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Introduction
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Classroom Contents
Stanford Seminar - Accelerating ML Recommendation with Over a Thousand RISC-V-Tensor Processors
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- 1 Introduction
- 2 The Chip
- 3 Challenges
- 4 Different approaches
- 5 Constraints
- 6 Energy Efficiency
- 7 Computing Neighborhood
- 8 Grouping
- 9 Parallelization
- 10 More Details
- 11 Memory System
- 12 Other Form Factors
- 13 Software
- 14 Vector Operations
- 15 Tensor Multiply
- 16 Example
- 17 Integer Operations
- 18 Instructions
- 19 Benchmarks
- 20 Maxion
- 21 Summary
- 22 Where are we
- 23 First silicon
