With the development and maturity of cloud storage, it has attracted a large number of users.
Although cloud users do not need to concern themselves with the infrastructure used for …

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 …

Emerging hybrid memory systems that comprise technologies such as Intel's Optane DC
Persistent Memory, exhibit disparities in the access speeds and capacity ratios of their …

Active development in new memory devices, such as non-volatile memories and high-
bandwidth memories, brings heterogeneous memory systems (HMS) as a promising …

Main memory dominates data center server cost, and hence data center operators are
exploring alternative technologies such as CXL-attached and persistent memory to improve …

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 …

In the rapidly evolving landscape of hybrid memory systems, which integrate different types
of memory, optimizing cache management is vital for achieving high performance and …

Modern large-scale computing clusters face scalability challenges with traditional DRAM-
based memory systems due to issues like increasing cell leakage current and reduced …

Application performance improvements in emerging systems with hybrid memory
components, such as DRAM and Intel's Optane DC persistent memory, are possible via …

The machine learning (ML) system has been an indispensable part of the ML ecosystem in
recent years. The rapid growth of ML brings new system challenges such as the need of …