A challenge that heterogeneous system programmers face is leveraging the performance of
all the devices that integrate the system. This paper presents Sigmoid, a new load balancing …

Markov decision processes provide a formal framework for a computer to make decisions
autonomously and intelligently when the effects of its actions are not deterministic. This …

The integrated architecture that features both CPU and GPU on the same die is an emerging
and promising architecture for fine-grained CPU-GPU collaboration. However, the …

This paper presents a framework targeted to low-cost and low-power heterogeneous
MultiProcessors that exploits FPGAs and multicore CPUs, with the overarching goal of …

Heterogeneous systems consisting of multiple multi-core CPUs and many-core accelerators
have recently come into wide use, and more and more parallel applications are developed …

The efficiency of the simulations with the discrete element method (DEM) is significantly
improved using a novel computational strategy. The new method is developed with a focus …

We propose, implement and evaluate a work stealing based scheduler, called HWS, for
graph processing on heterogeneous CPU-FPGA systems that tightly couple the CPU and …

The trend for heterogeneous embedded systems is the integration of accelerators and
general-purpose CPU cores on the same die. In these integrated architectures, like the Zynq …

In this work, we study the problem of efficiently executing a state-of-the-art time series
algorithm class–SCAMP–on a heterogeneous platform comprised of CPU+ High …

Heterogeneous computing that exploits simultaneous co-processing with different device
types has been shown to be effective at both increasing performance and reducing energy …