3 papers
cs.DC2026
MAGNUS: Fast SpGEMM on GPUs for Irregular Matrices via Hierarchical Multisplit
Jordi Wolfson-Pou, Ahmed Helal, Fabrizio Petrini
We present MAGNUS, a novel algorithm for sparse matrix-matrix multiplication (SpGEMM) of irregular matrices on GPUs. Such matrices often contain many heavy rows, those with larg…
cs.LG2025
ReLATE: Learning Efficient Sparse Encoding for High-Performance Tensor Decomposition
Ahmed E. Helal, Fabio Checconi, Jan Laukemann +4
Tensor decomposition (TD) is essential for analyzing high-dimensional sparse data, yet its irregular computations and memory-access patterns pose major performance challenges on mo…
cs.DC2025
Accelerating Sparse Tensor Decomposition Using Adaptive Linearized Representation
Jan Laukemann, Ahmed E. Helal, S. Isaac Geronimo Anderson +7
High-dimensional sparse data emerge in many critical application domains such as healthcare and cybersecurity. To extract meaningful insights from massive volumes of these multi-di…