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

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 …

GPU memory virtualization has become essential for efficient programming, memory
management, and address space sharing among computing devices in heterogeneous …

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 …

Expensive page table walks triggered by frequent TLB misses have incurred major
performance bottlenecks for data-intensive workloads that are dominated by memory …

Virtual memory translation has become a key performance bottleneck of memory-intensive
workloads in virtualized cloud environments. On the x86 architecture, a nested translation …

Virtual memory systems rely on the page table, a crucial component that maps virtual
addresses to physical addresses (ie, address translation). While the Radix Page Table …

Hardware based memory pooling enabled by interconnect standards like CXL have been
gaining popularity amongst cloud providers and system integrators. While pooling memory …

The ICMA (Improved Contiguous Memory Allocation) approach represents a transformative
rethinking of the traditional Contiguous Memory Allocation (CMA) method, aiming to …