DCP: Improving the Throughput of Asynchronous Pipeline by Dual Control Path

Abstract

Pipeline requires both low latency and high throughput. Synchronous pipeline achieves a near optimized throughput but suffers from the worst-case computation delay. Meanwhile, asynchronous pipeline keeps an optimized computation delay but suffers from the low throughput. In this paper, we present dual control path (DCP), a new structure of four-phase handshake asynchronous control path, to improve the throughput of asynchronous pipeline. We leverage the existing fully decoupled four-phase handshake elements and asymmetric delay elements to found DCP. Experimental results show the asynchronous pipeline with DCP could achieve high throughput as well as low computation delay, only with tiny area overhead.

A Review of EEG-Based Brain-Computer Interface Systems Design

“…Their method is proved efficient for the subjects to drive the wheelchair by mental control. Su et al [77] presented a dual control path method for the asynchronous BCIs. They combined two control paths for one data path and obtain a good performance.…”

Asynchronous brain-computer interface shared control of robotic grasping

“…Among these paradigms, MI is the most frequently used one because of the natural spontaneous signals used for building a BCI. MI-based BCI detects the changes of mu (8)(9)(10)(11)(12) and beta (13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28) rhythms according to the ERD/ERS potentials. However, MI signal analysis is a very challenging task to complete because of the low signal-to-noise ratio.…”

“…Thus, recently, the use of the shared control strategy [13] becomes a trend of development for asynchronous BCI systems. Su et al [14] proposed a Dual Control Path (DCP) method to improve the throughput of asynchronous pipeline. Their DCP had two control paths that were combined to control one data path.…”