Rahulkumar Gayatri

According to our database, Rahulkumar Gayatri authored at least 19 papers between 2012 and 2024.

Collaborative distances:

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

2024

Asynchronous-Many-Task Systems: Challenges and Opportunities - Scaling an AMR Astrophysics Code on Exascale machines using Kokkos and HPX.

Gregor Daiß, Patrick Diehl, Jiakun Yan, John K. Holmen, Rahulkumar Gayatri, Christoph Junghans, Alexander Straub, Jeff R. Hammond, Dominic Marcello, Miwako Tsuji, Dirk Pflüger, Hartmut Kaiser

CoRR, 2024

Scaling and performance portability of the particle-in-cell scheme for plasma physics applications through mini-apps targeting exascale architectures.

Sriramkrishnan Muralikrishnan, Matthias Frey, Alessandro Vinciguerra, Michael Ligotino, Antoine J. Cerfon, Miroslav Stoyanov, Rahulkumar Gayatri, Andreas Adelmann

Proceedings of the 2024 SIAM Conference on Parallel Processing for Scientific Computing, 2024

2023

The Kokkos OpenMPTarget Backend: Implementation and Lessons Learned.

Rahulkumar Gayatri, Stephen L. Olivier, Christian R. Trott, Johannes Doerfert, Jan Ciesko, Damien Lebrun-Grandié

Proceedings of the OpenMP: Advanced Task-Based, Device and Compiler Programming, 2023

2022

Kokkos 3: Programming Model Extensions for the Exascale Era.

Christian R. Trott, Damien Lebrun-Grandié, Daniel Arndt, Jan Ciesko, Vinh Q. Dang, Nathan D. Ellingwood, Rahulkumar Gayatri, Evan Harvey, Daisy S. Hollman, Dan Ibanez, Nevin Liber, Jonathan R. Madsen, Jeff Miles, David Poliakoff, Amy Powell, Sivasankaran Rajamanickam, Mikael Simberg, Dan Sunderland, Bruno Turcksin, Jeremiah J. Wilke

IEEE Trans. Parallel Distributed Syst., 2022

ALPINE: A set of performance portable plasma physics particle-in-cell mini-apps for exascale computing.

Sriramkrishnan Muralikrishnan, Matthias Frey, Alessandro Vinciguerra, Michael Ligotino, Antoine J. Cerfon, Miroslav Stoyanov, Rahulkumar Gayatri, Andreas Adelmann

CoRR, 2022

A Methodology for Evaluating Tightly-integrated and Disaggregated Accelerated Architectures.

Taylor L. Groves, Christopher S. Daley, Rahulkumar Gayatri, Hai Ah Nam, Nan Ding, Lenny Oliker, Nicholas J. Wright, Samuel Williams

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

2021

Billion atom molecular dynamics simulations of carbon at extreme conditions and experimental time and length scales.

Kien Nguyen-Cong, Jonathan T. Willman, Stan G. Moore, Anatoly B. Belonoshko, Rahulkumar Gayatri, Evan Weinberg, Mitchell A. Wood, Aidan P. Thompson, Ivan I. Oleynik

Proceedings of the International Conference for High Performance Computing, 2021

Non-recurring engineering (NRE) best practices: a case study with the NERSC/NVIDIA OpenMP contract.

Christopher S. Daley, Annemarie Southwell, Rahulkumar Gayatri, Scott Biersdorfff, Craig Toepfer, Güray Özen, Nicholas J. Wright

Proceedings of the International Conference for High Performance Computing, 2021

Case Study of Using Kokkos and SYCL as Performance-Portable Frameworks for Milc-Dslash Benchmark on NVIDIA, AMD and Intel GPUs.

Amanda S. Dufek, Rahulkumar Gayatri, Neil A. Mehta, Douglas Doerfler, Brandon Cook, Yasaman Ghadar, Carleton DeTar

Proceedings of the International Workshop on Performance, 2021

2020

Rapid Exploration of Optimization Strategies on Advanced Architectures using TestSNAP and LAMMPS.

Rahulkumar Gayatri, Stan G. Moore, Evan Weinberg, Nicholas Lubbers, Sarah Anderson, Jack Deslippe, Danny Perez, Aidan P. Thompson

CoRR, 2020

Experiences in porting mini-applications to OpenACC and OpenMP on heterogeneous systems.

Verónica G. Vergara Larrea, Reuben D. Budiardja, Rahulkumar Gayatri, Christopher S. Daley, Oscar R. Hernandez, Wayne Joubert

Concurr. Comput. Pract. Exp., 2020

Timemory: Modular Performance Analysis for HPC.

Jonathan R. Madsen, Muaaz G. Awan, Hugo Brunie, Jack Deslippe, Rahulkumar Gayatri, Leonid Oliker, Yunsong Wang, Charlene Yang, Samuel Williams

Proceedings of the High Performance Computing - 35th International Conference, 2020

Evaluating Performance Portability of OpenMP for SNAP on NVIDIA, Intel, and AMD GPUs Using the Roofline Methodology.

Neil A. Mehta, Rahulkumar Gayatri, Yasaman Ghadar, Christopher Knight, Jack Deslippe

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

2019

Comparing Managed Memory and ATS with and without Prefetching on NVIDIA Volta GPUs.

Rahulkumar Gayatri, Kevin Gott, Jack Deslippe

Proceedings of the 2019 IEEE/ACM Performance Modeling, 2019

2018

A Novel Multi-level Integrated Roofline Model Approach for Performance Characterization.

Tuomas Koskela, Zakhar Matveev, Charlene Yang, Adetokunbo Adedoyin, Roman Belenov, Philippe Thierry, Zhengji Zhao, Rahulkumar Gayatri, Hongzhang Shan, Leonid Oliker, Jack Deslippe, Ron Green, Samuel Williams

Proceedings of the High Performance Computing - 33rd International Conference, 2018

A Case Study for Performance Portability Using OpenMP 4.5.

Rahulkumar Gayatri, Charlene Yang, Thorsten Kurth, Jack Deslippe

Proceedings of the Accelerator Programming Using Directives - 5th International Workshop, 2018

2014

TERAFLUX: Harnessing dataflow in next generation teradevices.

Roberto Giorgi, Rosa M. Badia, François Bodin, Albert Cohen, Paraskevas Evripidou, Paolo Faraboschi, Bernhard Fechner, Guang R. Gao, Arne Garbade, Rahulkumar Gayatri, Sylvain Girbal, Daniel Goodman, Behram Khan, Souad Koliai, Joshua Landwehr, Nhat Minh Lê, Feng Li, Mikel Luján, Avi Mendelson, Laurent Morin, Nacho Navarro, Tomasz Patejko, Antoniu Pop, Pedro Trancoso, Theo Ungerer, Ian Watson, Sebastian Weis, Stéphane Zuckerman, Mateo Valero

Microprocess. Microsystems, 2014

2013

Loop level speculation in a task based programming model.

Rahulkumar Gayatri, Rosa M. Badia, Eduard Ayguadé

Proceedings of the 20th Annual International Conference on High Performance Computing, 2013

2012

Transactional Access to Shared Memory in StarSs, a Task Based Programming Model.

Rahulkumar Gayatri, Rosa M. Badia, Eduard Ayguadé, Mikel Luján, Ian Watson

Proceedings of the Euro-Par 2012 Parallel Processing - 18th International Conference, 2012