While developing Total War*: THREE KINGDOMS, Creative Assembly* collaborated with Intel to get the most out of modern, multicore processors. Join us as team members share their tips and tricks for achieving great performance on the latest integrated GPUs.
The .NET Framework provides several threading locking primitives. The Reader Writer Solution is one of them.
The Reader Writer Solution class is used to synchronize access to a resource. At any given time, it allows concurrent read access to multiple (essentially unlimited) threads, or it allows write access for a single thread. In situations where a resource is read frequently but updated infrequently, a Reader Writer Solution will provide much better throughput than the exclusive Monitor lock.
Course: Operating System
Explains the synchronization concept
Explains the reader ,writer problem
Explains the concept of semaphores
Explains the concept of monitors
Solution using semaphores and monitors
The .NET Framework provides several threading locking primitives. The Reader Writer Solution is one of them.
The Reader Writer Solution class is used to synchronize access to a resource. At any given time, it allows concurrent read access to multiple (essentially unlimited) threads, or it allows write access for a single thread. In situations where a resource is read frequently but updated infrequently, a Reader Writer Solution will provide much better throughput than the exclusive Monitor lock.
Course: Operating System
Explains the synchronization concept
Explains the reader ,writer problem
Explains the concept of semaphores
Explains the concept of monitors
Solution using semaphores and monitors
1-Information sharing
2-Computation speedup
3-Modularity
4-Convenience
5-allows exchanged data and informations
Two IPC Models
1. Shared memory- is an OS provided abstraction which allows a memory region to be simultaneously accessed by multiple programs with an intent to provide communication among them. One process will create an area in RAM which other processes can accessed
2. Message passing - is a form of communication used in interprocess communication. Communication is made by the sending of messages to recipients. Each process should be able to name the other processes. The producer typically uses send() system call to send messages, and the consumer uses receive()system call to receive messages
Shared memory
Faster than message passing
After establishing shared memory, treated as routine memory accesses
Message passing
Useful for exchanging smaller amounts of data
Easy to implement, but more time-consuming task of kernel intervention
Bounded-Buffer Problem Producer Process
do {
...
produce an item in nextp
...
wait(empty);
wait(mutex);
...
add nextp to buffer
...
signal(mutex);
signal(full);
} while (true);
Bounded-Buffer Problem Consumer Process
do {
wait(full);
wait(mutex);
...
remove an item from buffer to nextc
...
signal(mutex);
signal(empty);
...
consume the item in nextc
...
} while (true);
client-server model, the client sends out requests to the server, and the server does some processing with the request(s) received, and returns a reply (or replies)to the client.
Since Socket can be described as end-points for communication. we could imagine the client and server hosts being connected by a pipe through which data-flow takes place.
1-sockets use a client-server while Server waits for incoming client requests by listening to a specified port.
2-After receiving a request, the server accepts a connection from the client socket to complete the connection
3-then Remote procedure call (RPC) abstracts procedure call mechanism for use between systems with network connections
4-and pipes acts as a conduit allowing two processes to communicate
A process is different than a program
- Program is static code and static data
- Process is Dynamic instance of code and data
-Program becomes process when executable file loaded into memory
No one-to-one mapping between programs and processes
-can have multiple processes of the same program
-one program can invoke multiple process
Execution of program started via GUI mouse clicks and command line entry of its name
The process state transition
As a process executes, The process is being created, then The process is waiting to be assigned to a processor therefore, Instructions are being executed then The process is waiting for some event to occur,thereafter The process has finished exec ...
Programming Languages Implementation and Design. .docxaryan532920
/**
* Programming Languages: Implementation and Design.
*
* A Simple Compiler Adapted from Sebesta (2010) by Josh Dehlinger further modified by Adam Conover
* (2012-2015)
*
* A simple compiler used for the simple English grammar in Section 2.2 of Adam Brooks Weber's
* "Modern Programming Languages" book. Parts of this code was adapted from Robert Sebesta's
* "Concepts of Programming Languages".
*
* This compiler assumes that the source file containing the sentences to parse is provided as the
* first runtime argument. Within the source file, the compiler assumes that each sentence to parse
* is provided on its own line.
*
* NOTE: A "real" compiler would more likely treat an entire file as a single stream of input,
* rather than each line being an independent input stream.
