Kimbap: A Node-Property Map System for Distributed Graph Analytics.
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024
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
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
Evaluation of Graph Analytics Frameworks Using the GAP Benchmark Suite.
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Proceedings of the IEEE International Symposium on Workload Characterization, 2020
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
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
Sandpiper: Scaling probabilistic inferencing to large scale graphical models.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
Compiling Affine Loop Nests for a Dynamic Scheduling Runtime on Shared and Distributed Memory.
ACM Trans. Parallel Comput., 2016
Distributed memory code generation for mixed Irregular/Regular computations.
Proceedings of the 20th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2015
Generating efficient data movement code for heterogeneous architectures with distributed-memory.
Proceedings of the 22nd International Conference on Parallel Architectures and Compilation Techniques, 2013