Two papers got accepted in SC 2020!

Two papers are accepted in SC 2020: "INEC: Fast and Coherent In-Network Erasure Coding" and "RDMP-KV: Designing Remote Direct Memory Persistence-based Key-Value Stores with PMEM".

Congratulations to Haiyang, Tianxi, Shashank, and Dr. Shankar!

Paper Info

[SC'20] INEC: Fast and Coherent In-Network Erasure Coding

Haiyang Shi and Xiaoyi Lu.

In Proceedings of the 33rd International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2020. (Acceptance Rate: 22.3%)

Abstract

Erasure coding (EC) is a promising fault tolerance scheme that has been applied to many well-known distributed storage systems. The capability of Coherent EC Calculation and Networking on modern SmartNICs has demonstrated that EC will be an essential feature of in-network computing. In this paper, we propose a set of coherent in-network EC primitives, named INEC. Our analyses based on the proposed $\alpha$-$\beta$ performance model demonstrate that INEC primitives can enable different kinds of EC schemes to fully leverage the EC offload capability on modern SmartNICs. We implement INEC on commodity RDMA NICs and integrate it into five state-of-the-art EC schemes. Our experiments show that INEC primitives significantly reduce 50th , 95th , and 99th percentile latencies, and accelerate the end-to-end throughput, write, and degraded read performance of the key-value store co-designed with INEC by up to 99.57%, 47.30%, and 49.55%, respectively.

[SC'20] RDMP-KV: Designing Remote Direct Memory Persistence-based Key-Value Stores with PMEM

Tianxi Li*, Dipti Shankar*, Shashank Gugnani, and Xiaoyi Lu.

In Proceedings of the 33rd International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2020. (Acceptance Rate: 22.3%, *Co-First Authors)

Abstract

Byte-addressable persistent memory (PMEM) can be directly manipulated by Remote Direct Memory Access (RDMA) capable networks. However, existing studies to combine RDMA and PMEM can not deliver the desired performance due to their PMEM-oblivious communication protocols. In this paper, we propose novel PMEM-aware RDMA-based communication protocols for persistent key-value stores, referred to as Remote Direct Memory Persistence based Key-Value stores (RDMP- KV). RDMP-KV employs a hybrid ‘server-reply/server-bypass’ approach to ‘durably’ store individual key-value objects on PMEM-equipped servers. RDMP-KV’s runtime can easily adapt to existing (server-assisted durability) and emerging (appliance durability) RDMA-capable interconnects, while ensuring server scalability through a lightweight consistency scheme. Performance evaluations show that RDMP-KV can improve the server-side performance with different persistent key-value storage architectures by up to 22x, as compared with PMEM-oblivious RDMA-‘Server-Reply’ protocols. Our evaluations also show that RDMP-KV outperforms a distributed PMEM-based filesystem by up to 65% and a recent RDMA-to-PMEM framework by up to 71%.