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New directions in computing and algorithms has lead to some new applicationsthat have tolerance to imprecision. Although, These applications are creatinglarge volumes of data which exceeds the capability of today's computingsystems. Therefore, researchers are trying to find new techniques to alleviatethis crisis. Approximate Computing is one promising technique that uses a tradeoff between precision and efficiency of computing. Acceleration is anothersolution that uses specialized logics in order to do computations in a way thatis more power efficient. Another technique is Data compression which is used inmemory systems in order to save capacity and bandwidth.

Applying Data Compression Techniques on Systolic Neural Network Accelerator