The goal of this half-day workshop is to investigate challenges and opportunities for data processing on existing and upcoming heterogeneous hardware architectures. Increased heterogeneity is one of the major current challenges in data processing on modern hardware. With multi-core CPUs, graphics cards, massively parallel accelerator cards (e.g. Intel Xeon Phi), heterogeneous mobile processors (e.g. ARM big.LITTLE) and FPGAs, we already face a huge variety of available processing devices with different capabilities, strengths and weaknesses. This trend is expected to accelerate in the near future, and tomorrow’s database systems will need to exploit and embrace this increased heterogeneity in order to keep up with the performance requirements of the modern information society.
The workshop intends to assist the formation and the growth of a community of researchers and industry practitioners that work on data (co-)processing problems on heterogeneous hardware. To this end, we want to provide a forum to discuss challenges, advances, and directions while also providing the right environment to network with people working on related topics and fostering future collaborations. The workshop solicits regular research papers describing preliminary and ongoing research results. In addition, the workshop encourages the submission of vision papers, novel ideas, and industrial experience reports of data co-processing. Furthermore, we also invite poster submissions to present data processing systems and applications – both commercial and research-oriented – that utilize heterogeneous hardware.