Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The Internet of Things significantly increases the amount of data generated that strains the processing capability of current computing systems. Approximate computing can accelerate the computation and dramatically reduce the energy consumption with controllable accuracy loss. ,  propose a Resistive Associative Unit, called RAU, which approximates computation alongside processing cores. RAU exploits the data locality with associative memory. It finds a row which has the closest distance to input patterns while considering the impact of each bit index on the computation accuracy. Our evaluation shows that RAU can accelerate the GPGPU computation by 1.15x and improve the energy efficiency by 36% at only 10% accuracy loss.
['Mohsen Imani', 'Yan Cheng', 'Tajana Simunic Rosing']
I am writing a research paper on a idea Processing Acceleration with Resistive Memory-based Computation
[{"from": "human", "value": "I am writing a research paper on a idea Processing Acceleration with Resistive Memory-based Computation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The Internet of Things significantly increases the amount of data generated that strains the processing capability of current computing systems. Approximate computing can accelerate the computation and dramatically reduce the energy consumption with controllable accuracy loss. ,  propose a Resistive Associative Unit, called RAU, which approximates computation alongside processing cores. RAU exploits the data locality with associative memory. It finds a row which has the closest distance to input patterns while considering the impact of each bit index on the computation accuracy. Our evaluation shows that RAU can accelerate the GPGPU computation by 1.15x and improve the energy efficiency by 36% at only 10% accuracy loss."}]