Boosting Deep Neural Network Efficiency with Dual-Module Inference
Jul 12, 2020
Speakers
Zhaodong Chen
Speaker · 0 followers
Shuangchen Li
Speaker · 0 followers
Jingwei Zhang
Speaker · 0 followers
Yihua Yang
Speaker · 0 followers
Yufei Ding
Speaker · 0 followers
About
Using Deep Neural Networks (DNNs) in machine learning tasks is promising in delivering high-quality results but challenging to meet stringent latency requirements and energy constraints because of the memory-bound and the compute-bound execution pattern of DNNs. We propose a big-little dual-module inference to dynamically skip unnecessary memory access and computation to speedup DNN inference. Leveraging the error-resilient feature of nonlinear activation functions used in DNNs, we propose to use a lightweight little module that approximates the original DNN layer, which is referred to as the big module, to compute activations of the insensitive region that are more error-resilient. The expensive memory access and computation of the big module can be reduced as the results are only used in the sensitive region. For memory-bound models, our method can reduce the overall memory access by 40Using Deep Neural Networks (DNNs) in machine learning tasks is promising in delivering high-quality results but challenging to meet stringent latency requirements and energy constraints because of the memory-bound and the compute-bound execution pattern of DNNs. We propose a big-little dual-module inference to dynamically skip unnecessary memory access and computation to speedup DNN inference. Leveraging the error-resilient feature of nonlinear activation functions used in DNNs, we propose to us…
Categories
AI & Data Science
Category · 10.8k presentations
About ICML 2020
The International Conference on Machine Learning (ICML) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence known as machine learning. ICML is globally renowned for presenting and publishing cutting-edge research on all aspects of machine learning used in closely related areas like artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, and robotics. ICML is one of the fastest growing artificial intelligence conferences in the world. Participants at ICML span a wide range of backgrounds, from academic and industrial researchers, to entrepreneurs and engineers, to graduate students and postdocs.
Like the format? Trust SlidesLive to capture your next event!
Professional recording and live streaming, delivered globally.
Sharing
Recommended Videos
Presentations on similar topic, category or speaker
Multigrid Neural Memory
Watch later
Tri Huynh, …
Adaptive Region-Based Active Learning
Watch later
Spotlight Talk 2.20 (1min)
Watch later
Interpretable, Robust, and Verifiable Reinforcement Learning
Watch later
Inductive Relation Prediction by Subgraph Reasoning
Watch later
Invited Talk 6 - Q&A
Watch later
Sungjin Ahn, …