With the increase in memory-intensive applications, a memory-centric architecture has been proposed in which the central processing units (CPUs) access a pool of fabric-attached memory. This architecture eliminates the dependency of system components and provides benefits for achieving an independent upgrade cycle and fine-grained resource control. However, developing a memory-centric architecture requires new hardware and software for achieving the low-latency and high-bandwidth communication between the memory and the CPU. This paper presents a hardware prototype of a memory-centric architecture using Gen-Z, which is a new universal system interconnect optimized for ultralow latency and ultra-high bandwidth. The Gen-Z hardware prototype was designed according to the core specification 1.0a and implemented in two types of host interfaces. In this study, we measured the performance of the Gen-Z hardware prototype, i.e., the latency and throughput, and compared it with of the solid-state drive (SSD) and local memory. The experimental results indicated that the performance of remote memory access for a specific write request that utilizes the Gen-Z protocol was better than that of the SSD and local memory. Further, we discussed methods for improving the performance of the Gen-Z prototype. INDEX TERMS Disaggregated memory, fabric-attached memory, Gen-Z protocol, memory-centric architecture, universal system interconnect.
We propose and demonstrate a fiber Bragg grating (FBG) sensor network employing the code division multiple access (CDMA) technique to identify information from individual sensors. To detect information without considering time delays between sensors, a sliding correlation method is applied, in which two different signals with the same pseudo-random binary sequence (PRBS) pattern, but slightly different frequencies, are applied to the source and detector sides. Moreover, for time domain detection, a wavelength-to-time conversion technique using a wavelength dispersive medium is introduced. The experimental results show that the proposed sensor network has a wide strain dynamic range of 2,400 με and a low crosstalk of 950:1.
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