LiDAR IP
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28
IP
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8
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10)
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Safety Enhanced GPNPU Processor IP
- A True SDV Solution
- Fully programmable – ideal for long product life cycles
- Scalable multicore solutions up to 864 TOPS
- Solutions for ADAS, IVI and ECU products
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GPNPU Processor IP - 32 to 864TOPs
- 32 to 864TOPs
- (Dual, Quad, Octo Core) Up to 256K MACs
- Hybrid Von Neuman + 2D SIMD matrix architecture
- 64b Instruction word, single instruction issue per clock
- 7-stage, in-order pipeline
- Scalar / vector / matrix instructions modelessly intermixed with granular predication
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GPNPU Processor IP - 16 to 108 TOPs
- 16 to 108 TOPs
- 8K / 16K / 32K MACs plus 1024 ALUs
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GPNPU Processor IP - 4 to 28 TOPs
- 4 to 28 TOPs
- 2K/ 4K/ 8K MACs plus 256 ALUs
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MASS Solution Verification IP
- Support full functionality of APHY as a physical layer
- Support Different PAL for multiple adaption layers for A-pkt conversion
- Support CSI2, DSI2, I2C, GPIO,eDP/DP, and SPI as Protocols later
- For Functional safety, CSE & DSE are supported
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Enhanced Neural Processing Unit for safety providing 98,304 MACs/cycle of performance for AI applications
- Adds hardware safety features to NPX6 NPU, minimizing area and power impact
- Supports ISO 26262 automotive safety standard
- Supports CNNs, transformers, including generative AI, recommender networks, RNNs/LSTMs, etc
- IP targets ASIL B and ASIL D compliance to ISO 26262
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Enhanced Neural Processing Unit for safety providing 8,192 MACs/cycle of performance for AI applications
- Adds hardware safety features to NPX6 NPU, minimizing area and power impact
- Supports ISO 26262 automotive safety standard
- Supports CNNs, transformers, including generative AI, recommender networks, RNNs/LSTMs, etc
- IP targets ASIL B and ASIL D compliance to ISO 26262
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Enhanced Neural Processing Unit for safety providing 65,536 MACs/cycle of performance for AI applications
- Adds hardware safety features to NPX6 NPU, minimizing area and power impact
- Supports ISO 26262 automotive safety standard
- Supports CNNs, transformers, including generative AI, recommender networks, RNNs/LSTMs, etc
- IP targets ASIL B and ASIL D compliance to ISO 26262
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Enhanced Neural Processing Unit for safety providing 4096 MACs/cycle of performance for AI applications
- Adds hardware safety features to NPX6 NPU, minimizing area and power impact
- Supports ISO 26262 automotive safety standard
- Supports CNNs, transformers, including generative AI, recommender networks, RNNs/LSTMs, etc
- IP targets ASIL B and ASIL D compliance to ISO 26262
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Enhanced Neural Processing Unit for safety providing 24,576 MACs/cycle of performance for AI applications
- Adds hardware safety features to NPX6 NPU, minimizing area and power impact
- Supports ISO 26262 automotive safety standard
- Supports CNNs, transformers, including generative AI, recommender networks, RNNs/LSTMs, etc
- IP targets ASIL B and ASIL D compliance to ISO 26262
