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| Title | Updated date | Comment count |
|---|---|---|
| FPGA-Powered Acceleration for NLP Tasks | 4 months ago | 15 |
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#26
the global community for arm-based projects
| Title | Updated date | Comment count |
|---|---|---|
| FPGA-Powered Acceleration for NLP Tasks | 4 months ago | 15 |
| Subject | Comment | Link to Comment |
|---|---|---|
| Tiny-Trans |
Team Members: Abhishek Yadav (yadav.49@iitj.ac.in) Ayush Dixit (m23eev006@iitj.ac.in) Binod Kumar (binod@iitj.ac.in) |
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| Tiny-Trans |
Team Members: Abhishek Yadav (yadav.49@iitj.ac.in) Ayush Dixit (m23eev006@iitj.ac.in) Binod Kumar (binod@iitj.ac.in) |
view |
| Related to project |
Prototype with Zynq: We'll start by prototyping the IP on the Zynq MPSOC FPGA with integrating HLS generated IP with the Zynq and other IP . As of now the model size is quite large in MB's so we are trying to reduce the model size using some techniques and want to know what should be the ideal model size. We should be good to go as there would be some trade offs in accuracy ? |
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| FPGA Prototyping |
Prototype with Zynq: We'll start by prototyping the IP on the Zynq MPSOC FPGA with integrating HLS generated IP with the Zynq and other IP . As of now the model size is quite large in MB's so we are trying to reduce the model size using some techniques and want to know what should be the ideal model size. We should be good to go as there would be some trade offs in accuracy ? |
view |
| Query regarding interfacing ARM soc with accelerator |
I have been working with PYNQ Xilinx and with Zynq-7000 IP to implement an accelerator using memory-mapped AXI interfaces between the PS and PL parts of the SoC. |
view |
Comments
Publishing your updates to the project
Hi,
Once you are happy with the changes you have made to your project don't forget to change the save from Drafts to Editorial so it is sumbitted to being published on the site. You have chages current in Draft.
Memory size
You asked the question on the model size in MB's and the ideal size to target versus the trade off in accuracy.
On chip SRAM is a limiting factor in SoC design due to the high cost of the area for SRAM. While the hierarchical memory system for classical compute has been optimised, from the off chip DRAM all the way through the cache levels, it is has not for custom acceleration. One approach we are using to reduce fabrication costs is the use chiplet based SRAM die which can be added to a SoC from a stock of pre-fabricated die as opposed to adding to the die cost of a custom accelerator.
Classical compute has caches in low MB.
Welcome
Hello,
It would be good to understand what is of interest for you in SoC Labs. We look forward to hearing from you. You can simply reply to this comment to let us know.
John.
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