Roshan Dathathri

According to our database1, Roshan Dathathri authored at least 26 papers between 2013 and 2021.

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Bibliography

2021
CuSP: A Customizable Streaming Edge Partitioner for Distributed Graph Analytics.
ACM SIGOPS Oper. Syst. Rev., 2021

Optimizing Graph Transformer Networks with Graph-based Techniques.
CoRR, 2021

Distributed Training of Embeddings using Graph Analytics.
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

Sandslash: a two-level framework for efficient graph pattern mining.
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.
Proc. VLDB Endow., 2020

Pangolin: An Efficient and Flexible Graph Mining System on CPU and GPU.
Proc. VLDB Endow., 2020

EVA: an encrypted vector arithmetic language and compiler for efficient homomorphic computation.
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.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

A Study of APIs for Graph Analytics Workloads.
Proceedings of the IEEE International Symposium on Workload Characterization, 2020


2019
An Adaptive Load Balancer For Graph Analytical Applications on GPUs.
CoRR, 2019

Distributed Word2Vec using Graph Analytics Frameworks.
CoRR, 2019

A round-efficient distributed betweenness centrality algorithm.
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.
Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2019

DistTC: High Performance Distributed Triangle Counting.
Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

Phoenix: A Substrate for Resilient Distributed Graph Analytics.
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.
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.
Proc. VLDB Endow., 2018

CHET: Compiler and Runtime for Homomorphic Evaluation of Tensor Programs.
CoRR, 2018

Gluon: a communication-optimizing substrate for distributed heterogeneous graph analytics.
Proceedings of the 39th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2018

A Lightweight Communication Runtime for Distributed Graph Analytics.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

Abelian: A Compiler for Graph Analytics on Distributed, Heterogeneous Platforms.
Proceedings of the Euro-Par 2018: Parallel Processing, 2018

2017
Sandpiper: Scaling probabilistic inferencing to large scale graphical models.
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.
ACM Trans. Parallel Comput., 2016

2015
Distributed memory code generation for mixed Irregular/Regular computations.
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.
Proceedings of the 22nd International Conference on Parallel Architectures and Compilation Techniques, 2013


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