In this video from the 2015 Stanford HPC Conference, Pavel Shamis from ORNL presents: Preparing OpenSHMEM for Exascale.
"OpenSHMEM is a partitioned global address space (PGAS) one-sided communications library that enables remote memory access (RMA) across processing elements (PEs). Its API allows data to be transferred from one PE memory space to another PE’s symmetric memory space; decoupling the data transfers from synchronizations. OpenSHMEM is useful for applications that are latency driven or that have irregular communication patterns, because its one-sided API can be mapped very efficiently to hardware (e.g. RDMA interconnects, etc), and its one-sided programming model helps the overlapping of communication with computation. Summit is Oak Ridge National Laboratory’s next high performance supercomputer system that will be based on a many core/GPU hybrid architecture. In order to prepare OpenSHMEM for future systems, it is important to enhance its programming model to enable efficient utilization of the new hardware capabilities (e.g. massive multithreaded systems, accesses different type memories, next generation of interconnects, etc). This session will present recent advances in the area of OpenSHMEM extensions, implementations, and tools.”
Watch the video: http://insidehpc.com/2015/02/video-preparing-openshmem-for-exascale/
See more talks in the Stanford HPC Conference Video Gallery: http://wp.me/P3RLHQ-dOO
Assisting User’s Transition to Titan’s Accelerated Architectureinside-BigData.com
Oak Ridge National Lab is home of Titan, the largest GPU accelerated supercomputer in the world. This fact alone can be an intimidating experience for users new to leadership computing facilities. Our facility has collected over four years of experience helping users port applications to Titan. This talk will explain common paths and tools to successfully port applications, and expose common difficulties experienced by new users. Lastly, learn how our free and open training program can assist your organization in this transition.
Performance Optimization of SPH Algorithms for Multi/Many-Core ArchitecturesDr. Fabio Baruffa
In the framework of the Intel Parallel Computing Centre at the Research Campus Garching in Munich, our group at LRZ presents recent results on performance optimization of Gadget-3, a widely used community code for computational astrophysics. We identify and isolate a sample code kernel, which is representative of a typical Smoothed Particle Hydrodynamics (SPH) algorithm and focus on threading parallelism optimization, change of the data layout into Structure of Arrays (SoA), compiler auto-vectorization and algorithmic improvements in the particle sorting. We measure lower execution time and improved threading scalability both on Intel Xeon (2.6× on Ivy Bridge) and Xeon Phi (13.7× on Knights Corner) systems. First tests on second generation Xeon Phi (Knights Landing) demonstrate the portability of the devised optimization solutions to upcoming architectures.
In this video from the 2015 Stanford HPC Conference, Pavel Shamis from ORNL presents: Preparing OpenSHMEM for Exascale.
"OpenSHMEM is a partitioned global address space (PGAS) one-sided communications library that enables remote memory access (RMA) across processing elements (PEs). Its API allows data to be transferred from one PE memory space to another PE’s symmetric memory space; decoupling the data transfers from synchronizations. OpenSHMEM is useful for applications that are latency driven or that have irregular communication patterns, because its one-sided API can be mapped very efficiently to hardware (e.g. RDMA interconnects, etc), and its one-sided programming model helps the overlapping of communication with computation. Summit is Oak Ridge National Laboratory’s next high performance supercomputer system that will be based on a many core/GPU hybrid architecture. In order to prepare OpenSHMEM for future systems, it is important to enhance its programming model to enable efficient utilization of the new hardware capabilities (e.g. massive multithreaded systems, accesses different type memories, next generation of interconnects, etc). This session will present recent advances in the area of OpenSHMEM extensions, implementations, and tools.”
Watch the video: http://insidehpc.com/2015/02/video-preparing-openshmem-for-exascale/
See more talks in the Stanford HPC Conference Video Gallery: http://wp.me/P3RLHQ-dOO
Assisting User’s Transition to Titan’s Accelerated Architectureinside-BigData.com
Oak Ridge National Lab is home of Titan, the largest GPU accelerated supercomputer in the world. This fact alone can be an intimidating experience for users new to leadership computing facilities. Our facility has collected over four years of experience helping users port applications to Titan. This talk will explain common paths and tools to successfully port applications, and expose common difficulties experienced by new users. Lastly, learn how our free and open training program can assist your organization in this transition.
