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Optically-Connected Memory: Architectures and Experimental Characterizations
Growing demands on future data centers and high-performance computing systems are driving the development of processor-memory interconnects with greater performance and flexibility than can be provided by existing electronic interconnects. A redesign of the systems' memory devices and architectures will be essential to enabling high-bandwidth, low-latency, resilient, energy-efficient memory systems that can meet the challenges of exascale systems and beyond. By leveraging an optics-based approach, this thesis presents the design and implementation of an optically-connected memory system that exploits both the bandwidth density and distance-independent energy dissipation of photonic transceivers, in combination with the flexibility and scalability offered by optical networks. By replacing the electronic memory bus with an optical interconnection network, novel memory architectures can be created that are otherwise infeasible. With remote optically-connected memory nodes accessible to processors as if they are local, programming models can be designed to utilize and efficiently share greater amounts of data. Processors that would otherwise be idle, being starved for data while waiting for scarce memory resources, can instead operate at high utilizations, leading to drastic improvements in the overall system performance. This work presents a prototype optically-connected memory module and a custom processor-based optical-network-aware memory controller that communicate transparently and all-optically across an optical interconnection network. The memory modules and controller are optimized to facilitate memory accesses across the optical network using a packet-switched, circuit-switched, or hybrid packet-and-circuit-switched approach. The novel memory controller is experimentally demonstrated to be compatible with existing processor-memory access protocols, with the memory controller acting as the optics-computing interface to render the optical network transparent. Additionally, the flexibility of the optical network enables additional performance benefits including increased memory bandwidth through optical multicasting. This optically-connected architecture can further enable more resilient memory system realizations by expanding on current error dectection and correction memory protocols. The integration of optics with memory technology constitutes a critical step for both optics and computing. The scalability challenges facing main memory systems today, especially concerning bandwidth and power consumption, complement well with the strengths of optical communications-based systems. Additionally, ongoing efforts focused on developing low-cost optical components and subsystems that are suitable for computing environments may benefit from the high-volume memory market. This work therefore takes the first step in merging the areas of optics and memory, developing the necessary architectures and protocols to interface the two technologies, and demonstrating potential benefits while identifying areas for future work. Future computing systems will undoubtedly benefit from this work through the deployment of high-performance, flexible, energy-efficient optically-connected memory architectures
High capacity photonic integrated switching circuits
As the demand for high-capacity data transfer keeps increasing in high performance computing and in a broader range of system area networking environments; reconfiguring the strained networks at ever faster speeds with larger volumes of traffic has become a huge challenge. Formidable bottlenecks appear at the physical layer of these switched interconnects due to its energy consumption and footprint. The energy consumption of the highly sophisticated but increasingly unwieldy electronic switching systems is growing rapidly with line rate, and their designs are already being constrained by heat and power management issues. The routing of multi-Terabit/second data using optical techniques has been targeted by leading international industrial and academic research labs. So far the work has relied largely on discrete components which are bulky and incurconsiderable networking complexity. The integration of the most promising architectures is required in a way which fully leverages the advantages of photonic technologies. Photonic integration technologies offer the promise of low power consumption and reduced footprint. In particular, photonic integrated semiconductor optical amplifier (SOA) gate-based circuits have received much attention as a potential solution. SOA gates exhibit multi-terahertz bandwidths and can be switched from a high-gain state to a high-loss state within a nanosecond using low-voltage electronics. In addition, in contrast to the electronic switching systems, their energy consumption does not rise with line rate. This dissertation will discuss, through the use of different kind of materials and integration technologies, that photonic integrated SOA-based optoelectronic switches can be scalable in either connectivity or data capacity and are poised to become a key technology for very high-speed applications. In Chapter 2, the optical switching background with the drawbacks of optical switches using electronic cores is discussed. The