[PIM] PIM-Rec Design

2025. 5. 20. 13:18ใ†ComputerScience/ProcessingInMemory

 

 

 

 

2025. 05. 20. ํ™”์š”์ผ 

๐Ÿ“Œ ์–ด๋–ป๊ฒŒ ๋ฐ์ดํ„ฐ๊ฐ€ ๋‚˜๋‰˜์–ด ๋“ค์–ด๊ฐ€๋Š”์ง€ ์•Œ์•„์˜ค๊ธฐ
๊ธฐ์กด ์›ํ•ซ๋ฒกํ„ฐ์™€ ์ž„๋ฒ ๋”ฉ์˜ ์ฐจ์ด์ 
hash func
์ถ”์ฒœ์‹œ์Šคํ…œ data ํŠน์„ฑ ๋ถ„์„
stalling
๊ฐœ๊ด„์ ์ธ ์„ค๊ณ„
independent computation ๊ฐ€๋Šฅ
columns ๋ณ„ embedding table์ด rank์— ์˜ฌ๋ผ๊ฐ€๋Š” ๋ฐฉ์‹์ด ๋‹ค๋ฆ„
๋„์• -

 

 

 

 

 

Paper: 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

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 challenges i

open.library.ubc.ca

 

 

 

Git-hub: https://github.com/UBC-ECE-Sasha/PIM-Embedding-Lookup 

 

GitHub - UBC-ECE-Sasha/PIM-Embedding-Lookup

Contribute to UBC-ECE-Sasha/PIM-Embedding-Lookup development by creating an account on GitHub.

github.com

 

 

 

 

 

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