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10/24/2022
(LA)yer-neigh(BOR) Sampling: Defusing Neighborhood Explosion in GNNs
Graph Neural Networks have recently received a significant attention, ho...
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09/09/2022
PGAbB: A Block-Based Graph Processing Framework for Heterogeneous Platforms
Designing flexible graph kernels that can run well on various platforms ...
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07/27/2022
A Simple and Elegant Mathematical Formulation for the Acyclic DAG Partitioning Problem
This work addresses the NP-Hard problem of acyclic directed acyclic grap...
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05/26/2022
More Recent Advances in (Hyper)Graph Partitioning
In recent years, significant advances have been made in the design and e...
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05/14/2022
Efficient Hierarchical State Vector Simulation of Quantum Circuits via Acyclic Graph Partitioning
Early but promising results in quantum computing have been enabled by th...
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03/24/2022
Batch Dynamic Algorithm to Find k-Cores and Hierarchies
Finding k-cores in graphs is a valuable and effective strategy for extra...
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10/17/2021
MG-GCN: Scalable Multi-GPU GCN Training Framework
Full batch training of Graph Convolutional Network (GCN) models is not f...
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09/25/2020
A Block-Based Triangle Counting Algorithm on Heterogeneous Environments
Triangle counting is a fundamental building block in graph algorithms. I...
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09/16/2020
On Symmetric Rectilinear Matrix Partitioning
Even distribution of irregular workload to processing units is crucial f...
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09/26/2019
Heuristics for Symmetric Rectilinear Matrix Partitioning
Partitioning sparse matrices and graphs is a common and important proble...
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12/03/2018
Programming Strategies for Irregular Algorithms on the Emu Chick
The Emu Chick prototype implements migratory memory-side processing in a...
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04/25/2018
Geometric Partitioning and Ordering Strategies for Task Mapping on Parallel Computers
We present a new method for mapping applications' MPI tasks to cores of ...
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11/29/2017
