This document describes revisions made to a document on shared objects and concurrent objects. It lists 6 revisions by Dr. C.V. Suresh Babu between 5/12/2013 and an edited version 2.0. It then provides sections on shared objects and synchronization, properties of mutual exclusion including the producer-consumer problem and readers-writers problem, realities of parallelization, mutual exclusion, thread solutions, bounded timestamps, concurrent objects, linearizability, and the Java memory model.
Introduction to concurrent programming that covers the importance of concurrent programming. Other topics include mutual exclusion, safety, liveliness, and efficiency.
Avoid race conditions, deadlocks, and starvation.
Introduction to interprocess communication issues like race conditions and critical regions. Solutions such as mutual exclusion with busy waiting, sleep and wakeup, Semaphores, mutexes, monitors, barriers, and message passing.
The document discusses two synchronization problems: the producer-consumer problem and the readers-writers problem. The producer-consumer problem involves processes that share a fixed-size buffer, with one process producing items and putting them in the buffer while another process consumes items from the buffer. The readers-writers problem involves multiple reader processes that only read shared data and writer processes that can read and write shared data, requiring synchronization to prevent writers from interfering with readers. Solutions to both problems using semaphores and monitors are presented.
Operating System Process SynchronizationHaziq Naeem
This document discusses synchronization between processes. It defines synchronization as the mutual understanding between two or more processes when sharing system resources. It describes critical section problems, solutions like locks, Peterson's solution, and semaphores. It also covers major synchronization problems like bounded buffer, reader-writer, and dining philosophers. Windows uses interrupts to protect shared resources while Linux uses semaphores. Synchronization is important for preventing deadlocks and data inconsistencies to improve efficiency.
This document discusses process synchronization and the classical producer-consumer problem. It begins with a recap of semaphores and an outline of topics to be covered, including process synchronization, synchronization hardware, mutex locks, and classical synchronization problems. It then explains process synchronization and gives examples. Next, it describes synchronization hardware and mutex locks. It introduces the producer-consumer problem and bounded buffer problem. Finally, it provides pseudocode to solve the producer-consumer problem using semaphores to control access to the shared buffer by the producer and consumer processes.
The document describes the producer-consumer problem where a producer produces items that are inserted into a shared buffer and a consumer removes items from the buffer. There must be careful synchronization between the producer and consumer so that the consumer does not try to remove an item from an empty buffer or the producer inserts into a full buffer. A typical solution uses a shared count variable and puts the producer or consumer to sleep if the buffer is full or empty, respectively, waking the other process up when it is possible for it to proceed.
Classical problems of process synchronizationsangrampatil81
The document discusses three classical problems of process synchronization:
1) The Producer-Consumer problem which is solved using semaphores to control access to a shared buffer between a producer and consumer.
2) The Readers-Writers problem where multiple processes can read a file but only one can write to prevent inconsistencies, solved using semaphores.
3) The Dining Philosophers problem where philosophers share chopsticks, which must be solved to prevent deadlock situations when all philosophers try to eat at once.
This document describes revisions made to a document on shared objects and concurrent objects. It lists 6 revisions by Dr. C.V. Suresh Babu between 5/12/2013 and an edited version 2.0. It then provides sections on shared objects and synchronization, properties of mutual exclusion including the producer-consumer problem and readers-writers problem, realities of parallelization, mutual exclusion, thread solutions, bounded timestamps, concurrent objects, linearizability, and the Java memory model.
Introduction to concurrent programming that covers the importance of concurrent programming. Other topics include mutual exclusion, safety, liveliness, and efficiency.
Avoid race conditions, deadlocks, and starvation.
Introduction to interprocess communication issues like race conditions and critical regions. Solutions such as mutual exclusion with busy waiting, sleep and wakeup, Semaphores, mutexes, monitors, barriers, and message passing.
The document discusses two synchronization problems: the producer-consumer problem and the readers-writers problem. The producer-consumer problem involves processes that share a fixed-size buffer, with one process producing items and putting them in the buffer while another process consumes items from the buffer. The readers-writers problem involves multiple reader processes that only read shared data and writer processes that can read and write shared data, requiring synchronization to prevent writers from interfering with readers. Solutions to both problems using semaphores and monitors are presented.
