English
You are here:
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.
View Digital Signal Processor (DSP) for image processing full description to...
- see the entire Digital Signal Processor (DSP) for image processing datasheet
- get in contact with Digital Signal Processor (DSP) for image processing Supplier
DSP IP
- DSP-enhanced ARC EMxD and HS4xD processors provide combined RISC + DSP processing for computation intensive applications
- High performance dual-issue, out-of-order, 7-stage Vector processor (DSP) IP
- Modern, high performance Audio DSP, optimized for far-field noise reduction and Artificial Intelligence speech recognition
- High Performance Scalable Sensor Hub DSP Architecture
- Multifunctional DSP Architecture for High-Performance, Low-Power Audio/Voice/Sensing and Wireless Communication Applications
- World's most advanced communication DSP, providing cutting-edge performance for multi-Gigabit class connectivity