This paper shows the details for implementing an interface between the programming language R and programmable fabric of a Xilinx Zynq FPGA on a zedboard.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
DOUBLE PRECISION FLOATING POINT CORE IN VERILOGIJCI JOURNAL
A floating-point unit (FPU) is a math coprocessor, a part of a computer system specially designed to carry
out operations on floating point numbers. The term floating point refers to the fact that the radix point can
"float"; that is, it can placed anywhere with respect to the significant digits of the number. Double
precision floating point, also known as double, is a commonly used format on PCs due to its wider range
over single precision in spite of its performance and bandwidth cost. This paper aims at developing the
verilog version of the double precision floating point core designed to meet the IEEE 754 standard .This
standard defines a double as sign bit, exponent and mantissa. The aim is to build an efficient FPU that
performs basic functions with reduced complexity of the logic used and also reduces the memory
requirement as far as possible.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
DOUBLE PRECISION FLOATING POINT CORE IN VERILOGIJCI JOURNAL
A floating-point unit (FPU) is a math coprocessor, a part of a computer system specially designed to carry
out operations on floating point numbers. The term floating point refers to the fact that the radix point can
"float"; that is, it can placed anywhere with respect to the significant digits of the number. Double
precision floating point, also known as double, is a commonly used format on PCs due to its wider range
over single precision in spite of its performance and bandwidth cost. This paper aims at developing the
verilog version of the double precision floating point core designed to meet the IEEE 754 standard .This
standard defines a double as sign bit, exponent and mantissa. The aim is to build an efficient FPU that
performs basic functions with reduced complexity of the logic used and also reduces the memory
requirement as far as possible.
Field Programmable Gate Arrays (FPGAs) are configurable integrated circuits able to provide a good trade-off in terms of performance, power consumption, and flexibility with respect to other architectures, like CPUs, GPUs and ASICs. The main drawback in using FPGAs, however, is their steep learning curve. An emerging solution to this problem is to write algorithms in a Domain Specific Language (DSL) and to let the DSL compiler generate efficient code targeting FPGAs. This work proposes FROST, a unified backend that enables different DSL compilers to target FPGA architectures. Differently from other code generation frameworks targeting FPGA, FROST exploits a scheduling co-language that enables users to have full control over which optimizations to apply in order to generate efficient code (e.g. loop pipelining, array partitioning, vectorization). At first, FROST analyzes and manipulates the input Abstract Syntax Tree (AST) in order to apply FPGA-oriented transformations and optimizations, then generates a C/C++ implementation suitable for High-Level Synthesis (HLS) tools. Finally, the output of HLS phase is synthesized and implemented on the target FPGA using Xilinx SDAccel toolchain.
FROST currently supports as front-end Halide, an Image Processing DSL, and Tiramisu, a DSL optimizer, and allows to achieve significant speedups with respect to state-of-the-art FPGA implementations of the same algorithms.
The R language is a project designed to create a free, open source language which can be used as a replacement for the S-PLUS language, originally developed as the S language at AT&T Bell Labs, and currently marketed by Insightful Corporation of Seattle, Washington. R is an open source implementation of S, and differs from S-plus largely in its command-line only format.
Topics Covered:
1.Introduction to R
2.Installing R
3.Why Learn R
4.The R Console
5.Basic Arithmetic and Objects
6.Program Example
7.Programming with Big Data in R
8.Big Data Strategies in R
9.Applications of R Programming
10.Companies Using R
11.What R is not so good at
12.Conclusion
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.
FPGA Implementation of LDPC Encoder for Terrestrial TelevisionAI Publications
The increasing data rates in digital television networks increase the demands on data capacity of the current transmission channels. Through new standards, the capacity of existing channels is increased with new methods of error correction coding and modulation. In this work, Low Density Parity Check (LDPC) codes are implemented for their error correcting capability. LDPC is a linear error correcting code. These linear error correcting codes are used for transmitting a message over a noisy transmission channel. LDPC codes are finding increasing use in applications requiring reliable and highly efficient information transfer over noisy channels. These codes are capable of performing near to Shannon limit performance and have low decoding complexity. LDPC uses parity check matrix for its encoding and decoding purpose. The main advantage of the parity check matrix is that it helps in detecting and correcting errors which is a very important advantage against noisy channels. This work presents the design and implementation of a LDPC encoder for transmission of digital terrestrial television according to the Chinese DTMB standard. The system is written in Verilog and is implemented on FPGA. The whole work is then verified with the help of Matlab modelling.
