Reader Notes: This video presents the parallelisation of the basic dominant-edge algorithm for Speaker: Lukas Gianinazzi Conference: ACM Symposium on Parallelism in Algorithms and Architectures (SPAA '20) Abstract: We ...

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Speaker: Lukas Gianinazzi Conference: ACM Symposium on Parallelism in Algorithms and Architectures (SPAA '20) Abstract: We ... This video presents the parallelisation of the basic dominant-edge algorithm for

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  • Speaker: Lukas Gianinazzi Conference: ACM Symposium on Parallelism in Algorithms and Architectures (SPAA '20) Abstract: We ...
  • This video presents the parallelisation of the basic dominant-edge algorithm for
  • This animation visualizes the real-time execution of the Quantum Approximate

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Optimizing Parallel Graph Connectivity Computation via Subgraph Sampling
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Massively Parallel Graph Analytics
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Graph Sparsification for Derandomizing Massively Parallel Computation with Low Space
[CVPR'26] Parallel Rigidity Matters for Bundle Adjustment
Three Goals in Parallel Graph Computations: High Performance, High Productivity, and Reduced Comm...
Optimizing Silicon Netlist Graph Partitioning via VQA QAOA
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Optimizing Parallel Graph Connectivity Computation via Subgraph Sampling

Optimizing Parallel Graph Connectivity Computation via Subgraph Sampling

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Parallel Planar Subgraph Isomorphism and Vertex Connectivity

Parallel Planar Subgraph Isomorphism and Vertex Connectivity

Speaker: Lukas Gianinazzi Conference: ACM Symposium on Parallelism in Algorithms and Architectures (SPAA '20) Abstract: We ...

Massively Parallel Graph Analytics

Massively Parallel Graph Analytics

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Linear and sublinear algorithms for graphlet sampling

Linear and sublinear algorithms for graphlet sampling

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Parallel graph matching

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This video presents the parallelisation of the basic dominant-edge algorithm for

GraphSC: Parallel Secure Computation Made Easy

GraphSC: Parallel Secure Computation Made Easy

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Graph Sparsification for Derandomizing Massively Parallel Computation with Low Space

Graph Sparsification for Derandomizing Massively Parallel Computation with Low Space

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[CVPR'26] Parallel Rigidity Matters for Bundle Adjustment

[CVPR'26] Parallel Rigidity Matters for Bundle Adjustment

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Three Goals in Parallel Graph Computations: High Performance, High Productivity, and Reduced Comm...

Three Goals in Parallel Graph Computations: High Performance, High Productivity, and Reduced Comm...

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Optimizing Silicon Netlist Graph Partitioning via VQA QAOA

Optimizing Silicon Netlist Graph Partitioning via VQA QAOA

This animation visualizes the real-time execution of the Quantum Approximate