Roshan Dathathri

According to our database, Roshan Dathathri authored at least 27 papers between 2013 and 2024.

Collaborative distances:

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

2024

Kimbap: A Node-Property Map System for Distributed Graph Analytics.

Hochan Lee, Roshan Dathathri, Keshav Pingali

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2021

CuSP: A Customizable Streaming Edge Partitioner for Distributed Graph Analytics.

Loc Hoang, Roshan Dathathri, Gurbinder Gill, Keshav Pingali

ACM SIGOPS Oper. Syst. Rev., 2021

Optimizing Graph Transformer Networks with Graph-based Techniques.

Loc Hoang, Udit Agarwal, Gurbinder Gill, Roshan Dathathri, Abhik Seal, Brian Martin, Keshav Pingali

CoRR, 2021

Distributed Training of Embeddings using Graph Analytics.

Gurbinder Gill, Roshan Dathathri, Saeed Maleki, Madan Musuvathi, Todd Mytkowicz, Olli Saarikivi

Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

Sandslash: a two-level framework for efficient graph pattern mining.

Xuhao Chen, Roshan Dathathri, Gurbinder Gill, Loc Hoang, Keshav Pingali

Proceedings of the ICS '21: 2021 International Conference on Supercomputing, 2021

2020

Single Machine Graph Analytics on Massive Datasets Using Intel Optane DC Persistent Memory.

Gurbinder Gill, Roshan Dathathri, Loc Hoang, Ramesh Peri, Keshav Pingali

Proc. VLDB Endow., 2020

Pangolin: An Efficient and Flexible Graph Mining System on CPU and GPU.

Xuhao Chen, Roshan Dathathri, Gurbinder Gill, Keshav Pingali

Proc. VLDB Endow., 2020

EVA: an encrypted vector arithmetic language and compiler for efficient homomorphic computation.

Roshan Dathathri, Blagovesta Kostova, Olli Saarikivi, Wei Dai, Kim Laine, Madan Musuvathi

Proceedings of the 41st ACM SIGPLAN International Conference on Programming Language Design and Implementation, 2020

A Study of Graph Analytics for Massive Datasets on Distributed Multi-GPUs.

Vishwesh Jatala, Roshan Dathathri, Gurbinder Gill, Loc Hoang, V. Krishna Nandivada, Keshav Pingali

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

A Study of APIs for Graph Analytics Workloads.

Hochan Lee, David C. Wong, Loc Hoang, Roshan Dathathri, Gurbinder Gill, Vishwesh Jatala, David Kuck, Keshav Pingali

Proceedings of the IEEE International Symposium on Workload Characterization, 2020

Evaluation of Graph Analytics Frameworks Using the GAP Benchmark Suite.

Ariful Azad, Mohsen Mahmoudi Aznaveh, Scott Beamer, Mark P. Blanco, Jinhao Chen, Luke D'Alessandro, Roshan Dathathri, Timothy A. Davis, Kevin Deweese, Jesun Firoz, Henry A. Gabb, Gurbinder Gill, Bálint Hegyi, Scott P. Kolodziej, Tze Meng Low, Andrew Lumsdaine, Tugsbayasgalan Manlaibaatar, Timothy G. Mattson, Scott McMillan, Ramesh Peri, Keshav Pingali, Upasana Sridhar, Gábor Szárnyas, Yunming Zhang, Yongzhe Zhang

Proceedings of the IEEE International Symposium on Workload Characterization, 2020

2019

An Adaptive Load Balancer For Graph Analytical Applications on GPUs.

Vishwesh Jatala, Loc Hoang, Roshan Dathathri, Gurbinder Gill, V. Krishna Nandivada, Keshav Pingali

CoRR, 2019

Distributed Word2Vec using Graph Analytics Frameworks.

Gurbinder Gill, Roshan Dathathri, Saeed Maleki, Madan Musuvathi, Todd Mytkowicz, Olli Saarikivi

CoRR, 2019

A round-efficient distributed betweenness centrality algorithm.

Loc Hoang, Matteo Pontecorvi, Roshan Dathathri, Gurbinder Gill, Bozhi You, Keshav Pingali, Vijaya Ramachandran

Proceedings of the 24th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2019

CHET: an optimizing compiler for fully-homomorphic neural-network inferencing.

Roshan Dathathri, Olli Saarikivi, Hao Chen, Kim Laine, Kristin E. Lauter, Saeed Maleki, Madanlal Musuvathi, Todd Mytkowicz

Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2019

DistTC: High Performance Distributed Triangle Counting.

Loc Hoang, Vishwesh Jatala, Xuhao Chen, Udit Agarwal, Roshan Dathathri, Gurbinder Gill, Keshav Pingali

Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

Phoenix: A Substrate for Resilient Distributed Graph Analytics.

Roshan Dathathri, Gurbinder Gill, Loc Hoang, Keshav Pingali

Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 2019

Gluon-Async: A Bulk-Asynchronous System for Distributed and Heterogeneous Graph Analytics.

Roshan Dathathri, Gurbinder Gill, Loc Hoang, Vishwesh Jatala, Keshav Pingali, V. Krishna Nandivada, Hoang-Vu Dang, Marc Snir

Proceedings of the 28th International Conference on Parallel Architectures and Compilation Techniques, 2019

2018

A Study of Partitioning Policies for Graph Analytics on Large-scale Distributed Platforms.

Gurbinder Gill, Roshan Dathathri, Loc Hoang, Keshav Pingali

Proc. VLDB Endow., 2018

CHET: Compiler and Runtime for Homomorphic Evaluation of Tensor Programs.

Roshan Dathathri, Olli Saarikivi, Hao Chen, Kim Laine, Kristin E. Lauter, Saeed Maleki, Madanlal Musuvathi, Todd Mytkowicz

CoRR, 2018

Gluon: a communication-optimizing substrate for distributed heterogeneous graph analytics.

Roshan Dathathri, Gurbinder Gill, Loc Hoang, Hoang-Vu Dang, Alex Brooks, Nikoli Dryden, Marc Snir, Keshav Pingali

Proceedings of the 39th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2018

A Lightweight Communication Runtime for Distributed Graph Analytics.

Hoang-Vu Dang, Roshan Dathathri, Gurbinder Gill, Alex Brooks, Nikoli Dryden, Andrew Lenharth, Loc Hoang, Keshav Pingali, Marc Snir

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

Abelian: A Compiler for Graph Analytics on Distributed, Heterogeneous Platforms.

Gurbinder Gill, Roshan Dathathri, Loc Hoang, Andrew Lenharth, Keshav Pingali

Proceedings of the Euro-Par 2018: Parallel Processing, 2018

2017

Sandpiper: Scaling probabilistic inferencing to large scale graphical models.

Alexander Ulanov, Manish Marwah, Mijung Kim, Roshan Dathathri, Carlos Zubieta, Jun Li

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Compiling Affine Loop Nests for a Dynamic Scheduling Runtime on Shared and Distributed Memory.

Roshan Dathathri, Ravi Teja Mullapudi, Uday Bondhugula

ACM Trans. Parallel Comput., 2016

2015

Distributed memory code generation for mixed Irregular/Regular computations.

Mahesh Ravishankar, Roshan Dathathri, Venmugil Elango, Louis-Noël Pouchet, J. Ramanujam, Atanas Rountev, P. Sadayappan

Proceedings of the 20th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2015

2013

Generating efficient data movement code for heterogeneous architectures with distributed-memory.

Roshan Dathathri, Chandan Reddy, Thejas Ramashekar, Uday Bondhugula

Proceedings of the 22nd International Conference on Parallel Architectures and Compilation Techniques, 2013