Algorithms

In this blog post, we explore the mathematical underpinnings of contraction algorithms and their role in transforming sequential algorithms into Work efficient parallelizable constructs.

In this post, we explore the limits of parallel computing for algorithm speed-up, focusing on the role of task granularity and the advantages of using constant input thresholds in hybrid parallel-sequential approaches.

GraphBLAS leverages sparse matrix computations in an extended algebra of semirings, providing a scalable and efficient framework for expressing graph algorithms through linear algebra.