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> Damn i hoped we would one day get a customizable fpga into our CPUs. I hoped that it would make sense to install certain instructions on your fpga depending o

> Damn i hoped we would one day get a customizable fpga into our CPUs. I hoped that it would make sense to install certain instructions on your fpga depending on your workloads. I guess this either kills that possibility or pushes it into a very far future. Depends on what AMD does with Xilinx.

gsmecher 3y ago
> Depends on what AMD does with Xilinx. Currently the AMD/Xilinx dynamic seems to reverse this: "Depends on what Xilinx does with AMD". AMD's software roadmap for AI/datacentre leans heavily on Vitis (for software) and AI Engines (as an execution platform). CPUs that integrate AI engines are already shipping (Ryzen AI). It's Xilinx technology, but you should expect it to look more like a GPU accelerator than a traditional LUTs-and-routing FPGA. And, as duskwuff have pointed out, this sucks a lot of the oxygen out of the CPU-with-FPGA design space.
- mathisfun123 3y ago
  > AMD's software roadmap for AI/datacentre leans heavily on Vitis (for software) and AI Engines (as an execution platform). This is incorrect along all 3 dimensions: 1. AMD has its own data-center class GPUs - I don't know how good they are because I don't work on them 2. Vitis is just a brand and will be taken out of the equation before the end of the year. 3. I don't know what execution platform means because AI Engine is one core in a grid of such cores on the chiplets that are on the Phoenix platform (shipped with new Ryzens) and the VCK boards. > It's Xilinx technology, but you should expect it to look more like a GPU accelerator than a traditional LUTs-and-routing FPGA. It is correct that there are no LUTs in the fabric but there are "switchboxes" for data traffic (between cores) and you do have do the routing yourself (or rely on the compiler).
imtringued 3y ago
I am actually surprised how AMD managed to successfully leverage it's FPGAs for machine learning inference. It is competing with Nvidia's Jetson.

gsmecher 3y ago

> Depends on what AMD does with Xilinx. Currently the AMD/Xilinx dynamic seems to reverse this: "Depends on what Xilinx does with AMD". AMD's software roadmap for AI/datacentre leans heavily on Vitis (for software) and AI Engines (as an execution platform). CPUs that integrate AI engines are already shipping (Ryzen AI). It's Xilinx technology, but you should expect it to look more like a GPU accelerator than a traditional LUTs-and-routing FPGA. And, as duskwuff have pointed out, this sucks a lot of the oxygen out of the CPU-with-FPGA design space.

mathisfun123 3y ago
> AMD's software roadmap for AI/datacentre leans heavily on Vitis (for software) and AI Engines (as an execution platform). This is incorrect along all 3 dimensions: 1. AMD has its own data-center class GPUs - I don't know how good they are because I don't work on them 2. Vitis is just a brand and will be taken out of the equation before the end of the year. 3. I don't know what execution platform means because AI Engine is one core in a grid of such cores on the chiplets that are on the Phoenix platform (shipped with new Ryzens) and the VCK boards. > It's Xilinx technology, but you should expect it to look more like a GPU accelerator than a traditional LUTs-and-routing FPGA. It is correct that there are no LUTs in the fabric but there are "switchboxes" for data traffic (between cores) and you do have do the routing yourself (or rely on the compiler).

imtringued 3y ago

I am actually surprised how AMD managed to successfully leverage it's FPGAs for machine learning inference. It is competing with Nvidia's Jetson.