Host Data Plane Acceleration: SmartNIC Deployment ModelsNetronome
SIGCOMM 2018: This tutorial introduces multiple models for host data plane acceleration with SmartNICs, provides a detailed understanding of SmartNIC deployment models at hyperscale cloud vendors and telecom service providers, and introduces various open source resources available for research and product development in this space.
Presenter Bio
Simon focuses on upstream open source activities at Netronome. He is working on allowing offload of OVS offload on the Agilio platform as well as the broader question of how best to enable programming hardware offload in the Linux kernel and other upstream open source projects.
Netronome's half-day tutorial on host data plane acceleration at ACM SIGCOMM 2018 introduced attendees to models for host data plane acceleration and provided an in-depth understanding of SmartNIC deployment models at hyperscale cloud vendors and telecom service providers.
Presenter Bio
Jaco Joubert is a Software Engineer at Netronome focusing on P4 and its applications on the Netronome SmartNIC. He recently started investigating network acceleration for Deep Learning on distributed systems. Prior to Netronome he worked on mobile application development and was a researcher at Telkom SA focusing on the mobile core after completing his Masters Degree in Computer, Electronic Engineering in 2014.
In Network Computing Prototype Using P4 at KSC/KREONET 2019Kentaro Ebisawa
Case Study of P4 applying to CAN (Control Area Network) data pre-processing using FPGA + Netcope P4 compiler.
Presented at KSC / KREONET WORKSHOP 2019 | DAY 1 Session 1: SDN/NFV/P4
http://www.ksc2019.re.kr/
Introduction to Programmable Networks by Clarence Anslem, IntelMyNOG
Network devices like switches or routers are most commonly designed a bottom-up. The switch vendors that offer products to their clients usually rely on external chips from 3rd party silicon vendors. The chip is the heart of the system and in practice determines how device OS is realized and what functionality it can offer. Since the chip is a fixed-function unit and its internal packet processing pipeline cannot be easily reconfigured at runtime, adding a new feature set is a complex process that may take months. This is because a chip redesign is usually required. P4 & Programmable ASIC’S aims to break these barriers and enable innovation on networking devices similar to CPU’s, GPU’s, DSP’s in the computing ecosystem.
Massively Parallel RISC-V Processing with Transactional MemoryNetronome
In this talk, we discuss some of the background, and describe the example of a thousand RISC-V harts performing the processing required in a SmartNIC. We show how a RISC-V solution can be tailored with a suitable choice of instruction set features, privilege modes and debug methodology.
Host Data Plane Acceleration: SmartNIC Deployment ModelsNetronome
SIGCOMM 2018: This tutorial introduces multiple models for host data plane acceleration with SmartNICs, provides a detailed understanding of SmartNIC deployment models at hyperscale cloud vendors and telecom service providers, and introduces various open source resources available for research and product development in this space.
Presenter Bio
Simon focuses on upstream open source activities at Netronome. He is working on allowing offload of OVS offload on the Agilio platform as well as the broader question of how best to enable programming hardware offload in the Linux kernel and other upstream open source projects.
Netronome's half-day tutorial on host data plane acceleration at ACM SIGCOMM 2018 introduced attendees to models for host data plane acceleration and provided an in-depth understanding of SmartNIC deployment models at hyperscale cloud vendors and telecom service providers.
Presenter Bio
Jaco Joubert is a Software Engineer at Netronome focusing on P4 and its applications on the Netronome SmartNIC. He recently started investigating network acceleration for Deep Learning on distributed systems. Prior to Netronome he worked on mobile application development and was a researcher at Telkom SA focusing on the mobile core after completing his Masters Degree in Computer, Electronic Engineering in 2014.
In Network Computing Prototype Using P4 at KSC/KREONET 2019Kentaro Ebisawa
Case Study of P4 applying to CAN (Control Area Network) data pre-processing using FPGA + Netcope P4 compiler.
Presented at KSC / KREONET WORKSHOP 2019 | DAY 1 Session 1: SDN/NFV/P4
http://www.ksc2019.re.kr/
Introduction to Programmable Networks by Clarence Anslem, IntelMyNOG
Network devices like switches or routers are most commonly designed a bottom-up. The switch vendors that offer products to their clients usually rely on external chips from 3rd party silicon vendors. The chip is the heart of the system and in practice determines how device OS is realized and what functionality it can offer. Since the chip is a fixed-function unit and its internal packet processing pipeline cannot be easily reconfigured at runtime, adding a new feature set is a complex process that may take months. This is because a chip redesign is usually required. P4 & Programmable ASIC’S aims to break these barriers and enable innovation on networking devices similar to CPU’s, GPU’s, DSP’s in the computing ecosystem.
