As both CPUs and GPUs become employed in a wide range of applications, it has been
acknowledged that both of these Processing Units (PUs) have their unique features and …

Heterogeneous multi-core platforms are increasingly prevalent due to their perceived
superior performance over homogeneous systems. The best performance, however, can …

Heterogeneous systems consisting of multiple CPUs and GPUs are increasingly attractive
as platforms for high performance computing. Such platforms are usually programmed using …

This paper proposed a method of integrating the AES encrypter and the AES decrypter into a
full functional AES crypto-engine. This method can make it a very low-complexity …

Many processors today integrate a CPU and GPU on the same die, which allows them to
share resources like physical memory and lowers the cost of CPU-GPU communication. As …

In recent years, GPU-CPU heterogeneous architectures have been increasingly adopted in
high performance computing, because of their capabilities of providing high computational …

Driven by the emergence of GPUs as a major player in high performance computing and the
rapidly growing popularity of cloud environments, GPU instances are now being offered by …

Programming heterogeneous computing systems with Graphics Processing Units (GPU) and
multi-core CPUs in them is complex and time-consuming. OpenCL has emerged as an …

The work presented here is driven by two observations. First, heterogeneous architectures
that integrate a CPU and a GPU on the same chip are emerging, and hold much promise for …

MapReduce is a programming model that enables efficient massive data processing in large-
scale computing environments such as supercomputers and clouds. Such large-scale …