Roshan Dathathri

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 30

Top Topics

Distributed Heterogeneous

Massive Datasets

Top Venues

Proc. VLDB Endow.

Publications

Hochan Lee, Roshan Dathathri, Keshav Pingali
Kimbap: A Node-Property Map System for Distributed Graph Analytics. ASPLOS (2) (2024)
Loc Hoang, Roshan Dathathri, Gurbinder Gill, Keshav Pingali
CuSP: A Customizable Streaming Edge Partitioner for Distributed Graph Analytics. ACM SIGOPS Oper. Syst. Rev. 55 (1) (2021)
Gurbinder Gill, Roshan Dathathri, Saeed Maleki, Madan Musuvathi, Todd Mytkowicz, Olli Saarikivi
Distributed Training of Embeddings using Graph Analytics. IPDPS (2021)
Xuhao Chen, Roshan Dathathri, Gurbinder Gill, Loc Hoang, Keshav Pingali
Sandslash: a two-level framework for efficient graph pattern mining. ICS (2021)
Loc Hoang, Udit Agarwal, Gurbinder Gill, Roshan Dathathri, Abhik Seal, Brian Martin, Keshav Pingali
Optimizing Graph Transformer Networks with Graph-based Techniques. CoRR (2021)
Xuhao Chen, Roshan Dathathri, Gurbinder Gill, Keshav Pingali
Pangolin: An Efficient and Flexible Graph Mining System on CPU and GPU. Proc. VLDB Endow. 13 (8) (2020)
Ariful Azad, Mohsen Mahmoudi Aznaveh, Scott Beamer, Mark P. Blanco, Jinhao Chen, Luke D'Alessandro, Roshan Dathathri, Tim 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
Evaluation of Graph Analytics Frameworks Using the GAP Benchmark Suite. IISWC (2020)
Gurbinder Gill, Roshan Dathathri, Loc Hoang, Ramesh Peri, Keshav Pingali
Single Machine Graph Analytics on Massive Datasets Using Intel Optane DC Persistent Memory. Proc. VLDB Endow. 13 (8) (2020)
Xuhao Chen, Roshan Dathathri, Gurbinder Gill, Loc Hoang, Keshav Pingali
Sandslash: A Two-Level Framework for Efficient Graph Pattern Mining. CoRR (2020)
Hochan Lee, David Wong, Loc Hoang, Roshan Dathathri, Gurbinder Gill, Vishwesh Jatala, David Kuck, Keshav Pingali
A Study of APIs for Graph Analytics Workloads. IISWC (2020)
Roshan Dathathri, Blagovesta Kostova, Olli Saarikivi, Wei Dai, Kim Laine, Madan Musuvathi
EVA: an encrypted vector arithmetic language and compiler for efficient homomorphic computation. PLDI (2020)
Vishwesh Jatala, Roshan Dathathri, Gurbinder Gill, Loc Hoang, V. Krishna Nandivada, Keshav Pingali
A Study of Graph Analytics for Massive Datasets on Distributed Multi-GPUs. IPDPS (2020)
Loc Hoang, Vishwesh Jatala, Xuhao Chen, Udit Agarwal, Roshan Dathathri, Gurbinder Gill, Keshav Pingali
DistTC: High Performance Distributed Triangle Counting. HPEC (2019)
Roshan Dathathri, Olli Saarikivi, Hao Chen, Kim Laine, Kristin E. Lauter, Saeed Maleki, Madanlal Musuvathi, Todd Mytkowicz
CHET: an optimizing compiler for fully-homomorphic neural-network inferencing. PLDI (2019)
Roshan Dathathri, Gurbinder Gill, Loc Hoang, Keshav Pingali
Phoenix: A Substrate for Resilient Distributed Graph Analytics. ASPLOS (2019)
Roshan Dathathri, Blagovesta Kostova, Olli Saarikivi, Wei Dai, Kim Laine, Madanlal Musuvathi
EVA: An Encrypted Vector Arithmetic Language and Compiler for Efficient Homomorphic Computation. CoRR (2019)
Loc Hoang, Roshan Dathathri, Gurbinder Gill, Keshav Pingali
CuSP: A Customizable Streaming Edge Partitioner for Distributed Graph Analytics. IPDPS (2019)
Gurbinder Gill, Roshan Dathathri, Loc Hoang, Ramesh Peri, Keshav Pingali
Single Machine Graph Analytics on Massive Datasets Using Intel Optane DC Persistent Memory. CoRR (2019)
Gurbinder Gill, Roshan Dathathri, Saeed Maleki, Madan Musuvathi, Todd Mytkowicz, Olli Saarikivi
Distributed Word2Vec using Graph Analytics Frameworks. CoRR (2019)
Roshan Dathathri, Gurbinder Gill, Loc Hoang, Vishwesh Jatala, Keshav Pingali, V. Krishna Nandivada, Hoang-Vu Dang, Marc Snir
Gluon-Async: A Bulk-Asynchronous System for Distributed and Heterogeneous Graph Analytics. PACT (2019)
Loc Hoang, Matteo Pontecorvi, Roshan Dathathri, Gurbinder Gill, Bozhi You, Keshav Pingali, Vijaya Ramachandran
A round-efficient distributed betweenness centrality algorithm. PPoPP (2019)
Xuhao Chen, Roshan Dathathri, Gurbinder Gill, Keshav Pingali
Pangolin: An Efficient and Flexible Graph Mining System on CPU and GPU. CoRR (2019)
Vishwesh Jatala, Loc Hoang, Roshan Dathathri, Gurbinder Gill, V. Krishna Nandivada, Keshav Pingali
An Adaptive Load Balancer For Graph Analytical Applications on GPUs. CoRR (2019)
Roshan Dathathri, Olli Saarikivi, Hao Chen, Kim Laine, Kristin E. Lauter, Saeed Maleki, Madanlal Musuvathi, Todd Mytkowicz
CHET: Compiler and Runtime for Homomorphic Evaluation of Tensor Programs. CoRR (2018)
Gurbinder Gill, Roshan Dathathri, Loc Hoang, Andrew Lenharth, Keshav Pingali
Abelian: A Compiler for Graph Analytics on Distributed, Heterogeneous Platforms. Euro-Par (2018)
Hoang-Vu Dang, Roshan Dathathri, Gurbinder Gill, Alex Brooks, Nikoli Dryden, Andrew Lenharth, Loc Hoang, Keshav Pingali, Marc Snir
A Lightweight Communication Runtime for Distributed Graph Analytics. IPDPS (2018)
Gurbinder Gill, Roshan Dathathri, Loc Hoang, Keshav Pingali
A Study of Partitioning Policies for Graph Analytics on Large-scale Distributed Platforms. Proc. VLDB Endow. 12 (4) (2018)
Roshan Dathathri, Gurbinder Gill, Loc Hoang, Hoang-Vu Dang, Alex Brooks, Nikoli Dryden, Marc Snir, Keshav Pingali
Gluon: a communication-optimizing substrate for distributed heterogeneous graph analytics. PLDI (2018)
Alexander Ulanov, Manish Marwah, Mijung Kim, Roshan Dathathri, Carlos Zubieta, Jun Li
Sandpiper: Scaling probabilistic inferencing to large scale graphical models. IEEE BigData (2017)
Roshan Dathathri, Ravi Teja Mullapudi, Uday Bondhugula
Compiling Affine Loop Nests for a Dynamic Scheduling Runtime on Shared and Distributed Memory. ACM Trans. Parallel Comput. 3 (2) (2016)
Mahesh Ravishankar, Roshan Dathathri, Venmugil Elango, Louis-Noël Pouchet, J. Ramanujam, Atanas Rountev, P. Sadayappan
Distributed memory code generation for mixed Irregular/Regular computations. PPOPP (2015)
Roshan Dathathri, Chandan Reddy, Thejas Ramashekar, Uday Bondhugula
Generating efficient data movement code for heterogeneous architectures with distributed-memory. PACT (2013)