*/
import java.io.BufferedReader;
import java.io.FileReader;
import java.io.IOException;
public class Compiler {
/**
* It is assumed that the first argument provided is the name of the source file that is to be
* "compiled".
*/
public static void main(String[] args) throws IOException {
//args = new String[]{"<some hard coded path for testing>"};
//args = new String[]{"D:\\Version_Controlled\\_SVN_\\Newton\\COS420\\Java\\ParserSample\\input.txt"};
if (args.length < 1) {
System.out.println("Need a filename!");
} else {
// Java 7 "try-with-resource" to create the file input buffer.
try (BufferedReader br = new BufferedReader(new FileReader(args[0]))) {
// Create the new lexer.
LexicalAnalyzer lexer = new LexicalAnalyzer();
// Start lexing and parsing.
processFile(lexer, br);
}
}
}
/**
* Reads each line of the input file and invokes the lexer and parser for each.
*/
static void processFile(LexicalAnalyzer lexer, BufferedReader br) throws IOException {
String sourceLine;
// Read each line in the source file to be compiled as a unique sentence
// to check against the grammar.
while ((sourceLine = br.readLine()) != null) {
// Ignore empty lines and comments.
if (sourceLine.trim().length() <= 0) {
continue;
}
if (sourceLine.trim().startsWith("#")) {
System.out.println("Comment: " + sourceLine.substring(1).trim());
continue;
}
// Create a new syntax analyzer over the provided lexer.
SyntaxAnalyzer parser = new SyntaxAnalyzer(lexer);
// Parse the given sentence against the given grammar. We assume that the
// sentence, <S>, production is the start state.
try {
// Start the lexer...
lexer.start(sourceLine);
// Start the parser...
parser ...
I am Anne L. I am an Operating System Assignment Expert at programminghomeworkhelp.com. I hold a Ph.D. in Programming, Auburn University, USA. I have been helping students with their homework for the past 8 years. I solve assignments related to Operating systems.
Visit programminghomeworkhelp.com or email support@programminghomeworkhelp.com.
You can also call on +1 678 648 4277 for any assistance with Operating System Assignments.
import java.io.BufferedReader;
import java.io.BufferedWriter;
import java.io.FileReader;
import java.io.FileWriter;
import java.io.IOException;
import java.io.PrintWriter;
import java.util.StringTokenizer;
/**
* Read a .dat file and reverse it.
* CPS 350
*/
public class Reverse {
public static void main(String[]args) {
if (args.length != 3) {
System.err.println(" Incorrect number of arguments");
System.err.println(" Usage: ");
System.err.
println("\tjava Reverse <stack type> <input file> <output file>");
System.exit(1);
}
boolean useList = true;
if (args[0].compareTo("list")==0)
useList = true;
else if (args[0].compareTo("array")==0)
useList = false;
else {
System.err.println("\tSaw "+args[0]+" instead of list or array as first argument");
System.exit(1);
}
try {
//
// Set up the input file to read, and the output file to write to
//
BufferedReader fileIn =
new BufferedReader(new FileReader(args[1]));
PrintWriter fileOut =
new PrintWriter(new
BufferedWriter(new FileWriter(args[2])));
//
// Read the first line of the .dat file to get sample rate.
// We want to store the sample rate value in a variable,
// but we can ignore the "; Sample Rate" part of the line.
// Step through the first line one token (word) at a time
// using the StringTokenizer. The fourth token is the one
// we want (the sample rate).
//
StringTokenizer str;
String oneLine;
int sampleRate;
String strJunk;
oneLine = fileIn.readLine();
str = new StringTokenizer(oneLine);
strJunk = str.nextToken(); // Read in semicolon
strJunk = str.nextToken(); // Read in "Sample"
strJunk = str.nextToken(); // Read in "Rate"
// Read in sample rate
sampleRate = Integer.parseInt(str.nextToken());
//
// Read in the remainder of the file on line at a time.
// The values in the first column are thrown away.
// Place values from the second column on the stack.
// Stop reading if we reach the end of the file.
//
DStack s;
if (useList)
s = new ListStack();
else
s = new ArrayStack();
String timestep;
double data;
int count = 0;
while ((oneLine = fileIn.readLine()) != null) {
if (oneLine.charAt(0) == ';') {
continue;
}
str = new StringTokenizer(oneLine);
// Read in time step value from first col.
