Addressing system-level trimming issues in on-chip nanophotonic networks

Nitta, Christopher; Farrens, Matthew; Akella, Venkatesh

doi:10.1109/hpca.2011.5749722

Cited by 57 publications

(48 citation statements)

References 24 publications

(39 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, the average trimming power per microring is actually 18% higher for CrON. In [12] we observed that the heating power required for trimming has a non-linear relationship with microring count, and our findings show that current injection has a nonlinear relationship as well. CrON requires more trimming power per microring since the network operates at a higher temperature due to the greater power consumption when compared to DCAF.…”

Section: Power Resultsmentioning

confidence: 60%

“…We used the Mintaka simulator to conduct these experiments. We will briefly describe the simulator here -for more details please see [12] and [14].…”

Section: Mintakamentioning

confidence: 99%

“…However, these active trimming techniques can result in a dramatic increase in the overall power requirements and even thermal runaway [12]. Trimming through heating has been shown to have a non-linear relationship to microring count [12], and recently researchers [3], [18] have shown a significant reduction in thermal sensitivity from that of PMMA upper cladding [25] investigated in [12]. Therefore, in this study we assume only current injection-based active trimming of microrings with a thermal sensitivity of 1pm/ • C and a Temperature Control Window of 20 • C. 2 …”

Section: Introductionmentioning

confidence: 99%

“…As a result, microring resonators are very sensitive to temperature and drift spectrally approximately 0.09nm/ • C. The resonance frequency can be "trimmed" to account for both fabrication imperfections and thermal drift, which can be accomplished dynamically by electrically injecting current (to shift the resonance towards the blue) or by heating the ring (to shift towards the red) [1]. However, these active trimming techniques can result in a dramatic increase in the overall power requirements and even thermal runaway [12]. Trimming through heating has been shown to have a non-linear relationship to microring count [12], and recently researchers [3], [18] have shown a significant reduction in thermal sensitivity from that of PMMA upper cladding [25] investigated in [12].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

DCAF - A Directly Connected Arbitration-Free Photonic Crossbar for Energy-Efficient High Performance Computing

Nitta

Farrens

Akella

2012

2012 IEEE 26th International Parallel and Distributed Processing Symposium

Self Cite

View full text Add to dashboard Cite

Abstract-DCAF is a directly connected arbitration free photonic crossbar that is realized by taking advantage of multiple photonic layers connected with photonic vias. In order to evaluate DCAF we developed a detailed implementation model for the network and analyzed the power and performance on a variety of benchmarks, including SPLASH-2 and synthetic traces. Our results demonstrate that the overhead required by arbitration is non-trivial, especially at high loads. Eliminating the need for arbitration, sizing the buffers carefully and retransmitting lost packets when there is contention results in a 44% reduction in average packet latency without additional power overhead. We also use an analytical model for ScaLAPACK QR decomposition and find that a 64 processor DCAF could outperform a 1024 node cluster connected with 40Gbps links on matrices up to ∼500MB in size.

show abstract

Section: Power Resultsmentioning

confidence: 60%

“…We used the Mintaka simulator to conduct these experiments. We will briefly describe the simulator here -for more details please see [12] and [14].…”

Section: Mintakamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

DCAF - A Directly Connected Arbitration-Free Photonic Crossbar for Energy-Efficient High Performance Computing

Nitta

Farrens

Akella

2012

2012 IEEE 26th International Parallel and Distributed Processing Symposium

Self Cite

View full text Add to dashboard Cite

show abstract

“…Ye et al [10] presented a system-level analytical thermal model for general ONoCs and analyzed the thermal power of the optical devices. Nitta et al [11] analyzed the trimming power of the microrings when the temperature changes firstly and then proposed the SRW and PMMA-clad resonators to decrease the trimming power. Xu et al [12] proposed a series of solutions to the wavelength drifting problem of microrings and bandwidth loss problem of the optical network, due to PV.…”

Section: Related Workmentioning

confidence: 99%

Optimize the Power Consumption and SNR of the 3D Photonic High-Radix Switch Architecture Based on Extra Channels and Redundant Rings

