NaNet is a modular design of a family of FPGA-based PCIe Network Interface Cards specialized for low-latency real-time operations. NaNet features a Network Interface module that implements RDMA-style communications both with the host (CPU) and the GPU accelerators memories (GPUDirect P2P/RDMA) relying on the services of a high performance PCIe Gen3 x8 core. NaNet I/O Interface is highly flexible and is designed for low and predictable communication latency: a dedicated stage manages the network stack protocol in the FPGA logic offloading the host operating system from this task and thus eliminating the associated process jitter effects. Between the two aforementioned modules, stand the data processing and switch modules: the first implement...
State-of-the-art technology supports the High Energy Physics community in addressing the problem of ...
NaNet-10 is a four-ports 10GbE PCIe Network Interface Card designed for low-latency real-time operat...
The use of GPUs to implement general purpose computational tasks, known as GPGPU since fifteen years...
NaNet is a modular design of a family of FPGA-based PCIe Network Interface Cards specialized for low...
NaNet is a FPGA-based PCIe Network Interface Card (NIC) design with GPUDirect and Remote Direct Memo...
NaNet is a FPGA-based PCIe Network Interface Card (NIC) design with GPUDirect and Remote Direct Mem...
The capability of processing high bandwidth data streams in real-time is a computational requirement...
While the GPGPU paradigm is widely recognized as an effective approach to high performance computing...
NaNet is an FPGA-based PCIe X8 Gen2 NIC supporting 1/10 GbE links and the custom 34~Gbps APElink cha...
NaNet is an FPGA-based PCIe X8 Gen2 NIC supporting 1/10 GbE links and the custom 34 Gbps APElink cha...
We implemented the NaNet FPGA-based PCI2 Gen2 GbE/APElink NIC, featuring GPUDirect RDMA capabilities...
NaNet is a framework for the development of FPGA-based PCI Express (PCIe) Network Interface Cards (N...
The NA62 experiment at CERN SPS is aimed at measuring the branching ratio of the the very rare kaon ...
State-of-the-art technology supports the High Energy Physics community in addressing the problem of ...
GPUDirect RDMA capabilities and UDP protocol management offloading. NaNet is able to receive a UDP i...
State-of-the-art technology supports the High Energy Physics community in addressing the problem of ...
NaNet-10 is a four-ports 10GbE PCIe Network Interface Card designed for low-latency real-time operat...
The use of GPUs to implement general purpose computational tasks, known as GPGPU since fifteen years...
NaNet is a modular design of a family of FPGA-based PCIe Network Interface Cards specialized for low...
NaNet is a FPGA-based PCIe Network Interface Card (NIC) design with GPUDirect and Remote Direct Memo...
NaNet is a FPGA-based PCIe Network Interface Card (NIC) design with GPUDirect and Remote Direct Mem...
The capability of processing high bandwidth data streams in real-time is a computational requirement...
While the GPGPU paradigm is widely recognized as an effective approach to high performance computing...
NaNet is an FPGA-based PCIe X8 Gen2 NIC supporting 1/10 GbE links and the custom 34~Gbps APElink cha...
NaNet is an FPGA-based PCIe X8 Gen2 NIC supporting 1/10 GbE links and the custom 34 Gbps APElink cha...
We implemented the NaNet FPGA-based PCI2 Gen2 GbE/APElink NIC, featuring GPUDirect RDMA capabilities...
NaNet is a framework for the development of FPGA-based PCI Express (PCIe) Network Interface Cards (N...
The NA62 experiment at CERN SPS is aimed at measuring the branching ratio of the the very rare kaon ...
State-of-the-art technology supports the High Energy Physics community in addressing the problem of ...
GPUDirect RDMA capabilities and UDP protocol management offloading. NaNet is able to receive a UDP i...
State-of-the-art technology supports the High Energy Physics community in addressing the problem of ...
NaNet-10 is a four-ports 10GbE PCIe Network Interface Card designed for low-latency real-time operat...
The use of GPUs to implement general purpose computational tasks, known as GPGPU since fifteen years...