The development of computing technology in the late 18th century led to a change in computer architecture from the 1960s 2D drawing age to the present-day machine learning era, which uses algorithms, ...

With the ever-increasing demand for more computing performance, the HPC industry is moving towards a heterogeneous computing model, where GPUs and CPUs work together to perform general-purpose ...

This article is part of the Technology Insight series, made possible with funding from Intel. As data sprawls out from the network core to the intelligent edge, increasingly diverse compute resources ...

This course introduces heterogeneous computing architecture and the design and optimization of applications that best utilize the resources on such platforms. The course topics include heterogeneous ...

“Heterogeneous computers integrate general-purpose host processors with domain-specific accelerators to combine versatility with efficiency and high performance. To realize the full potential of ...

Over the past decade, much of the focus with machine learning has been on CPUs and accelerators, primarily GPUs but also custom ASICs, with advances in the chip architecture aimed at boosting parallel ...

Heterogeneous computing systems integrate diverse processing elements—including central processing units (CPUs), graphics processing units (GPUs) and field-programmable gate arrays (FPGAs)—within a ...