Rahulkumar Gayatri

23 papers A 2C 2Misc 2Journal 7Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Asynchronous-many-task systems: Challenges and opportunities - Scaling an AMR astrophysics code on exascale machines using Kokkos and HPX.
Int. J. High Perform. Comput. Appl.
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
2025 — conf
Evaluating LLVM OpenMP Offload Optimizations on NVIDIA GH200 Grace Hopper Superchip and AMD Instinct™ MI300A Accelerator Architectures.
IWOMP
Kevin Sala, Stephen L. Olivier, Rahulkumar Gayatri, Shilei Tian, Johannes Doerfert
2024 — conf
A Performance Analysis of GPU-Aware MPI Implementations Over the Slingshot-11 Interconnect.
HPEC
Michael Beebe, Rahulkumar Gayatri, Kevin Gott, Adam Lavely, Muhammad Haseeb, Brandon Cook, Yong Chen
2024 J jnl
Asynchronous-Many-Task Systems: Challenges and Opportunities - Scaling an AMR Astrophysics Code on Exascale machines using Kokkos and HPX.
CoRR
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
2024 Misc conf
Leveraging LLVM OpenMP GPU Offload Optimizations for Kokkos Applications.
HiPC
Rahulkumar Gayatri, Shilei Tian, Stephen L. Olivier, Eric Wright, Johannes Doerfert
2024 — conf
Scaling and performance portability of the particle-in-cell scheme for plasma physics applications through mini-apps targeting exascale architectures.
PP
Sriramkrishnan Muralikrishnan, Matthias Frey, Alessandro Vinciguerra, Michael Ligotino, Antoine J. Cerfon, Miroslav Stoyanov, Rahulkumar Gayatri, Andreas Adelmann
2023 — conf
The Kokkos OpenMPTarget Backend: Implementation and Lessons Learned.
IWOMP
Rahulkumar Gayatri, Stephen L. Olivier, Christian R. Trott, Johannes Doerfert, Jan Ciesko, Damien Lebrun-Grandié
2022 — conf
A Methodology for Evaluating Tightly-integrated and Disaggregated Accelerated Architectures.
PMBS@SC
Taylor L. Groves, Christopher S. Daley, Rahulkumar Gayatri, Hai Ah Nam, Nan Ding, Lenny Oliker, Nicholas J. Wright, Samuel Williams
2022 J jnl
ALPINE: A set of performance portable plasma physics particle-in-cell mini-apps for exascale computing.
CoRR
Sriramkrishnan Muralikrishnan, Matthias Frey, Alessandro Vinciguerra, Michael Ligotino, Antoine J. Cerfon, Miroslav Stoyanov, Rahulkumar Gayatri, Andreas Adelmann
2022 J jnl
Kokkos 3: Programming Model Extensions for the Exascale Era.
IEEE Trans. Parallel Distributed Syst.
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
2021 A conf
Billion atom molecular dynamics simulations of carbon at extreme conditions and experimental time and length scales.
SC
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
2021 — conf
Case Study of Using Kokkos and SYCL as Performance-Portable Frameworks for Milc-Dslash Benchmark on NVIDIA, AMD and Intel GPUs.
P3HPC@SC
Amanda S. Dufek, Rahulkumar Gayatri, Neil A. Mehta, Douglas Doerfler, Brandon Cook, Yasaman Ghadar, Carleton DeTar
2021 A conf
Non-recurring engineering (NRE) best practices: a case study with the NERSC/NVIDIA OpenMP contract.
SC
Christopher S. Daley, Annemarie Southwell, Rahulkumar Gayatri, Scott Biersdorfff, Craig Toepfer, Güray Özen, Nicholas J. Wright
2020 — conf
Evaluating Performance Portability of OpenMP for SNAP on NVIDIA, Intel, and AMD GPUs Using the Roofline Methodology.
WACCPD@SC
Neil A. Mehta, Rahulkumar Gayatri, Yasaman Ghadar, Christopher Knight, Jack Deslippe
2020 J jnl
Experiences in porting mini-applications to OpenACC and OpenMP on heterogeneous systems.
Concurr. Comput. Pract. Exp.
Verónica G. Vergara Larrea, Reuben D. Budiardja, Rahulkumar Gayatri, Christopher S. Daley, Oscar R. Hernandez, Wayne Joubert
2020 J jnl
Rapid Exploration of Optimization Strategies on Advanced Architectures using TestSNAP and LAMMPS.
CoRR
Rahulkumar Gayatri, Stan G. Moore, Evan Weinberg, Nicholas Lubbers, Sarah Anderson, Jack Deslippe, Danny Perez, Aidan P. Thompson
2020 C conf
Timemory: Modular Performance Analysis for HPC.
ISC
Jonathan R. Madsen, Muaaz G. Awan, Hugo Brunie, Jack Deslippe, Rahulkumar Gayatri, Leonid Oliker, Yunsong Wang, Charlene Yang, Samuel Williams
2019 — conf
Comparing Managed Memory and ATS with and without Prefetching on NVIDIA Volta GPUs.
PMBS@SC
Rahulkumar Gayatri, Kevin Gott, Jack Deslippe
2018 — conf
A Case Study for Performance Portability Using OpenMP 4.5.
WACCPD@SC
Rahulkumar Gayatri, Charlene Yang, Thorsten Kurth, Jack Deslippe
2018 C conf
A Novel Multi-level Integrated Roofline Model Approach for Performance Characterization.
ISC
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
2014 J jnl
TERAFLUX: Harnessing dataflow in next generation teradevices.
Microprocess. Microsystems
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
2013 Misc conf
Loop level speculation in a task based programming model.
HiPC
Rahulkumar Gayatri, Rosa M. Badia, Eduard Ayguadé
2012 — conf
Transactional Access to Shared Memory in StarSs, a Task Based Programming Model.
Euro-Par
Rahulkumar Gayatri, Rosa M. Badia, Eduard Ayguadé, Mikel Luján, Ian Watson