Alex Brooks, Nikoli Dryden , Hoang-Vu Dang, Andrew Siegel, and Marc Snir. “Simple and Fast Monte Carlo Particle Transport Algorithms.” In preparation.
Nikoli Dryden , Naoya Maruyama, Tim Moon, Tom Benson, Marc Snir, and Brian Van Essen. “Channel and Filter Parallelism for Large-Scale CNN Training.” To appear at Supercomputing 2019 .Nikoli Dryden , Naoya Maruyama, Tom Benson, Tim Moon, Marc Snir, and Brian Van Essen. “Improving Strong-Scaling of CNN Training by Exploiting Finer-Grained Parallelism.” IPDPS 2019 .Nikoli Dryden , Naoya Maruyama, Tim Moon, Tom Benson, Andy Yoo, Marc Snir, and Brian Van Essen. “Aluminum: An Asynchronous, GPU-Aware Communication Library Optimized for Large-Scale Training of Deep Nueral Networks on HPC Systems.” MLHPC 2018 . IEEE, 2018.Chen Wang, Nikoli Dryden , Franck Cappello, and Marc Snir. “Neural network based silent error detector.” Cluster 2018 . IEEE, 2018. (Best Paper )
Roshan Dathathri, Gurbinder Gill, Loc Hoang, Hoang-Vu Dang, Alex Brooks, Nikoli Dryden , Andrew Lenharth, Marc Snir, Keshav Pingali. “Gluon: A Communication Optimizing Framework for Distributed Heterogeneous Graph Analytics.” PLDI 2018 . ACM, 2018.
Hoang-Vu Dang, Roshan Dathathri, Gurbinder Gill, Alex Brooks, Nikoli Dryden , Andrew Lenharth, Loc Hoang, Keshav Pingali, and Marc Snir. “A Lightweight Message Passing Runtime for Distributed Graph Analytics.” IPDPS 2018 . IEEE, 2018.
Sam Adé Jacobs, Nikoli Dryden , Roger Pearce, and Brian Van Essen. “Towards Scalable Parallel Training of Deep Neural Networks.” MLHPC 2017 . IEEE, 2017.
Nikoli Dryden , Tim Moon, Sam Ade Jacobs, and Brian Van Essen. “Communication Quantization for Data-parallel Training of Deep Neural Networks.” MLHPC 2016 . IEEE, 2016.Alex Brooks, Hoang-Vu Dang, Nikoli Dryden , and Marc Snir. “PPL: An abstract runtime system for hybrid parallel programming.” ESPM2 2015 . ACM, 2015.
Nikoli Dryden . “PGDB: A Debugger for MPI Applications.” XSEDE 2014 . ACM, 2014.