Jian

Lai

Xiao

2018

Journal of Computer Networks and Communications

View full text Add to dashboard Cite

e demand from exascale computing has made the design of high-radix switch chips an attractive and challenging research field in EHPC (exascale high-performance computing). e static power, due to the thermal sensitivity and process variation of the microresonator rings, and the cross talk noise of the optical network become the main bottlenecks of the network's scalability. is paper proposes the analyze model of the trimming power, process variation power, and signal-to-noise ratio (SNR) for the Graphein-based high-radix optical switch networks and uses the extra channels and the redundant rings to decrease the trimming power and the process variation power. e paper also explores the SNR under different configurations. e simulation result shows that when using 8 extra channels in the 64 × 64 crossbar optical network, the trimming power reduces almost 80% and the process variation power decreases 65% by adding 16 redundant rings in the 64 × 64 crossbar optical network. All of these schemes have little influence on the SNR. Meanwhile, the greater channel spacing has great advantages to decrease the static power and increase the SNR of the optical network.

show abstract

Silicon photonic networks: Signal loss and power challenges

Crespo

Sánchez

Alfaro-Cortés

2018

Concurrency and Computation

View full text Add to dashboard Cite

Exascale systems are in need for alternative interconnection technologies. Electrical interconnects are not likely to scale well to a large number of computing nodes in terms of energy efficiency and latency. Silicon photonic networks stand as the main alternative to solve this problem, but arewe there yet? In this paper, we exhibit some challenges to be solved for this technology to become a viable solution. Signal loss sources play a critical role in photonic network designs as they restrict the ability to perform data transmission in an effective way. KEYWORDS networks, optical interconnects, photonics INTRODUCTIONProgress in scientific fields, including clime, aerospace, biotechnology, and energy, depends largely on the ability to perform costly and complex simulations. Supercomputers are the only viable option to support such computations, and intense research is focusing on increasing the computing capability of these systems. In fact, the main objective is the design of exascale systems, for which it becomes necessary to greatly increase the number of compute nodes. This raises numerous challenges that must be solved to obtain an efficient system in terms of cost, energy consumption, and performance. Some of these challenges are: scalable system software, resilience and correctness, programming systems, energy efficiency, or interconnect technology.A significant growth in parallelism implies that the system performance is greatly determined by the communication generated when running the parallel applications, even more than the arithmetic operations. Note that data transfers exist at several levels: between compute and storage nodes, between compute nodes, and between the multiple computing resources of each multicore node. Therefore, data movement is a critical barrier toward realizing the exascale systems, and thus, the interconnection network is a key component of exascale systems.Moving to exascale systems seems that it will not be possible with a traditional incremental strategy, and significant qualitative changes will be necessary. In the case of the interconnect systems, electrical interconnects are not likely to scale well to a large number or computing nodes in terms of energy efficiency and latency 1 ; therefore, different technologies to the traditional ones could contribute to achieve this objective. Photonics is perhaps the most disruptive technology 2-5 due to its capabilities to transmit and receive high bandwidth signals with higher power efficiency and immunity to degradation.Significant progress has been made over the past decade in optical device integration. 6-8 However, photonic devices are different in how they function, and exploiting all its advantages would require a significant change in how on-and off-chip interconnects are designed. Nevertheless, this paradigm has some challenges to be addressed, for example, optical signal buffering is greatly limited by the write speed of data. 9 Schemes keeping the writings to its minimum would be needed. Therefore, new proposals to solve t...

show abstract

Addressing system-level trimming issues in on-chip nanophotonic networks

Cited by 57 publications

References 24 publications

DCAF - A Directly Connected Arbitration-Free Photonic Crossbar for Energy-Efficient High Performance Computing

DCAF - A Directly Connected Arbitration-Free Photonic Crossbar for Energy-Efficient High Performance Computing

Optimize the Power Consumption and SNR of the 3D Photonic High-Radix Switch Architecture Based on Extra Channels and Redundant Rings

Silicon photonic networks: Signal loss and power challenges

Contact Info

Product

Resources

About