TY - JOUR
T1 - RapidIO as a multi-purpose interconnect
AU - Baymani, Simaolhoda
AU - Alexopoulos, Konstantinos
AU - Valat, Sébastien
N1 - Funding Information:
The authors would like to thank the collaborators and engineers from Integrated Device Technology and our colleagues from the European Organization for Nuclear Research, for their support and collaboration. The authors would also like to thank IDT for funding this technical collaboration with CERN openlab.
PY - 2017/11/23
Y1 - 2017/11/23
N2 - RapidIO (http://rapidio.org/) technology is a packet-switched high-performance fabric, which has been under active development since 1997. Originally meant to be a front side bus, it developed into a system level interconnect which is today used in all 4G/LTE base stations world wide. RapidIO is often used in embedded systems that require high reliability, low latency and scalability in a heterogeneous environment - features that are highly interesting for several use cases, such as data analytics and data acquisition (DAQ) networks. We will present the results of evaluating RapidIO in a data analytics environment, from setup to benchmark. Specifically, we will share the experience of running ROOT and Hadoop on top of RapidIO. To demonstrate the multi-purpose characteristics of RapidIO, we will also present the results of investigating RapidIO as a technology for high-speed DAQ networks using a generic multi-protocol event-building emulation tool. In addition we will present lessons learned from implementing native ports of CERN applications to RapidIO.
AB - RapidIO (http://rapidio.org/) technology is a packet-switched high-performance fabric, which has been under active development since 1997. Originally meant to be a front side bus, it developed into a system level interconnect which is today used in all 4G/LTE base stations world wide. RapidIO is often used in embedded systems that require high reliability, low latency and scalability in a heterogeneous environment - features that are highly interesting for several use cases, such as data analytics and data acquisition (DAQ) networks. We will present the results of evaluating RapidIO in a data analytics environment, from setup to benchmark. Specifically, we will share the experience of running ROOT and Hadoop on top of RapidIO. To demonstrate the multi-purpose characteristics of RapidIO, we will also present the results of investigating RapidIO as a technology for high-speed DAQ networks using a generic multi-protocol event-building emulation tool. In addition we will present lessons learned from implementing native ports of CERN applications to RapidIO.
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U2 - 10.1088/1742-6596/898/8/082007
DO - 10.1088/1742-6596/898/8/082007
M3 - Conference article
AN - SCOPUS:85038427089
VL - 898
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
SN - 1742-6588
IS - 8
M1 - 082007
T2 - 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016
Y2 - 10 October 2016 through 14 October 2016
ER -