How Serious Are We About the Convergence Between HPC and
Big Data?
Moderator
Panelists
Event Type
Panel
Data management
Deep Learning
Hot Topics
TimeTuesday, November 14th10:30am -
12pm
Location201-203
DescriptionThe possible convergence between the third and fourth
paradigms confronts the scientific community with both a
daunting challenge and a unique opportunity. The
challenge resides in the requirement to support both
heterogeneous workloads with the same hardware
architecture. The opportunity lies in creating a common
software stack to accommodate the requirements of
scientific simulations and big data applications
productively while maximizing performance and
throughput.
With the hardware technology scaling and the sheer volume of scientific data to process, the scientific community faces fresh opportunities. Come, discuss and share with experts panelists how the community needs now to address the following questions moving forward:
Is the HPC / Big Data convergence a forced marriage or of mutual consent?
What are the current and future challenges / limitations to reach this convergence?
Does the HPC / Big Data convergence necessarily mean compromise and sacrifice in order to gain the expected synergisms?
With the hardware technology scaling and the sheer volume of scientific data to process, the scientific community faces fresh opportunities. Come, discuss and share with experts panelists how the community needs now to address the following questions moving forward:
Is the HPC / Big Data convergence a forced marriage or of mutual consent?
What are the current and future challenges / limitations to reach this convergence?
Does the HPC / Big Data convergence necessarily mean compromise and sacrifice in order to gain the expected synergisms?
Moderator
Panelists