Massively Parallel RISC-V Processing with Transactional MemoryNetronome
In this talk, we discuss some of the background, and describe the example of a thousand RISC-V harts performing the processing required in a SmartNIC. We show how a RISC-V solution can be tailored with a suitable choice of instruction set features, privilege modes and debug methodology.
Container Attached Storage (CAS) with OpenEBS - SDC 2018OpenEBS
Applying micro service patterns to storage giving each workload its own Container Attached Storage (CAS) system. This puts the DevOps persona within full control of the storage requirements and brings data agility to k8s persistent workloads. We will go over the concept and the implementation of CAS, as well as its orchestration.
Using LLVM to accelerate processing of data in Apache ArrowDataWorks Summit
Most query engines follow an interpreter-based approach where a SQL query is translated into a tree of relational algebra operations then fed through a conventional tuple-based iterator model to execute the query. We will explore the overhead associated with this approach and how the performance of query execution on columnar data can be improved using run-time code generation via LLVM.
Generally speaking, the best case for optimal query execution performance is a hand-written query plan that does exactly what is needed by the query for the exact same data types and format. Vectorized query processing models amortize the cost of function calls. However, research has shown that hand-written code for a given query plan has the potential to outperform the optimizations associated with a vectorized query processing model.
Over the last decade, the LLVM compiler framework has seen significant development. Furthermore, the database community has realized the potential of LLVM to boost query performance by implementing JIT query compilation frameworks. With LLVM, a SQL query is translated into a portable intermediary representation (IR) which is subsequently converted into machine code for the desired target architecture.
Dremio is built on top of Apache Arrow’s in-memory columnar vector format. The in-memory vectors map directly to the vector type in LLVM and that makes our job easier when writing the query processing algorithms in LLVM. We will talk about how Dremio implemented query processing logic in LLVM for some operators like FILTER and PROJECT. We will also discuss the performance benefits of LLVM-based vectorized query execution over other methods.
Speaker
Siddharth Teotia, Dremio, Software Engineer
In the latest ONF and SDxCentral webianr, two of the researchers from the iSDX project, Nick Feamster, professor of computer science at Princeton University, and Arpit Gupta, leading researcher on iSDX at Princeton University. ONF's Technical Program Manager Rick Bauer will also present protion of the webinar, which will look at:
- why the industry needs iSDX
- how iSDX compares to other initiatives in the SDN ecosystem today
- a short demo of iSDX
- iSDX in practice – a customer viewpoint
http://bit.ly/1TAhUlA
Using Kubernetes to make cellular data plans cheaper for 50M usersMirantis
Use case of Kubernetes based NFV infrastructure used in production to run an open source evolved packet core. Presented by Facebook Connectivity and Mirantis at KubeCon + CloudNativeCon Europe 2020.
Google and Intel speak on NFV and SFC service delivery
The slides are as presented at the meet up "Out of Box Network Developers" sponsored by Intel Networking Developer Zone
Here is the Agenda of the slides:
How DPDK, RDT and gRPC fit into SDI/SDN, NFV and OpenStack
Key Platform Requirements for SDI
SDI Platform Ingredients: DPDK, IntelⓇRDT
gRPC Service Framework
IntelⓇ RDT and gRPC service framework
BPF & Cilium - Turning Linux into a Microservices-aware Operating SystemThomas Graf
Container runtimes cause Linux to return to its original purpose: to serve applications interacting directly with the kernel. At the same time, the Linux kernel is traditionally difficult to change and its development process is full of myths. A new efficient in-kernel programming language called eBPF is changing this and allows everyone to extend existing kernel components or glue them together in new forms without requiring to change the kernel itself.
The Enterprise Guide to Building a Data Mesh - Introducing SpecMeshIanFurlong4
For organisations to successfully adopt data mesh, setting up and maintaining infrastructure needs to be easy.
We believe the best way to achieve this is to leverage the learnings from building a ‘central nervous system‘, commonly used in modern data-streaming ecosystems. This approach formalises and automates of the manual parts of building a data mesh.
This presentation introduces SpecMesh; a methodology and supporting developer toolkit to enable business to build the foundations of their data mesh.
DPDK Summit 2015 in San Francisco.
Intel's presentation by Keith Wiles.
For additional details and the video recording please visit www.dpdksummit.com.
Dataplane networking acceleration with OpenDataplane / Максим Уваров (Linaro)Ontico
HighLoad++ 2017
Зал «Москва», 7 ноября, 13:00
Тезисы:
http://www.highload.ru/2017/abstracts/2909.html
OpenDataPlane (ODP, https://www.opendataplane.org) является open-source-разработкой API для сетевых data plane-приложений, представляющий абстракцию между сетевым чипом и приложением. Сейчас вендоры, такие как TI, Freescale, Cavium, выпускают SDK с поддержкой ODP на своих микросхемах SoC. Если проводить аналогию с графическим стеком, то ODP можно сравнить с OpenGL API, но только в области сетевого программирования.
