Hybrid Interconnection Networks for Reducing Hardware Cost and Improving Path Diversity Based on Fat-Trees and Hypercubes

Author(s):  
Yaodong Wang ◽  
Yamin Li
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.


1983 ◽  
Vol 11 (3) ◽  
pp. 309-315 ◽  
Author(s):  
W. Kent Fuchs ◽  
Jacob A. Abraham ◽  
Kuang-Hua Huang

2021 ◽  
Vol 29 (3) ◽  
Author(s):  
Weimin Gao ◽  
Jiawei Huang ◽  
Shaojun Zou ◽  
Weihe Li ◽  
Jianxin Wang ◽  
...  

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