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In applications such as sharded data processing systems, sharded in-memorykey-value stores, data flow programming and load sharing applications, multipleconcurrent data producers are feeding requests into the same data consumer.This can be naturally realized through concurrent queues, where each consumerpulls its tasks from its dedicated queue. For scalability, wait-free queues areoften preferred over lock based structures.  The vast majority of wait-free queue implementations, and even lock-freeones, support the multi-producer multi-consumer model. Yet, this comes at apremium, since implementing wait-free multi-producer multi-consumer queuesrequires utilizing complex helper data structures. The latter increases thememory consumption of such queues and limits their performance and scalability.Additionally, many such designs employ (hardware) cache unfriendly memoryaccess patterns.  In this work we study the implementation of wait-free multi-producersingle-consumer queues. Specifically, we propose Jiffy, an efficient memoryfrugal novel wait-free multi-producer single-consumer queue and formally proveits correctness. We then compare the performance and memory requirements ofJiffy with other state of the art lock-free and wait-free queues. We show thatindeed Jiffy can maintain good performance with up to 128 threads, delivers upto 50% better throughput than the next best construction we compared against,and consumes ~90% less memory.

Jiffy: A Fast, Memory Efficient, Wait-Free Multi-Producers Single-Consumer Queue