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 …

It is commonly believed that datacenter networking software must sacrifice generality to
attain high performance. The popularity of specialized distributed systems designed …

Modern RDMA hardware offers the potential for exceptional performance, but design
choices including which RDMA operations to use and how to use them significantly affect …

FaSST is an RDMA-based system that provides distributed in-memory transactions with
serializability and durability. Existing RDMA-based transaction processing systems use one …

Memory disaggregation architecture physically separates CPU and memory into
independent components, which are connected via high-speed RDMA networks, greatly …

Remote Direct Memory Access (RDMA) based network devices are increasingly being
deployed in modern data centers. RDMA brings significant performance improvements over …

Many datacenters and clouds manage storage systems separately from computing services
for better manageability and resource utilization. These existing disaggregated storage …

We present the nanoPU, a new NIC-CPU co-design to accelerate an increasingly pervasive
class of datacenter applications: those that utilize many small Remote Procedure Calls …

Big data applications often incur large costs in I/O, data transfer and copying overhead,
especially when operating in cloud environments. Since most such computations are …

Recently, there is an increasing interest in building data-center applications with RDMA
because of its low-latency, high-throughput, and low-CPU-utilization benefits. However …