Rethinking software runtimes for disaggregated memory
Disaggregated memory can address resource provisioning inefficiencies in current
datacenters. Multiple software runtimes for disaggregated memory have been proposed in …
datacenters. Multiple software runtimes for disaggregated memory have been proposed in …
Semeru: A {Memory-Disaggregated} managed runtime
Resource-disaggregated architectures have risen in popularity for large datacenters.
However, prior disaggregation systems are designed for native applications; in addition, all …
However, prior disaggregation systems are designed for native applications; in addition, all …
TMO: Transparent memory offloading in datacenters
The unrelenting growth of the memory needs of emerging datacenter applications, along
with ever increasing cost and volatility of DRAM prices, has led to DRAM being a major …
with ever increasing cost and volatility of DRAM prices, has led to DRAM being a major …
Contiguitas: The Pursuit of Physical Memory Contiguity in Datacenters
The unabating growth of the memory needs of emerging datacenter applications has
exacerbated the scalability bottleneck of virtual memory. However, reducing the excessive …
exacerbated the scalability bottleneck of virtual memory. However, reducing the excessive …
Disaggregated memory for expansion and sharing in blade servers
Analysis of technology and application trends reveals a growing imbalance in the peak
compute-to-memory-capacity ratio for future servers. At the same time, the fraction …
compute-to-memory-capacity ratio for future servers. At the same time, the fraction …
{AIFM}:{High-Performance},{Application-Integrated} far memory
Memory is the most contended and least elastic resource in datacenter servers today.
Applications can use only local memory—which may be scarce—even though memory …
Applications can use only local memory—which may be scarce—even though memory …
Efficient memory disaggregation with infiniswap
Memory-intensive applications suffer large performance loss when their working sets do not
fully fit in memory. Yet, they cannot leverage otherwise unused remote memory when paging …
fully fit in memory. Yet, they cannot leverage otherwise unused remote memory when paging …
System-level implications of disaggregated memory
K Lim, Y Turner, JR Santos, A AuYoung… - … Symposium on High …, 2012 - ieeexplore.ieee.org
Recent research on memory disaggregation introduces a new architectural building block—
the memory blade—as a cost-effective approach for memory capacity expansion and …
the memory blade—as a cost-effective approach for memory capacity expansion and …
Livia: Data-centric computing throughout the memory hierarchy
E Lockerman, A Feldmann, M Bakhshalipour… - Proceedings of the …, 2020 - dl.acm.org
In order to scale, future systems will need to dramatically reduce data movement. Data
movement is expensive in current designs because (i) traditional memory hierarchies force …
movement is expensive in current designs because (i) traditional memory hierarchies force …
Mind: In-network memory management for disaggregated data centers
Memory disaggregation promises transparent elasticity, high resource utilization and
hardware heterogeneity in data centers by physically separating memory and compute into …
hardware heterogeneity in data centers by physically separating memory and compute into …