2. Consider a fully-connected network with 1280 inputs, two hidden layers with 512 units each, and 32 output classes. Assume that all weights and activations are stored as 32-bit values. A. How much parameter storage is required for this model? B. Running this model on an 80MHZ processor that can compute 1 MAC every 4 cycles, how long will one inference take (answer in ms). C. How much temporary storage (SRAM) is required to run this model?

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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2. Consider a fully-connected network with 1280 inputs, two hidden layers with 512 units each, and 32
output classes. Assume that all weights and activations are stored as 32-bit values.
A. How much parameter storage is required for this model?
B. Running this model on an 80MHZ processor that can compute 1 MAC every 4 cycles, how long
will one inference take (answer in ms).
C. How much temporary storage (SRAM) is required to run this model?
Transcribed Image Text:2. Consider a fully-connected network with 1280 inputs, two hidden layers with 512 units each, and 32 output classes. Assume that all weights and activations are stored as 32-bit values. A. How much parameter storage is required for this model? B. Running this model on an 80MHZ processor that can compute 1 MAC every 4 cycles, how long will one inference take (answer in ms). C. How much temporary storage (SRAM) is required to run this model?
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