...
Fluid Network Planes – An overview of Network Refactoring and Offloading Trends. Keynote at IEEE Netsoft'19, Paris, 2019.
Keynote Description
10 years have passed since the term SDN was coined in 2009. Since then, the three letter acronym has kept evolving through broadening definitions until our state of affairs where SDN means little unless adequately technically elaborated.
Among the key aspects of SDN is the refactoring of the network control plane. At the crossroads, NFV introduces new ways to refactor network functions, be them control or data plane related.
Despite the softwarization flag of SDN and NFV, the hardware/software continuum is as relevant as ever, offering new offloading opportunities at node and network-wide scales.
In this talk, we will review evolving transformations behind network softwarization with a special focus on network refactoring and offloading trends leading to “fluid network planes”, where the location and HW/SW embodiments of network functions becomes blurry, from the edge to core, from one administrative provider to another, from programmable silicon to portable lightweight virtualized containers.
Many HPC applications are massively parallel and can benefit from the spatial parallelism offered by reconfigurable logic. While modern memory technologies can offer high bandwidth, designers must craft advanced communication and memory architectures for efficient data movement and on-chip storage. Addressing these challenges requires to combine compiler optimizations, high-level synthesis, and hardware design.
In this talk, I will present challenges, solutions, and trends for generating massively parallel accelerators on FPGA for high-performance computing. These architectures can provide performance comparable to software implementations on high-end processors, and much higher energy efficiency thanks to logic customization.
Container Attached Storage (CAS) with OpenEBS - SDC 2018OpenEBS
Applying micro service patterns to storage giving each workload its own Container Attached Storage (CAS) system. This puts the DevOps persona within full control of the storage requirements and brings data agility to k8s persistent workloads. We will go over the concept and the implementation of CAS, as well as its orchestration.
Using LLVM to accelerate processing of data in Apache ArrowDataWorks Summit
Most query engines follow an interpreter-based approach where a SQL query is translated into a tree of relational algebra operations then fed through a conventional tuple-based iterator model to execute the query. We will explore the overhead associated with this approach and how the performance of query execution on columnar data can be improved using run-time code generation via LLVM.
Generally speaking, the best case for optimal query execution performance is a hand-written query plan that does exactly what is needed by the query for the exact same data types and format. Vectorized query processing models amortize the cost of function calls. However, research has shown that hand-written code for a given query plan has the potential to outperform the optimizations associated with a vectorized query processing model.
Over the last decade, the LLVM compiler framework has seen significant development. Furthermore, the database community has realized the potential of LLVM to boost query performance by implementing JIT query compilation frameworks. With LLVM, a SQL query is translated into a portable intermediary representation (IR) which is subsequently converted into machine code for the desired target architecture.
Dremio is built on top of Apache Arrow’s in-memory columnar vector format. The in-memory vectors map directly to the vector type in LLVM and that makes our job easier when writing the query processing algorithms in LLVM. We will talk about how Dremio implemented query processing logic in LLVM for some operators like FILTER and PROJECT. We will also discuss the performance benefits of LLVM-based vectorized query execution over other methods.
Speaker
Siddharth Teotia, Dremio, Software Engineer
In the latest ONF and SDxCentral webianr, two of the researchers from the iSDX project, Nick Feamster, professor of computer science at Princeton University, and Arpit Gupta, leading researcher on iSDX at Princeton University. ONF's Technical Program Manager Rick Bauer will also present protion of the webinar, which will look at:
- why the industry needs iSDX
- how iSDX compares to other initiatives in the SDN ecosystem today
- a short demo of iSDX
- iSDX in practice – a customer viewpoint
http://bit.ly/1TAhUlA
Using Kubernetes to make cellular data plans cheaper for 50M usersMirantis
Use case of Kubernetes based NFV infrastructure used in production to run an open source evolved packet core. Presented by Facebook Connectivity and Mirantis at KubeCon + CloudNativeCon Europe 2020.
Google and Intel speak on NFV and SFC service delivery
The slides are as presented at the meet up "Out of Box Network Developers" sponsored by Intel Networking Developer Zone
Here is the Agenda of the slides:
How DPDK, RDT and gRPC fit into SDI/SDN, NFV and OpenStack
Key Platform Requirements for SDI
SDI Platform Ingredients: DPDK, IntelⓇRDT
gRPC Service Framework
IntelⓇ RDT and gRPC service framework
BPF & Cilium - Turning Linux into a Microservices-aware Operating SystemThomas Graf
Container runtimes cause Linux to return to its original purpose: to serve applications interacting directly with the kernel. At the same time, the Linux kernel is traditionally difficult to change and its development process is full of myths. A new efficient in-kernel programming language called eBPF is changing this and allows everyone to extend existing kernel components or glue them together in new forms without requiring to change the kernel itself.
