9 citations · 13 across the 5 of their papers we have counts for
5 papers
Proteus: Enabling High-Performance Processing-Using-DRAM with Dynamic Bit-Precision, Adaptive Data Representation, and Flexible Arithmetic
Geraldo F. Oliveira, Mayank Kabra, Yuxin Guo +8
Processing-using-DRAM (PUD) is a paradigm where the analog operational properties of DRAM are used to perform bulk logic operations. While PUD promises high throughput at low energ…
SimplePIM: A Software Framework for Productive and Efficient Processing-in-Memory
Jinfan Chen, Juan Gómez-Luna, Izzat El Hajj +2
Data movement between memory and processors is a major bottleneck in modern computing systems. The processing-in-memory (PIM) paradigm aims to alleviate this bottleneck by performi…
TransPimLib: A Library for Efficient Transcendental Functions on Processing-in-Memory Systems
Maurus Item, Juan Gómez-Luna, Yuxin Guo +3
Processing-in-memory (PIM) promises to alleviate the data movement bottleneck in modern computing systems. However, current real-world PIM systems have the inherent disadvantage th…
An Experimental Evaluation of Machine Learning Training on a Real Processing-in-Memory System
Juan Gómez-Luna, Yuxin Guo, Sylvan Brocard +5
Training machine learning (ML) algorithms is a computationally intensive process, which is frequently memory-bound due to repeatedly accessing large training datasets. As a result,…
Machine Learning Training on a Real Processing-in-Memory System
Juan Gómez-Luna, Yuxin Guo, Sylvan Brocard +5
Training machine learning algorithms is a computationally intensive process, which is frequently memory-bound due to repeatedly accessing large training datasets. As a result, proc…