Architect AI accelerators (NPU/TPU) for ML inference and training. Covers systolic array architecture, dataflow analysis (weight stationary, output stationary), GEMM/convolution hardware mapping, on-chip SRAM sizing, memory bandwidth analysis, and tiling strategies. Projects design and simulate a si
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| Expiry period | Lifetime | ||
| Made in | English | ||
| Last updated at | Sun Apr 2026 | ||
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| Total lectures | 0 | ||
| Total quizzes | 0 | ||
| Total duration | Hours | ||
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| Number of reviews | 932 | ||
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| Short description | Architect AI accelerators (NPU/TPU) for ML inference and training. Covers systolic array architecture, dataflow analysis (weight stationary, output stationary), GEMM/convolution hardware mapping, on-chip SRAM sizing, memory bandwidth analysis, and tiling strategies. Projects design and simulate a si | ||
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