scholarly journals Intelligent On/Off Dynamic Link Management for On-Chip Networks

2012 ◽  
Vol 2012 ◽  
pp. 1-12 ◽  
Author(s):  
Andreas G. Savva ◽  
Theocharis Theocharides ◽  
Vassos Soteriou

Networks-on-chips (NoCs) provide scalable on-chip communication and are expected to be the dominant interconnection architectures in multicore and manycore systems. Power consumption, however, is a major limitation in NoCs today, and researchers have been constantly working on reducing both dynamic and static power. Among the NoC components, links that connect the NoC routers are the most power-hungry components. Several attempts have been made to reduce the link power consumption at both the circuit level and the system level. Most past research efforts have proposed selective on/off link state switching based on system-level information based on link utilization levels. Most of these proposed algorithms focus on a pessimistic and simple static threshold mechanism which determines whether or not a link should be turned on/off. This paper presents an intelligent dynamic power management policy for NoCs with improved predictive abilities based on supervised online learning of the system status (i.e., expected future utilization link levels), where links are turned off and on via the use of a small and scalable neural network. Simulation results with various synthetic traffic models over various network topologies show that the proposed work can reach up to 13% power savings when compared to a trivial threshold computation, at very low (<4%) hardware overheads.

2019 ◽  
Vol 8 (2) ◽  
pp. 438-442
Author(s):  
Farah Wahida Binti Zulkefli ◽  
P. Ehkan ◽  
M. N. M. Warip ◽  
Ng. Yen. Phing

Moore's prediction has been used to set targets for research and development in semiconductor industry for years now. A burgeoning number of processing cores on a chip demand competent and scalable communication architecture such as network-on-chip (NoC). NoC technology applies networking theory and methods to on-chip communication and brings noteworthy improvements over conventional bus and crossbar interconnections. Calculated performances such as latency, throughput, and bandwidth are characterized at design time to assured the performance of NoC. However, if communication pattern or parameters set like buffer size need to be altered, there might result in large area and power consumption or increased latency. Routers with large input buffers improve the efficiency of NoC communication while routers with small buffers reduce power consumption but result in high latency. This paper intention is to validate that size of buffer exert influence to NoC performance in several different network topologies. It is concluded that the way in which routers are interrelated or arranged affect NoC’s performance (latency) where different buffer sizes were adapted. That is why buffering requirements for different routers may vary based on their location in the network and the tasks assigned to them.


Sensors ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 462 ◽  
Author(s):  
Zhenyi Gao ◽  
Bin Zhou ◽  
Yang Li ◽  
Lei Yang ◽  
Xiang Li ◽  
...  

For signal processing of a Micro-Electro-Mechanical System (MEMS) Inertial Measurement Unit (IMU), a digital-analog hybrid system-on-chip (SoC) with small area and low power consumption was designed and implemented in this paper. To increase the flexibility of the processing circuit, the designed SoC integrates a low-power processor and supports three startup or debugging modes for different application scenarios. An application-specific computing module and communication interface are designed in the circuit to meet the requirements of IMU signal processing. The configurable clock allows users to dynamically balance computing speed and power consumption in their applications. The chip was taped out under SMIC 180 nm CMOS technology and tested for performance. The results show that the chip’s maximum running frequency is 105 MHz. The total area is 33.94 mm 2 . The dynamic and static power consumption are 0.65 mW/MHz and 0.30 mW/MHz, respectively. When the system clock is 25 MHz, the dynamic and static power consumption of the chip is 76 mW and 66 mW, and the dynamic and static power consumption of the FPGA level are 634 mW and 520 mW. The results verify the superiority of the application specific integrated circuit (ASIC) solution in terms of integration and low power consumption.


2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Lilia Kechiche ◽  
Lamjed Touil ◽  
Bouraoui Ouni

Driven by the importance of energy consumption in system-on-chip design as an evaluation factor, this paper presents a design methodology at the system level to optimize power consumption on ARM-based architecture for real-time video processing. The proposed design flow is based on the interaction between the tool and user optimizations. The tool optimizations are the options and best practices available on the integrated design environment for the Xilinx technology and the target Zynq-7000 architecture. The user methods present methods proposed by the user to optimize power consumption. We used the principles of voltage scaling and frequency scaling techniques for user methods. These two techniques allow energy to be consumed in the proportion of work to be done. The suggested flow is applied on real-time video processing system. The results show power savings for up to 60% with respect to performance and real-time constraints.


2021 ◽  
Vol 20 (5) ◽  
pp. 1-24
Author(s):  
Rashid Aligholipour ◽  
Mohammad Baharloo ◽  
Behnam Farzaneh ◽  
Meisam Abdollahi ◽  
Ahmad Khonsari

Nowadays, static power consumption in chip multiprocessor (CMP) is the most crucial concern of chip designers. Power-gating is an effective approach to mitigate static power consumption particularly in low utilization. Network-on-Chip (NoC) as the backbone of multi- and many-core chips has no exception. Previous state-of-the-art techniques in power-gating desire to decrease static power consumption alongside the lack of diminution in performance of NoC. However, maintaining the performance and utilization of the power-gating approach has not yet been addressed very well. In this article, we propose TAMA (Turn-Aware Mapping & Architecture) as an effective method to boost the performance of the TooT method that was only powering on a router during turning pass or packet injection. In other words, in the TooT method, straight and eject packets pass the router via a bypass route without powering on the router. By employing meta-heuristic approaches (Genetic and Ant Colony algorithms), we develop a specific application mapping that attempts to decrease the number of turns through interconnection networks. Accordingly, the average latency of packet transmission decreases due to fewer turns. Also, by powering on turn routers in advance with lightweight hardware, the latency of sending packets diminishes. The experimental results demonstrate that our proposed approach, i.e., TAMA achieves more than 13% reduction in packet latency of NoC in comparison with TooT. Besides the packet latency, the power consumption of TAMA is reduced by about 87% compared to the traditional approach.


