Public cloud providers seek to meet stringent performance requirements and low hardware
cost. A key driver of performance and cost is main memory. Memory pooling promises to …

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 …

Disaggregated memory can address resource provisioning inefficiencies in current
datacenters. Multiple software runtimes for disaggregated memory have been proposed in …

Hybrid computing platforms, comprising CPU cores and FPGA logic, are increasingly used
for accelerating data-intensive workloads in cloud deployments, and are a growing topic of …

Memory disaggregation over RDMA can improve the performance of memory-constrained
applications by replacing disk swap** with remote memory accesses. However, state-of …

Far memory, where memory accesses are non-local, has become more popular in recent
years as a solution to expand memory size and avoid memory stranding. Prior far memory …

Datacenters of today have maintained the same architecture for decades. The building block
of the datacenter remains the server, which tightly couples the necessary compute …

Remote memory techniques are gaining traction in datacenters because they can
significantly improve memory utilization. A popular approach is to use kernel-level, page …

With rapid advances in network hardware, far memory has gained a great deal of traction
due to its ability to break the memory capacity wall. Existing far memory systems fall into one …

Microsecond I/O will make data serialization a major bottleneck for datacenter applications.
Serialization is fundamentally about data movement: serialization libraries coalesce and …