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Digital Signal Processor (DSP) for image processing
The VLVm1 is the first of GPT’s optimized Variable Length Vector (VLV) DSP IP cores targeted at image processing. VLVs allow forward and backward code compatibility by architecturally specifying a vector length. Unlike SIMD which has a fixed width, VLV specifies an arbitrary and dynamic length for vectors. An implementation can be customized for performance/power/price based on the number of vector elements to be executed simultaneously. Code does not need to be recompiled when the vector length changes. Non-power-of-two vectors can be easily specified.
Combining GPT’s superscalar out-of-order ‘Great Wall’ CPU with a VLV execution unit, the VLVm1 processors run at up to 3GHz.
Combining GPT’s superscalar out-of-order ‘Great Wall’ CPU with a VLV execution unit, the VLVm1 processors run at up to 3GHz.
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DSP IP
- DSP-enhanced ARC EMxD and HS4xD processors provide combined RISC + DSP processing for computation intensive applications
- Modern, high performance Audio DSP, optimized for far-field noise reduction and Artificial Intelligence speech recognition
- High Performance Scalable Sensor Hub DSP Architecture
- High performance, energy efficient 3-issue, quad-mac superscalar DSP core for HD Audio applications based on fourth generation ZSP architecture
- Multifunctional DSP Architecture for High-Performance, Low-Power Audio/Voice/Sensing and Wireless Communication Applications
- Modern Audio DSP, designed for battery operated, high-performance, audio and voice applications