2025. 05. 20. 화요일 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 modelsRecommender systems are an essential part of many industries and businesses. Generating accurate recommendations is critical for user engagement and business revenue. Currently, deep learning recomme..

PrIM BenchmarksVertor Addition Code Reivew https://github.com/SohyeonKim-dev/prim-benchmarks GitHub - SohyeonKim-dev/prim-benchmarks: PrIM (Processing-In-Memory benchmarks) is the first benchmark suite for a real-world prPrIM (Processing-In-Memory benchmarks) is the first benchmark suite for a real-world processing-in-memory (PIM) architecture. PrIM is developed to evaluate, analyze, and charact..

2024. 05. 17. FridayBenchmarking a New Paradigm: An Experimental Analysis of a Real Processing-in-Memory Architecture Benchmarking a New Paradigm: Experimental Analysis and Characterization of a Real Processing-in-Memory SystemMany modern workloads, such as neural networks, databases, and graph processing, are fundamentally memory-bound. For such workloads, the data movement between main memory ..