Accelerating financial applications on the GPU. - Scott Grauer-Gray; William Killian; Robert Searles; John Cavazos (GPGPU@ASPLOS, 2013)

A Portable, High-Level Graph Analytics Framework Targeting Distributed, Heterogeneous Systems. - Robert Searles; Stephen Herbein; Sunita Chandrasekaran (WACCPD@SC, 2016)

Parallelization of Machine Learning Applied to Call Graphs of Binaries for Malware Detection. - Robert Searles; Lifan Xu; William Killian; Tristan Vanderbruggen; Teague Forren; John Howe; Zachary Pearson; Corey Shannon; Joshua Simmons; John Cavazos (PDP, 2017)

Abstractions and Directives for Adapting Wavefront Algorithms to Future Architectures. - Robert Searles; Sunita Chandrasekaran; Wayne Joubert; Oscar R. Hernandez (PASC, 2018)

MPI + OpenACC: Accelerating radiation transport mini-application, minisweep, on heterogeneous systems. - Robert Searles; Sunita Chandrasekaran; Wayne Joubert; Oscar R. Hernandez (Comput. Phys. Commun., 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)

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)

SPEChpc 2021 Benchmark Suites for Modern HPC Systems. - Junjie Li 003; 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; et al. (ICPE (Companion), 2022)

OpenACC Acceleration of an Agent-Based Biological Simulation Framework. - Matt Stack; Paul Macklin; Robert Searles; Sunita Chandrasekaran (Comput. Sci. Eng., 2022)