It is one of the Best Presentation on the topic "R Programming" having interesting Slides consisting of Amazing Images & Very Useful Information. It also have Transitions & Animation which makes the Presentation more Interesting & Attractive.
Created By - Abhishek Pratap Singh (Aps)
R is a programming language and software environment for statistical analysis, graphics representation and reporting. Are You Interested to Learning R Programming in Best Institute Join Besant Technologies in Bangalore.
Basic tutorial for R programming. this video contains lot of information about r programming like
agenda
history
SOFTWARE PARADIGM
R interface
advantages of r
drawbacks of r
This study paper portrays a fresh approach for
a course and laboratory design to establish low cost prototypes
and other entrenched devices that accentuate virtual
programmable logic device (VPLD), object oriented java and
real time processing tactics. JAVA is used for software
development. The study encompasses the use of host and node
application. A high performance, low power AVR with high
endurance non-volatile memory segments and with an advance
RISC structure is used to construct prototypes. The paperwork
deals with the VPLD board which is capable to work as
corresponding digital logic analyzer, equation parser, standard
digital IC and design wave studio
STUDY ON EMERGING APPLICATIONS ON DATA PLANE AND OPTIMIZATION POSSIBILITIESijdpsjournal
By programming both the data plane and the control plane, network operators can adapt their networks to
their needs. Thanks to research over the past decade, this concept has more formulized and more
technologically feasible. However, since control plane programmability came first, it has already been
successfully implemented in the real network and is beginning to pay off. Today, the data plane
programmability is evolving very rapidly to reach this level, attracting the attention of researchers and
developers: Designing data plane languages, application development on it, formulizing software switches
and architecture that can run data plane codes and the applications, increasing performance of software
switch, and so on. As the control plane and data plane become more open, many new innovations and
technologies are emerging, but some experts warn that consumers may be confused as to which of the many
technologies to choose. This is a testament to how much innovation is emerging in the network. This paper
outlines some emerging applications on the data plane and offers opportunities for further improvement
and optimization. Our observations show that most of the implementations are done in a test environment
and have not been tested well enough in terms of performance, but there are many interesting works, for
example, previous control plane solutions are being implemented in the data plane.
Field Programmable Gate Arrays (FPGAs) are configurable integrated circuits able to provide a good trade-off in terms of performance, power consumption, and flexibility with respect to other architectures, like CPUs, GPUs and ASICs. The main drawback in using FPGAs, however, is their steep learning curve. An emerging solution to this problem is to write algorithms in a Domain Specific Language (DSL) and to let the DSL compiler generate efficient code targeting FPGAs. This work proposes FROST, a unified backend that enables different DSL compilers to target FPGA architectures. Differently from other code generation frameworks targeting FPGA, FROST exploits a scheduling co-language that enables users to have full control over which optimizations to apply in order to generate efficient code (e.g. loop pipelining, array partitioning, vectorization). At first, FROST analyzes and manipulates the input Abstract Syntax Tree (AST) in order to apply FPGA-oriented transformations and optimizations, then generates a C/C++ implementation suitable for High-Level Synthesis (HLS) tools. Finally, the output of HLS phase is synthesized and implemented on the target FPGA using Xilinx SDAccel toolchain.
FROST currently supports as front-end Halide, an Image Processing DSL, and Tiramisu, a DSL optimizer, and allows to achieve significant speedups with respect to state-of-the-art FPGA implementations of the same algorithms.
The R language is a project designed to create a free, open source language which can be used as a replacement for the S-PLUS language, originally developed as the S language at AT&T Bell Labs, and currently marketed by Insightful Corporation of Seattle, Washington. R is an open source implementation of S, and differs from S-plus largely in its command-line only format.