Operating System Process SynchronizationHaziq Naeem
This document discusses synchronization between processes. It defines synchronization as the mutual understanding between two or more processes when sharing system resources. It describes critical section problems, solutions like locks, Peterson's solution, and semaphores. It also covers major synchronization problems like bounded buffer, reader-writer, and dining philosophers. Windows uses interrupts to protect shared resources while Linux uses semaphores. Synchronization is important for preventing deadlocks and data inconsistencies to improve efficiency.
This document discusses process synchronization and the classical producer-consumer problem. It begins with a recap of semaphores and an outline of topics to be covered, including process synchronization, synchronization hardware, mutex locks, and classical synchronization problems. It then explains process synchronization and gives examples. Next, it describes synchronization hardware and mutex locks. It introduces the producer-consumer problem and bounded buffer problem. Finally, it provides pseudocode to solve the producer-consumer problem using semaphores to control access to the shared buffer by the producer and consumer processes.
The document describes the producer-consumer problem where a producer produces items that are inserted into a shared buffer and a consumer removes items from the buffer. There must be careful synchronization between the producer and consumer so that the consumer does not try to remove an item from an empty buffer or the producer inserts into a full buffer. A typical solution uses a shared count variable and puts the producer or consumer to sleep if the buffer is full or empty, respectively, waking the other process up when it is possible for it to proceed.
Classical problems of process synchronizationsangrampatil81
The document discusses three classical problems of process synchronization:
1) The Producer-Consumer problem which is solved using semaphores to control access to a shared buffer between a producer and consumer.
2) The Readers-Writers problem where multiple processes can read a file but only one can write to prevent inconsistencies, solved using semaphores.
3) The Dining Philosophers problem where philosophers share chopsticks, which must be solved to prevent deadlock situations when all philosophers try to eat at once.
1. The document summarizes a keynote presentation on whether Python is still production ready.
2. It discusses that Python has evolved significantly since its creation in 1990 to better support modern programming patterns like asynchronous programming.
3. It argues that Python can be considered "production ready" because it has a large community and ecosystem that helps reduce maintenance costs, libraries are well documented and tested, and the language continues to be improved while maintaining backwards compatibility.
The document discusses process synchronization and related concepts. It begins with an introduction to the critical section problem and solutions using both software and hardware approaches. Classical problems of synchronization are presented, such as the bounded-buffer, readers-writers, and dining philosophers problems. The concepts of semaphores, mutexes, and monitors are explained as synchronization mechanisms. Producer-consumer problems are used as examples to demonstrate solutions using counting and binary semaphores.
This document provides an overview of concurrency concepts including:
- The speaker discusses some basic JVM knowledge, concurrency concepts, and personal design suggestions.
- Key concurrency topics like reorder, happens-before relationships, volatile fields, and CopyOnWriteArrayList are summarized.
- Common concurrency patterns like producer-consumer, readers-writers, and dining philosophers problems are explained.
- The goal is to make developers aware of concurrency issues and provide resources to study the topic further.
This document discusses concurrency and multi-threading concepts. It introduces definitions of programs, processes and threads. It then discusses how to develop non-race multi-threaded applications and applications where threads access common resources. It covers monitors, waiting and notifying threads, and demonstrates solutions to producer-consumer and dining philosophers problems to synchronize access to shared resources and prevent deadlocks. The objectives are to understand how to build multi-threaded applications that coordinate thread access and activities.
The document provides an introduction to Apache Kafka and distributed streaming systems. It discusses what a stream is as an abstract data structure with append and read operations. Streams are described as the simplest way to manage data and are naturally compatible with how information is perceived. The document then discusses how Kafka brokers work with producers and consumers to provide a unified log that applications can use for business intelligence, notifications, indexing and more. It notes that while the technique has been regularly "forgotten", the need for a unified log arises quickly in applications that manage state.