Performance Optimization of SPH Algorithms for Multi/Many-Core ArchitecturesDr. Fabio Baruffa
In the framework of the Intel Parallel Computing Centre at the Research Campus Garching in Munich, our group at LRZ presents recent results on performance optimization of Gadget-3, a widely used community code for computational astrophysics. We identify and isolate a sample code kernel, which is representative of a typical Smoothed Particle Hydrodynamics (SPH) algorithm and focus on threading parallelism optimization, change of the data layout into Structure of Arrays (SoA), compiler auto-vectorization and algorithmic improvements in the particle sorting. We measure lower execution time and improved threading scalability both on Intel Xeon (2.6× on Ivy Bridge) and Xeon Phi (13.7× on Knights Corner) systems. First tests on second generation Xeon Phi (Knights Landing) demonstrate the portability of the devised optimization solutions to upcoming architectures.
This presentation by Stanislav Donets (Lead Software Engineer, Consultant, GlobalLogic, Kharkiv) was delivered at GlobalLogic Kharkiv C++ Workshop #1 on September 14, 2019.
In this talk were covered:
- Graphics Processing Units: Architecture and Programming (theory).
- Scratch Example: Barnes Hut n-Body Algorithm (practice).
Conference materials: https://www.globallogic.com/ua/events/kharkiv-cpp-workshop/
Philip Derbeko presents past design decisions that influenced the design of current filesystems, takes a look at how Linux tackles those problems and compares it with other operating systems, and discusses the upcoming revolution in storage and filesystem design.
Older than he looks, Philip Derbeko has been programming for over 20 years.
He was using Linux since days of Slackware 3.0 with kernel 2.0
Most of the years worked on storage, security systems and machine learning.
Currently, develops and herds a team of Linux, OS X and Windows kernel developers at enSilo.
Linux Kernel Cryptographic API and Use CasesKernel TLV
The Linux kernel has a rich and modular cryptographic API that is used extensively by familiar user facing software such as Android. It's also cryptic, badly documented, subject to change and can easily bite you in unexpected and painful ways.
This talk will describe the crypto API, provide some usage example and discuss some of the more interesting in-kernel users, such as DM-Crypt, DM-Verity and the new fie system encryption code.
Gilad Ben-Yossef is a principal software engineer at ARM. He works on the kernel security sub-system and the ARM CryptCell engine. Open source work done by Gilad includes an experiment in integration of network processors in the networking stack, a patch set for reducing the interference caused to user space processes in large multi-core systems by Linux kernel “maintenance” work and on SMP support for the Synopsys Arc processor among others.
Gilad has co-authored O’Reilly’s “Building Embedded Linux Systems” 2nd edition and presented at such venues as Embedded Linux Conference Europe and the Ottawa Linux Symposium, as well as co-founded Hamakor, an Israeli NGO for the advancement for Open Source and Free Software in Israel. When not hacking on kernel code you can find Gilad meditating and making dad jokes on Twitter.
Session ID: SFO17-509
Session Name: Deep Learning on ARM Platforms
- SFO17-509
Speaker: Jammy Zhou
Track:
★ Session Summary ★
A new era of deep learning is coming with algorithm evolvement, powerful computing platforms and large dataset availability. This session will focus on existing and potential heterogeneous accelerator solutions (GPU, FPGA, DSP, and etc) for ARM platforms and the work ahead from platform perspective.
