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Deep learning has achieved accuracy and fast training speed and has been successfully applied to many fields, including speech recognition, text processing, image processing and video processing. However, the cost of high power and energy comes together with the high accuracy and training speed of Deep Neural Network (DNN). This inspires researcher...
Achieving faster performance without increasing power and energy consumption for computing systems is an outstanding challenge. This paper develops a novel resource allocation scheme for memory-bound applications running on High-Performance Computing (HPC) clusters, aiming to improve application performance without breaching peak power constraints...
Understanding the characteristics of scientific computing programs has been of great importance due to its close relationship with the design and implementation of program optimization methods. Generally, scientific computing programs can be divided into three categories according to their computing, memory access and communication characteristics,...