This document discusses how Puppet fits into a production-ready container environment. It begins by explaining why containers are popular, as they solve issues like application dependency problems and allow flexibility in compute resources. It then describes what such an environment looks like from the perspectives of infrastructure, development, and security teams. Infrastructure teams focus on uptime, configuration, and continuous delivery processes. Development teams focus on application work and deployment. Security teams focus on code analysis and testing. The document explains how tools like Docker, Kubernetes, Puppet, and monitoring tools help meet the needs of these teams. It positions Puppet as helping "ship" applications by aiding in areas like Docker networking and Kubernetes configuration.
The document discusses a consumer proxy called Triage that was built to solve the problem of head-of-line blocking for Kafka consumers. It begins with an overview of the topics to be covered, including microservices, event-driven architecture, Apache Kafka, head-of-line blocking, existing solutions, and the design of Triage. It then provides background on microservices, events, message queues, and how Kafka works before explaining the two main causes of head-of-line blocking: poison pill messages that can't be processed and non-uniform consumer latency from some messages taking longer to process than others.
The document discusses three classic synchronization problems: the bounded buffer problem, dining philosophers problem, and readers-writers problem. For the bounded buffer problem, it describes the producer-consumer scenario and provides pseudocode for the producer and consumer using semaphores. For the dining philosophers problem, it outlines the scenario of philosophers sharing a limited number of chopsticks and presents a solution using semaphores. For the readers-writers problem, it describes the scenario of multiple readers and a single writer accessing a shared resource and provides pseudocode for readers and writers that uses semaphores and a lock to control access.
The document discusses classical problems of synchronization in operating systems. It describes three classical synchronization problems: the bounded buffer problem, dining philosophers problem, and readers-writers problem. For each problem, it provides details on the problem description, potential solutions using semaphores or mutex locks, and examples of producer/consumer and reader/writer code. It also discusses potential issues like race conditions that can arise in solutions and defines what constitutes a deadlock.
AppSec USA 2014 talk by Chris Swan "Implications & Opportunities at the Bleed...Cohesive Networks
AppSec USA 2014 from Cohesive CTO Chris Swan
"Implications & Opportunities at the Bleeding Edge of DevOps"
Ever Onward… as DevOps keeps evolving, this session will show you how the newest DevOps patterns and technologies (e.g. Docker) trends continue to change and morph the opportunities and risks for security. It’s more exciting than scary… once you get over the shock
This document summarizes key concepts from an advanced operating systems course, including:
1) Compare-and-swap instructions and queuing implementations for semaphores.
2) Classical synchronization problems like producers/consumers and readers/writers.
3) Issues with inter-process communication and synchronization using semaphores, monitors, and messages.
4) Conditions that can lead to deadlocks and different approaches for preventing deadlocks.
This document discusses the producer-consumer problem, which involves processes called producers that generate items and processes called consumers that use the generated items. Producers and consumers share a common buffer to exchange items. The key challenges are ensuring producers don't add items if the buffer is full and consumers don't remove items if the buffer is empty, while also preventing multiple processes from accessing the buffer simultaneously. The document presents a solution using semaphores to synchronize producer and consumer processes and control buffer access. It provides code examples for the producer and consumer processes that use semaphores to address the challenges in a way that maintains consistent, exclusive access to the shared buffer.
This document discusses various techniques for inter-process communication and synchronization between concurrent processes. It covers topics like mutual exclusion, semaphores, monitors, and classical synchronization problems. Mutual exclusion is required to prevent race conditions when accessing shared resources. Common solutions discussed are software algorithms, hardware support using test-and-set operations, and operating system semaphores. Monitors provide synchronization through condition variables. Message passing enables communication and synchronization between distributed processes.
This document provides an overview of kernel locking techniques in Linux and discusses common locking issues and solutions. It describes the two main types of kernel locks - spinlocks and semaphores. It discusses how to lock data shared between different execution contexts like user context, bottom halves, softirqs, and interrupts. Common locking patterns and techniques are presented, such as only allowing readers but not writers in interrupt context, avoiding deadlocks, using per-CPU data, and replacing locks with atomic operations when possible. The document serves as an introduction to reliable and unreliable locking approaches in the Linux kernel.
