GrAPL 2026: Workshop on Graphs, Architectures, Programming, and Learning

May 26, 2026
Marriott on Canal Street, Salon F
Co-Located with IPDPS 2026
New Orleans, LA, USA 


Tentative Program

TimeEvent
8:30 - 9:00 AMWelcome and Introduction
Antonino Tumeo (PNNL)
9:00 - 10:00 AMKeynote 1
Chair: Antonino Tumeo (PNNL)

Learning-Augmented and Parallel Algorithms for Large-scale Metric Spanning Tree Computation
Nate Veldt (Texas A&M)
10:00 - 10:30 AM
Coffee Break
10:30 - 12:00 AMGraph Learning & Neural Networks
Chair: TBD

Learning-Augmented Algorithms for Graph Sparsification and Steiner Trees
Ahmed, Chiu, Ghosh, Goodrich, Jun, Kobourov

Alternative Decomposed Message Passing for Efficient Geometric GNNs
Tasci, Kuppannagari

DistFusedMM: A Distributed-Memory Fused SDDMM–SpMM Algorithm
Ranawaka, Anubha, Pathiranage, Azad

Laplacian-LoRA: Delaying Oversmoothing in Deep GCNs (short)
Alisetti
12:00 AM - 1:30 PMLunch Break
1:30 - 2:30 PM
Keynote 2
Chair: TBD

How to efficiently use large-scale systems? Dealing with errors and variable capacity.
Anne Benoit (ENS Lyon)
2:30 - 3:00 PMSession 2A High-Performance Graph Kernels
Chair: TBD
 
Sparsity-Aware Roofline Models for SpMM
Qian, Ramadan, Anubha, Azad
3:00 - 3:30 PMCoffee Break
3:30 - 4:30 PMSession 2B High-Performance Graph Kernels
Chair: TBD

CHROMA: High-Quality Robust Graph Coloring on GPUs
Hsieh, Wu, Kuo

A Multi-Queue Design for High-Performance GPU Priority Queues
Li

Approximate Matching for Fuzzy Set Similarity (short)
Mandulak, Ferdous, Ghosh, Halappanavar, Slota
4:30 - 5:25 PMGrAPL Panel & Community Discussion
TBD
5:25 - 5:30 PMConcluding Remarks
Antonino Tumeo (PNNL)

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