24 citations · 110 across the 17 of their papers we have counts for
6 papers · 1 filter
NaNet:a low-latency NIC enabling GPU-based, real-time low level trigger systems
Roberto Ammendola, Andrea Biagioni, Riccardo Fantechi +13
We implemented the NaNet FPGA-based PCI2 Gen2 GbE/APElink NIC, featuring GPUDirect RDMA capabilities and UDP protocol management offloading. NaNet is able to receive a UDP input da…
Architectural improvements and 28 nm FPGA implementation of the APEnet+ 3D Torus network for hybrid HPC systems
Roberto Ammendola, Andrea Biagioni, Ottorino Frezza +7
Modern Graphics Processing Units (GPUs) are now considered accelerators for general purpose computation. A tight interaction between the GPU and the interconnection network is the…
NaNet: a flexible and configurable low-latency NIC for real-time trigger systems based on GPUs
R. Ammendola, A. Biagioni, O. Frezza +10
NaNet is an FPGA-based PCIe X8 Gen2 NIC supporting 1/10 GbE links and the custom 34 Gbps APElink channel. The design has GPUDirect RDMA capabilities and features a network stack pr…
GPU peer-to-peer techniques applied to a cluster interconnect
Roberto Ammendola, Massimo Bernaschi, Andrea Biagioni +11
Modern GPUs support special protocols to exchange data directly across the PCI Express bus. While these protocols could be used to reduce GPU data transmission times, basically by…
A heterogeneous many-core platform for experiments on scalable custom interconnects and management of fault and critical events, applied to many-process applications: Vol. II, 2012 technical report
Roberto Ammendola, Andrea Biagioni, Ottorino Frezza +9
This is the second of a planned collection of four yearly volumes describing the deployment of a heterogeneous many-core platform for experiments on scalable custom interconnects a…
'Mutual Watch-dog Networking': Distributed Awareness of Faults and Critical Events in Petascale/Exascale systems
Roberto Ammendola, Andrea Biagioni, Ottorino Frezza +7
Many tile systems require techniques to be applied to increase components resilience and control the FIT (Failures In Time) rate. When scaling to peta- exa-scale systems the FIT ra…