Exploring the delicate balance of CPU affinity in network function abstraction, including challenges, benefits, and solutions like CPU pinning for network workloads. Learn about the impact on performance and scalability, as well as the importance of proper configuration in virtual and physical envir

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Explore the concept of Finite State Machine with Datapath (FSMD) in FPGA design, as discussed in the lecture at George Mason University. Learn about translating sequential algorithms into hardware, using registers and control paths to simulate variables, and realizing systems through RTL design. Dis

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In Chapter 4, the processor's control unit and ALU are detailed in a simple implementation scheme. The ALU performs operations based on opcode values, while the control unit provides signals for various functions such as load/store, compare, and branch. Decoding techniques and control signal generat

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Explore how eBPF technology empowers Open vSwitch (OVS) to implement datapath functionalities, reduce kernel version dependencies, and facilitate experimentation. Discover the benefits of eBPF, supported features, and project updates within OVS, enhancing flow processing efficiency and supporting a

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Examine the operation of the single-cycle datapath for a specific MIPS instruction "SW.R4,-100(R16)". This analysis covers the instruction word value, register numbers, control signals, and the logic diagram implementation. Dive into details like instruction word encoding, register file operations,

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Fall 2021 OpenAirInterface Workshop focused on developing a 5G Core Network stack, featuring sessions on 5GC basic procedures, different 5GC modes, deployment strategies, and roadmap discussions. The workshop agenda included labs on deploying the OAI Core Network, using VPP-based UPF, network slicin

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Conducted load tests on SN65HVD33 device with specific test conditions including Vcc=3.3V, termination of 120 Ohm, PRBS data at 26Mbps, CAT5 cable of 1 foot length, and load of 200 Ohm. Analyzed Vpp of A-B and Rout under different load conditions. Detailed results and analysis presented in images.

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Dive into the world of VPP with a focus on the statistics consumption model, shared memory structures, and optimistic locking techniques. Learn how to leverage these concepts for optimal network performance at FOSDEM 2022.

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Explore the concept of dynamic routing on a fast data plane featuring VPP (Vector Packet Processing) and BIRD (Internet Routing Daemon). Learn how packets traverse a graph, routing mechanisms like BGP, RIP, OSPF, and how sockets and plugins interact to forward traffic efficiently. Discover how VPP a

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Explore processor hazards like load-use and data hazards, along with strategies to avoid stalls in the pipeline. Discover how to detect and handle hazards efficiently for optimal performance in computer architecture. Learn about forwarding conditions, datapath design, and the impact of hazards on in

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The NSH_SFC 17.01 Performance Report focuses on measuring and analyzing the performance of various elements such as Service Function Forwarder, NSH Proxy, NSH Classifier, and more in the context of VPP 17.01 for different SFC ingredients. Baseline performance is established using IXIA-based PacketGe

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Opflex VPP Renderer, part of the Opflex project, provides a reference implementation of the Opflex protocol for distributed control systems in OpenStack environments. It allows renderers to be loaded as plugins for the local datapath, with VPP as the chosen dataplane. The architecture involves host

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This content provides a detailed explanation of a multicycle datapath and the execution steps involved in processing instructions. It covers key elements such as instruction fetching, decoding, memory referencing, ALU operations, branch and jump instructions, as well as memory access for read and wr

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Explore the implications of implicit parallelism in microprocessor architectures, addressing performance bottlenecks in processor, memory system, and datapath components. Prof. Vijay More delves into optimizing resource utilization, diverse architectural executions, and the impact on current compute

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