Accelerator IP
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26
Accelerator IP
from 17 vendors
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10)
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Radar processing IP suite for Advanced Driver Assistance Systems
- The eSi-ADAS™ is a suite of radar accelerator IP including a complete Radar co-processor engine, they enhance the overall performance and capabilities of radar systems for automotive, drone and UAV applications that require fast and responsive situational awareness.
- The IP has been licensed to some of the leading automotive Tier 1 and Tier 2 suppliers and is in production vehicles.
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IP cores for ultra-low power AI-enabled devices
- Ultra-fast Response Time
- Zero-latency Switching
- Low Power
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Edge AI Accelerator NNE 1.0
- Minimum efforts in system integration
- Speed up AI inference performance
- Super performance for power sensitive application
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Convolutional Neural Network (CNN) Compact Accelerator
- Support convolution layer, max pooling layer, batch normalization layer and full connect layer
- Configurable bit width of weight (16 bit, 1 bit)
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Floating-point (IEEE 754) IP based on Arria 10 and Stratix 10 FPGAs
- FFT size: Any size power-of-two or non-power-of-two
- Dynamic Range: IEEE754 single precision floating point
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Versatile DSP accelerator IP core
- Versatile DSP accelerator IP core,
- Excellent combination of small silicon footprint, computational power and low energy consumption,
- Advanced loop control mechanisms to reduce code size and increase energy efficiency by switching off idle components during loop execution,
- Use of tightly coupled data memory further contributes to low energy consumption and high processing efficiency,
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WebM VP8 Video Decoder Hardware IP
- Silicon area: 383kGates, 40kBytes of single port SRAM
- Synthesizable clock frequency: up to 290 MHz (TSMC65nm LP, topographical synthesis)
- Easy back-end: Single clock domain;low number of isolated single port SRAM and clock gating elements; no dual port memories.
- Performance configuration: choose internal memory size according to your resolution requirement - up to 2160p.
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ADPCM G.726 Codec
- Compliant with ITU G.721, G.723, G.726 and G.726-Annex recommendations.
- On-the-fly configuration for variable compression rate, PCM law.
- Process capability of up to 64 full duplex or up to 128 half duplex voice channels.
- Burst and continuous mode support.
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Fusion Recurrent Neural Network (RNN) Accelerator
- MAC utilization up to 99%
- Energy efficiency 2.06 TOPS/W
- Peak performance can scale up to 204.8 GOPS
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WCDMA Release 9 compliant Viterbi Decoder
- 3GPP TS 25.212 V 9.5.0 Release 9
- Supports all block sizes i.e., K=40 - 504.
- Constraint length of 9