Why your DL accelerator should be replaced
October 31, 2019
Intelligence is quickly being added to all our electronics devices. Whether it’s our vehicles that automatically brake when things get dangerous, our phone’s cameras that ensure every picture we take looks great, or our datacenters that need to not just store and distribute our videos, but also understand what’s in them – intelligent image processing using deep learning is everywhere.
But just adding a deep learning accelerator next to a chip’s host CPU subsystem doesn’t mean you have a chip that can handle all the required visual computing tasks. While we’ve seen some designs that didn’t realize this, many SOCs these days do have multiple compute engines for the different imaging-related processing duties.
Related Blogs
- Why Ethernet should be the connectivity backbone of every car
- Why You Should Create Your Own NPU Benchmarks
- Mentor Graphics Should Be Acquired or Sold: Carl Icahn
- Mentor Graphics Should Be Acquired or Sold: Carl Icahn COUNTERPOINT
Latest Blogs
- Why Choose Hard IP for Embedded FPGA in Aerospace and Defense Applications
- Migrating the CPU IP Development from MIPS to RISC-V Instruction Set Architecture
- Quintauris: Accelerating RISC-V Innovation for next-gen Hardware
- Say Goodbye to Limits and Hello to Freedom of Scalability in the MIPS P8700
- Why is Hard IP a Better Solution for Embedded FPGA (eFPGA) Technology?