Article link httpiveybusinessjournal.compublicationmanaging-.docxfredharris32
Article link: http://iveybusinessjournal.com/publication/managing-global-risk-to-seize-competitive-advantage/
Requirements: Write one summary and study note both no longer than one pages should include all point of article. Then do a PPT and write a presenting paper only for 5 minutes.
Groups of students will create and offer two MS PowerPoint presentation summarizing the main points of one of the readings for this course along with a one page handout for the students in the class. The aim of the presentations and the handouts is to provide the audience with the main ideas of the article and study notes. Groups will bring to class enough copies of the handout for each student in the class. The handout should list the name of the author, the title of the article, the title of the journal, and the publication date and page numbers along with a summary of its main points. Please do not exceed one page for this material.
import java.io.BufferedReader;
import java.io.BufferedWriter;
import java.io.FileReader;
import java.io.FileWriter;
import java.io.IOException;
import java.io.PrintWriter;
import java.util.StringTokenizer;
/**
* Read a .dat file and reverse it.
*/
public class Reverse {
public static void main(String[]args) {
if (args.length != 3) {
System.err.println(" Incorrect number of arguments");
System.err.println(" Usage: ");
System.err.
println("\tjava Reverse <stack type> <input file> <output file>");
System.exit(1);
}
boolean useList = true;
if (args[0].compareTo("list")==0)
useList = true;
else if (args[0].compareTo("array")==0)
useList = false;
else {
System.err.println("\tSaw "+args[0]+" instead of list or array as first argument");
System.exit(1);
}
try {
//
// Set up the input file to read, and the output file to write to
//
BufferedReader fileIn =
new BufferedReader(new FileReader(args[1]));
PrintWriter fileOut =
new PrintWriter(new
BufferedWriter(new FileWriter(args[2])));
//
// Read the first line of the .dat file to get sample rate.
// We want to store the sample rate value in a variable,
// but we can ignore the "; Sample Rate" part of the line.
// Step through the first line one token (word) at a time
// using the StringTokenizer. The fourth token is the one
// we want (the sample rate).
//
StringTokenizer str;
String oneLine;
int sampleRate;
String strJunk;
oneLine = fileIn.readLine();
str = new StringTokenizer(oneLine);
strJunk = str.nextToken(); // Read in semicolon
strJunk = str.nextToken(); // Read in "Sample"
strJunk = str.nextToken(); // Read in "Rate"
// ...
It shows the implementation of an Indy Server which communicates with a client over TCP and Sockets. I made it script able to demonstrate the fascination of 2 boxes communicate with each other at the same time.
AI for All: Biology is eating the world & AI is eating Biology Intel® Software
Advances in cell biology and creation of an immense amount of data are converging with advances in Machine learning to analyze this data. Biology is experiencing its AI moment and driving the massive computation involved in understanding biological mechanisms and driving interventions. Learn about how cutting edge technologies such as Software Guard Extensions (SGX) in the latest Intel Xeon Processors and Open Federated Learning (OpenFL), an open framework for federated learning developed by Intel, are helping advance AI in gene therapy, drug design, disease identification and more.
Python Data Science and Machine Learning at Scale with Intel and AnacondaIntel® Software
Python is the number 1 language for data scientists, and Anaconda is the most popular python platform. Intel and Anaconda have partnered to bring scalability and near-native performance to Python with simple installations. Learn how data scientists can now access oneAPI-optimized Python packages such as NumPy, Scikit-Learn, Modin, Pandas, and XGBoost directly from the Anaconda repository through simple installation and minimal code changes.
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1-Information sharing
2-Computation speedup
3-Modularity
4-Convenience
5-allows exchanged data and informations
Two IPC Models
1. Shared memory- is an OS provided abstraction which allows a memory region to be simultaneously accessed by multiple programs with an intent to provide communication among them. One process will create an area in RAM which other processes can accessed
2. Message passing - is a form of communication used in interprocess communication. Communication is made by the sending of messages to recipients. Each process should be able to name the other processes. The producer typically uses send() system call to send messages, and the consumer uses receive()system call to receive messages
Shared memory
Faster than message passing
After establishing shared memory, treated as routine memory accesses
Message passing
Useful for exchanging smaller amounts of data
Easy to implement, but more time-consuming task of kernel intervention
Bounded-Buffer Problem Producer Process
do {
...
produce an item in nextp
...
wait(empty);
wait(mutex);
...
add nextp to buffer
...
signal(mutex);
signal(full);
} while (true);
Bounded-Buffer Problem Consumer Process
do {
wait(full);
wait(mutex);
...
remove an item from buffer to nextc
...
signal(mutex);
signal(empty);
...
consume the item in nextc
...
