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AxTrain: Hardware-oriented neural network training for approximate inference
The intrinsic error tolerance of neural network (NN) makes approximate computing a
promising technique to improve the energy efficiency of NN inference. Conventional …
promising technique to improve the energy efficiency of NN inference. Conventional …
A network-based compute reuse architecture for IoT applications
The tremendous advancements in the Internet of Things (IoT) increasingly involve
computationally intensive services. These services often require more computation …
computationally intensive services. These services often require more computation …
Probability gate model based methods for approximate arithmetic circuits reliability estimation
J Jiang, T Wang, Z Wang - CCF Transactions on High Performance …, 2021 - Springer
With the rapid development of approximate computing technology, the reliability evaluation
of approximate circuits has attracted significant interest. So far, few methods can be applied …
of approximate circuits has attracted significant interest. So far, few methods can be applied …
Failure probability analysis and critical node determination for approximate circuits
Z Wang, J Jiang, T Wang - Integration, 2019 - Elsevier
Approximate circuits (ACs) relax the constraint of 100% functional correctness, and can be
utilized in many emerging applications, which increases the importance of their reliability …
utilized in many emerging applications, which increases the importance of their reliability …
Measuring compute-reuse opportunities for video processing acceleration
Increases in bandwidth for mobile and land-line networks enables devices to communicate
video at higher image and audio resolution. Processing these video streams is of interest for …
video at higher image and audio resolution. Processing these video streams is of interest for …
Low-power parallel data processing using computation reuse
A wide range of real-world applications, including DSP, deep learning, multimedia, and
scientific algorithms generally include fixed-point and floating-point arithmetic operations …
scientific algorithms generally include fixed-point and floating-point arithmetic operations …
RiskCap: Minimizing effort of error regulation for approximate computing
Quality management, which is responsible for controlling approximation quality to meet user
requirement, plays a key role in the applicability of approximate computing. An effective and …
requirement, plays a key role in the applicability of approximate computing. An effective and …