---------------------------------------------------
★ Resources ★
Event Page: http://connect.linaro.org/resource/sfo17/sfo17-509/
Presentation:
Video:
---------------------------------------------------
★ Event Details ★
Linaro Connect San Francisco 2017 (SFO17)
25-29 September 2017
Hyatt Regency San Francisco Airport
---------------------------------------------------
Keyword:
http://www.linaro.org
http://connect.linaro.org
---------------------------------------------------
Follow us on Social Media
https://www.facebook.com/LinaroOrg
https://twitter.com/linaroorg
https://www.youtube.com/user/linaroorg?sub_confirmation=1
https://www.linkedin.com/company/1026961
Asymmetric Multiprocessing - Kynetics ELC 2018 portlandNicola La Gloria
Asymmetric multi-processing (AMP) systems fulfill the need for high performance and real-time by combining the responsiveness of a MCU with the processing power of an application processor which runs a full OS.
This talk will present a technical overview on asymmetric multiprocessing platforms focussing on motivations, use cases and how to handle interprocess communication between MCU and MPU in practice.
FOSS and Linux in particular provides an excellent OS when it comes to hacking gadgets. This presentation created a couple of years back presents GNU/Linux as the unconventional OS that makes this all possible!
Tempesta FW: a FrameWork and FireWall for HTTP DDoS mitigation and Web Applic...Alexander Krizhanovsky
Tempesta FW is the first and only hybrid of HTTP accelerator (reverse proxy) and firewall, specially developed for Application level DDoS mitigation and building high performance Web Application Firewalls (WAF). Tempesta FW is embedded into Linux TCP/IP stack, uses the fastest HTTP parser and NUMA-aware Web-cache with modern hardware optimized data structures. Tempesta FW outperforms modern HTTP servers in x8-12 times and scales linearly on multi-core hardware and many concurrent TCP connections. High performance filtering framework with drop-early strategy equiped by advanced traffic classification module based on machine learning algorithms delivers reliable DDoS protection and outstanding Web-content acceleration under normal conditions. Tempesta FW accelerates Web-content in accordance with recent HTTP standards RFC 7230-7235 as well as with RFC 2616. Webacceleration in both with robust filtering provide solid platform for filtering CDNs. Tempesta FW provides unique technology, Generic Finite State Machine (GFSM), and ultimate set of hooks on all network layers. Thus, any complex classification logic, including challenge-response, can be done on top of Tempesta FW. Tempesta FW provides an extensive set of load balancing methods. HTTP requests can be distributed among backend servers via complex conditional statements over any HTTP headers and IP addresses. Tempesta FW is pure software solution which delivers 10Gbps performance on commodity hardware, so it can be used similarly in virtual machines. Tempesta Technologies Ltd. is a subsidiary of NatSys Laboratory Ltd. which was founded in 2008 and specializes in high performance and distributed computing.
VSPERF BEnchmarking the Network Data Plane of NFV VDevices and VLinksOPNFV
Performance of virtual devices (vswitches, vforwarders, VNFs) and virtual connectivity (VNF-to-NIC, VNF-to-VNF, NIC-to-NIC), is a key consideration for any NFV design and infrastructure – both the methodology of benchmarking deterministic performance, as well as the actual test results and their understanding. The OPNFV VSPERF project addresses this important domain. This session reviews and combines VSPERF results with with the results of Cisco internal benchmarking project that evaluates best-of-breed NFV open-source and commercial technologies. The talk includes lessons learned in VNF benchmarking methodology, extended RFC2544 methodology, results highlights, runtime x86 resource analysis and what matters conclusions on the state of virtualize networking based on KVM.
"Session ID: BUD17-300
Session Name: Journey of a packet - BUD17-300
Speaker: Maxim Uvarov
Track: LNG
★ Session Summary ★
Describe step by step what components a packet goes through and details cases when components are implemented in hardware or in software. Attendees will have the definite presentation to understand fundamental differences with DPDK and how ODP solves low end and high end networking issues.
