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GPU Semiring Primitives for Sparse Neighborhood Methods
v1v2 (latest)

GPU Semiring Primitives for Sparse Neighborhood Methods

Conference on Machine Learning and Systems (MLSys), 2021
13 April 2021
Corey J. Nolet
Divye Gala
Edward Raff
Joe Eaton
Brad Rees
John Zedlewski
Tim Oates
ArXiv (abs)PDFHTMLGithub (889★)

Papers citing "GPU Semiring Primitives for Sparse Neighborhood Methods"

4 / 4 papers shown
The Ubiquitous Sparse Matrix-Matrix Products
The Ubiquitous Sparse Matrix-Matrix Products
Aydın Buluç
198
1
0
06 Aug 2025
CAGRA: Highly Parallel Graph Construction and Approximate Nearest
  Neighbor Search for GPUs
CAGRA: Highly Parallel Graph Construction and Approximate Nearest Neighbor Search for GPUsIEEE International Conference on Data Engineering (ICDE), 2023
Hiroyuki Ootomo
Akira Naruse
Corey J. Nolet
Ray Wang
Tamas B. Fehér
Yuanbo Wang
GNN
493
69
0
29 Aug 2023
FastSTMF: Efficient tropical matrix factorization algorithm for sparse
  data
FastSTMF: Efficient tropical matrix factorization algorithm for sparse data
Amra Omanović
Polona Oblak
Tomaž Curk
197
2
0
13 May 2022
AD for an Array Language with Nested Parallelism
AD for an Array Language with Nested ParallelismInternational Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2022
Robert Schenck
O. Rønning
Troels Henriksen
C. Oancea
224
14
0
21 Feb 2022
1
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