 20(1): 43:1 (2019) - [j13]Robert Searles, Sunita Chandrasekaran, Wayne Joubert, Oscar R. Hernandez:
MPI + OpenACC: Accelerating radiation transport mini-application, minisweep, on heterogeneous systems. Comput. Phys. Commun. 236: 176-187 (2019) - [j12]Robert Searles, Stephen Herbein, Travis Johnston, Michela Taufer, Sunita Chandrasekaran:
Creating a portable, high-level graph analytics paradigm for compute and data-intensive applications. Int. J. High Perform. Comput. Netw. 13(1): 105-118 (2019) - [j11]Millad Ghane, Sunita Chandrasekaran, Margaret S. Cheung:
pointerchain: Tracing pointers to their roots - A case study in molecular dynamics simulations. Parallel Comput. 85: 190-203 (2019) - [j10]Jose Monsalve Diaz, Kyle Friedline, Swaroop Pophale, Oscar R. Hernandez, David E. Bernholdt, Sunita Chandrasekaran:
Analysis of OpenMP 4.5 Offloading in Implementations: Correctness and Overhead. Parallel Comput. 89 (2019) - [c34]Joshua Hoke Davis, Tao Gao, Sunita Chandrasekaran, 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: 287-298 - [c33]Millad Ghane, Sunita Chandrasekaran, Margaret S. Cheung:
Gecko: Hierarchical Distributed View of Heterogeneous Shared Memory Architectures. PMAM@PPoPP 2019: 21-30 - [e4]Sunita Chandrasekaran, Guido Juckeland, Sandra Wienke:
Accelerator Programming Using Directives - 5th International Workshop, WACCPD 2018, Dallas, TX, USA, November 11-17, 2018, Proceedings. Lecture Notes in Computer Science 11381, Springer 2019, ISBN 978-3-030-12273-7 [contents] - [i3]Joshua Hoke Davis, Tao Gao, Sunita Chandrasekaran, Michela Taufer:
Studying the Impact of Power Capping on MapReduce-based, Data-intensive Mini-applications on Intel KNL and KNM Architectures. CoRR abs/1903.11694 (2019) - [i2]Millad Ghane, Sunita Chandrasekaran, Margaret S. Cheung:
Assessing Performance Implications of Deep Copy Operations via Microbenchmarking. CoRR abs/1906.01128 (2019) - 2018
- [j9]Sunita Chandrasekaran, Eric Stahlberg:
Computational approaches for Cancer 2017 workshop overview. BMC Bioinform. 19-S(18): 487:1-487:2 (2018) - [j8]Sunita Chandrasekaran, Guido Juckeland, Meifeng Lin, Matthew Otten, Dirk Pleiter, John E. Stone, Juan Lucio-Vega, Michael Zingale, Fernanda S. Foertter:
Best Practices in Running Collaborative GPU Hackathons: Advancing Scientific Applications with a Sustained Impact. Comput. Sci. Eng. 20(4): 95-106 (2018) - [j7]Sunita Chandrasekaran, Antonio J. Peña:
Special issue on applications for the heterogeneous computing era 2017. Parallel Comput. 77: 125-127 (2018) - [j6]Michael Wolfe, Seyong Lee, Jungwon Kim, Xiaonan Tian, Rengan Xu, Barbara M. Chapman, Sunita Chandrasekaran:
The OpenACC data model: Preliminary study on its major challenges and implementations. Parallel Comput. 78: 15-27 (2018) - [c32]Jose Monsalve Diaz, Swaroop Pophale, Kyle Friedline, Oscar R. Hernandez, David E. Bernholdt, Sunita Chandrasekaran:
Evaluating Support for OpenMP Offload Features. ICPP Workshops 2018: 31:1-31:10 - [c31]Sunita Chandrasekaran, Antonio J. Peña, Min Si:
Introduction to AsHES 2018. IPDPS Workshops 2018: 520 - [c30]Jose Monsalve Diaz, Swaroop Pophale, Oscar R. Hernandez, David E. Bernholdt, Sunita Chandrasekaran:
OpenMP 4.5 Validation and Verification Suite for Device Offload. IWOMP 2018: 82-95 - [c29]Robert Searles, Sunita Chandrasekaran, Wayne Joubert, Oscar R. Hernandez:
Abstractions and Directives for Adapting Wavefront Algorithms to Future Architectures. PASC 2018: 4:1-4:10 - [e3]Sunita Chandrasekaran, Guido Juckeland:
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. Lecture Notes in Computer Science 10732, Springer 2018, ISBN 978-3-319-74895-5 [contents] - [i1]Millad Ghane, Jeff Larkin, Larry Shi, Sunita Chandrasekaran, Margaret S. Cheung:
Power and Energy-efficiency Roofline Model for GPUs. CoRR abs/1809.09206 (2018) - 2017
- [j5]Sunita Chandrasekaran, Antonio J. Peña:
Special Issue on Topics on Heterogeneous Computing. Parallel Comput. 68: 1-2 (2017) - [c28]Sunita Chandrasekaran:
Introduction to AsHES Workshop. IPDPS Workshops 2017: 660 - [c27]Michael Wolfe, Seyong Lee, Jungwon Kim, Xiaonan Tian, Rengan Xu, Sunita Chandrasekaran, Barbara M. Chapman:
Implementing the OpenACC Data Model. IPDPS Workshops 2017: 662-672 - [c26]Sergio Pino, Lori L. Pollock, Sunita Chandrasekaran:
Exploring Translation of OpenMP to OpenACC 2.5: Lessons Learned. IPDPS Workshops 2017: 673-682 - [c25]Cheng Wang, Sunita Chandrasekaran, Barbara M. Chapman:
An Efficient Data Layout Transformation Algorithm for Locality-Aware Parallel Sparse FFT. IA3@SC 2017: 8:1-8:4 - [c24]Kyle Friedline, Sunita Chandrasekaran, M. Graham Lopez, Oscar R. Hernandez:
OpenACC 2.5 Validation Testsuite Targeting Multiple Architectures. ISC Workshops 2017: 557-575 - 2016
- [j4]Xiaonan Tian, Rengan Xu, Yonghong Yan, Sunita Chandrasekaran, Deepak Eachempati, Barbara M. Chapman:
Compiler transformation of nested loops for general purpose GPUs. Concurr. Comput. Pract. Exp. 28(2): 537-556 (2016) - [c23]Suyang Zhu, Sunita Chandrasekaran, Peng Sun, Barbara M. Chapman, Marcus W. Winter, Tobias Schuele:
Exploring Task Parallelism for Heterogeneous Systems Using Multicore Task Management API. Euro-Par Workshops 2016: 697-708 - [c22]Cheng Wang, Sunita Chandrasekaran, Barbara M. Chapman:
cusFFT: A High-Performance Sparse Fast Fourier Transform Algorithm on GPUs. IPDPS 2016: 963-972 - [c21]Robert Searles, Stephen Herbein, Sunita Chandrasekaran:
A Portable, High-Level Graph Analytics Framework Targeting Distributed, Heterogeneous Systems. WACCPD@SC 2016: 79-88 - [c20]Rengan Xu, Sunita Chandrasekaran, Xiaonan Tian, Barbara M. Chapman:
An Analytical Model-Based Auto-tuning Framework for Locality-Aware Loop Scheduling. ISC 2016: 3-20 - [c19]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:
From Describing to Prescribing Parallelism: Translating the SPEC ACCEL OpenACC Suite to OpenMP Target Directives. ISC Workshops 2016: 470-488 - 2015
- [j3]Sunita Chandrasekaran, Barbara M. Chapman, Xinmin Tian, Yonghong Yan:
Programming Models, Languages, and Compilers for Manycore and Heterogeneous Architectures. Sci. Program. 2015: 376317:1 (2015) - [j2]Rengan Xu, Xiaonan Tian, Sunita Chandrasekaran, Barbara M. Chapman:
Multi-GPU Support on Single Node Using Directive-Based Programming Model. Sci. Program. 2015: 621730:1-621730:15 (2015) - [c18]Peng Sun, Sunita Chandrasekaran, Suyang Zhu, Barbara M. Chapman:
Deploying OpenMP Task Parallelism on Multicore Embedded Systems with MCA Task APIs. HPCC/CSS/ICESS 2015: 843-847 - [c17]Sunita Chandrasekaran:
PLC Introduction and Committees. IPDPS Workshops 2015: 656-657 - [c16]Peng Sun, Sunita Chandrasekaran, Barbara M. Chapman:
OpenMP-MCA: Leveraging Multiprocessor Embedded Systems Using Industry Standards. IPDPS Workshops 2015: 679-688 - [e2]Sunita Chandrasekaran, Fernanda S. Foertter:
