Transactional Access to Shared Memory in StarSs, a Task Based Programming Model. - Rahulkumar Gayatri; Rosa M. Badia; Eduard Ayguadé; Mikel Luján; Ian Watson (Euro-Par, 2012)

Loop level speculation in a task based programming model. - Rahulkumar Gayatri; Rosa M. Badia; Eduard Ayguadé (HiPC, 2013)

TERAFLUX: Harnessing dataflow in next generation teradevices. - Roberto Giorgi; Rosa M. Badia; François Bodin; Albert Cohen 001; Paraskevas Evripidou; Paolo Faraboschi; Bernhard Fechner; Guang R. Gao; Arne Garbade; Rahulkumar Gayatri; Sylvain Girbal; Daniel Goodman 001; et al. (Microprocess. Microsystems, 2014)

A Case Study for Performance Portability Using OpenMP 4.5. - Rahulkumar Gayatri; Charlene Yang; Thorsten Kurth; Jack Deslippe (WACCPD@SC, 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; et al. (ISC, 2018)

Comparing Managed Memory and ATS with and without Prefetching on NVIDIA Volta GPUs. - Rahulkumar Gayatri; Kevin Gott; Jack Deslippe (PMBS@SC, 2019)

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 001; Jack Deslippe (WACCPD@SC, 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 001 (ISC, 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)

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)

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 001; Yasaman Ghadar; Carleton DeTar (P3HPC@SC, 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 (SC, 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 (SC, 2021)

A Methodology for Evaluating Tightly-integrated and Disaggregated Accelerated Architectures. - Taylor L. Groves; Christopher S. Daley; Rahulkumar Gayatri; Hai Ah Nam; Nan Ding 006; Lenny Oliker; Nicholas J. Wright; Samuel Williams 001 (PMBS@SC, 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)

Kokkos 3: Programming Model Extensions for the Exascale Era. - Christian R. Trott; Damien Lebrun-Grandié; Daniel Arndt 003; Jan Ciesko; Vinh Q. Dang; Nathan D. Ellingwood; Rahulkumar Gayatri; Evan Harvey; Daisy S. Hollman; Dan Ibanez; Nevin Liber; Jonathan R. Madsen; et al. (IEEE Trans. Parallel Distributed Syst., 2022)

The Kokkos OpenMPTarget Backend: Implementation and Lessons Learned. - Rahulkumar Gayatri; Stephen L. Olivier; Christian R. Trott; Johannes Doerfert; Jan Ciesko; Damien Lebrun-Grandié (IWOMP, 2023)

Leveraging LLVM OpenMP GPU Offload Optimizations for Kokkos Applications. - Rahulkumar Gayatri; Shilei Tian; Stephen L. Olivier; Eric Wright; Johannes Doerfert (HiPC, 2024)

A Performance Analysis of GPU-Aware MPI Implementations Over the Slingshot-11 Interconnect. - Michael Beebe; Rahulkumar Gayatri; Kevin Gott; Adam Lavely; Muhammad Haseeb; Brandon Cook 001; Yong Chen 001 (HPEC, 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 (PP, 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)