The Enterprise Guide to Building a Data Mesh - Introducing SpecMeshIanFurlong4
For organisations to successfully adopt data mesh, setting up and maintaining infrastructure needs to be easy.
We believe the best way to achieve this is to leverage the learnings from building a ‘central nervous system‘, commonly used in modern data-streaming ecosystems. This approach formalises and automates of the manual parts of building a data mesh.
This presentation introduces SpecMesh; a methodology and supporting developer toolkit to enable business to build the foundations of their data mesh.
DPDK Summit 2015 in San Francisco.
Intel's presentation by Keith Wiles.
For additional details and the video recording please visit www.dpdksummit.com.
Dataplane networking acceleration with OpenDataplane / Максим Уваров (Linaro)Ontico
HighLoad++ 2017
Зал «Москва», 7 ноября, 13:00
Тезисы:
http://www.highload.ru/2017/abstracts/2909.html
OpenDataPlane (ODP, https://www.opendataplane.org) является open-source-разработкой API для сетевых data plane-приложений, представляющий абстракцию между сетевым чипом и приложением. Сейчас вендоры, такие как TI, Freescale, Cavium, выпускают SDK с поддержкой ODP на своих микросхемах SoC. Если проводить аналогию с графическим стеком, то ODP можно сравнить с OpenGL API, но только в области сетевого программирования.
...
Fluid Network Planes – An overview of Network Refactoring and Offloading Trends. Keynote at IEEE Netsoft'19, Paris, 2019.
Keynote Description
10 years have passed since the term SDN was coined in 2009. Since then, the three letter acronym has kept evolving through broadening definitions until our state of affairs where SDN means little unless adequately technically elaborated.
Among the key aspects of SDN is the refactoring of the network control plane. At the crossroads, NFV introduces new ways to refactor network functions, be them control or data plane related.
Despite the softwarization flag of SDN and NFV, the hardware/software continuum is as relevant as ever, offering new offloading opportunities at node and network-wide scales.
In this talk, we will review evolving transformations behind network softwarization with a special focus on network refactoring and offloading trends leading to “fluid network planes”, where the location and HW/SW embodiments of network functions becomes blurry, from the edge to core, from one administrative provider to another, from programmable silicon to portable lightweight virtualized containers.
Many HPC applications are massively parallel and can benefit from the spatial parallelism offered by reconfigurable logic. While modern memory technologies can offer high bandwidth, designers must craft advanced communication and memory architectures for efficient data movement and on-chip storage. Addressing these challenges requires to combine compiler optimizations, high-level synthesis, and hardware design.
In this talk, I will present challenges, solutions, and trends for generating massively parallel accelerators on FPGA for high-performance computing. These architectures can provide performance comparable to software implementations on high-end processors, and much higher energy efficiency thanks to logic customization.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Event Management System Vb Net Project Report.pdfKamal Acharya
In present era, the scopes of information technology growing with a very fast .We do not see any are untouched from this industry. The scope of information technology has become wider includes: Business and industry. Household Business, Communication, Education, Entertainment, Science, Medicine, Engineering, Distance Learning, Weather Forecasting. Carrier Searching and so on.
My project named “Event Management System” is software that store and maintained all events coordinated in college. It also helpful to print related reports. My project will help to record the events coordinated by faculties with their Name, Event subject, date & details in an efficient & effective ways.
In my system we have to make a system by which a user can record all events coordinated by a particular faculty. In our proposed system some more featured are added which differs it from the existing system such as security.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
COLLEGE BUS MANAGEMENT SYSTEM PROJECT REPORT.pdfKamal Acharya
The College Bus Management system is completely developed by Visual Basic .NET Version. The application is connect with most secured database language MS SQL Server. The application is develop by using best combination of front-end and back-end languages. The application is totally design like flat user interface. This flat user interface is more attractive user interface in 2017. The application is gives more important to the system functionality. The application is to manage the student’s details, driver’s details, bus details, bus route details, bus fees details and more. The application has only one unit for admin. The admin can manage the entire application. The admin can login into the application by using username and password of the admin. The application is develop for big and small colleges. It is more user friendly for non-computer person. Even they can easily learn how to manage the application within hours. The application is more secure by the admin. The system will give an effective output for the VB.Net and SQL Server given as input to the system. The compiled java program given as input to the system, after scanning the program will generate different reports. The application generates the report for users. The admin can view and download the report of the data. The application deliver the excel format reports. Because, excel formatted reports is very easy to understand the income and expense of the college bus. This application is mainly develop for windows operating system users. In 2017, 73% of people enterprises are using windows operating system. So the application will easily install for all the windows operating system users. The application-developed size is very low. The application consumes very low space in disk. Therefore, the user can allocate very minimum local disk space for this application.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.