2020 IEEE/ACM 10th Workshop on Irregular Applications: Architectures and Algorithms (IA3)

Labeled Triangle Indexing for Efficiency Gains in Distributed Interactive Subgraph Search††This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344 (LLNL-CONF-814976). Experiments were performed at the Livermore Computing facility.

2020 IEEE/ACM 10th Workshop on Irregular Applications: Architectures and Algorithms (IA3) ◽

10.1109/ia351965.2020.00012 ◽

2020 ◽

Author(s):

Tahsin Reza ◽

Matei Ripeanu ◽

Geoffrey Sanders ◽

Roger Pearce

Keyword(s):

Lawrence Livermore National Laboratory ◽

National Laboratory ◽

Department Of Energy ◽

Efficiency Gains ◽

The U.S

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Research Challenges in Compiler Technology for Sparse Tensors

2020 IEEE/ACM 10th Workshop on Irregular Applications: Architectures and Algorithms (IA3) ◽

10.1109/ia351965.2020.00006 ◽

2020 ◽

Author(s):

Mary Hall

Keyword(s):

Research Challenges

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[Copyright notice]

2020 IEEE/ACM 10th Workshop on Irregular Applications: Architectures and Algorithms (IA3) ◽

10.1109/ia351965.2020.00002 ◽

2020 ◽

Keyword(s):

Copyright Notice

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Supporting Irregularity in Throughput-Oriented Computing by SIMT-SIMD Integration

2020 IEEE/ACM 10th Workshop on Irregular Applications: Architectures and Algorithms (IA3) ◽

10.1109/ia351965.2020.00010 ◽

2020 ◽

Author(s):

Daniel Thuerck

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Distributed Memory Graph Coloring Algorithms for Multiple GPUs

2020 IEEE/ACM 10th Workshop on Irregular Applications: Architectures and Algorithms (IA3) ◽

10.1109/ia351965.2020.00013 ◽

2020 ◽

Author(s):

Ian Bogle ◽

Erik G. Boman ◽

Karen Devine ◽

Sivasankaran Rajamanickam ◽

George M. Slota

Keyword(s):

Graph Coloring ◽

Distributed Memory ◽

Multiple Gpus

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DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs

2020 IEEE/ACM 10th Workshop on Irregular Applications: Architectures and Algorithms (IA3) ◽

10.1109/ia351965.2020.00011 ◽

2020 ◽

Author(s):

Da Zheng ◽

Chao Ma ◽

Minjie Wang ◽

Jinjing Zhou ◽

Qidong Su ◽

...

Keyword(s):

Neural Network ◽

Neural Network Training ◽

Network Training

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Parallelizing Irregular Computations for Molecular Docking

2020 IEEE/ACM 10th Workshop on Irregular Applications: Architectures and Algorithms (IA3) ◽

10.1109/ia351965.2020.00008 ◽

2020 ◽

Author(s):

Leonardo Solis-Vasquez ◽

Diogo Santos-Martins ◽

Andreas F. Tillack ◽

Andreas Koch ◽

Jerome Eberhardt ◽

...

Keyword(s):

Molecular Docking ◽

Irregular Computations

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Accelerating Domain Propagation: An Efficient GPU-Parallel Algorithm over Sparse Matrices

2020 IEEE/ACM 10th Workshop on Irregular Applications: Architectures and Algorithms (IA3) ◽

10.1109/ia351965.2020.00007 ◽

2020 ◽

Author(s):

Boro Sofranac ◽

Ambros Gleixner ◽

Sebastian Pokutta

Keyword(s):

Parallel Algorithm ◽

Sparse Matrices

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Performance Evaluation of the Vectorizable Binary Search Algorithms on an FPGA Platform

2020 IEEE/ACM 10th Workshop on Irregular Applications: Architectures and Algorithms (IA3) ◽

10.1109/ia351965.2020.00014 ◽

2020 ◽

Author(s):

Zheming Jin ◽

Hal Finkel

Keyword(s):

Performance Evaluation ◽

Search Algorithms ◽

Binary Search

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2020 IEEE/ACM 10th Workshop on Irregular Applications: Architectures and Algorithms (IA3)
Latest Publications

TOTAL DOCUMENTS

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Published By IEEE

Research Challenges in Compiler Technology for Sparse Tensors

[Copyright notice]

Supporting Irregularity in Throughput-Oriented Computing by SIMT-SIMD Integration

Distributed Memory Graph Coloring Algorithms for Multiple GPUs

DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs

Parallelizing Irregular Computations for Molecular Docking

Accelerating Domain Propagation: An Efficient GPU-Parallel Algorithm over Sparse Matrices

Performance Evaluation of the Vectorizable Binary Search Algorithms on an FPGA Platform

Table of Contents

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2020 IEEE/ACM 10th Workshop on Irregular Applications: Architectures and Algorithms (IA3)Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By IEEE

Research Challenges in Compiler Technology for Sparse Tensors

[Copyright notice]

Supporting Irregularity in Throughput-Oriented Computing by SIMT-SIMD Integration

Distributed Memory Graph Coloring Algorithms for Multiple GPUs

DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs

Parallelizing Irregular Computations for Molecular Docking

Accelerating Domain Propagation: An Efficient GPU-Parallel Algorithm over Sparse Matrices

Performance Evaluation of the Vectorizable Binary Search Algorithms on an FPGA Platform

Table of Contents

2020 IEEE/ACM 10th Workshop on Irregular Applications: Architectures and Algorithms (IA3)
Latest Publications