
Software release for the paper "Toward GPU-centric Networking on Commodity Hardware" presented at EdgeSys 24. This repository contains references to other repositories part of the project. The artifacts distributed in this repository implements the ideas, and the prototype, used in the paper, posting (and receiving) RDMA operations directly from a CUDA GPU, without using vendor specific networking stack (e.g. NCCL), but rather re-implementing the core functionalities in pure CUDA code. The main code that makes these operations possible can be found in the rdma-shim repository [ZENODO][GITHUB], while the apps repository [ZENODO][GITHUB] provides some prototype applications used in the evaluation of the paper [DOI].
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
