Deep learning has transformed the use of machine learning technologies for the analysis of
large experimental datasets. In science, such datasets are typically generated by large-scale …

With the increasing popularity of the Internet of Things and massive Machine Type
Communication technologies, the number of connected devices is rising. However, although …

As modern attacks become more stealthy and persistent, detecting or preventing them at
their early stages becomes virtually impossible. Instead, an attack investigation or …

This paper investigates the feasibility of using inexpensive flash memory on new
interconnect technologies such as CXL (Compute Express Link) to overcome the memory …

Memory access is the major bottleneck in realizing multi-hundred-gigabit networks with
commodity hardware, hence it is essential to make good use of cache memory that is a …

This paper presents PPA (Persistent Processor Architecture), simple microarchitectural
support for lightweight yet performant whole-system persistence. PPA offers fully transparent …

An increasing number of edge systems have large computational demands, stringent
resource constraints, and end-to-end quality-driven goodness metrics. Architects have …

Current HPC systems provide memory resources that are statically configured and tightly
coupled with compute nodes. However, workloads on HPC systems are evolving. Diverse …

As we enter the era of domain-specific architectures, systems researchers must understand
the requirements of emerging application domains. Augmented and virtual reality (AR/VR) or …

This paper investigates whole-system persistence (WSP) that ensures hassle-free crash
consistency for all programs while simultaneously leveraging both advantages of the non …