The past decade has seen the development of many shared-memory graph processing frameworks intended to reduce the effort of developing high-performance parallel …
Z Shen, Z Wan, Y Gu, Y Sun - Proceedings of the 34th ACM Symposium …, 2022 - dl.acm.org
Some recent papers showed that many sequential iterative algorithms can be directly parallelized, by identifying the dependences between the input objects. This approach …
Graph analytics frameworks, typically based on Vertex-centric or Edge-centric paradigms suffer from poor cache utilization, irregular memory accesses, heavy use of synchronization …
There are two goals in designing efficient parallel algorithms: to reduce work, and to improve parallelism. Work-efficiency, meaning that the work (total number of operations) is …
Past decade has seen the development of many shared-memory graph processing frameworks, intended to reduce the effort of developing high performance parallel …