Heterogeneous Memory Allocation Scheme for Batch Jobs with Intel Optane DC Persistent Memory and DRAM

Che-Wei Chang, Kai-Jie Zhang
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Abstract

It is a promising approach to include Non-Volatile Memory (NVM) and DRAM together as the main memory to provide huge memory space for large objects and guarantee short access latency for frequent writes and reads. To provide feasible and suitable memory allocation for all applications on a sever, our solution analyzes applications to derive the read-write ratio, memory footprint, and access pattern of each application. Heterogenous memory allocation scheme is then developed to reduce the makespan of batch jobs.
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使用Intel Optane DC持久内存和DRAM的批处理作业的异构内存分配方案
将非易失性内存(Non-Volatile Memory, NVM)和DRAM一起作为主存是一种很有前途的方法,可以为大型对象提供巨大的内存空间,并为频繁的读写提供短的访问延迟。为了为服务器上的所有应用程序提供可行且合适的内存分配,我们的解决方案分析应用程序以得出每个应用程序的读写比率、内存占用和访问模式。然后,开发了异构内存分配方案,以减少批处理作业的完工时间。
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