79 citations · 383 across the 28 of their papers we have counts for
6 papers · 1 filter
Priority-Aware Near-Optimal Scheduling for Heterogeneous Multi-Core Systems with Specialized Accelerators
Zhuo Chen, Diana Marculescu
To deliver high performance in power limited systems, architects have turned to using heterogeneous systems, either CPU+GPU or mixed CPU-hardware systems. However, in systems with…
Task Scheduling for Heterogeneous Multicore Systems
Zhuo Chen, Diana Marculescu
In recent years, as the demand for low energy and high performance computing has steadily increased, heterogeneous computing has emerged as an important and promising solution. Bec…
HyperPower: Power- and Memory-Constrained Hyper-Parameter Optimization for Neural Networks
Dimitrios Stamoulis, Ermao Cai, Da-Cheng Juan +1
While selecting the hyper-parameters of Neural Networks (NNs) has been so far treated as an art, the emergence of more complex, deeper architectures poses increasingly more challen…
On-Chip Communication Network for Efficient Training of Deep Convolutional Networks on Heterogeneous Manycore Systems
Wonje Choi, Karthi Duraisamy, Ryan Gary Kim +4
Convolutional Neural Networks (CNNs) have shown a great deal of success in diverse application domains including computer vision, speech recognition, and natural language processin…
Machine Learning and Manycore Systems Design: A Serendipitous Symbiosis
Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande +2
Tight collaboration between experts of machine learning and manycore system design is necessary to create a data-driven manycore design framework that integrates both learning and…
NeuralPower: Predict and Deploy Energy-Efficient Convolutional Neural Networks
Ermao Cai, Da-Cheng Juan, Dimitrios Stamoulis +1
"How much energy is consumed for an inference made by a convolutional neural network (CNN)?" With the increased popularity of CNNs deployed on the wide-spectrum of platforms (from…