A novel resource sharing model and high-level synthesis for delay variability-tolerant datapaths

2010 ◽  
Author(s):  
Keisuke Inoue ◽  
Mineo Kaneko
Keyword(s):  
Resource Sharing ◽  
High Level Synthesis ◽  
Delay Variability ◽  
High Level

Leveraging Automatic High-Level Synthesis Resource Sharing to Maximize Dynamical Voltage Overscaling with Error Control

2022 ◽  
Vol 27 (2) ◽  
pp. 1-18
Author(s):  
Prattay Chowdhury ◽  
Benjamin Carrion Schafer
Keyword(s):  
Resource Sharing ◽  
Error Control ◽  
Supply Voltage ◽  
Maximum Error ◽  
Error Threshold ◽  
Training Data ◽  
High Level Synthesis ◽  
Approximate Computing ◽  
Workload Distribution ◽  
High Level

Approximate Computing has emerged as an alternative way to further reduce the power consumption of integrated circuits (ICs) by trading off errors at the output with simpler, more efficient logic. So far the main approaches in approximate computing have been to simplify the hardware circuit by pruning the circuit until the maximum error threshold is met. One of the critical issues, though, is the training data used to prune the circuit. The output error can significantly exceed the maximum error if the final workload does not match the training data. Thus, most previous work typically assumes that training data matches with the workload data distribution. In this work, we present a method that dynamically overscales the supply voltage based on different workload distribution at runtime. This allows to adaptively select the supply voltage that leads to the largest power savings while ensuring that the error will never exceed the maximum error threshold. This approach also allows restoring of the original error-free circuit if no matching workload distribution is found. The proposed method also leverages the ability of High-Level Synthesis (HLS) to automatically generate circuits with different properties by setting different synthesis constraints to maximize the available timing slack and, hence, maximize the power savings. Experimental results show that our proposed method works very well, saving on average 47.08% of power as compared to the exact output circuit and 20.25% more than a traditional approximation method.

scholarly journals Quantitative Evaluation of Resource Sharing in High-level Synthesis Using Realistic Benchmarks

2013 ◽  
Vol 6 (0) ◽  
pp. 122-126 ◽  
Author(s):  
Yuko Hara-Azumi ◽  
Toshinobu Matsuba ◽  
Hiroyuki Tomiyama ◽  
Shinya Honda ◽  
Hiroaki Takada
Keyword(s):  
Quantitative Evaluation ◽  
Resource Sharing ◽  
High Level Synthesis ◽  
High Level
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