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CLUSTER GRAPHICAL PROCESSING UNIT (GPU) RESOURCE SHARING EFFICIENCY BY DIRECTED ACYCLIC GRAPH (DAG) GENERATION

机译:通过直接非循环图形(DAG)生成的集群图形处理单元(GPU)资源共享效率

摘要

Embodiments for graphical processing unit (GPU) resource sharing in a computing cluster, by a processor device. Resource-specific stages are dynamically generated in a directed acyclic graph (DAG) using a DAG interpreter for a set of tasks by creating equivalence stages in the DAG having an associated inserted set of shuffle stages, the equivalence stages created based on a determined cost of each stage of the set of shuffle stages. Backlog tasks are scheduled and tasks within the set of tasks are shifted among respective stages in the equivalence stages according to the determined cost to avoid overlapping allocation of the GPU resource during central processing unit (CPU) execution of the respective tasks of the set of tasks.
机译:处理器设备在计算集群中共享图形处理单元(GPU)资源的实施例。使用DAG解释器在有向无环图(DAG)中针对一组任务动态生成特定于资源的阶段,方法是在DAG中创建具有关联插入的一组洗牌阶段的等效阶段,该等效阶段基于确定的成本洗牌阶段的每个阶段。计划待办任务,并根据确定的成本在等效阶段的相应阶段之间转移任务组中的任务,以避免在中央处理单元(CPU)执行任务组的各个任务期间GPU资源的重叠分配。

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