The increasing demand of big data analytics for more main memory capacity in datacenters
and exascale computing environments is driving the integration of heterogeneous memory …

We evaluated Intel® Optane™ DC Persistent Memory and found that Intel's persistent
memory is highly sensitive to data locality, size, and access patterns, which becomes clearer …

Stream analytics has an insatiable demand for memory and performance. Emerging hybrid
memories combine commodity DDR4 DRAM with 3D-stacked High Bandwidth Memory …

Memory systems are crucial to the performance, power, and cost of high-performance
computing systems. Recently, multiple factors are driving the need for more complex, deep …

The Exascale Computing Project (ECP) Software Technology (ST) Focus Area is
responsible for developing critical software capabilities that will enable successful execution …

With the rapid development of cloud computing, numerous cloud services, containers, and
virtual machines have been bringing tremendous demands on high-performance memory …

With the DDR standard facing density challenges and the emergence of the non-volatile
memory technologies such as Cross-Point, phase change, and fast FLASH media, compute …

HPC workloads and their Increasing data processing demands have led to using in situ
execution, which couples simulation and analytics to reduce cross node memory accesses …

Hybrid memory systems integrate a variety of memory technologies, effectively expanding
the main memory capacity to meet the demands of emerging big data applications. Hybrid …

For hosting data-serving and caching workloads based on key-value stores in clouds, the
cost of memory represents a significant portion of the hosting expenses. The emergence of …