Topics Covered:
1.Introduction to R
2.Installing R
3.Why Learn R
4.The R Console
5.Basic Arithmetic and Objects
6.Program Example
7.Programming with Big Data in R
8.Big Data Strategies in R
9.Applications of R Programming
10.Companies Using R
11.What R is not so good at
12.Conclusion
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.
FPGA Implementation of LDPC Encoder for Terrestrial TelevisionAI Publications
The increasing data rates in digital television networks increase the demands on data capacity of the current transmission channels. Through new standards, the capacity of existing channels is increased with new methods of error correction coding and modulation. In this work, Low Density Parity Check (LDPC) codes are implemented for their error correcting capability. LDPC is a linear error correcting code. These linear error correcting codes are used for transmitting a message over a noisy transmission channel. LDPC codes are finding increasing use in applications requiring reliable and highly efficient information transfer over noisy channels. These codes are capable of performing near to Shannon limit performance and have low decoding complexity. LDPC uses parity check matrix for its encoding and decoding purpose. The main advantage of the parity check matrix is that it helps in detecting and correcting errors which is a very important advantage against noisy channels. This work presents the design and implementation of a LDPC encoder for transmission of digital terrestrial television according to the Chinese DTMB standard. The system is written in Verilog and is implemented on FPGA. The whole work is then verified with the help of Matlab modelling.
It is one of the Best Presentation on the topic "R Programming" having interesting Slides consisting of Amazing Images & Very Useful Information. It also have Transitions & Animation which makes the Presentation more Interesting & Attractive.
Created By - Abhishek Pratap Singh (Aps)
R is a programming language and software environment for statistical analysis, graphics representation and reporting. Are You Interested to Learning R Programming in Best Institute Join Besant Technologies in Bangalore.
Basic tutorial for R programming. this video contains lot of information about r programming like
agenda
history
SOFTWARE PARADIGM
R interface
advantages of r
drawbacks of r
This study paper portrays a fresh approach for
a course and laboratory design to establish low cost prototypes
and other entrenched devices that accentuate virtual
programmable logic device (VPLD), object oriented java and
real time processing tactics. JAVA is used for software
development. The study encompasses the use of host and node
application. A high performance, low power AVR with high
endurance non-volatile memory segments and with an advance
RISC structure is used to construct prototypes. The paperwork
deals with the VPLD board which is capable to work as
corresponding digital logic analyzer, equation parser, standard
digital IC and design wave studio
STUDY ON EMERGING APPLICATIONS ON DATA PLANE AND OPTIMIZATION POSSIBILITIESijdpsjournal
By programming both the data plane and the control plane, network operators can adapt their networks to
their needs. Thanks to research over the past decade, this concept has more formulized and more
technologically feasible. However, since control plane programmability came first, it has already been
successfully implemented in the real network and is beginning to pay off. Today, the data plane
programmability is evolving very rapidly to reach this level, attracting the attention of researchers and
developers: Designing data plane languages, application development on it, formulizing software switches
and architecture that can run data plane codes and the applications, increasing performance of software
switch, and so on. As the control plane and data plane become more open, many new innovations and
technologies are emerging, but some experts warn that consumers may be confused as to which of the many
technologies to choose. This is a testament to how much innovation is emerging in the network. This paper
outlines some emerging applications on the data plane and offers opportunities for further improvement
and optimization. Our observations show that most of the implementations are done in a test environment
and have not been tested well enough in terms of performance, but there are many interesting works, for
example, previous control plane solutions are being implemented in the data plane.
