Modern warehouse-scale computers (WSCs) are being outfitted with accelerators to provide
the significant compute required by emerging intelligent personal assistant (IPA) workloads …

Emerging mobile services heavily utilize Neural Networks (NNs) to improve user
experiences. Such NN-assisted services depend on fast NN execution for high …

Architecture designers tend to integrate both CPUs and GPUs on the same chip to deliver
energy-efficient designs. It is still an open problem to effectively leverage the advantages of …

Heterogeneous hardware other than a small-core central processing unit (CPU) is
increasingly being used, such as a graphics processing unit (GPU), field-programmable …

With the slowing down of Moore's law, the use of hardware other than CPUs, such as
graphics processing units (GPUs) or field-Programmable gate arrays (FPGAs), is increasing …

Most GPU-based graph systems cannot handle large-scale graphs that do not fit in the GPU
memory. The ever-increasing graph size demands a scale-up graph system, which can run …

Linear regression is one of the most important and widely used techniques for data analysis.
However, sometimes people are not satisfied with it because of the following two limitations …

Heterogeneous multi-core architectures consisting of CPUs and GPUs are commonplace in
today's embedded systems. These architectures offer potential for energy efficient computing …

Heterogeneous systems are the core architecture of most of the high-performance
computing nodes, due to their excellent performance and energy efficiency. However, a key …

Heterogeneous architectures have experienced a great development thanks to their
excellent cost/performance ratio and low power consumption. But heterogeneity significantly …