The Java Learning Kit Chapter 1 – Introduction Copyri.docxarnoldmeredith47041
This chapter introduces key concepts in computer science and programming. It discusses what a computer is made of, including the central processing unit and memory. Computer science is defined as the scientific study of computation and information systems. The chapter outlines the different roles that computer scientists and software engineers can take, such as developing operating systems, applications, or focusing on theoretical computer science. It also introduces algorithms and objects, and provides an overview of different programming languages throughout history. The chapter concludes by focusing on Java, covering its history and why it is commonly used today.
Speaker: Damien Gasparina, Engineer, Confluent
Here's how to fail at Apache Kafka brilliantly!
https://www.meetup.com/Paris-Data-Engineers/events/260694777/
The Beam Vision for Portability: "Write once run anywhere"Knoldus Inc.
This session is all about knowing a modern way to define and execute data processing pipelines with Apache Beam, an open-source unified programming model. we will talk about the Apache Beam vision and the benefits of the Beam Portability framework. The Beam Portability framework achieves the vision that a developer can use their favourite programming language with their preferred execution backend.
An approach to design from the middle out. Rather than starting at the beginning, what if you need to hit the ground running with a product that's already midway through development? Can you still address conceptual issues effectively? Can you still develop consistent standards? Developed while at Dubberly Design Office.
International Institute of technology (android)Nazih Heni
The document is a laboratory booklet for programming II experiments in Android development. It outlines 8 experiments to guide students in learning how to: 1) install and configure an Android development environment; 2) create an Android project; 3) build simple applications; 4) start new activities; 5) create databases; 6) build models; 7) connect to databases and create login pages; and 8) create controllers, friend lists, and messaging activities. The experiments are designed to teach students basic and advanced Android and Java programming skills through hands-on practice in creating an example messaging application.
Introduction to Machine Learning
Association Analysis
Supervised (inductive) learning
Training data includes desired outputs
Classification
Regression/Prediction
Unsupervised learning
Training data does not include desired outputs
Semi-supervised learning
Training data includes a few desired outputs
Reinforcement learning
Rewards from sequence of actions
Time Series Analysis and Forecasting in PracticeDilum Bandara
This document discusses time series analysis and forecasting. It covers the components of time series including trends, seasonality, cyclical patterns and irregular components. It then describes several approaches to forecasting including qualitative judgmental methods, statistical time series models and explanatory causal models. Specific statistical time series forecasting techniques are explained such as simple and exponential smoothing, linear regression models, and Holt-Winters seasonal models. The importance of evaluating forecast accuracy is also highlighted.
1. The document summarizes a keynote presentation on whether Python is still production ready.
2. It discusses that Python has evolved significantly since its creation in 1990 to better support modern programming patterns like asynchronous programming.
3. It argues that Python can be considered "production ready" because it has a large community and ecosystem that helps reduce maintenance costs, libraries are well documented and tested, and the language continues to be improved while maintaining backwards compatibility.
The document discusses process synchronization and related concepts. It begins with an introduction to the critical section problem and solutions using both software and hardware approaches. Classical problems of synchronization are presented, such as the bounded-buffer, readers-writers, and dining philosophers problems. The concepts of semaphores, mutexes, and monitors are explained as synchronization mechanisms. Producer-consumer problems are used as examples to demonstrate solutions using counting and binary semaphores.
This document provides an overview of concurrency concepts including:
- The speaker discusses some basic JVM knowledge, concurrency concepts, and personal design suggestions.
- Key concurrency topics like reorder, happens-before relationships, volatile fields, and CopyOnWriteArrayList are summarized.
- Common concurrency patterns like producer-consumer, readers-writers, and dining philosophers problems are explained.
- The goal is to make developers aware of concurrency issues and provide resources to study the topic further.
This document discusses concurrency and multi-threading concepts. It introduces definitions of programs, processes and threads. It then discusses how to develop non-race multi-threaded applications and applications where threads access common resources. It covers monitors, waiting and notifying threads, and demonstrates solutions to producer-consumer and dining philosophers problems to synchronize access to shared resources and prevent deadlocks. The objectives are to understand how to build multi-threaded applications that coordinate thread access and activities.