---------------------------------------------------
★ Resources ★
Event Page: http://connect.linaro.org/resource/bud17/bud17-300/
Presentation: https://www.slideshare.net/linaroorg/bud17300-journey-of-a-packet
Video: https://youtu.be/wRZXw_xBT20
---------------------------------------------------
★ Event Details ★
Linaro Connect Budapest 2017 (BUD17)
6-10 March 2017
Corinthia Hotel, Budapest,
Erzsébet krt. 43-49,
1073 Hungary
---------------------------------------------------
Keyword: packet, LNG
http://www.linaro.org
http://connect.linaro.org
---------------------------------------------------
Follow us on Social Media
https://www.facebook.com/LinaroOrg
https://twitter.com/linaroorg
https://www.youtube.com/user/linaroorg?sub_confirmation=1
https://www.linkedin.com/company/1026961
Programming Trends in High Performance ComputingJuris Vencels
Presented on June 3, 2016 @
University of Latvia, Faculty of Physics and Mathematics
Laboratory for mathematical modelling of environmental and technological processes
Enjoy, like, share, distribute, remix, tweak, credit is not required.
This presentation by Stanislav Donets (Lead Software Engineer, Consultant, GlobalLogic, Kharkiv) was delivered at GlobalLogic Kharkiv C++ Workshop #1 on September 14, 2019.
In this talk were covered:
- Graphics Processing Units: Architecture and Programming (theory).
- Scratch Example: Barnes Hut n-Body Algorithm (practice).
Conference materials: https://www.globallogic.com/ua/events/kharkiv-cpp-workshop/
Philip Derbeko presents past design decisions that influenced the design of current filesystems, takes a look at how Linux tackles those problems and compares it with other operating systems, and discusses the upcoming revolution in storage and filesystem design.
Older than he looks, Philip Derbeko has been programming for over 20 years.
He was using Linux since days of Slackware 3.0 with kernel 2.0
Most of the years worked on storage, security systems and machine learning.
Currently, develops and herds a team of Linux, OS X and Windows kernel developers at enSilo.
Linux Kernel Cryptographic API and Use CasesKernel TLV
The Linux kernel has a rich and modular cryptographic API that is used extensively by familiar user facing software such as Android. It's also cryptic, badly documented, subject to change and can easily bite you in unexpected and painful ways.
This talk will describe the crypto API, provide some usage example and discuss some of the more interesting in-kernel users, such as DM-Crypt, DM-Verity and the new fie system encryption code.
Gilad Ben-Yossef is a principal software engineer at ARM. He works on the kernel security sub-system and the ARM CryptCell engine. Open source work done by Gilad includes an experiment in integration of network processors in the networking stack, a patch set for reducing the interference caused to user space processes in large multi-core systems by Linux kernel “maintenance” work and on SMP support for the Synopsys Arc processor among others.
Gilad has co-authored O’Reilly’s “Building Embedded Linux Systems” 2nd edition and presented at such venues as Embedded Linux Conference Europe and the Ottawa Linux Symposium, as well as co-founded Hamakor, an Israeli NGO for the advancement for Open Source and Free Software in Israel. When not hacking on kernel code you can find Gilad meditating and making dad jokes on Twitter.
Session ID: SFO17-509
Session Name: Deep Learning on ARM Platforms
- SFO17-509
Speaker: Jammy Zhou
Track:
★ Session Summary ★
A new era of deep learning is coming with algorithm evolvement, powerful computing platforms and large dataset availability. This session will focus on existing and potential heterogeneous accelerator solutions (GPU, FPGA, DSP, and etc) for ARM platforms and the work ahead from platform perspective.
---------------------------------------------------
★ Resources ★
Event Page: http://connect.linaro.org/resource/sfo17/sfo17-509/
Presentation:
Video:
---------------------------------------------------
★ Event Details ★
Linaro Connect San Francisco 2017 (SFO17)
25-29 September 2017
Hyatt Regency San Francisco Airport
---------------------------------------------------
Keyword:
http://www.linaro.org
http://connect.linaro.org
---------------------------------------------------
Follow us on Social Media
https://www.facebook.com/LinaroOrg
https://twitter.com/linaroorg
https://www.youtube.com/user/linaroorg?sub_confirmation=1
https://www.linkedin.com/company/1026961
Asymmetric Multiprocessing - Kynetics ELC 2018 portlandNicola La Gloria
Asymmetric multi-processing (AMP) systems fulfill the need for high performance and real-time by combining the responsiveness of a MCU with the processing power of an application processor which runs a full OS.
