A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
Applying Data Compression Techniques on Systolic Neural Network Accelerator
[article]
2016
arXiv
pre-print
New directions in computing and algorithms has lead to some new applications that have tolerance to imprecision. Although, These applications are creating large volumes of data which exceeds the capability of today's computing systems. Therefore, researchers are trying to find new techniques to alleviate this crisis. Approximate Computing is one promising technique that uses a trade off between precision and efficiency of computing. Acceleration is another solution that uses specialized logics
arXiv:1701.03734v1
fatcat:nc7alulx3bbtxczw62wfekumie