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It is becoming increasingly popular for distributed systems to exploitoffload to reduce load on the CPU. Remote Direct Memory Access (RDMA) offload,in particular, has become popular. However, RDMA still requires CPUintervention for complex offloads that go beyond simple remote memory access.As such, the offload potential is limited and RDMA-based systems usually haveto work around such limitations.  We present RedN, a principled, practical approach to implementing complexRDMA offloads, without requiring any hardware modifications. Usingself-modifying RDMA chains, we lift the existing RDMA verbs interface to aTuring complete set of programming abstractions. We explore what is possible interms of offload complexity and performance with a commodity RDMA NIC. We showhow to integrate these RDMA chains into applications, such as the Memcachedkey-value store, allowing us to offload complex tasks such as key lookups. RedNcan reduce the latency of key-value get operations by up to 2.6x compared tostate-of-the-art KV designs that use one-sided RDMA primitives (e.g., FaRM-KV),as well as traditional RPC-over-RDMA approaches. Moreover, compared to thesebaselines, RedN provides performance isolation and, in the presence ofcontention, can reduce latency by up to 35x while providing applications withfailure resiliency to OS and process crashes.

RDMA is Turing complete, we just did not know it yet!