[PIM] Embedding Look-Up Build

2025. 5. 13. 17:47ใ†ComputerScience/ProcessingInMemory

 

 

 

 

 

2025. 05. 13.

PIM ยท TFLite ๋žฉ๋ฏธํŒ… ๐Ÿ‘ฉโ€๐Ÿ’ป

ํŒจํ‚ค์ง€ config๋ฅผ ์ง€์›Œ์•ผํ•œ๋‹ค (Makefile์— ๋ฐ”๋กœ ์ ๊ธฐ)
microkernel warning์€ ์ƒ๊ด€ X
futex option ์ฒดํฌํ•˜๊ธฐ
CMakeList ์ˆ˜์ •

 

 

๐Ÿ“Œ ๋‹ค์Œ ์‹œ๊ฐ„๊นŒ์ง€ ์–ด๋–ป๊ฒŒ ๋‚˜๋‰˜์–ด์„œ ์˜ฌ๋ผ๊ฐ€๋Š”์ง€ ์•Œ๊ณ ๋ฆฌ์ฆ˜ ๊ตฌํ˜„ ์กฐ์‚ฌํ•˜๊ธฐ

https://open.library.ubc.ca/soa/cIRcle/collections/ubctheses/24/items/1.0435518

 

Offloading embedding lookups to processing-in-memory for deep learning recommender models

Abstract Recommender systems are an essential part of many industries and businesses. Generating accurate recommendations is critical for user engagement and business revenue. Currently, deep learning recommender models are commonly used, but they face cha

open.library.ubc.ca

 

 

 

๐Ÿ“Œ PIM Makefile ์ˆ˜์ •

์ด๋ ‡๊ฒŒ ์—ฌ๊ธฐ์„œ ์˜ต์…˜์„ ์ถ”๊ฐ€ํ•ด์ฃผ์…จ๋‹ค.

 

 

 

 

 

'ComputerScience > ProcessingInMemory' ์นดํ…Œ๊ณ ๋ฆฌ์˜ ๋‹ค๋ฅธ ๊ธ€

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