Author(s):  
A. Ferrerón Labari ◽  
D. Suárez Gracia ◽  
V. Viñals Yúfera

In the last years, embedded systems have evolved so that they offer capabilities we could only find before in high performance systems. Portable devices already have multiprocessors on-chip (such as PowerPC 476FP or ARM Cortex A9 MP), usually multi-threaded, and a powerful multi-level cache memory hierarchy on-chip. As most of these systems are battery-powered, the power consumption becomes a critical issue. Achieving high performance and low power consumption is a high complexity challenge where some proposals have been already made. Suarez et al. proposed a new cache hierarchy on-chip, the LP-NUCA (Low Power NUCA), which is able to reduce the access latency taking advantage of NUCA (Non-Uniform Cache Architectures) properties. The key points are decoupling the functionality, and utilizing three specialized networks on-chip. This structure has been proved to be efficient for data hierarchies, achieving a good performance and reducing the energy consumption. On the other hand, instruction caches have different requirements and characteristics than data caches, contradicting the low-power embedded systems requirements, especially in SMT (simultaneous multi-threading) environments. We want to study the benefits of utilizing small tiled caches for the instruction hierarchy, so we propose a new design, ID-LP-NUCAs. Thus, we need to re-evaluate completely our previous design in terms of structure design, interconnection networks (including topologies, flow control and routing), content management (with special interest in hardware/software content allocation policies), and structure sharing. In CMP environments (chip multiprocessors) with parallel workloads, coherence plays an important role, and must be taken into consideration.


Nanophotonics ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 937-945
Author(s):  
Ruihuan Zhang ◽  
Yu He ◽  
Yong Zhang ◽  
Shaohua An ◽  
Qingming Zhu ◽  
...  

AbstractUltracompact and low-power-consumption optical switches are desired for high-performance telecommunication networks and data centers. Here, we demonstrate an on-chip power-efficient 2 × 2 thermo-optic switch unit by using a suspended photonic crystal nanobeam structure. A submilliwatt switching power of 0.15 mW is obtained with a tuning efficiency of 7.71 nm/mW in a compact footprint of 60 μm × 16 μm. The bandwidth of the switch is properly designed for a four-level pulse amplitude modulation signal with a 124 Gb/s raw data rate. To the best of our knowledge, the proposed switch is the most power-efficient resonator-based thermo-optic switch unit with the highest tuning efficiency and data ever reported.


Micromachines ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 54
Author(s):  
Yan-Li Zheng ◽  
Ting-Ting Song ◽  
Jun-Xiong Chai ◽  
Xiao-Ping Yang ◽  
Meng-Meng Yu ◽  
...  

The photoelectric hybrid network has been proposed to achieve the ultrahigh bandwidth, lower delay, and less power consumption for chip multiprocessor (CMP) systems. However, a large number of optical elements used in optical networks-on-chip (ONoCs) generate high transmission loss which will influence network performance severely and increase power consumption. In this paper, the Dijkstra algorithm is adopted to realize adaptive routing with minimum transmission loss of link and reduce the output power of the link transmitter in mesh-based ONoCs. The numerical simulation results demonstrate that the transmission loss of a link in optimized power control based on the Dijkstra algorithm could be maximally reduced compared with traditional power control based on the dimensional routing algorithm. Additionally, it has a greater advantage in saving the average output power of optical transmitter compared to the adaptive power control in previous studies, while the network size expands. With the aid of simulation software OPNET, the network performance simulations in an optimized network revealed that the end-to-end (ETE) latency and throughput are not vastly reduced in regard to a traditional network. Hence, the optimized power control proposed in this paper can greatly reduce the power consumption of s network without having a big impact on network performance.


Electronics ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 563
Author(s):  
Jorge Pérez-Bailón ◽  
Belén Calvo ◽  
Nicolás Medrano

This paper presents a new approach based on the use of a Current Steering (CS) technique for the design of fully integrated Gm–C Low Pass Filters (LPF) with sub-Hz to kHz tunable cut-off frequencies and an enhanced power-area-dynamic range trade-off. The proposed approach has been experimentally validated by two different first-order single-ended LPFs designed in a 0.18 µm CMOS technology powered by a 1.0 V single supply: a folded-OTA based LPF and a mirrored-OTA based LPF. The first one exhibits a constant power consumption of 180 nW at 100 nA bias current with an active area of 0.00135 mm2 and a tunable cutoff frequency that spans over 4 orders of magnitude (~100 mHz–152 Hz @ CL = 50 pF) preserving dynamic figures greater than 78 dB. The second one exhibits a power consumption of 1.75 µW at 500 nA with an active area of 0.0137 mm2 and a tunable cutoff frequency that spans over 5 orders of magnitude (~80 mHz–~1.2 kHz @ CL = 50 pF) preserving a dynamic range greater than 73 dB. Compared with previously reported filters, this proposal is a competitive solution while satisfying the low-voltage low-power on-chip constraints, becoming a preferable choice for general-purpose reconfigurable front-end sensor interfaces.


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