Roshan Dathathri

35 papers A* 4A 5B 4Journal 15Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	MSCCL++: Rethinking GPU Communication Abstractions for AI Inference. ASPLOS (2) Changho Hwang, Peng Cheng, Roshan Dathathri, Abhinav Jangda, Saeed Maleki, Madan Musuvathi, Olli Saarikivi, Aashaka Shah, Ziyue Yang, Binyang Li, Caio Rocha, Qinghua Zhou, Mahdieh Ghazimirsaeed, Sreevatsa Anantharamu, Jithin Jose
2025	J	`jnl`	Flashlight: PyTorch Compiler Extensions to Accelerate Attention Variants. CoRR Bozhi You, Irene Wang, Zelal Su Mustafaoglu, Abhinav Jangda, Angélica Moreira, Roshan Dathathri, Divya Mahajan, Keshav Pingali
2025	J	`jnl`	MSCCL++: Rethinking GPU Communication Abstractions for Cutting-edge AI Applications. CoRR Aashaka Shah, Abhinav Jangda, Binyang Li, Caio Rocha, Changho Hwang, Jithin Jose, Madan Musuvathi, Olli Saarikivi, Peng Cheng, Qinghua Zhou, Roshan Dathathri, Saeed Maleki, Ziyue Yang
2024	—	`conf`	Kimbap: A Node-Property Map System for Distributed Graph Analytics. ASPLOS (2) Hochan Lee, Roshan Dathathri, Keshav Pingali
2021	J	`jnl`	CuSP: A Customizable Streaming Edge Partitioner for Distributed Graph Analytics. ACM SIGOPS Oper. Syst. Rev. Loc Hoang, Roshan Dathathri, Gurbinder Gill, Keshav Pingali
2021	A	`conf`	Distributed Training of Embeddings using Graph Analytics. IPDPS Gurbinder Gill, Roshan Dathathri, Saeed Maleki, Madan Musuvathi, Todd Mytkowicz, Olli Saarikivi
2021	J	`jnl`	Optimizing Graph Transformer Networks with Graph-based Techniques. CoRR Loc Hoang, Udit Agarwal, Gurbinder Gill, Roshan Dathathri, Abhik Seal, Brian Martin, Keshav Pingali
2021	A	`conf`	Sandslash: a two-level framework for efficient graph pattern mining. ICS Xuhao Chen, Roshan Dathathri, Gurbinder Gill, Loc Hoang, Keshav Pingali
2020	—	`conf`	A Study of APIs for Graph Analytics Workloads. IISWC Hochan Lee, David C. Wong, Loc Hoang, Roshan Dathathri, Gurbinder Gill, Vishwesh Jatala, David Kuck, Keshav Pingali
2020	A	`conf`	A Study of Graph Analytics for Massive Datasets on Distributed Multi-GPUs. IPDPS Vishwesh Jatala, Roshan Dathathri, Gurbinder Gill, Loc Hoang, V. Krishna Nandivada, Keshav Pingali
2020	A*	`conf`	EVA: an encrypted vector arithmetic language and compiler for efficient homomorphic computation. PLDI Roshan Dathathri, Blagovesta Kostova, Olli Saarikivi, Wei Dai, Kim Laine, Madan Musuvathi
2020	—	`conf`	Evaluation of Graph Analytics Frameworks Using the GAP Benchmark Suite. IISWC 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
2020	J	`jnl`	Pangolin: An Efficient and Flexible Graph Mining System on CPU and GPU. Proc. VLDB Endow. Xuhao Chen, Roshan Dathathri, Gurbinder Gill, Keshav Pingali
2020	J	`jnl`	Sandslash: A Two-Level Framework for Efficient Graph Pattern Mining. CoRR Xuhao Chen, Roshan Dathathri, Gurbinder Gill, Loc Hoang, Keshav Pingali
2020	J	`jnl`	Single Machine Graph Analytics on Massive Datasets Using Intel Optane DC Persistent Memory. Proc. VLDB Endow. Gurbinder Gill, Roshan Dathathri, Loc Hoang, Ramesh Peri, Keshav Pingali
2019	B	`conf`	A round-efficient distributed betweenness centrality algorithm. PPoPP Loc Hoang, Matteo Pontecorvi, Roshan Dathathri, Gurbinder Gill, Bozhi You, Keshav Pingali, Vijaya Ramachandran
2019	J	`jnl`	An Adaptive Load Balancer For Graph Analytical Applications on GPUs. CoRR Vishwesh Jatala, Loc Hoang, Roshan Dathathri, Gurbinder Gill, V. Krishna Nandivada, Keshav Pingali
