Convolutional Neural Networks (CNN) are becoming a common presence in many
applications and services, due to their superior recognition accuracy. They are increasingly …

Auto-tuning is a popular approach to program optimization: it automatically finds good
configurations of a program's so-called tuning parameters whose values are crucial for …

With the advent of 5G, supporting high-quality game streaming applications on edge devices
has become a reality. This is evidenced by a recent surge in cloud gaming applications on …

Graphics Processing Units (GPUs) are widely used to run general-purpose computing
workloads. Three approaches currently exist to observe the dynamic behaviour of these …

针对超宽带及多波束接收系统海量天文信号实时高效传输与处理问题, 对基于现场可编程门阵列
(Field Programmable Gate Array, FPGA)+ 图形处理器(Graphics Processing Unit, GPU) …

GPUs critically rely on a complex system software stack comprising kernel-and user-space
drivers and JIT compilers. Yet, existing GPU simulators typically abstract away details of the …

Aiming at problems of massive signals real-time transmission and processing in ultra-
wideband and multi-beam receiving systems, we tested and analyzed the related software of …

Graphics Processing Units (GPUs) have seen a lot of attention over the past decade, and in
particular have grown to support workloads that are not strictly graphical in nature. Their …

The prevalence of machine learning in recent times has had a dramatic impact on the way
we design and use mobile and IoT systems. With growing concerns for privacy and qualityof …