6 skills found
weaveworks / Go OdpA Go library to control the Open vSwitch in-kernel datapath
Synarcs / DNSObeliskAdvanced kernel-native security framework to disrupt and prevent DNS-based breaches including C2 channels and tunneling with zero data loss. Combines TC, Netfilter, raw socket interception, BPF maps, and ring buffers, runs entirely on eBPF in the Linux kernel. Integrates with deep learning for advanced intelligent EDR
snowzjx / LiteflowA Hybrid Framework to Build High-performance Adaptive Neural Networks for Kernel Datapath
anerisheth19 / CNN MobileNet V1 Implementation On AWS FPGA Using OpenCLIncreasing the accuracy of Convolutional Neural Networks (CNNs) has become a recent research focus in computer vision applications. Smaller CNN architectures like SqueezeNet and MobileNet can demonstrate accelerated performance on FPGAs and GPUs due to smaller model size and fewer network parameters. Implementation of CNNs on accelerators have two important benefits - GPUs provide thread-level parallelism to achieve higher throughput and FPGAs offer a customizable application-specific datapath. These two reasons make these platforms better suited for convolution like operations which involve huge data. This project aims to implement one such CNN architecture, MobileNet on an Image dataset in OpenCL, thereby comparing kernel execution time and memory bandwidth usage on FPGA and GPU
travelping / Gtp U KmodGTPv1-U Erlang interface process for Kernel Datapath
fleitner / Perf Ovs LatencyPerf script to measure OVS kernel datapath latency.