The document provides an introduction to Apache Kafka and distributed streaming systems. It discusses what a stream is as an abstract data structure with append and read operations. Streams are described as the simplest way to manage data and are naturally compatible with how information is perceived. The document then discusses how Kafka brokers work with producers and consumers to provide a unified log that applications can use for business intelligence, notifications, indexing and more. It notes that while the technique has been regularly "forgotten", the need for a unified log arises quickly in applications that manage state.
This document discusses how Puppet fits into a production-ready container environment. It begins by explaining why containers are popular, as they solve issues like application dependency problems and allow flexibility in compute resources. It then describes what such an environment looks like from the perspectives of infrastructure, development, and security teams. Infrastructure teams focus on uptime, configuration, and continuous delivery processes. Development teams focus on application work and deployment. Security teams focus on code analysis and testing. The document explains how tools like Docker, Kubernetes, Puppet, and monitoring tools help meet the needs of these teams. It positions Puppet as helping "ship" applications by aiding in areas like Docker networking and Kubernetes configuration.
The document discusses a consumer proxy called Triage that was built to solve the problem of head-of-line blocking for Kafka consumers. It begins with an overview of the topics to be covered, including microservices, event-driven architecture, Apache Kafka, head-of-line blocking, existing solutions, and the design of Triage. It then provides background on microservices, events, message queues, and how Kafka works before explaining the two main causes of head-of-line blocking: poison pill messages that can't be processed and non-uniform consumer latency from some messages taking longer to process than others.
The document discusses three classic synchronization problems: the bounded buffer problem, dining philosophers problem, and readers-writers problem. For the bounded buffer problem, it describes the producer-consumer scenario and provides pseudocode for the producer and consumer using semaphores. For the dining philosophers problem, it outlines the scenario of philosophers sharing a limited number of chopsticks and presents a solution using semaphores. For the readers-writers problem, it describes the scenario of multiple readers and a single writer accessing a shared resource and provides pseudocode for readers and writers that uses semaphores and a lock to control access.
The document discusses classical problems of synchronization in operating systems. It describes three classical synchronization problems: the bounded buffer problem, dining philosophers problem, and readers-writers problem. For each problem, it provides details on the problem description, potential solutions using semaphores or mutex locks, and examples of producer/consumer and reader/writer code. It also discusses potential issues like race conditions that can arise in solutions and defines what constitutes a deadlock.
AppSec USA 2014 talk by Chris Swan "Implications & Opportunities at the Bleed...Cohesive Networks
AppSec USA 2014 from Cohesive CTO Chris Swan
"Implications & Opportunities at the Bleeding Edge of DevOps"
Ever Onward… as DevOps keeps evolving, this session will show you how the newest DevOps patterns and technologies (e.g. Docker) trends continue to change and morph the opportunities and risks for security. It’s more exciting than scary… once you get over the shock
This document summarizes key concepts from an advanced operating systems course, including:
1) Compare-and-swap instructions and queuing implementations for semaphores.
2) Classical synchronization problems like producers/consumers and readers/writers.
3) Issues with inter-process communication and synchronization using semaphores, monitors, and messages.
4) Conditions that can lead to deadlocks and different approaches for preventing deadlocks.
This document discusses the producer-consumer problem, which involves processes called producers that generate items and processes called consumers that use the generated items. Producers and consumers share a common buffer to exchange items. The key challenges are ensuring producers don't add items if the buffer is full and consumers don't remove items if the buffer is empty, while also preventing multiple processes from accessing the buffer simultaneously. The document presents a solution using semaphores to synchronize producer and consumer processes and control buffer access. It provides code examples for the producer and consumer processes that use semaphores to address the challenges in a way that maintains consistent, exclusive access to the shared buffer.
This document discusses various techniques for inter-process communication and synchronization between concurrent processes. It covers topics like mutual exclusion, semaphores, monitors, and classical synchronization problems. Mutual exclusion is required to prevent race conditions when accessing shared resources. Common solutions discussed are software algorithms, hardware support using test-and-set operations, and operating system semaphores. Monitors provide synchronization through condition variables. Message passing enables communication and synchronization between distributed processes.
