Torsten Hoefler, Salvatore Di Girolamo, Konstantin Taranov, R. E. Grant, Ron Brightwell:
sPIN: High-performance streaming Processing in the Network
(In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC17), Nov. 2017) Best Paper Finalist at SC17 (5/61)
Optimizing communication performance is imperative for large-scale computing because communication overheads limit the strong
scalability of parallel applications. Today’s network cards contain
rather powerful processors optimized for data movement. However,
these devices are limited to fixed functions, such as remote direct
memory access. We develop sPIN, a portable programming model to
offload simple packet processing functions to the network card. To
demonstrate the potential of the model, we design a cycle-accurate
simulation environment by combining the network simulator LogGOPSim and the CPU simulator gem5. We implement offloaded message matching, datatype processing, and collective communications
and demonstrate transparent full-application speedups. Furthermore,
we show how sPIN can be used to accelerate redundant in-memory
filesystems and several other use cases. Our work investigates a
portable packet-processing network acceleration model similar to
compute acceleration with CUDA or OpenCL. We show how such
network acceleration enables an eco-system that can significantly
speed up applications and system services.
@inproceedings{, author={Torsten Hoefler and Salvatore Di Girolamo and Konstantin Taranov and R. E. Grant and Ron Brightwell}, title={{sPIN: High-performance streaming Processing in the Network}}, year={2017}, month={Nov.}, booktitle={Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC17)}, source={http://www.unixer.de/~htor/publications/}, }
