Exploring fpga Optimizations to Compute Sparse Numerical Linear Algebra Kernels

Federico Favaro, Ernesto Dufrechou, Pablo Ezzatti, Juan P. Oliver. Exploring fpga Optimizations to Compute Sparse Numerical Linear Algebra Kernels. In Fernando Rincón, Jesús Barba, Hayden Kwok-Hay So, Pedro C. Diniz, Julián Caba, editors, Applied Reconfigurable Computing. Architectures, Tools, and Applications - 16th International Symposium, ARC 2020, Toledo, Spain, April 1-3, 2020, Proceedings [postponed]. Volume 12083 of Lecture Notes in Computer Science, pages 258-268, Springer, 2020. [doi]

@inproceedings{FavaroDEO20,
  title = {Exploring fpga Optimizations to Compute Sparse Numerical Linear Algebra Kernels},
  author = {Federico Favaro and Ernesto Dufrechou and Pablo Ezzatti and Juan P. Oliver},
  year = {2020},
  doi = {10.1007/978-3-030-44534-8_20},
  url = {https://doi.org/10.1007/978-3-030-44534-8_20},
  researchr = {https://researchr.org/publication/FavaroDEO20},
  cites = {0},
  citedby = {0},
  pages = {258-268},
  booktitle = {Applied Reconfigurable Computing. Architectures, Tools, and Applications - 16th International Symposium, ARC 2020, Toledo, Spain, April 1-3, 2020, Proceedings [postponed]},
  editor = {Fernando Rincón and Jesús Barba and Hayden Kwok-Hay So and Pedro C. Diniz and Julián Caba},
  volume = {12083},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-44534-8},
}