2019	A*	`conf`	CHET: an optimizing compiler for fully-homomorphic neural-network inferencing. PLDI Roshan Dathathri, Olli Saarikivi, Hao Chen, Kim Laine, Kristin E. Lauter, Saeed Maleki, Madanlal Musuvathi, Todd Mytkowicz
2019	A	`conf`	CuSP: A Customizable Streaming Edge Partitioner for Distributed Graph Analytics. IPDPS Loc Hoang, Roshan Dathathri, Gurbinder Gill, Keshav Pingali
2019	—	`conf`	DistTC: High Performance Distributed Triangle Counting. HPEC Loc Hoang, Vishwesh Jatala, Xuhao Chen, Udit Agarwal, Roshan Dathathri, Gurbinder Gill, Keshav Pingali
2019	J	`jnl`	Distributed Word2Vec using Graph Analytics Frameworks. CoRR Gurbinder Gill, Roshan Dathathri, Saeed Maleki, Madan Musuvathi, Todd Mytkowicz, Olli Saarikivi
2019	J	`jnl`	EVA: An Encrypted Vector Arithmetic Language and Compiler for Efficient Homomorphic Computation. CoRR Roshan Dathathri, Blagovesta Kostova, Olli Saarikivi, Wei Dai, Kim Laine, Madanlal Musuvathi
2019	B	`conf`	Gluon-Async: A Bulk-Asynchronous System for Distributed and Heterogeneous Graph Analytics. PACT Roshan Dathathri, Gurbinder Gill, Loc Hoang, Vishwesh Jatala, Keshav Pingali, V. Krishna Nandivada, Hoang-Vu Dang, Marc Snir
2019	J	`jnl`	Pangolin: An Efficient and Flexible Graph Mining System on CPU and GPU. CoRR Xuhao Chen, Roshan Dathathri, Gurbinder Gill, Keshav Pingali
2019	A*	`conf`	Phoenix: A Substrate for Resilient Distributed Graph Analytics. ASPLOS Roshan Dathathri, Gurbinder Gill, Loc Hoang, Keshav Pingali
2019	J	`jnl`	Single Machine Graph Analytics on Massive Datasets Using Intel Optane DC Persistent Memory. CoRR Gurbinder Gill, Roshan Dathathri, Loc Hoang, Ramesh Peri, Keshav Pingali
2018	A	`conf`	A Lightweight Communication Runtime for Distributed Graph Analytics. IPDPS Hoang-Vu Dang, Roshan Dathathri, Gurbinder Gill, Alex Brooks, Nikoli Dryden, Andrew Lenharth, Loc Hoang, Keshav Pingali, Marc Snir
2018	J	`jnl`	A Study of Partitioning Policies for Graph Analytics on Large-scale Distributed Platforms. Proc. VLDB Endow. Gurbinder Gill, Roshan Dathathri, Loc Hoang, Keshav Pingali
2018	—	`conf`	Abelian: A Compiler for Graph Analytics on Distributed, Heterogeneous Platforms. Euro-Par Gurbinder Gill, Roshan Dathathri, Loc Hoang, Andrew Lenharth, Keshav Pingali
2018	J	`jnl`	CHET: Compiler and Runtime for Homomorphic Evaluation of Tensor Programs. CoRR Roshan Dathathri, Olli Saarikivi, Hao Chen, Kim Laine, Kristin E. Lauter, Saeed Maleki, Madanlal Musuvathi, Todd Mytkowicz
2018	A*	`conf`	Gluon: a communication-optimizing substrate for distributed heterogeneous graph analytics. PLDI Roshan Dathathri, Gurbinder Gill, Loc Hoang, Hoang-Vu Dang, Alex Brooks, Nikoli Dryden, Marc Snir, Keshav Pingali
2017	—	`conf`	Sandpiper: Scaling probabilistic inferencing to large scale graphical models. IEEE BigData Alexander Ulanov, Manish Marwah, Mijung Kim, Roshan Dathathri, Carlos Zubieta, Jun Li
2016	J	`jnl`	Compiling Affine Loop Nests for a Dynamic Scheduling Runtime on Shared and Distributed Memory. ACM Trans. Parallel Comput. Roshan Dathathri, Ravi Teja Mullapudi, Uday Bondhugula
2015	B	`conf`	Distributed memory code generation for mixed Irregular/Regular computations. PPoPP Mahesh Ravishankar, Roshan Dathathri, Venmugil Elango, Louis-Noël Pouchet, J. Ramanujam, Atanas Rountev, P. Sadayappan
2013	B	`conf`	Generating efficient data movement code for heterogeneous architectures with distributed-memory. PACT Roshan Dathathri, Chandan Reddy, Thejas Ramashekar, Uday Bondhugula