STUDY ON EMERGING APPLICATIONS ON DATA PLANE AND OPTIMIZATION POSSIBILITIES ijdpsjournal
By programming both the data plane and the control plane, network operators can adapt their networks to
their needs. Thanks to research over the past decade, this concept has more formulized and more
technologically feasible. However, since control plane programmability came first, it has already been
successfully implemented in the real network and is beginning to pay off. Today, the data plane
programmability is evolving very rapidly to reach this level, attracting the attention of researchers and
developers: Designing data plane languages, application development on it, formulizing software switches
and architecture that can run data plane codes and the applications, increasing performance of software
switch, and so on. As the control plane and data plane become more open, many new innovations and
technologies are emerging, but some experts warn that consumers may be confused as to which of the many
technologies to choose. This is a testament to how much innovation is emerging in the network. This paper
outlines some emerging applications on the data plane and offers opportunities for further improvement
and optimization. Our observations show that most of the implementations are done in a test environment
and have not been tested well enough in terms of performance, but there are many interesting works, for
example, previous control plane solutions are being implemented in the data plane.
NETWORK TRAFFIC ANALYSIS: HADOOP PIG VS TYPICAL MAPREDUCEcscpconf
Big data analysis has become much popular in the present day scenario and the manipulation of big data has gained the keen attention of researchers in the field of data analytics. Analysis of
big data is currently considered as an integral part of many computational and statistical departments. As a result, novel approaches in data analysis are evolving on a daily basis.
Thousands of transaction requests are handled and processed every day by different websites associated with e-commerce, e-banking, e-shopping carts etc. The network traffic and weblog
analysis comes to play a crucial role in such situations where Hadoop can be suggested as an efficient solution for processing the Netflow data collected from switches as well as website
access-logs during fixed intervals.
Use C++ and Intel® Threading Building Blocks (Intel® TBB) for Hardware Progra...Intel® Software
In this presentation, we focus on an alternative approach that uses nodes that contain Intel® Xeon® processors and Intel® Xeon Phi™ coprocessors. Programming models and the development tools are identical for these resources, greatly simplifying development. We discuss how the same models for vectorization and threading can be used across these compute resources to create software that performs well on them. We further propose an extension to the Intel® Threading Building Blocks (Intel® TBB) flow graph interface that enables intra-node distributed memory programming, simplifying communication, and load balancing between the processors and coprocessors. Finally, we validate this approach by presenting a benchmark of a risk analysis implementation that achieves record-setting performance.
The subject of this study is to show the application of fuzzy logic in image processing with a brief introduction to fuzzy logic and digital image processing.
PHYSICAL COMPUTING WITH RGB LED OR MATRIX
Today we enter a topic in programming called
embedded computing with the internet; we code a
RGB LED light on a Arduino board with a breadboard
on which we switch off or on the light by a browser
on an android device with our own web server and
their COM or socket protocols too.
Introduction to HPC Programming Models - EUDAT Summer School (Stefano Markidi...EUDAT
Stefano will give an introduction to the most common and used programming models for performing parallel I/O on supercomputers. He will first give a broad overview of parallel APIs for programming I/O on supercomputers. He will then introduce MPI I/O, one of the most used programming interfaces for parallel I/O, presenting its basic concepts, providing programming examples and guidelines for achieving high performance I/O on supercomputers.
Visit: https://www.eudat.eu/eudat-summer-school
Programmable logic controller performance enhancement by field programmable g...ISA Interchange
PLC, the core element of modern automation systems, due to serial execution, exhibits limitations like slow speed and poor scan time. Improved PLC design using FPGA has been proposed based on parallel execution mechanism for enhancement of performance and flexibility. Modelsim as simulation platform and VHDL used to translate, integrate and implement the logic circuit in FPGA. Xilinx’s Spartan kit for implementation-testing and VB has been used for GUI development. Salient merits of the design include cost-effectiveness, miniaturization, user-friendliness, simplicity, along with lower power consumption, smaller scan time and higher speed. Various functionalities and applications like typical PLC and industrial alarm annunciator have been developed and successfully tested. Results of simulation, design and implementation have been reported.
Raspberry pi glossary of terms dictionary extendedWiseNaeem
The Extended Version of glossary of Necessary Terms that are used to discover Raspberry pi or Arduino Projects and their Related Content and terms, Which one would have know About the Projects
Node-RED and Minecraft - CamJam September 2015Boris Adryan
This workshop uses the Node-RED framework as development tool for JavaScript. Building on functionality available for generic programming challenges, we’re going to use the communication standard TCP (Transmission Control Protocol) to interact with the Minecraft API (Application Programming Interface). The material is aimed at people who have had first experience with the Minecraft API on a Raspberry Pi (say, using Python), who now want to understand what's going on behind the scenes and what TCP, API and all those other acronyms mean. It also introduces flow-based programming concepts.