This talk will present a technical overview on asymmetric multiprocessing platforms focussing on motivations, use cases and how to handle interprocess communication between MCU and MPU in practice.
FOSS and Linux in particular provides an excellent OS when it comes to hacking gadgets. This presentation created a couple of years back presents GNU/Linux as the unconventional OS that makes this all possible!
Tempesta FW: a FrameWork and FireWall for HTTP DDoS mitigation and Web Applic...Alexander Krizhanovsky
Tempesta FW is the first and only hybrid of HTTP accelerator (reverse proxy) and firewall, specially developed for Application level DDoS mitigation and building high performance Web Application Firewalls (WAF). Tempesta FW is embedded into Linux TCP/IP stack, uses the fastest HTTP parser and NUMA-aware Web-cache with modern hardware optimized data structures. Tempesta FW outperforms modern HTTP servers in x8-12 times and scales linearly on multi-core hardware and many concurrent TCP connections. High performance filtering framework with drop-early strategy equiped by advanced traffic classification module based on machine learning algorithms delivers reliable DDoS protection and outstanding Web-content acceleration under normal conditions. Tempesta FW accelerates Web-content in accordance with recent HTTP standards RFC 7230-7235 as well as with RFC 2616. Webacceleration in both with robust filtering provide solid platform for filtering CDNs. Tempesta FW provides unique technology, Generic Finite State Machine (GFSM), and ultimate set of hooks on all network layers. Thus, any complex classification logic, including challenge-response, can be done on top of Tempesta FW. Tempesta FW provides an extensive set of load balancing methods. HTTP requests can be distributed among backend servers via complex conditional statements over any HTTP headers and IP addresses. Tempesta FW is pure software solution which delivers 10Gbps performance on commodity hardware, so it can be used similarly in virtual machines. Tempesta Technologies Ltd. is a subsidiary of NatSys Laboratory Ltd. which was founded in 2008 and specializes in high performance and distributed computing.
VSPERF BEnchmarking the Network Data Plane of NFV VDevices and VLinksOPNFV
Performance of virtual devices (vswitches, vforwarders, VNFs) and virtual connectivity (VNF-to-NIC, VNF-to-VNF, NIC-to-NIC), is a key consideration for any NFV design and infrastructure – both the methodology of benchmarking deterministic performance, as well as the actual test results and their understanding. The OPNFV VSPERF project addresses this important domain. This session reviews and combines VSPERF results with with the results of Cisco internal benchmarking project that evaluates best-of-breed NFV open-source and commercial technologies. The talk includes lessons learned in VNF benchmarking methodology, extended RFC2544 methodology, results highlights, runtime x86 resource analysis and what matters conclusions on the state of virtualize networking based on KVM.
"Session ID: BUD17-300
Session Name: Journey of a packet - BUD17-300
Speaker: Maxim Uvarov
Track: LNG
★ Session Summary ★
Describe step by step what components a packet goes through and details cases when components are implemented in hardware or in software. Attendees will have the definite presentation to understand fundamental differences with DPDK and how ODP solves low end and high end networking issues.
---------------------------------------------------
★ Resources ★
Event Page: http://connect.linaro.org/resource/bud17/bud17-300/
Presentation: https://www.slideshare.net/linaroorg/bud17300-journey-of-a-packet
Video: https://youtu.be/wRZXw_xBT20
---------------------------------------------------
★ Event Details ★
Linaro Connect Budapest 2017 (BUD17)
6-10 March 2017
Corinthia Hotel, Budapest,
Erzsébet krt. 43-49,
1073 Hungary
---------------------------------------------------
Keyword: packet, LNG
http://www.linaro.org
http://connect.linaro.org
---------------------------------------------------
Follow us on Social Media
https://www.facebook.com/LinaroOrg
https://twitter.com/linaroorg
https://www.youtube.com/user/linaroorg?sub_confirmation=1
https://www.linkedin.com/company/1026961
Programming Trends in High Performance ComputingJuris Vencels
Presented on June 3, 2016 @
University of Latvia, Faculty of Physics and Mathematics
Laboratory for mathematical modelling of environmental and technological processes
Enjoy, like, share, distribute, remix, tweak, credit is not required.