This document provides an overview of kernel locking techniques in Linux and discusses common locking issues and solutions. It describes the two main types of kernel locks - spinlocks and semaphores. It discusses how to lock data shared between different execution contexts like user context, bottom halves, softirqs, and interrupts. Common locking patterns and techniques are presented, such as only allowing readers but not writers in interrupt context, avoiding deadlocks, using per-CPU data, and replacing locks with atomic operations when possible. The document serves as an introduction to reliable and unreliable locking approaches in the Linux kernel.
The Java Learning Kit Chapter 1 – Introduction Copyri.docxarnoldmeredith47041
This chapter introduces key concepts in computer science and programming. It discusses what a computer is made of, including the central processing unit and memory. Computer science is defined as the scientific study of computation and information systems. The chapter outlines the different roles that computer scientists and software engineers can take, such as developing operating systems, applications, or focusing on theoretical computer science. It also introduces algorithms and objects, and provides an overview of different programming languages throughout history. The chapter concludes by focusing on Java, covering its history and why it is commonly used today.
Speaker: Damien Gasparina, Engineer, Confluent
Here's how to fail at Apache Kafka brilliantly!
https://www.meetup.com/Paris-Data-Engineers/events/260694777/
The Beam Vision for Portability: "Write once run anywhere"Knoldus Inc.
This session is all about knowing a modern way to define and execute data processing pipelines with Apache Beam, an open-source unified programming model. we will talk about the Apache Beam vision and the benefits of the Beam Portability framework. The Beam Portability framework achieves the vision that a developer can use their favourite programming language with their preferred execution backend.
An approach to design from the middle out. Rather than starting at the beginning, what if you need to hit the ground running with a product that's already midway through development? Can you still address conceptual issues effectively? Can you still develop consistent standards? Developed while at Dubberly Design Office.
International Institute of technology (android)Nazih Heni
The document is a laboratory booklet for programming II experiments in Android development. It outlines 8 experiments to guide students in learning how to: 1) install and configure an Android development environment; 2) create an Android project; 3) build simple applications; 4) start new activities; 5) create databases; 6) build models; 7) connect to databases and create login pages; and 8) create controllers, friend lists, and messaging activities. The experiments are designed to teach students basic and advanced Android and Java programming skills through hands-on practice in creating an example messaging application.
Introduction to Machine Learning
Association Analysis
Supervised (inductive) learning
Training data includes desired outputs
Classification
Regression/Prediction
Unsupervised learning
Training data does not include desired outputs
Semi-supervised learning
Training data includes a few desired outputs
Reinforcement learning
Rewards from sequence of actions
Time Series Analysis and Forecasting in PracticeDilum Bandara
This document discusses time series analysis and forecasting. It covers the components of time series including trends, seasonality, cyclical patterns and irregular components. It then describes several approaches to forecasting including qualitative judgmental methods, statistical time series models and explanatory causal models. Specific statistical time series forecasting techniques are explained such as simple and exponential smoothing, linear regression models, and Holt-Winters seasonal models. The importance of evaluating forecast accuracy is also highlighted.
Introduction to Dimension Reduction with PCADilum Bandara
Dimension reduction techniques simplify complex datasets by identifying underlying patterns or structures in the data. Principal component analysis (PCA) is a common dimension reduction method that defines new axes (principal components) to maximize variance in the data. PCA examines correlations between these principal components and the original variables to identify sets of highly correlated variables and reduce them to a few representative components. Eigenvalues measure the amount of variance explained by each principal component, and scree plots can help determine how many components to retain by balancing information loss and simplification of the data.
Introduction to Descriptive & Predictive AnalyticsDilum Bandara
This document provides an introduction to descriptive and predictive analytics. It discusses key concepts including descriptive analytics which uses data aggregation and mining to provide insights into past data, predictive analytics which uses statistical models and forecasts to understand the future, and prescriptive analytics which uses optimization and simulation to advise on possible outcomes. The document also reviews basic statistical concepts such as measures of location, dispersion, shape, and association that are important for data analytics. These concepts include mean, median, standard deviation, skewness, kurtosis, and correlation.
