Albert-Jan Nicholas Yzelman

According to our database, Albert-Jan Nicholas Yzelman authored at least 24 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Red-Blue Pebbling with Multiple Processors: Time, Communication and Memory Trade-offs.

Toni Böhnlein, Pál András Papp, A. N. Yzelman

CoRR, 2024

Efficient Multi-Processor Scheduling in Increasingly Realistic Models.

Pál András Papp, Georg Anegg, Aikaterini Karanasiou, Albert-Jan Nicholas Yzelman

Proceedings of the 36th ACM Symposium on Parallelism in Algorithms and Architectures, 2024

Brief Announcement: Red-Blue Pebbling with Multiple Processors: Time, Communication and Memory Trade-offs.

Toni Böhnlein, Pál András Papp, Albert-Jan Nicholas Yzelman

Proceedings of the 36th ACM Symposium on Parallelism in Algorithms and Architectures, 2024

Efficient Multi-Processor Scheduling in Increasingly Realistic Models (Brief Summary).

Pál András Papp, Georg Anegg, Aikaterini Karanasiou, Albert-Jan Nicholas Yzelman

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

2023

Design and Implementation for Nonblocking Execution in GraphBLAS: Tradeoffs and Performance.

Aristeidis Mastoras, Sotiris Anagnostidis, Albert-Jan Nicholas Yzelman

ACM Trans. Archit. Code Optim., March, 2023

Recent Trends in Graph Decomposition (Dagstuhl Seminar 23331).

George Karypis, Christian Schulz, Darren Strash, Deepak Ajwani, Rob H. Bisseling, Katrin Casel, Ümit V. Çatalyürek, Cédric Chevalier, Florian Chudigiewitsch, Marcelo Fonseca Faraj, Michael R. Fellows, Lars Gottesbüren, Tobias Heuer, Kamer Kaya, Jakub Lacki, Johannes Langguth, Xiaoye Sherry Li, Ruben Mayer, Johannes Meintrup, Yosuke Mizutani, François Pellegrini, Fabrizio Petrini, Frances A. Rosamond, Ilya Safro, Sebastian Schlag, Roohani Sharma, Blair D. Sullivan, Bora Uçar, Albert-Jan Yzelman

Dagstuhl Reports, 2023

Open Problems in (Hyper)Graph Decomposition.

Deepak Ajwani, Rob H. Bisseling, Katrin Casel, Ümit V. Çatalyürek, Cédric Chevalier, Florian Chudigiewitsch, Marcelo Fonseca Faraj, Michael R. Fellows, Lars Gottesbüren, Tobias Heuer, George Karypis, Kamer Kaya, Jakub Lacki, Johannes Langguth, Xiaoye Sherry Li, Ruben Mayer, Johannes Meintrup, Yosuke Mizutani, François Pellegrini, Fabrizio Petrini, Frances A. Rosamond, Ilya Safro, Sebastian Schlag, Christian Schulz, Roohani Sharma, Darren Strash, Blair D. Sullivan, Bora Uçar, Albert-Jan Yzelman

CoRR, 2023

DAG Scheduling in the BSP Model.

Pál András Papp, Georg Anegg, A. N. Yzelman

CoRR, 2023

Partitioning Hypergraphs is Hard: Models, Inapproximability, and Applications.

Pál András Papp, Georg Anegg, Albert-Jan Nicholas Yzelman

Proceedings of the 35th ACM Symposium on Parallelism in Algorithms and Architectures, 2023

Studying the expressiveness and performance of parallelization abstractions for linear pipelines.

Aristeidis Mastoras, Albert-Jan Nicholas Yzelman

Proceedings of the 14th International Workshop on Programming Models and Applications for Multicores and Manycores, 2023

Towards Structured Algebraic Programming.

Daniele G. Spampinato, Denis Jelovina, Jiawei Zhuang, Albert-Jan Nicholas Yzelman

Proceedings of the 9th ACM SIGPLAN International Workshop on Libraries, 2023

Effective implementation of the High Performance Conjugate Gradient benchmark on GraphBLAS.

Alberto Scolari, Albert-Jan Yzelman

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

2022

A Native Tensor-Vector Multiplication Algorithm for High Performance Computing.

Pedro J. Martínez-Ferrer, A. N. Yzelman, Vicenç Beltran

IEEE Trans. Parallel Distributed Syst., 2022

Nonblocking execution in GraphBLAS.

Aristeidis Mastoras, Sotiris Anagnostidis, Albert-Jan Nicholas Yzelman

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

2020

Combinatorial Tiling for Sparse Neural Networks.

Filip Pawlowski, Rob H. Bisseling, Bora Uçar, A. N. Yzelman

Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

2019

A multi-dimensional Morton-ordered block storage for mode-oblivious tensor computations.

Filip Pawlowski, Bora Uçar, Albert-Jan Yzelman

J. Comput. Sci., 2019

Lightweight Parallel Foundations: a model-compliant communication layer.

Wijnand Suijlen, A. N. Yzelman

CoRR, 2019

High Performance Tensor-Vector Multiplication on Shared-Memory Systems.

Filip Pawlowski, Bora Uçar, Albert-Jan Yzelman

Proceedings of the Parallel Processing and Applied Mathematics, 2019

2015

Generalised vectorisation for sparse matrix: vector multiplication.

A. N. Yzelman

Proceedings of the 5th Workshop on Irregular Applications - Architectures and Algorithms, 2015

2014

High-Level Strategies for Parallel Shared-Memory Sparse Matrix-Vector Multiplication.

Albert-Jan Nicholas Yzelman, Dirk Roose

IEEE Trans. Parallel Distributed Syst., 2014

MulticoreBSP for C: A High-Performance Library for Shared-Memory Parallel Programming.

A. N. Yzelman, Rob H. Bisseling, Dirk Roose, Karl Meerbergen

Int. J. Parallel Program., 2014

2012

An object-oriented bulk synchronous parallel library for multicore programming.

A. N. Yzelman, Rob H. Bisseling

Concurr. Comput. Pract. Exp., 2012

2011

Two-dimensional cache-oblivious sparse matrix-vector multiplication.

A. N. Yzelman, Rob H. Bisseling

Parallel Comput., 2011

2009

Cache-Oblivious Sparse Matrix--Vector Multiplication by Using Sparse Matrix Partitioning Methods.

A. N. Yzelman, Rob H. Bisseling

SIAM J. Sci. Comput., 2009