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Optimizing Data Compression for Efficient Energy Consumption

Explore different compression ratios for uniform and nearest neighbor bit complement methods to enhance energy efficiency in data transmission. Analyze 2:1, 4:1, and 8:1 ratios across various cycle latencies. Evaluate normalized energy consumption for various CR values.

matthew-russo
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Optimizing Data Compression for Efficient Energy Consumption

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  1. Uniform Nearest Neighbor (a) CR=0.2 (b) CR=0.4 (a) CR=0.2 (b) CR=0.4 (c) CR=0.6 (d) CR=0.8 (c) CR=0.6 (d) CR=0.8 Bit Complement Tornado 8:1 16:1 32:1 (a) CR=0.2 (b) CR=0.4 (a) CR=0.2 (b) CR=0.4 2:1 4:1 1:1 (c) CR=0.6 (d) CR=0.8 (c) CR=0.6 (d) CR=0.8

  2. Nearest Neighbor Bit Complement Pkt. Lat. (cycles) Pkt. Lat. (cycles) (a) CR=0.2 (b) CR=0.4 (c) CR=0.6 (d) CR=0.8 1:1 2:1 4:1 8:1 16:1 32:1 (c) CR=0.6 (d) CR=0.8 (a) CR=0.2 (b) CR=0.4

  3. Uniform Nearest Neighbor Bit Complement Tornado 2:1 4:1 1:1 8:1 16:1 32:1

  4. Uniform Nearest Neighbor Bit Complement Tornado

  5. sap sjas sjbb tpc

  6. Bit Complement Tornado Uniform Nearest Neighbor Normalized Energy 0.1pJ 0.5pJ 1.0pJ 1.5pJ 2.0pJ

  7. sap sjas sjbb tpc Normalized Energy 0.1pJ 0.5pJ 1.0pJ 1.5pJ 2.0pJ

  8. sap sjas sjbb tpc Normalized Energy 0.1pJ 0.5pJ 1.0pJ 1.5pJ 2.0pJ

  9. Nearest Neighbor Bit Complement Normalized Area Efficiency

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