Hard to Paralelize Problems: Matrix-Vector and Matrix-MatrixDilum Bandara
The document discusses several problems that are hard to parallelize, including matrix-vector multiplication and matrix-matrix multiplication. It describes 1D and 2D assignment approaches to parallelizing matrix-vector multiplication across multiple processors. 1D assignment distributes the rows of the matrix and vector across processors, while 2D assignment distributes them in a 2D grid. It also outlines map-reduce approaches to parallelizing vector-matrix and matrix-matrix multiplication, breaking the problems into mapping and reducing stages.
Introduction to Map-Reduce Programming with HadoopDilum Bandara
This document provides an overview of MapReduce programming with Hadoop, including descriptions of HDFS architecture, examples of common MapReduce algorithms (word count, mean, sorting, inverted index, distributed grep), and how to write MapReduce clients and customize parts of the MapReduce job like input/output formats, partitioners, and distributed caching of files.
This document discusses embarrassingly parallel problems and the MapReduce programming model. It provides examples of MapReduce functions and how they work. Key points include:
- Embarrassingly parallel problems can be easily split into independent parts that can be solved simultaneously without much communication. MapReduce is well-suited for these types of problems.
- MapReduce involves two functions - map and reduce. Map processes a key-value pair to generate intermediate key-value pairs, while reduce merges all intermediate values associated with the same intermediate key.
- Implementations like Hadoop handle distributed execution, parallelization, data partitioning, and fault tolerance. Users just provide map and reduce functions.
Data-Level Parallelism in MicroprocessorsDilum Bandara
1. The document discusses data-level parallelism and summarizes vector architectures, SIMD instruction sets, and graphics processing units (GPUs). 2. It describes vector architectures like VMIPS that can perform operations on sets of data elements via vector registers. 3. It also explains how SIMD extensions like SSE exploit fine-grained data parallelism and how GPUs are optimized for data-parallel applications through a multithreaded SIMD execution model.
Instruction Level Parallelism – Hardware Techniques such as Branch prediction (Static and Dynamic Branch Prediction).
Tomasulo Algorithm and Multithreading.
CPU Pipelining and Hazards - An IntroductionDilum Bandara
Pipelining is a technique used in computer architecture to overlap the execution of instructions to increase throughput. It works by breaking down instruction execution into a series of steps and allowing subsequent instructions to begin execution before previous ones complete. This allows multiple instructions to be in various stages of completion simultaneously. Pipelining improves performance but introduces hazards such as structural, data, and control hazards that can reduce the ideal speedup if not addressed properly. Control hazards due to branches are particularly challenging to handle efficiently.
Advanced Computer Architecture – An IntroductionDilum Bandara
Introduction to advanced computer architecture, including classes of computers,
Instruction set architecture, Trends, Technology, Power and energy
Cost
Principles of computer design
Odoo releases a new update every year. The latest version, Odoo 17, came out in October 2023. It brought many improvements to the user interface and user experience, along with new features in modules like accounting, marketing, manufacturing, websites, and more.
The Odoo 17 update has been a hot topic among startups, mid-sized businesses, large enterprises, and Odoo developers aiming to grow their businesses. Since it is now already the first quarter of 2024, you must have a clear idea of what Odoo 17 entails and what it can offer your business if you are still not aware of it.
This blog covers the features and functionalities. Explore the entire blog and get in touch with expert Odoo ERP consultants to leverage Odoo 17 and its features for your business too.
An Overview of Odoo ERP
Odoo ERP was first released as OpenERP software in February 2005. It is a suite of business applications used for ERP, CRM, eCommerce, websites, and project management. Ten years ago, the Odoo Enterprise edition was launched to help fund the Odoo Community version.
When you compare Odoo Community and Enterprise, the Enterprise edition offers exclusive features like mobile app access, Odoo Studio customisation, Odoo hosting, and unlimited functional support.
Today, Odoo is a well-known name used by companies of all sizes across various industries, including manufacturing, retail, accounting, marketing, healthcare, IT consulting, and R&D.
