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Lightning Talk: Using Embedded FPGAs for Custom Vector Extensions

Lightningat RISC-V Forum: Vector & Machine Learning 2021 · on Wednesday, 2021-09-15· [embedded-and-hardware]
name:Dirk Koch
links:none on file
slides:none on file

The talk describes using the open-source FABulous framework to integrate embedded FPGA (eFPGA) regions into a RISC-V core (e.g., FlexBex) to implement custom vector extensions. It explains applying eFPGA reconfigurability for ML vector processing—supporting custom data types (small integers), non-linear arithmetic, and operations on compressed data formats as custom instructions inside the CPU.

AI-written summary · about

  1. 0:00Start
  2. 0:05Using Embedded FPGAs for Custom Vector Extensions
  3. 3:24Tightly Coupled Reconfigurable Instructions
  4. 5:37Custom Interlay Examples - Crypto • AES, DES, SHA, Montgomery multiplication, TRNG
  5. 7:06Contributors
  6. 8:21Chip Implementations
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