current optical technologies for switching are reviewed with special attention given to the SOA-based switches. Chapter 3 discusses the first demonstrations using quantum dot (QD) material to develop scalable and compact switching matrices operating in the 1.55µm telecommunication window. In Chapter 4, the capacity limitations of scalable quantum well (QW) SOA-based multistage switches is assessed through experimental studies for the first time. In Chapter 5 theoretical analysis on the dependence of data integrity as ultrahigh line-rate and number of monolithically integrated SOA-stages increases is discussed. Chapter 6 presents some designs for the next generation of large scale photonic integrated interconnects. A 16x16 switch architecture is described from its blocking properties to the new miniaturized elements proposed. Finally, Chapter 7 presents several recommendations for future work, along with some concluding remark
Initial Measurements with the PETsys TOFPET2 ASIC Evaluation Kit and a Characterization of the ASIC TDC
For a first characterization, we used the two KETEK-PM3325-WB SiPMs each
equipped with a 3x3x5 mm LYSO scintillation crystal provided with the
PETsys TOFPET2 ASIC Evaluation Kit. We changed the lower of two discriminator
thresholds (D_T1) in the timing branch from vth_t1 = 5 - 30. The overvoltage
was varied in a range of 1.25 V - 7.25 V. The ambient temperature was kept at
16{\deg}C. For all measurements, we performed an energy calibration including a
correction for saturation. We evaluated the energy resolution, the coincidence
resolving time (CRT) and the coincidence rate. At an overvoltage of 6 V, we
obtained an energy resolution of about 10% FWHM, a CRT of approximately 210 ps
FWHM and 400 ps FWTM, the coincidence rate showed only small variations of
about 5%. To investigate the influence of the ambient temperature, it was
varied between 12{\deg}C - 20{\deg}C. At 12{\deg}C and an overvoltage of 6.5 V,
a CRT of approx. 195 ps FWHM and an energy resolution of about 9.5% FWHM could
be measured. Observed satellite peaks in the time difference spectra were
investigated in more detail. We could show that the location of the satellite
peaks is correlated with a programmable delay element in the trigger circuit.Comment: This paper is under review with IEEE TRPMS. It has been presented in
a talk at the PSMR 2018. This version of the manuscript was submitted as
revision 2 to TRPMS after incrporating the comments of the reviewers. Only
minor textchanges were made. Results, values and figures did not chang
Optics and virtualization as data center network infrastructure
The emerging cloud services have motivated a fresh look at the design of data center network infrastructure in multiple layers. To transfer the huge amount of data generated by many data intensive applications, data center network has to be fast, scalable and power efficient. To support flexible and efficient sharing in cloud services, service providers deploy a virtualization layer as part of the data center infrastructure.
This thesis explores the design and performance analysis of data center network infrastructure in both physical network and virtualization layer. On the physical network design front, we present a hybrid packet/circuit switched network architecture which uses circuit switched optics to augment traditional packet-switched Ethernet in modern data centers. We show that this technique has substantial potential to improve bisection bandwidth and application performance in a cost-effective manner. To push the adoption of optical circuits in real cloud data centers, we further explore and address the circuit control issues in shared data center environments. On the virtualization layer, we present an analytical study on the network performance of virtualized data centers. Using Amazon EC2 as an experiment platform, we quantify the impact of virtualization on network performance in commercial cloud. Our findings provide valuable insights to both cloud users in moving legacy application into cloud and service providers in improving the virtualization infrastructure to support better cloud services
Hybrid Router Design for High Performance Photonic Network-On-Chip
With rising density of cores in Chip-Multiprocessors, traditional metallic interconnects won't be able to cater to the high demand in communication bandwidth at lower power consumption. Photonic interconnects are emerging as a very competitive and promising alternative to address these bottlenecks in recent times. The infrastructure for realizing such a communication architecture comprises of Micro Ring-resonator based silicon nano-photonic routers and waveguides. We propose a novel 5x5 photonic router microarchitecture employing mode-division-multiplexing along with wavelength-division-multiplexing and time-division-multiplexing. It increases the aggregate bandwidth almost four times in a network consuming almost 30% less power as compared to other recent photonic routers and laying the foundation of a high performance photonic network-on-chip(PNoC). We validated the feasibility of the proposed architecture and developed a new circuit switched based network simulator(PhotoNoxim) based on the router microarchitecture proposed by us to validate it under various synthetic traffics and benchmark applications
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