The Arduino is what is known as a Physical or Embedded Computing platform, which means that it is an interactive system that through the use of hardware, firmware and software can interact with its environment.
Step by Step tutorial on the implementation of FreeRTOS on AVNET MiniZED Board. This board is powered by a Xilinx Zynq FPGA (7007S).
This manual uses Xilinx Vitis Environment.
Debugging IoT Sensor Interfaces (SPI) with Digilent Analog Discovery 2Vincent Claes
Tutorial on how to debug a SPI Peripheral with the Digilent Analog Discovery 2.
We create a SPI Master with the Discovery and use an Olimex MOD-LED8x8RGB Matrix as device under test.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Welocme to ViralQR, your best QR code generator.ViralQR
Welcome to ViralQR, your best QR code generator available on the market!
At ViralQR, we design static and dynamic QR codes. Our mission is to make business operations easier and customer engagement more powerful through the use of QR technology. Be it a small-scale business or a huge enterprise, our easy-to-use platform provides multiple choices that can be tailored according to your company's branding and marketing strategies.
Our Vision
We are here to make the process of creating QR codes easy and smooth, thus enhancing customer interaction and making business more fluid. We very strongly believe in the ability of QR codes to change the world for businesses in their interaction with customers and are set on making that technology accessible and usable far and wide.
Our Achievements
Ever since its inception, we have successfully served many clients by offering QR codes in their marketing, service delivery, and collection of feedback across various industries. Our platform has been recognized for its ease of use and amazing features, which helped a business to make QR codes.
Our Services
At ViralQR, here is a comprehensive suite of services that caters to your very needs:
Static QR Codes: Create free static QR codes. These QR codes are able to store significant information such as URLs, vCards, plain text, emails and SMS, Wi-Fi credentials, and Bitcoin addresses.
Dynamic QR codes: These also have all the advanced features but are subscription-based. They can directly link to PDF files, images, micro-landing pages, social accounts, review forms, business pages, and applications. In addition, they can be branded with CTAs, frames, patterns, colors, and logos to enhance your branding.
Pricing and Packages
Additionally, there is a 14-day free offer to ViralQR, which is an exceptional opportunity for new users to take a feel of this platform. One can easily subscribe from there and experience the full dynamic of using QR codes. The subscription plans are not only meant for business; they are priced very flexibly so that literally every business could afford to benefit from our service.
Why choose us?
ViralQR will provide services for marketing, advertising, catering, retail, and the like. The QR codes can be posted on fliers, packaging, merchandise, and banners, as well as to substitute for cash and cards in a restaurant or coffee shop. With QR codes integrated into your business, improve customer engagement and streamline operations.
Comprehensive Analytics
Subscribers of ViralQR receive detailed analytics and tracking tools in light of having a view of the core values of QR code performance. Our analytics dashboard shows aggregate views and unique views, as well as detailed information about each impression, including time, device, browser, and estimated location by city and country.
So, thank you for choosing ViralQR; we have an offer of nothing but the best in terms of QR code services to meet business diversity!
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
👨🏫👨💻 Speakers:
Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Key Trends Shaping the Future of Infrastructure.pdf
Implementing an interface in r to communicate with programmable fabric in a xilinx zynq fpga
1. vincent@cteq.eu https://www.linkedin.com/in/vincentclaes/ 1
Abstract—R is a programming language for statistical
computing. It has many built in functions for statistical
calculations of large datasets and even more available libraries to
expand this functionality. R is however fundamentally single
threaded. As the size of the used datasets increases, so does the
processing time. This limits the use of R in real-time applications
with large amounts of data where statistical analysis is necessary.
