Papers › Maple: A Processing Element for Row-Wise Product Based Sparse Tensor Accelerators
Maple: A Processing Element for Row-Wise Product Based Sparse Tensor Accelerators
Midia Reshadi, David Gregg
The archive published only this paper's code-link row. Authors, date and abstract are from arXiv's metadata (CC0), read from the Kaggle arXiv metadata snapshot of 2026-09-12 where its title matched the archive's; the title is the archive's.
Sparse tensor computing is a core computational part of numerous applications in areas such as data science, graph processing, and scientific computing. Sparse tensors offer the potential of skipping unnecessary computations caused by zero values. In this paper, we propose a new strategy for extending row-wise product sparse tensor accelerators. We propose a new processing element called Maple that uses multiple multiply-accumulate (MAC) units to exploit local clusters of non-zero values to increase parallelism and reduce data movement. Maple works on the compressed sparse row (CSR) format and calculates only non-zero elements of the input matrices based on the sparsity pattern. Furthermore, we may employ Maple as a basic building block in a variety of spatial tensor accelerators that operate based on a row-wise product approach. As a proof of concept, we utilize Maple in two reference accelerators: Extensor and Matraptor. Our experiments show that using Maple in Matraptor and Extensor achieves 50% and 60% energy benefit and 15% and 22% speedup over the baseline designs, respectively. Employing Maple also results in 5.9x and 15.5x smaller area consumption in Matraptor and Extensor compared with the baseline structures, respectively.
Code
Repository list and official/mentioned flags are the archive's, frozen 2025-07-28. Reachability, where shown, is from one Syntology probe window (2026-09-16 to 2026-09-18); repositories not probed show nothing. GitHub stars are not tracked.
Code Syntology ran Syntology
Not run by Syntology. Nothing on this page verifies that the listed code works.
Results from the paper archive 2025-07-28
No leaderboard rows for this paper in the archive.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections