At a Glance: This is a video recording of a webinar hosted by the Institute for Advanced Computational Science at Stony Brook University on ... A PRACE training video tutorial on "Efficient SpMV on GPGPU", prepared by Wroclaw Centre for Networking and Supercomputing ...
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Context Core Points
This is a video recording of a webinar hosted by the Institute for Advanced Computational Science at Stony Brook University on ... This video is part of an online course, Intro to Parallel Programming. TileSpMV: A Tiled Algorithm for Sparse Matrix-Vector Multiplication on GPUs (IPDPS 2021)
Reference Follow-Up Tips
TileSpMV: A Tiled Algorithm for Sparse Matrix-Vector Multiplication on GPUs (IPDPS 2021) A PRACE training video tutorial on "Efficient SpMV on GPGPU", prepared by Wroclaw Centre for Networking and Supercomputing ...
Overview Search Overview
Speaker: Gerhard Wellein Venue: SPCL_Bcast, recorded on 25 March, 2021 Abstract: The By Davor Sluga, University of Ljubljana, Faculty of Computer and Information Science. Paper by Haonan Ji, Huimin Song, Shibo Lu, Zhou Jin, Guangming Tan and Weifeng Liu, presented at ICPP'22.
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Useful notes from the results
- Speaker: Gerhard Wellein Venue: SPCL_Bcast, recorded on 25 March, 2021 Abstract: The
- By Davor Sluga, University of Ljubljana, Faculty of Computer and Information Science.
- This is a video recording of a webinar hosted by the Institute for Advanced Computational Science at Stony Brook University on ...
- A PRACE training video tutorial on "Efficient SpMV on GPGPU", prepared by Wroclaw Centre for Networking and Supercomputing ...
- TileSpMV: A Tiled Algorithm for Sparse Matrix-Vector Multiplication on GPUs (IPDPS 2021)
- Paper by Haonan Ji, Huimin Song, Shibo Lu, Zhou Jin, Guangming Tan and Weifeng Liu, presented at ICPP'22.
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![[SPCL_Bcast] Performance Engineering for Sparse Matrix-Vector Multiplication](https://i.ytimg.com/vi/-MMx8h9vYmI/mqdefault.jpg)
