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.

• see the entire Digital Signal Processor (DSP) for image processing datasheet
• get in contact with Digital Signal Processor (DSP) for image processing Supplier