GrAPL 2023: Workshop on Graphs, Architectures, Programming, and Learning

May 15, 2023
Co-Located with IPDPS 2023
St. Petersburg, Florida, US


Program

TimeEvent
7:50 - 8:00 AMWelcome and Introduction
Manoj Kumar, Kamesh Madduri
8:00 - 9:00 AMSession 1A Tools & Building Blocks
Chair: TBD

Effective implementation of the High Performance Conjugate Gradient benchmark on GraphBLAS 
Alberto Scolari, Albert-Jan Yzelman 
 
C++ and Interoperability Across Libraries: the GraphBLAS C++ API

Benjamin Brock, Scott McMillan, Aydın Buluç, Timothy Mattson, José Moreira 
9:00 - 10:00 AM


Keynote
Chair: Antonino Tumeo (PNNL)

IARPA AGILE: The Future of Data Centric Computing
William Harrod (IARPA)
10:00 - 10:30 AMCoffee Break
10:30 - 11:30 AMSession 1B Tools & Building Blocks
Chair: TBD

G-Bench: Fair Benchmarking to Support Innovations in Streaming Graph Systems
Pradeep Kumar, Sarah Revillar

cuGraph C++ primitives: vertex/edge-centric building blocks for parallel graph computing
Seunghwa Kang, Chuck Hastings, Joe Eaton, Brad Rees
11:30 AM - 1:00 PM
Lunch Break
1:00 - 2:00 PMSession 2A Graph Algorithms & Machine Learning
Chair: TBD
 
Maximum Clique Enumeration on the GPU
Afton Geil, Serban Porumbescu, John Owens

Billion-scale Detection of Isomorphic Nodes
Luca Cappelletti, Tommaso Fontana, Justin Reese, David Bader 
2:00 - 3:00 PMSession 2B Graph Algorithms & Machine Learning
Chair: TBD

Optimizing Irregular Dense Operators of Heterogeneous GNN Models on GPU
Israt Nisa, Minjie Wang, Da Zheng, Qiang Fu, Umit Catalyurek, Geroge Karypis

A Comparison of Spectral and Spatial Graph Convolutional Neural Network Kernels Using GraphSAGE-Sparse
Michael Eydenberg, Mark Plaggue, Sivasankaran Rajamanickam
3:00 - 3:30 PMCoffee Break
3:30 - 3:40 PMConclusion & Community Discussion

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