Albert-Jan N. Yzelman

Huawei Technologies (China) — China

Computer Science · Physical Sciences

9h-index380citations42works0.32yr avg
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Research Topics

Parallel Computing and Optimization Techniques(27), Distributed and Parallel Computing Systems(12), Advanced Data Storage Technologies(8), Interconnection Networks and Systems(7), Graph Theory and Algorithms(7)

Publications42 total

Faster Distributed Inference-Only Recommender Systems via Bounded Lag Synchronous Collectives
arXiv (Cornell University)·2025Open Access
Faster Distributed Inference-Only Recommender Systems via Bounded Lag Synchronous Collectives
ArXiv.org·2025Open Access
Multiprocessor Scheduling with Memory Constraints: Fundamental Properties and Finding Optimal Solutions
2025Open Access
Incremental Sparse Tensor Format for Maximizing Efficiency in Tensor-Vector Multiplications
2025
HiCR, an Abstract Model for Distributed Heterogeneous Programming
arXiv (Cornell University)·2025Open Access
The Impact of Partial Computations on the Red-Blue Pebble Game
2025Open Access
Efficient Parallel Scheduling for Sparse Triangular Solvers
2025
Distributed and heterogeneous tensor–vector contraction algorithms for high performance computing
Future Generation Computer Systems·2025· 1 cited
Distributed and heterogeneous tensor-vector contraction algorithms for high performance computing
2025Open Access
DAG Scheduling in the BSP Model
Lecture notes in computer science·2025
Red-Blue Pebbling with Multiple Processors: Time, Communication and Memory Trade-Offs
Lecture notes in computer science·2025· 1 cited
Red-Blue Pebbling with Multiple Processors: Time, Communication and Memory Trade-offs
arXiv (Cornell University)·2024Open Access
Brief Announcement: Red-Blue Pebbling with Multiple Processors: Time, Communication and Memory Trade-offs
2024· 2 cited
Efficient Multi-Processor Scheduling in Increasingly Realistic Models
2024· 1 citedOpen Access
Efficient Multi-Processor Scheduling in Increasingly Realistic Models (Brief Summary)
2024
Towards Structured Algebraic Programming
2023
Partitioning Hypergraphs is Hard: Models, Inapproximability, and Applications
2023· 5 cited
Effective implementation of the High Performance Conjugate Gradient benchmark on GraphBLAS
2023· 2 cited
Effective implementation of the High Performance Conjugate Gradient benchmark on GraphBLAS
arXiv (Cornell University)·2023Open Access
Studying the expressiveness and performance of parallelization abstractions for linear pipelines
2023· 1 cited
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Frequent Co-authors

Pál András Papp(10), Rob H. Bisseling(8), Filip Pawłowski(7), Bora Uçar(6), Toni Böhnlein(5), Dirk Roose(4), Georg Anegg(4), Karl Meerbergen(3), Aristeidis Mastoras(3), Kiril Dichev(3), Ümit V. Çatalyürek(2), Sotiris Anagnostidis(2), Alberto Scolari(2), Aikaterini Karanasiou(2), Pedro J. Martínez-Ferrer(2), Vicenç Beltrán(2), B.O. Fagginger Auer(1), Tristan van Leeuwen(1), Wijnand Suijlen(1), Filip Pawłowski(1)