} while (true);
client-server model, the client sends out requests to the server, and the server does some processing with the request(s) received, and returns a reply (or replies)to the client.
Since Socket can be described as end-points for communication. we could imagine the client and server hosts being connected by a pipe through which data-flow takes place.
1-sockets use a client-server while Server waits for incoming client requests by listening to a specified port.
2-After receiving a request, the server accepts a connection from the client socket to complete the connection
3-then Remote procedure call (RPC) abstracts procedure call mechanism for use between systems with network connections
4-and pipes acts as a conduit allowing two processes to communicate
A process is different than a program
- Program is static code and static data
- Process is Dynamic instance of code and data
-Program becomes process when executable file loaded into memory
No one-to-one mapping between programs and processes
-can have multiple processes of the same program
-one program can invoke multiple process
Execution of program started via GUI mouse clicks and command line entry of its name
The process state transition
As a process executes, The process is being created, then The process is waiting to be assigned to a processor therefore, Instructions are being executed then The process is waiting for some event to occur,thereafter The process has finished exec ...
Programming Languages Implementation and Design. .docxaryan532920
/**
* Programming Languages: Implementation and Design.
*
* A Simple Compiler Adapted from Sebesta (2010) by Josh Dehlinger further modified by Adam Conover
* (2012-2015)
*
* A simple compiler used for the simple English grammar in Section 2.2 of Adam Brooks Weber's
* "Modern Programming Languages" book. Parts of this code was adapted from Robert Sebesta's
* "Concepts of Programming Languages".
*
* This compiler assumes that the source file containing the sentences to parse is provided as the
* first runtime argument. Within the source file, the compiler assumes that each sentence to parse
* is provided on its own line.
*
* NOTE: A "real" compiler would more likely treat an entire file as a single stream of input,
* rather than each line being an independent input stream.
*/
import java.io.BufferedReader;
import java.io.FileReader;
import java.io.IOException;
public class Compiler {
/**
* It is assumed that the first argument provided is the name of the source file that is to be
* "compiled".
*/
public static void main(String[] args) throws IOException {
//args = new String[]{"<some hard coded path for testing>"};
//args = new String[]{"D:\\Version_Controlled\\_SVN_\\Newton\\COS420\\Java\\ParserSample\\input.txt"};
if (args.length < 1) {
System.out.println("Need a filename!");
} else {
// Java 7 "try-with-resource" to create the file input buffer.
try (BufferedReader br = new BufferedReader(new FileReader(args[0]))) {
// Create the new lexer.
LexicalAnalyzer lexer = new LexicalAnalyzer();
// Start lexing and parsing.
processFile(lexer, br);
}
}
}
/**
* Reads each line of the input file and invokes the lexer and parser for each.
*/
static void processFile(LexicalAnalyzer lexer, BufferedReader br) throws IOException {
String sourceLine;
// Read each line in the source file to be compiled as a unique sentence
// to check against the grammar.
while ((sourceLine = br.readLine()) != null) {
// Ignore empty lines and comments.
if (sourceLine.trim().length() <= 0) {
continue;
}
if (sourceLine.trim().startsWith("#")) {
System.out.println("Comment: " + sourceLine.substring(1).trim());
continue;
}
// Create a new syntax analyzer over the provided lexer.
SyntaxAnalyzer parser = new SyntaxAnalyzer(lexer);
// Parse the given sentence against the given grammar. We assume that the
// sentence, <S>, production is the start state.
try {
// Start the lexer...
lexer.start(sourceLine);
// Start the parser...
parser ...
I am Anne L. I am an Operating System Assignment Expert at programminghomeworkhelp.com. I hold a Ph.D. in Programming, Auburn University, USA. I have been helping students with their homework for the past 8 years. I solve assignments related to Operating systems.
Visit programminghomeworkhelp.com or email support@programminghomeworkhelp.com.
You can also call on +1 678 648 4277 for any assistance with Operating System Assignments.
import java.io.BufferedReader;
import java.io.BufferedWriter;
import java.io.FileReader;
import java.io.FileWriter;
import java.io.IOException;
import java.io.PrintWriter;
import java.util.StringTokenizer;
/**
* Read a .dat file and reverse it.
