Speaker
Mr
Sogo Mineo
(University of Tokyo)
Description
The real time data analysis at next generation experiments is a
challenge because of their enormous data rate and size. The Belle II
experiment, the upgraded Belle experiment, requires to manage a
data amount of O(100) times the current Belle data size collected at
more than 30kHz. A sophisticated data analysis is required
for the efficient data reduction in the high level trigger farm
in addition to the offline analysis. On the other hand, a telescope
survey with Hyper Suprime-Cam at Subaru Observatory for the search of
dark energy also needs to handle a large number of CCD images whose
size is comparable with that of Belle II. The feed-back of the
measurement parameters obtained by the real time data processing
has never been performed in the past where the parameter tuning
entirely relies on an empirical method.
We are now developing a new software framework named "roobasf"
to be shared both by Belle II and Hyper Suprime-Cam.
The framework has the well-established software-bus architecture and the object
persistency interface with ROOT IO. In order to achieve the required
real-time performance, the parallel processing technique is widely
used to utilize a huge number of network-connected PCs with multi-core
CPUs. The parallel processing is performed not only in the trivial
event-by-event manner, but also in the pipeline of the application
software modules which are dynamically placed on many PCs. The
object data flow over the network is implemented using the Message
Passing Interface (MPI) which also provides the system-wide control
scheme. The framework adopts Python as the user interface language.
The detailed design and the development status of the framework is
presented at the conference.
Primary authors
Prof.
Nobu KATAYAMA
(KEK)
Prof.
Ryosuke ITOH
(KEK)
Mr
Sogo Mineo
(University of Tokyo)
Mr
Soohyung Lee
(Korea University)