Seven years ago at LCA, Van Jacobsen introduced the concept of net channels but since then the concept of user mode networking has not hit the mainstream. There are several different user mode networking environments: Intel DPDK, BSD netmap, and Solarflare OpenOnload. Each of these provides higher performance than standard Linux kernel networking; but also creates new problems. This talk will explore the issues created by user space networking including performance, internal architecture, security and licensing.
Install FD.IO VPP On Intel(r) Architecture & Test with Trex*Michelle Holley
This demo/lab will guide you to install and configure FD.io Vector Packet Processing (VPP) on Intel® Architecture (AI) Server. You will also learn to install TRex* on another AI Server to send packets to the VPP, and use some VPP commands to forward packets back to the TRex*.
Speaker: Loc Nguyen. Loc is a Software Application Engineer in Data Center Scale Engineering Team. Loc joined Intel in 2005, and has worked in various projects. Before joining the network group, Loc worked in High-Performance Computing area and supported Intel® Xeon Phi™ Product Family. His interest includes computer graphics, parallel computing, and computer networking.
Data Policies for the Kafka-API with WebAssembly | Alexander Gallego, VectorizedHostedbyConfluent
Enforcing format, changing schema, introducing privacy filters have always been a challenge with the classical Kafka-API. In this talk we'll cover how to extend existing applications with webassembly, allowing developers to change the shape of data at runtime, per application without creating additional topics. By leveraging WebAssembly, we can extend the capabilities of the Kafka-API beyond what it was initially imagined. Come and learn about the future of the Kafka-API
Ariel Waizel discusses the Data Plane Development Kit (DPDK), an API for developing fast packet processing code in user space.
* Who needs this library? Why bypass the kernel?
* How does it work?
* How good is it? What are the benchmarks?
* Pros and cons
Ariel worked on kernel development at the IDF, Ben Gurion University, and several companies. He is interested in networking, security, machine learning, and basically everything except UI development. Currently a Solution Architect at ConteXtream (an HPE company), which specializes in SDN solutions for the telecom industry.
DPDK Summit 2015 - Aspera - Charles ShiflettJim St. Leger
DPDK Summit 2015 in San Francisco.
Presentation by Charles Shiflett, Aspera.
For additional details and the video recording please visit www.dpdksummit.com.
HPC and cloud distributed computing, as a journeyPeter Clapham
Introducing an internal cloud brings new paradigms, tools and infrastructure management. When placed alongside traditional HPC the new opportunities are significant But getting to the new world with micro-services, autoscaling and autodialing is a journey that cannot be achieved in a single step.
Designing HPC & Deep Learning Middleware for Exascale Systemsinside-BigData.com
DK Panda from Ohio State University presented this deck at the 2017 HPC Advisory Council Stanford Conference.
"This talk will focus on challenges in designing runtime environments for exascale systems with millions of processors and accelerators to support various programming models. We will focus on MPI, PGAS (OpenSHMEM, CAF, UPC and UPC++) and Hybrid MPI+PGAS programming models by taking into account support for multi-core, high-performance networks, accelerators (GPGPUs and Intel MIC), virtualization technologies (KVM, Docker, and Singularity), and energy-awareness. Features and sample performance numbers from the MVAPICH2 libraries will be presented."
Watch the video: http://wp.me/p3RLHQ-glW
Learn more: http://hpcadvisorycouncil.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
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.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
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.
NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...ssuser7dcef0
Power plants release a large amount of water vapor into the
atmosphere through the stack. The flue gas can be a potential
source for obtaining much needed cooling water for a power
plant. If a power plant could recover and reuse a portion of this
moisture, it could reduce its total cooling water intake
requirement. One of the most practical way to recover water
from flue gas is to use a condensing heat exchanger. The power
plant could also recover latent heat due to condensation as well
as sensible heat due to lowering the flue gas exit temperature.