* CPS 350
*/
public class Reverse {
public static void main(String[]args) {
if (args.length != 3) {
System.err.println(" Incorrect number of arguments");
System.err.println(" Usage: ");
System.err.
println("\tjava Reverse <stack type> <input file> <output file>");
System.exit(1);
}
boolean useList = true;
if (args[0].compareTo("list")==0)
useList = true;
else if (args[0].compareTo("array")==0)
useList = false;
else {
System.err.println("\tSaw "+args[0]+" instead of list or array as first argument");
System.exit(1);
}
try {
//
// Set up the input file to read, and the output file to write to
//
BufferedReader fileIn =
new BufferedReader(new FileReader(args[1]));
PrintWriter fileOut =
new PrintWriter(new
BufferedWriter(new FileWriter(args[2])));
//
// Read the first line of the .dat file to get sample rate.
// We want to store the sample rate value in a variable,
// but we can ignore the "; Sample Rate" part of the line.
// Step through the first line one token (word) at a time
// using the StringTokenizer. The fourth token is the one
// we want (the sample rate).
//
StringTokenizer str;
String oneLine;
int sampleRate;
String strJunk;
oneLine = fileIn.readLine();
str = new StringTokenizer(oneLine);
strJunk = str.nextToken(); // Read in semicolon
strJunk = str.nextToken(); // Read in "Sample"
strJunk = str.nextToken(); // Read in "Rate"
// Read in sample rate
sampleRate = Integer.parseInt(str.nextToken());
//
// Read in the remainder of the file on line at a time.
// The values in the first column are thrown away.
// Place values from the second column on the stack.
// Stop reading if we reach the end of the file.
//
DStack s;
if (useList)
s = new ListStack();
else
s = new ArrayStack();
String timestep;
double data;
int count = 0;
while ((oneLine = fileIn.readLine()) != null) {
if (oneLine.charAt(0) == ';') {
continue;
}
str = new StringTokenizer(oneLine);
// Read in time step value from first col.
Article link httpiveybusinessjournal.compublicationmanaging-.docxfredharris32
Article link: http://iveybusinessjournal.com/publication/managing-global-risk-to-seize-competitive-advantage/
Requirements: Write one summary and study note both no longer than one pages should include all point of article. Then do a PPT and write a presenting paper only for 5 minutes.
Groups of students will create and offer two MS PowerPoint presentation summarizing the main points of one of the readings for this course along with a one page handout for the students in the class. The aim of the presentations and the handouts is to provide the audience with the main ideas of the article and study notes. Groups will bring to class enough copies of the handout for each student in the class. The handout should list the name of the author, the title of the article, the title of the journal, and the publication date and page numbers along with a summary of its main points. Please do not exceed one page for this material.
import java.io.BufferedReader;
import java.io.BufferedWriter;
import java.io.FileReader;
import java.io.FileWriter;
import java.io.IOException;
import java.io.PrintWriter;
import java.util.StringTokenizer;
/**
* Read a .dat file and reverse it.
*/
public class Reverse {
public static void main(String[]args) {
if (args.length != 3) {
System.err.println(" Incorrect number of arguments");
System.err.println(" Usage: ");
System.err.
println("\tjava Reverse <stack type> <input file> <output file>");
System.exit(1);
}
boolean useList = true;
if (args[0].compareTo("list")==0)
useList = true;
else if (args[0].compareTo("array")==0)
useList = false;
else {
System.err.println("\tSaw "+args[0]+" instead of list or array as first argument");
System.exit(1);
}
try {
//
// Set up the input file to read, and the output file to write to
//
BufferedReader fileIn =
new BufferedReader(new FileReader(args[1]));
PrintWriter fileOut =
new PrintWriter(new
BufferedWriter(new FileWriter(args[2])));
//
// Read the first line of the .dat file to get sample rate.
// We want to store the sample rate value in a variable,
// but we can ignore the "; Sample Rate" part of the line.
// Step through the first line one token (word) at a time
// using the StringTokenizer. The fourth token is the one
// we want (the sample rate).
//
StringTokenizer str;
String oneLine;
int sampleRate;
String strJunk;
oneLine = fileIn.readLine();
str = new StringTokenizer(oneLine);
strJunk = str.nextToken(); // Read in semicolon
strJunk = str.nextToken(); // Read in "Sample"
strJunk = str.nextToken(); // Read in "Rate"
// ...
