Suraa: a novel method and tool for loadbalanced and coalesced spmv computations on gpus

HIGHLIGHTS

• who: Thaha Muhammed and colleagues from the Department of Computer Science, King Abdulzaziz University, Jeddah, Saudi Arabia have published the research work: SURAA: A Novel Method and Tool for Loadbalanced and Coalesced SpMV Computations on GPUs, in the Journal: (JOURNAL)
• what: The authors implement the SURAA method as a tool and compare its performance with the de facto best commercial (cuSPARSE) and open source (CUSP MAGMA) tools using widely used benchmarks comprising 26 high npr variance matrices from 13 diverse domains. The authors believe that the approach provides a fundamental shift in addressing SpMV related . . .
  

   

  

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