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ORCIDAlbert-Jan Nicholas Yzelman
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- affiliation: Huawei Technologies Switzerland, Zurich, Switzerland
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2020 – today
- 2024
[c11]Pál András Papp, Georg Anegg, Aikaterini Karanasiou, Albert-Jan Nicholas Yzelman:
Efficient Multi-Processor Scheduling in Increasingly Realistic Models (Brief Summary). IPDPS (Workshops) 2024: 1169-1171- [c10]Toni Böhnlein
, Pál András Papp, Albert-Jan Nicholas Yzelman:
Brief Announcement: Red-Blue Pebbling with Multiple Processors: Time, Communication and Memory Trade-offs. SPAA 2024: 285-287 - [c9]Pál András Papp, Georg Anegg, Aikaterini Karanasiou, Albert-Jan Nicholas Yzelman:
Efficient Multi-Processor Scheduling in Increasingly Realistic Models. SPAA 2024: 463-474 - [i8]Pál András Papp, Georg Anegg, Aikaterini Karanasiou, A. N. Yzelman:
Efficient Multi-Processor Scheduling in Increasingly Realistic Models. CoRR abs/2404.15246 (2024) - [i7]Toni Böhnlein, Pál András Papp, A. N. Yzelman:
Red-Blue Pebbling with Multiple Processors: Time, Communication and Memory Trade-offs. CoRR abs/2409.03898 (2024) - 2023
- [j8]Aristeidis Mastoras, Sotiris Anagnostidis, Albert-Jan Nicholas Yzelman:
Design and Implementation for Nonblocking Execution in GraphBLAS: Tradeoffs and Performance. ACM Trans. Archit. Code Optim. 20(1): 6:1-6:23 (2023) - [c8]Alberto Scolari, Albert-Jan Yzelman:
Effective implementation of the High Performance Conjugate Gradient benchmark on GraphBLAS. IPDPS Workshops 2023: 216-225 - [c7]Daniele G. Spampinato, Denis Jelovina, Jiawei Zhuang, Albert-Jan Nicholas Yzelman:
Towards Structured Algebraic Programming. ARRAY@PLDI 2023: 50-61 - [c6]Aristeidis Mastoras, Albert-Jan Nicholas Yzelman:
Studying the expressiveness and performance of parallelization abstractions for linear pipelines. PMAM@PPoPP 2023: 29-38 - [c5]Pál András Papp, Georg Anegg, Albert-Jan Nicholas Yzelman:
Partitioning Hypergraphs is Hard: Models, Inapproximability, and Applications. SPAA 2023: 415-425 - [i6]Pál András Papp, Georg Anegg, A. N. Yzelman:
DAG Scheduling in the BSP Model. CoRR abs/2303.05989 (2023) - [i5]Alberto Scolari, Albert-Jan Yzelman:
Effective implementation of the High Performance Conjugate Gradient benchmark on GraphBLAS. CoRR abs/2304.08232 (2023) - [i4]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:
Open Problems in (Hyper)Graph Decomposition. CoRR abs/2310.11812 (2023) - [i3]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:
Recent Trends in Graph Decomposition (Dagstuhl Seminar 23331). Dagstuhl Reports 13(8): 1-45 (2023) - 2022
- [j7]Pedro J. Martínez-Ferrer, A. N. Yzelman, Vicenç Beltran:
A Native Tensor-Vector Multiplication Algorithm for High Performance Computing. IEEE Trans. Parallel Distributed Syst. 33(12): 3363-3374 (2022) - [c4]Aristeidis Mastoras, Sotiris Anagnostidis, Albert-Jan Nicholas Yzelman:
Nonblocking execution in GraphBLAS. IPDPS Workshops 2022: 230-233 - [i2]Pál András Papp, Georg Anegg, A. N. Yzelman:
Partitioning Hypergraphs is Hard: Models, Inapproximability, and Applications. CoRR abs/2208.08257 (2022) - 2020
- [c3]Filip Pawlowski, Rob H. Bisseling, Bora Uçar, A. N. Yzelman:
Combinatorial Tiling for Sparse Neural Networks. HPEC 2020: 1-7
2010 – 2019
- 2019
- [j6]Filip Pawlowski, Bora Uçar, Albert-Jan Yzelman:
A multi-dimensional Morton-ordered block storage for mode-oblivious tensor computations. J. Comput. Sci. 33: 34-44 (2019) - [c2]Filip Pawlowski, Bora Uçar, Albert-Jan Yzelman:
High Performance Tensor-Vector Multiplication on Shared-Memory Systems. PPAM (1) 2019: 38-48 - [i1]Wijnand Suijlen, A. N. Yzelman:
Lightweight Parallel Foundations: a model-compliant communication layer. CoRR abs/1906.03196 (2019) - 2015
- [c1]A. N. Yzelman:
Generalised vectorisation for sparse matrix: vector multiplication. IA3@SC 2015: 6:1-6:8 - 2014
- [j5]A. N. Yzelman, Rob H. Bisseling, Dirk Roose, Karl Meerbergen:
MulticoreBSP for C: A High-Performance Library for Shared-Memory Parallel Programming. Int. J. Parallel Program. 42(4): 619-642 (2014) - [j4]Albert-Jan Nicholas Yzelman, Dirk Roose:
High-Level Strategies for Parallel Shared-Memory Sparse Matrix-Vector Multiplication. IEEE Trans. Parallel Distributed Syst. 25(1): 116-125 (2014) - 2012
- [j3]A. N. Yzelman, Rob H. Bisseling:
An object-oriented bulk synchronous parallel library for multicore programming. Concurr. Comput. Pract. Exp. 24(5): 533-553 (2012) - 2011
- [j2]A. N. Yzelman, Rob H. Bisseling:
Two-dimensional cache-oblivious sparse matrix-vector multiplication. Parallel Comput. 37(12): 806-819 (2011)
2000 – 2009
- 2009
- [j1]A. N. Yzelman, Rob H. Bisseling:
Cache-Oblivious Sparse Matrix--Vector Multiplication by Using Sparse Matrix Partitioning Methods. SIAM J. Sci. Comput. 31(4): 3128-3154 (2009)
Coauthor Index
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