Additionally, harmful acids released from the stack can be
reduced in a condensing heat exchanger by acid condensation. reduced in a condensing heat exchanger by acid condensation.
Condensation of vapors in flue gas is a complicated
phenomenon since heat and mass transfer of water vapor and
various acids simultaneously occur in the presence of noncondensable
gases such as nitrogen and oxygen. Design of a
condenser depends on the knowledge and understanding of the
heat and mass transfer processes. A computer program for
numerical simulations of water (H2O) and sulfuric acid (H2SO4)
condensation in a flue gas condensing heat exchanger was
developed using MATLAB. Governing equations based on
mass and energy balances for the system were derived to
predict variables such as flue gas exit temperature, cooling
water outlet temperature, mole fraction and condensation rates
of water and sulfuric acid vapors. The equations were solved
using an iterative solution technique with calculations of heat
and mass transfer coefficients and physical properties.
CW RADAR, FMCW RADAR, FMCW ALTIMETER, AND THEIR PARAMETERSveerababupersonal22
It consists of cw radar and fmcw radar ,range measurement,if amplifier and fmcw altimeterThe CW radar operates using continuous wave transmission, while the FMCW radar employs frequency-modulated continuous wave technology. Range measurement is a crucial aspect of radar systems, providing information about the distance to a target. The IF amplifier plays a key role in signal processing, amplifying intermediate frequency signals for further analysis. The FMCW altimeter utilizes frequency-modulated continuous wave technology to accurately measure altitude above a reference point.
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...Amil Baba Dawood bangali
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About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
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.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
1. PFQ: a Novel Architecture for Packet
Capture on Parallel Commodity
Hardware
Nicola Bonelli, Andrea Di Pietro,
Stefano Giordano, Gregorio Procissi
CNIT e Dip. di Ingegneria dell’Informazione - Università di Pisa
2. Outline
• Introduction and motivation
• Multi-core programming guidelines
• PFQ architecture
• Performance evaluation
• Conclusion and future work
3. Introduction and Motivations
• Designing monitoring applications has become a very challenging task:
– The hardware has evolved: 10Gbits links, multi-core architectures and multi-
queue network devices (MSI-X)…
• The present software for traffic monitoring, including some parts of the
Linux kernel, is not optimized for new hardware
– (+) kernel support for multi-queue network adapters is implemented
– (-) Linux kernel has a very bad support for monitoring applications
– (-) PF_PACKET is extremely slow, even when used in memory-map mode (pcap)
– (-) PF_RING has been designed for single-processor systems
• Traffic monitoring should:
– Exploits modern hardware, scaling possibly linearly with the number of cores
– Decouple the hardware parallelism from the software one
– Divide and conquer approach to steer packets to applications or threads
4. Multi-thread on Multi-core
• What’s wrong with the current software?
– Previous multi-threading paradigms used for single-processor systems are still
valid, but prevent the software from scaling with the number of cores.
• For a software to be effective on multi-core system…
– Semaphores, mutexes, and spinlocks are out of question!