It shows the implementation of an Indy Server which communicates with a client over TCP and Sockets. I made it script able to demonstrate the fascination of 2 boxes communicate with each other at the same time.
AI for All: Biology is eating the world & AI is eating Biology Intel® Software
Advances in cell biology and creation of an immense amount of data are converging with advances in Machine learning to analyze this data. Biology is experiencing its AI moment and driving the massive computation involved in understanding biological mechanisms and driving interventions. Learn about how cutting edge technologies such as Software Guard Extensions (SGX) in the latest Intel Xeon Processors and Open Federated Learning (OpenFL), an open framework for federated learning developed by Intel, are helping advance AI in gene therapy, drug design, disease identification and more.
Python Data Science and Machine Learning at Scale with Intel and AnacondaIntel® Software
Python is the number 1 language for data scientists, and Anaconda is the most popular python platform. Intel and Anaconda have partnered to bring scalability and near-native performance to Python with simple installations. Learn how data scientists can now access oneAPI-optimized Python packages such as NumPy, Scikit-Learn, Modin, Pandas, and XGBoost directly from the Anaconda repository through simple installation and minimal code changes.
Streamline End-to-End AI Pipelines with Intel, Databricks, and OmniSciIntel® Software
Preprocess, visualize, and Build AI Faster at-Scale on Intel Architecture. Develop end-to-end AI pipelines for inferencing including data ingestion, preprocessing, and model inferencing with tabular, NLP, RecSys, video and image using Intel oneAPI AI Analytics Toolkit and other optimized libraries. Build at-scale performant pipelines with Databricks and end-to-end Xeon optimizations. Learn how to visualize with the OmniSci Immerse Platform and experience a live demonstration of the Intel Distribution of Modin and OmniSci.
AI for good: Scaling AI in science, healthcare, and more.Intel® Software
How do we scale AI to its full potential to enrich the lives of everyone on earth? Learn about AI hardware and software acceleration and how Intel AI technologies are being used to solve critical problems in high energy physics, cancer research, financial inclusion, and more. Get started on your AI Developer Journey @ software.intel.com/ai
Software AI Accelerators: The Next Frontier | Software for AI Optimization Su...Intel® Software
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Advanced Techniques to Accelerate Model Tuning | Software for AI Optimization...Intel® Software
Learn about the algorithms and associated implementations that power SigOpt, a platform for efficiently conducting model development and hyperparameter optimization. Get started on your AI Developer Journey @ software.intel.com/ai.
Reducing Deep Learning Integration Costs and Maximizing Compute Efficiency| S...Intel® Software
oneDNN Graph API extends oneDNN with a graph interface which reduces deep learning integration costs and maximizes compute efficiency across a variety of AI hardware including AI accelerators. Get started on your AI Developer Journey @ software.intel.com/ai.
AWS & Intel Webinar Series - Accelerating AI ResearchIntel® Software
Scale your research workloads faster with Intel on AWS. Learn how the performance and productivity of Intel Hardware and Software help bridge the gap between ideation and results in Data Science. Get started on your AI Developer Journey @ software.intel.com/ai.
Whether you are an AI, HPC, IoT, Graphics, Networking or Media developer, visit the Intel Developer Zone today to access the latest software products, resources, training, and support. Test-drive the latest Intel hardware and software products on DevCloud, our online development sandbox, and use DevMesh, our online collaboration portal, to meet and work with other innovators and product leaders. Get started by joining the Intel Developer Community @ software.intel.com.
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Review state-of-the-art techniques that use neural networks to synthesize motion, such as mode-adaptive neural network and phase-functioned neural networks. See how next-generation CPUs with reinforcement learning can offer better performance.
RenderMan*: The Role of Open Shading Language (OSL) with Intel® Advanced Vect...Intel® Software
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Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
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.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
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.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
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/
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
33. Every single mesh has a number of instance lists.
One instance list per pipeline stage.
The instance is added to all the relevant instance lists.
34. The instance lists are duplicated to every worker thread to ensure lockless access.
35. And double buffered because while the render thread
is rendering the current frame, the main thread (and workers)
Is adding instances to the next frame’s instance lists.
36. We have one mesh list per mesh type.
Every mesh with at least a single instance in the frame
will get added to exactly one mesh list matching its mesh type.
37. Just like the instance lists we have one mesh list for every single worker thread.