Accelerating Neural Network Training with Processing-in-Memory GPU
Processing-in-memory (PIM) architecture is promising for accelerating deep neural network
(DNN) training due to its low-latency and energy-efficient data movement between …
(DNN) training due to its low-latency and energy-efficient data movement between …
[PDF][PDF] Accelerating Neural Network Training with Processing-in-Memory GPU
X Fei, J Han, J Huang, W Zheng, Y Zhang - researchgate.net
Processing-in-memory (PIM) architecture is promising for accelerating deep neural network
(DNN) training due to its low-latency and energy-efficient data movement between …
(DNN) training due to its low-latency and energy-efficient data movement between …
Accelerating Neural Network Training with Processing-in-Memory GPU
X Fei, J Han, J Huang, W Zheng… - 2022 22nd International …, 2022 - computer.org
Abstract Processing-in-memory (PIM) architecture is promising for accelerating deep neural
network (DNN) training due to its low-latency and energy-efficient data movement between …
network (DNN) training due to its low-latency and energy-efficient data movement between …