论文出处：Dynamic_Management_of_In-Memory_Storage_for_Efficiently_Integrating_Compute-and_Data-Intensive_Computing_on_HPC_Systems.pdf2101.9KBDynamic Management of In-Memory Storage for Efficiently Integrating Compute-and Data-Intensive Computing on HPC SystemsIn order to boost the performance of data-intensive computing on HPC systems, in-memory computing frameworks, such as Apache Spark and Flink, use local DRAM for data storage. Optimizing the memory allocation to data storage is critical to delivering performance to traditional HPC compute jobs and throughput to data-intensive applications sharing the HPC resources.https://ieeexplore.ieee.org/document/7973742
