
Deep Learning with Heterogeneous Graph Embeddings for Mortality Prediction from Electronic Health Records
Computational prediction of inhospital mortality in the setting of an i...
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FusedMM: A Unified SDDMMSpMM Kernel for Graph Embedding and Graph Neural Networks
We develop a fused matrix multiplication kernel that unifies sampled den...
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CommunicationAvoiding and MemoryConstrained Sparse MatrixMatrix Multiplication at Extreme Scale
Sparse matrixmatrix multiplication (SpGEMM) is a widely used kernel in ...
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Distributed ManytoMany Protein Sequence Alignment using Sparse Matrices
Identifying similar protein sequences is a core step in many computation...
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SubGraph2Vec: HighlyVectorized TreelikeSubgraph Counting
Subgraph counting aims to count occurrences of a template T in a given n...
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Force2Vec: Parallel forcedirected graph embedding
A graph embedding algorithm embeds a graph into a lowdimensional space ...
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Attribute2vec: Deep Network Embedding Through MultiFiltering GCN
We present a multifiltering Graph Convolution Neural Network (GCN) fram...
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BandwidthOptimized Parallel Algorithms for Sparse MatrixMatrix Multiplication using Propagation Blocking
Sparse matrixmatrix multiplication (SpGEMM) is a widely used kernel in ...
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Optimizing High Performance Markov Clustering for PreExascale Architectures
HipMCL is a highperformance distributed memory implementation of the po...
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BatchLayout: A BatchParallel ForceDirected Graph Layout Algorithm in Shared Memory
Forcedirected algorithms are widely used to generate aesthetically plea...
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The Parallelism Motifs of Genomic Data Analysis
Genomic data sets are growing dramatically as the cost of sequencing con...
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FastSV: A DistributedMemory Connected Component Algorithm with Fast Convergence
This paper presents a new distributedmemory algorithm called FastSV for...
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A GraphBLAS Approach for Subgraph Counting
Subgraph counting aims to count the occurrences of a subgraph template T...
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Highperformance sparse matrixmatrix products on Intel KNL and multicore architectures
Sparse matrixmatrix multiplication (SpGEMM) is a computational primitiv...
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A distributedmemory approximation algorithm for maximum weight perfect bipartite matching
We design and implement an efficient parallel approximation algorithm fo...
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Integrated Model, Batch and Domain Parallelism in Training Neural Networks
We propose a new integrated method of exploiting model, batch and domain...
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Integrated Model and Data Parallelism in Training Neural Networks
We propose a new integrated method of exploiting both model and data par...
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CommunicationAvoiding Optimization Methods for MassiveScale Graphical Model Structure Learning
Undirected graphical models compactly represent the structure of large, ...
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The Reverse CuthillMcKee Algorithm in DistributedMemory
Ordering vertices of a graph is key to minimize fillin and data structu...
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Ariful Azad
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