By offloading intensive calculations to an FPGA with massive
parallel processing power these calculations can be sped up to
make R valid for real-time processing. This paper proposes a
simple way to send data from an application in R to the digital
logic in an FPGA and back. In this way applications like sensor
fusion systems, machine learning algorithms for “Internet-of-
things” applications can be realized in the future on this Xilinx
Zynq embedded systems platform. In this way intelligent IoT
Gateways could be realized.
Index Terms— R-project, R, FPGA, Statistical computing,
hardware acceleration, Xillybus, Xilinx, Zynq, zedboard, machine
learning, sensor fusion
I. INTRODUCTION
He last few years we have seen a massive increase in
interest in using FPGAs (Field Programmable Gate Arrays)
to offload difficult calculation from processors. By
leveraging custom digital logic with its parallel potential
processes, which are normally run solely on a processor, can be
sped up and power consumption decreased. At first sight,
combining software with digital logic seems like a daunting
task. Besides software design and digital logic design an
interface has to be created between the two. For these reasons
it is often avoided unless absolutely necessary. Fortunately
there exist tools to simplify this design process, especially the
interface between the application software and digital logic. To
illustrate this, this paper provides a solution to interface an
application written on R and running on a Linux host with
digital logic on an FPGA. With this interface hardware
acceleration for intensive calculations can be implemented on
the FPGA while the ease of use and native support for statistical
computing of R is retained.
II. TOOLS AND SOFTWARE
A zedboard was used as development board. It is a board with
T. Nulens is a student at Hasselt University, Faculty of Engineering
Technology, Diepenbeek, Belgium. E-mail: tom.nulens@student.uhasselt.be.
a Xilinx Zynq system-on-chip and various inputs and outputs
like USB, VGA and much more. The Zynq system-on-chip
consists of a 32bit ARM dual core processor and a large amount
of programmable logic.
Figure 1 Top and bottom view of the zedboard
The application software runs on the processor and
communicates with the programmable logic as required. A
special distribution of Ubuntu, named Xillinux, is installed on
the processor. Xillinux is a version of Ubuntu LTS 12.04 for
ARM with Xillybus drivers preinstalled. The operating system
runs from a SD card which acts as hard drive for the zedboard.
Finally, R version 3.1.2 was installed. Since Xillybus is already
supported on this device, it’s the obvious choice to use as
interface between the processor and digital logic. Xillybus takes
care of both the digital logic implementation and the software
drivers for the interface. It also works with both AXI (Advanced
eXtensible Interface) and PCIe (Peripheral Component
Interconnect Express) which makes it possible to transfer the
application on the Zynq system-on-chip to a full desktop
without worrying about those interfaces.
III. XILLYBUS
Xillybus is a combination of an IP core for the FPGA as well as
a driver for the operating system on the processor. Together it
allows a simple interface between the digital logic and the
application software. The IP core implements the digital logic
required to send and receive data from the processor with First
In First Out shift (FIFO) registers. It provides the signals to
drive FIFO registers, signals like clock and write enable. These
signals must then be used to drive a user-defined FIFO in the
implementation. The Xillybus IP core then connects to a PCIe
V. Claes is the owner of cteq.eu vincent@cteq.eu
https://www.linkedin.com/in/vincentclaes/
Implementing an interface in R to communicate
with Programmable Fabric in a Xilinx ZYNQ
FPGA
Vincent Claes, Tom Nulens [Project realized in 2015]
T
2. vincent@cteq.eu https://www.linkedin.com/in/vincentclaes/ 2
interface IP core or AXI (Advanced eXtensible Interface) IP
core, depending on the platform. In the Zynq chip, AXI is used
to connect the digital logic to the processor. The IP core is
generated at the IP factory web interface on the website of
Xillybus. Specifications such as bandwidth, data width and data
direction are defined here. Afterwards the IP core is generated
and available for download. The bandwidth on an AXI interface
is limited to 200 Mbytes/s.
Figure 2 FPGA block diagram with the Xillybus IP core and a PCIe
interface
On the processor side the Xillybus driver allows read and write
operations through a standard input/output file-interface. A data
connection is opened between the application software and
digital logic by simply opening a file defined by the Xillybus
driver and writing to or reading from that file.