Proceedings of the Second Workshop on Accelerator Programming using Directives, WACCPD 2015, Austin, Texas, USA, November 15, 2015. ACM 2015, ISBN 978-1-4503-4014-4 [contents] - 2014
- [c15]Cheng Wang, Rengan Xu, Sunita Chandrasekaran, Barbara M. Chapman, Oscar R. Hernandez:
A Validation Testsuite for OpenACC 1.0. IPDPS Workshops 2014: 1407-1416 - [c14]Rengan Xu, Xiaonan Tian, Sunita Chandrasekaran, Yonghong Yan, Barbara M. Chapman:
NAS Parallel Benchmarks for GPGPUs Using a Directive-Based Programming Model. LCPC 2014: 67-81 - [c13]Rengan Xu, Xiaonan Tian, Yonghong Yan, Sunita Chandrasekaran, Barbara M. Chapman:
Reduction Operations in Parallel Loops for GPGPUs. PMAM 2014: 10 - [c12]Rengan Xu, Maxime R. Hugues, Henri Calandra, Sunita Chandrasekaran, Barbara M. Chapman:
Accelerating Kirchhoff migration on GPU using directives. WACCPD@SC 2014: 37-46 - [c11]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:
SPEC ACCEL: A Standard Application Suite for Measuring Hardware Accelerator Performance. PMBS@SC 2014: 46-67 - [e1]Sunita Chandrasekaran, Fernanda S. Foertter, Oscar R. Hernandez:
Proceedings of the First Workshop on Accelerator Programming using Directives, WACCPD '14, New Orleans, Louisiana, USA, November 16-21, 2014. IEEE Computer Society 2014, ISBN 978-1-4799-7023-0 [contents] - 2013
- [j1]Sunita Chandrasekaran, Shilpa Shanbagh, Ramkumar Jayaraman, Douglas L. Maskell, Hui Yan Cheah:
C2FPGA - A dependency-timing graph design methodology. J. Parallel Distributed Comput. 73(11): 1417-1429 (2013) - [c10]Sayan Ghosh, Sunita Chandrasekaran, Barbara M. Chapman:
Statistical modeling of power/energy of scientific kernels on a multi-GPU system. IGCC 2013: 1-6 - [c9]Rengan Xu, Sunita Chandrasekaran, Barbara M. Chapman:
Exploring Programming Multi-GPUs Using OpenMP and OpenACC-Based Hybrid Model. IPDPS Workshops 2013: 1169-1176 - [c8]Xiaonan Tian, Rengan Xu, Yonghong Yan, Zhifeng Yun, Sunita Chandrasekaran, Barbara M. Chapman:
Compiling a High-Level Directive-Based Programming Model for GPGPUs. LCPC 2013: 105-120 - [c7]Cheng Wang, Sunita Chandrasekaran, Peng Sun, Barbara M. Chapman, Jim Holt:
Portable mapping of openMP to multicore embedded systems using MCA APIs. LCTES 2013: 153-162 - [c6]Cheng Wang, Sunita Chandrasekaran, Barbara M. Chapman, Jim Holt:
libEOMP: a portable OpenMP runtime library based on MCA APIs for embedded systems. PMAM 2013: 83-92 - [c5]Cheng Wang, Mauricio Araya-Polo, Sunita Chandrasekaran, Amik St.-Cyr, Barbara M. Chapman, Detlef Hohl:
Parallel sparse FFT. IA3@SC 2013: 10:1-10:8 - 2012
- [b1]Sunita Chandrasekaran:
Tools and algorithms for high-level algorithm mapping to FPGA. Nanyang Technological University, Singapore, 2012 - [c4]Cheng Wang, Sunita Chandrasekaran, Barbara M. Chapman:
An OpenMP 3.1 Validation Testsuite. IWOMP 2012: 237-249 - [c3]Sayan Ghosh, Sunita Chandrasekaran, Barbara M. Chapman:
Poster: Statistical Power and Energy Modeling of Multi-GPU Kernels. SC Companion 2012: 1516 - 2010
- [c2]Sunita Chandrasekaran, Shilpa Shanbagh, Douglas L. Maskell:
A dependency graph based methodology for parallelizing HLL applications on FPGA (abstract only). FPGA 2010: 286
2000 – 2009
- 2008
- [c1]Kevin A. Huck, Oscar R. Hernandez, Van Bui, Sunita Chandrasekaran, Barbara M. Chapman, Allen D. Malony, Lois C. McInnes, Boyana Norris:
Capturing performance knowledge for automated analysis. SC 2008: 49
Coauthor Index
Verónica G. Vergara Larrea
aka: Verónica G. Melesse Vergara
aka: Verónica G. Melesse Vergara