|
SPONSORS
|
||||
|
|
COLLABORATIONS
|
||||||||||
|
Copyright Notice:
The documents distributed by this server have been provided by the contributing authors as a means to ensure timely dissemination of scholarly and technical work on a noncommercial basis. Copyright and all rights therein are maintained by the authors or by other copyright holders, notwithstanding that they have offered their works here electronically. It is understood that all persons copying this information will adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.
Publications of SPCL
| T. Hoefler: | ||
| General in-network processing - time is ripe! (Presentation - presented in hybrid/virtual, Oct. 2020, ) Keynote talk at the High-performance Interconnects Forum (in conjunction with HPC China 2020) AbstractRemote memory access (RDMA) networks have been around for more than a decade. RDMA hardware enables basic put/get operations into userlant at very high speeds and reduces CPU overheads significantly. However, we observe that CPU requirements for processing data at modern speeds of 400 or 800 Gbit/s are still huge. Modern smart NICs add various processing capabilities ranging from fully-fledged ARM cores to FPGA-accelerated NICs. However, all current implementations are either relatively inefficient for line-rate packet processing or offer only limited functions such as header rewriting. We advocate for a fully flexible model that allows to execute arbitrary C code on each packet. We show that 'streaming Processing in the Network' (sPIN) enables such a model. Our implementation based on RISC-V demonstrates that generic network acceleration is feasible and delivers an efficiency improvement of up to 100x. We release our implementations as open source and expect that more vendors will adopt generic in-network computations in addition to RDMA.Documentsdownload slides: Recorded talk (best effort) | ||
BibTeX | ||
| ||