Exploring Spcl Bcast Performance Engineering For Sparse Matrix Vector Multiplication
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- SparseP: Efficient
- This video shows how to turn a sequential algorithm for
- Presented by Yixiao Du at FPGA2022, online. Abstract:
- This is a video recording of a webinar hosted by the Institute for Advanced Computational Science at Stony Brook University on ...
- Paper by Haonan Ji, Huimin Song, Shibo Lu, Zhou Jin, Guangming Tan and Weifeng Liu, presented at ICPP'22.
In-Depth Information on Spcl Bcast Performance Engineering For Sparse Matrix Vector Multiplication
Speaker: Gerhard Wellein Venue: SPCL_Bcast, recorded on 25 March, 2021 Abstract: The NHR PerfLab seminar talk on February 1, 2022 Speaker: Christie L. Alappat, Erlangen National High This video introduces sparse matrices and their use in By Davor Sluga, University of Ljubljana, Faculty of Computer and Information Science. Ratko Pilipovi?, University of Ljubljana, ...
Speaker: Aydın Buluç Venue: SPCL_Bcast, recorded on 24 March, 2022 Abstract: In addition to the traditional theory and ...
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