Memory disaggregation promises transparent elasticity, high resource utilization and
hardware heterogeneity in data centers by physically separating memory and compute into …

The unabating growth of the memory needs of emerging datacenter applications has
exacerbated the scalability bottleneck of virtual memory. However, reducing the excessive …

Modern programs are monolithic, combining code of varied provenance without isolation, all
the while running on network-connected devices. A vulnerability in any component may …

Address translation is a performance bottleneck in data-intensive workloads due to large
datasets and irregular access patterns that lead to frequent high-latency page table walks …

Double-fetch bugs are a plague across all major operating system kernels. They occur when
data is fetched twice across the user/kernel trust boundary while allowing concurrent …

To support highly scalable and fine-grained computing paradigms such as microservices
and serverless computing better, modern hardware-assisted confidential computing …

Irregular, memory-intensive applications often incur high translation lookaside buffer (TLB)
miss rates that result in significant address translation overheads. Employing huge pages is …

Conventional virtual memory (VM) frameworks enable a virtual address to flexibly map to
any physical address. This flexibility necessitates large data structures to store virtual-to …

Virtual memory is a cornerstone of modern computing systems. Introduced as one of the
earliest instances of hardware-software co-design, VM facilitates programmer-transparent …

Graph representations of data are ubiquitous in analytic applications. However, graph
workloads are notorious for having irregular memory access patterns with variable access …