THESIS
2022
1 online resource (xiii, 77 pages) : illustrations (chiefly color)
Abstract
As large-scale applications are demanding more computation power while Moore’s Law is slowing
down, rack-scale computing systems are being developed to meet the increasing computation
and energy requirements. With the mainstream paradigm in high-performance computer
architecture being shifted considerably from single-core systems toward multi-core computing
systems, system performance and energy efficiency are extensively challenged by the communication
capacity among processing units and memories/storage. The emerging silicon photonics,
on the other hand, promises exceedingly high bandwidth, low latency, and low energy consumption
by enabling optical interconnects between entities. However, the inherent distinction
between optical interconnects and electrical ones requires fundamental...[
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As large-scale applications are demanding more computation power while Moore’s Law is slowing
down, rack-scale computing systems are being developed to meet the increasing computation
and energy requirements. With the mainstream paradigm in high-performance computer
architecture being shifted considerably from single-core systems toward multi-core computing
systems, system performance and energy efficiency are extensively challenged by the communication
capacity among processing units and memories/storage. The emerging silicon photonics,
on the other hand, promises exceedingly high bandwidth, low latency, and low energy consumption
by enabling optical interconnects between entities. However, the inherent distinction
between optical interconnects and electrical ones requires fundamentally different methods to
compose a system-level communication network. We systematically analyze the rack-scale optical
network (RSON) architecture with different path reservation schemes and optical inter-chip
networks and the most commonly used architecture for high-performance computing systems.
We explore the RSON architecture, floorplan optimized delta optical network (FODON) switch
architecture and the preemptive chain feedback (PCF) scheme to optimize multi-domain path
reservation. We also propose a systematic approach to optimizing the overall energy-delay
product of the photonic backplane network for rack-scale computing systems. Experimental
results show that the RSON with FODON switch and PCF scheme can improve system performance
per energy consumption by up to 5x, and around 4x on average, while still maintaining
better scalability than state-of-the-art systems. Also, the system with proposed 2-layer photonic backplane network with the floorplan optimization improves system performance by 3x and improve
system performance per energy consumption by around 46 %, which can also maintain
good scalability.
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