DocumentCode
3190930
Title
Design and implementation of a modular, low latency, fault-aware, FPGA-based network interface
Author
Ammendola, Roberto ; Biagionil, Andrea ; Frezza, Ottorino ; Cicero, Francesca Lo ; Lonardo, Alessandro ; Paolucci, Pier Stanislao ; Rossetti, Davide ; Simula, Francesco ; Tosoratto, Laura ; Vicini, Piero
fYear
2013
fDate
9-11 Dec. 2013
Firstpage
1
Lastpage
6
Abstract
We describe the hands-on experience in developing a network-centric IP core supporting the RDMA protocol which is the engine of an FPGA-based PCIe NIC targeted for GPU-accelerated HPC clusters with a 3D-toroidal network topology. We report on different development areas related to our IP: the optimizations required to evolve the NIC to the current performance level (highlights of this work include the development of a RDMA engine with a dedicated translation-lookaside-buffer and a first-of-its-kind IP module that exploits the peer-to-peer protocol of NVIDIA GPUs); the addition of a component called LO|FA|MO IP that provides systemic fault-awareness to the network; the modifications to the core IP to turn it into low-latency interface called NaNet between a read-out board and a GPU farm in the data acquisition system of the low level trigger of a particle-physics experiment. Taking into account the forecast evolution of the FPGA platform (28 nm, PCIe Gen3, etc.), we conclude with future directions we envision for our IP.
Keywords
fault tolerant computing; field programmable gate arrays; graphics processing units; optimisation; 3D-toroidal network topology; FPGA based network interface; FPGA-based PCIe NIC; GPU accelerated HPC clusters; GPU farm; IP core; NVIDIA GPU; RDMA engine; RDMA protocol; data acquisition system; network centric IP core; read out board; Bandwidth; Graphics processing units; Peer-to-peer computing; Ports (Computers); Protocols; Random access memory; Routing;
fLanguage
English
Publisher
ieee
Conference_Titel
Reconfigurable Computing and FPGAs (ReConFig), 2013 International Conference on
Conference_Location
Cancun
Print_ISBN
978-1-4799-2078-5
Type
conf
DOI
10.1109/ReConFig.2013.6732275
Filename
6732275
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