– R/W mutexes prevent readers from scaling, even though they are supposed to
grant concurrent access to readers
– Atomic operations are sometimes required, but must be used with
moderation
• sparse-counters instead of atomic ones
• design algorithm as they can use amortized atomic operations
– Sharing (writes to shared data) has serious impact on performance
– writes to shared memory are delayed by the hardware, reads must be synchronized
– False-sharing must and can always be avoided
• wait-free algorithms are mandatory, use lock-free algorithm should be
avoided (if possible)…
5. PFQ preamble
• PFQ is a novel capture system natively supporting 64bit multi-core
architectures written on top of all the previously exposed
guidelines
• PFQ is not a custom driver
• It is an architecture running on top of standard Ethernet drivers, as
well as slightly modified ones “PFQ aware drivers” (PF_RING aware
driver inheritance)
• PFQ enables packet capturing, filtering, hw queues and devices
aggregation, packet classifications, packet steering and so forth…
• Decouples the hardware parallelism (i.e. Intel RSS) from the
software one
6. PFQ architecture
Built on the top of the following components…
• User-space C++11 library that provides the same abstraction as that of the STL:
container and iterators
• DB-MPSC queue: double-buffered multiple-producers queue (for the
communication to user-space):
– Allows NAPI contexts to enqueue packets concurrently
– Reduce the sharing, eliminate the false sharing between user-space and NAPI contexts
– Enables user-space copies of packets from the queue to a private buffer in a batch fashion
• De-multiplexing Matrix:
– perfect wait-free concurrently accessible data structure
– no serialization is required to steer/copy packets
• SPSC queue:
– enables batching for socket buffers (skb), to increase temporal locality for the memory
manager (SLAB for kernel prior to 2.6.39)
• Driver aware:
– an effective idea inherited from PF_RING
8. Packet steering
Given a packet and a set of sockets, which sockets need to receive it?
• For capture engines that do not support it, filtering can be used to
dispatch packets across a number of sockets:
– Traversing the socket list to find those interested in the packet has
linear complexity O(n).
– Flexible approach because it enables dispatching as well as copies
• We designed a “packet steering” paradigm that:
– O(1) complexity to identify the destination sockets
– Support both balancing and copies of packets
– Custom hash functions for packet dispatching
9. Packet steering
• Completely concurrent block (wait-free):
– Shared state (de-multiplexing matrix) is mostly read only
– Writes, which are in general rare events, are serialized each other to prevent
race conditions. The update of the state in the matrix is atomic
• Load balancing groups:
– A socket can create or subscribe a load-balancing group
– It will receive a fraction of the overall traffic
• Socket binding
– One or more hardware queues of a given NIC
– One or more NICs
• Binding and balancing groups are orthogonal and can be concurrently
used
10. Socket queue: DB-MPSC
• The queue of socket is an unavoidable contention point:
– Load balancing shuffles packets across sockets
• How handle contention without impacting the performance?
– Use an atomic operation to reserve a slot within the queue (will be amortized
in future implementations)
– Reduce traffic coherence among the cores running k-thread and user-space
thread
– Swap between buffers is triggered by user-space thread or by water-mark
– Packets can be copied in batch fashion, or consumed in-place
11. Testbed: Mascara & Monsters
Mascara Monsters
10 Gb link
Xeon 6-core X5650, @2.57 GHz,
12GBytes RAM
New socket PF_DIRECT for generation
Intel 82599 multi-queue 10G ethernet
adapter.
By deploying 3-4 cores, it is possible to
generate up to ~12 Mpps of 64 bytes.
Xeon 6-core X5650 @2.57GHz, 12
GBytes RAM
Intel 82599 multi-queue 10G ethernet
adapter
PFQ on board for traffic capture
14. Load balancing across sockets
• Using 12 capturing NAPI
• Varying the number of user space threads
15. Packet copy
• Copying packets to a variable number of user space threads
• 12 NAPI contexts within the kernel
16. Future directions
We are working to improve the packet steering framework…
• How can we better distribute packets according to application-
specific semantics?
• Enhance balancing groups, allow a single socket to join multiple
balancing groups
• Each group is associated with a “specific steering function”
• Investigating on the implementation for wait-free stateful algorithm
(pimp/CAS)
• Add the support of control- and data-plane socket
• Implement a filtering mechanism by means of some bloom filter
variant (capture filters)
17. Conclusions
• Modern commodity architectures are increasingly parallel
• Multithread software is today not ready for multi-core
architectures:
• Need to strictly fulfill coding and design rules to achieve linear
scalability
• PFQ: a novel Linux packet capturing engine
– Better scalability with respect to competitors
– Flexible packet steering that eases the implementation of multi-
thread user-space applications
– Decouples kernel space and user space parallelism
• PFQ webpage and download:
– netgroup.iet.unipi.it/software/pfq