Tsinghua University

Jinlei Jiang

Kang Chen

Yongwei Wu

Ke Yang

Mingxing Zhang

Shuke Wang

Chengying Huan

Mengxing Liu

Shaonan Ma

Systems and methods are provided for performing random walk graph computing. One method may comprise generating a subset of walkers on a graph, maintaining the generated subset of walkers in a walker pool in a memory, loading a coarse-grained block of the graph from a non-volatile storage into a block buffer of the memory, generating pre-sampled edges for vertices in the coarse-grained block, storing the pre-sampled edges into a pre-sampled edge buffer allocated for the coarse-grained block and moving one or more walkers of the generated subset of walkers using the pre-sampled edges stored in the pre-sampled edge buffer. The generated subset of walkers may have an initial number determined based on a memory space allocated to the walker pool.

Systems and methods for general-purpose out-of-core random walk graph computing

Systems and methods are provided for performing temporal graph computing. One method may comprise receiving an input temporal graph that have a plurality of edges with each edge connecting from one vertex instance to another vertex instance, generating in-vertices and out-vertices for each vertex instance, merging the in-vertices and out-vertices into hub vertices for each vertex instance and generating a directed acyclic graph (DAG), receiving a minimum path problem, and scanning the DAG once to provide a solution to the minimum path problem. The merging of vertices and generation of the DAG may be performed by sorting all out-vertices using a 2-dimensional radix sort, generating a respective set of hub vertices for each vertex instance, relabeling the in-vertices and the out-vertices to their respective hub vertices for each vertex instance by a parallel binary search and updating edges affected by the relabeling, and assembling relabeled edges and vertices.

Systems and methods for general-purpose temporal graph computing

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Beijing, China

Jinlei Jiang