Figure 3 Processor host interface block diagram
IV. INTERFACE BETWEEN R AND XILLYBUS
A. Problems with interfacing R with Xillybus
In the previous paragraph I noted that to write to or read from
the FPGA a standard file IO system is everything that is
required. Although R has this functionality, reading or writing
in native R is not very efficient for real-time applications for
two reasons: First, an R application is single threaded. This
means that when transferring data back and forth between the
processor and FPGA, no other calculation can be performed by
the processor. With large datasets a significant amount of time
would be lost due to this data transferring. By doing the reading
and writing in background threads the host application can
continue with different calculations regardless of what is
happening in the digital logic. There are some solutions for
parallelism in R, they are however aimed at dividing
calculations over multiple cores instead of doing different tasks
concurrently. Second, as a high level programming language,
datatype manipulation is less transparent than it is in languages
like C. Depending on the digital logic you have designed, the
interface will expect anything ranging from 32bit doubles to
8bit unsigned integers. For this reason it is advantageous to use
a language with explicit datatypes.
B. Proposed solution
By using the R library Rcpp, C++ functions and classes can be
called from R. Rcpp provides a C++ header file with the
definition for an R object. This object along with a short
wrapper allows Rcpp to compile custom C++ classes and
functions that can directly take R objects as argument and return
them too. C++ can then be used to prepare data from R to write
to the FPGA or to read data from the FPGA before returning it
to R. By combining this with the C++ library thread.h read and
write functionality can be given separate threads from the main
R thread. The Xillybus programming guide proposes the
following diagram for an implementation of hardware
acceleration:
Figure 4 Host-FPGA interface with Thread A as writer and Thread B
as reader. Main thread not pictured
In the main thread two threads are started, one to write data to
the FPGA and one to read the calculated results. These two
threads run continuously in the background while different
calculations can still be performed in the main thread. A
continues data flow is possible in this implementation provided
enough data is fed into the write thread to make use of the full
bandwidth. The write thread takes care of the translation of the
R objects to the datatypes the digital logic expects while the
read thread takes care of the reverse.
C. Implementation
First use the Xillybus IP factory to generate an IP core with
separate downstream and upstream device files and implement
this IP core in the FPGA design.
Figure 5 Configuration of an upstream and downstream device file in
the Xillybus IP factory
Afterwards a regular C++ class can be written to open those two
device files to read and write from separate threads. Make sure
to use the R objects defined by the Rcpp header file as
arguments and return values for the methods in this class. The
R wrapper is defined separately from the class definition but it
is placed in the same source file.
3. vincent@cteq.eu https://www.linkedin.com/in/vincentclaes/ 3
Figure 6 Example of the R wrapper for a C++ class called ‘Manager’
In the wrapper definition the chosen class is given along with
the names for all the exposed methods as well as function
pointers to the corresponding methods in their C++ class. This
source file is then ready to be compiled through Rcpp with the
command: sourceCpp(“/path/class.cpp”). At that point the class
is ready to be used in R. The following R script illustrates the
implementation of the interface.
Figure 7 R script with FPGA interface. Green are comments, red are
the outputs
In the above script a loopback is implemented in the FPGA. The
Class Manager was written in C++. The object u is an instance
of Manager.
V. CONCLUSION
An interface between an R application and an FPGA has been
made. The processor and FPGA reside on the same system-on-
chip and are connected by AXI. By using Xillybus the
complexity on the software side that comes from AXI is
completely removed. The Xillybus driver also works regardless
of whether the interface is AXI or PCIe which means that the
whole application can be moved to a desktop computer with an
FPGA board connected on a PCIe slot in case this becomes
desirable. On the FPGA side the IP core governs the interface
and requires only a read and write FIFO in the user logic. The
complexity of AXI or PCIe on the FPGA is reduced to
connecting the right signals from the Xillybus IP core to the
fitting Xilinx or Altera IP core. This interface is therefore ideal
for rapid prototyping.
VI. ACKNOWLEDGEMENT
This project was realized for cteq.eu [http://www.cteq.eu] with
support from Hasselt University. I would like to thank V. Claes
for technical support.
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