The latest version, Odoo 17, has been available since October 2023. Key highlights of this update include:
Enhanced user experience with improvements to the command bar, faster backend page loading, and multiple dashboard views.
Instant report generation, credit limit alerts for sales and invoices, separate OCR settings for invoice creation, and an auto-complete feature for forms in the accounting module.
Improved image handling and global attribute changes for mailing lists in email marketing.
A default auto-signature option and a refuse-to-sign option in HR modules.
Options to divide and merge manufacturing orders, track the status of manufacturing orders, and more in the MRP module.
Dark mode in Odoo 17.
Now that the Odoo 17 announcement is official, let’s look at what’s new in Odoo 17!
What is Odoo ERP 17?
Odoo 17 is the latest version of one of the world’s leading open-source enterprise ERPs. This version has come up with significant improvements explained here in this blog. Also, this new version aims to introduce features that enhance time-saving, efficiency, and productivity for users across various organisations.
Odoo 17, released at the Odoo Experience 2023, brought notable improvements to the user interface and added new functionalities with enhancements in performance, accessibility, data analysis, and management, further expanding its reach in the market.
Everything You Need to Know About X-Sign: The eSign Functionality of XfilesPr...XfilesPro
Wondering how X-Sign gained popularity in a quick time span? This eSign functionality of XfilesPro DocuPrime has many advancements to offer for Salesforce users. Explore them now!
WWDC 2024 Keynote Review: For CocoaCoders AustinPatrick Weigel
Overview of WWDC 2024 Keynote Address.
Covers: Apple Intelligence, iOS18, macOS Sequoia, iPadOS, watchOS, visionOS, and Apple TV+.
Understandable dialogue on Apple TV+
On-device app controlling AI.
Access to ChatGPT with a guest appearance by Chief Data Thief Sam Altman!
App Locking! iPhone Mirroring! And a Calculator!!
Malibou Pitch Deck For Its €3M Seed Roundsjcobrien
French start-up Malibou raised a €3 million Seed Round to develop its payroll and human resources
management platform for VSEs and SMEs. The financing round was led by investors Breega, Y Combinator, and FCVC.
Why Apache Kafka Clusters Are Like Galaxies (And Other Cosmic Kafka Quandarie...Paul Brebner
Closing talk for the Performance Engineering track at Community Over Code EU (Bratislava, Slovakia, June 5 2024) https://eu.communityovercode.org/sessions/2024/why-apache-kafka-clusters-are-like-galaxies-and-other-cosmic-kafka-quandaries-explored/ Instaclustr (now part of NetApp) manages 100s of Apache Kafka clusters of many different sizes, for a variety of use cases and customers. For the last 7 years I’ve been focused outwardly on exploring Kafka application development challenges, but recently I decided to look inward and see what I could discover about the performance, scalability and resource characteristics of the Kafka clusters themselves. Using a suite of Performance Engineering techniques, I will reveal some surprising discoveries about cosmic Kafka mysteries in our data centres, related to: cluster sizes and distribution (using Zipf’s Law), horizontal vs. vertical scalability, and predicting Kafka performance using metrics, modelling and regression techniques. These insights are relevant to Kafka developers and operators.
What to do when you have a perfect model for your software but you are constrained by an imperfect business model?
This talk explores the challenges of bringing modelling rigour to the business and strategy levels, and talking to your non-technical counterparts in the process.
Transforming Product Development using OnePlan To Boost Efficiency and Innova...OnePlan Solutions
Ready to overcome challenges and drive innovation in your organization? Join us in our upcoming webinar where we discuss how to combat resource limitations, scope creep, and the difficulties of aligning your projects with strategic goals. Discover how OnePlan can revolutionize your product development processes, helping your team to innovate faster, manage resources more effectively, and deliver exceptional results.
8 Best Automated Android App Testing Tool and Framework in 2024.pdfkalichargn70th171
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2. Building Blocks for Synchronization
Locks
Monitors
Semaphores
Mutex
Condition Variables
When, where, & how to use them?
2
3. Signalling
When 1 thread signals to another
Solves serialization problem
Can implement using a Semaphore
3
4. Rendezvous
2 threads rendezvous at a point of execution
Neither is allowed to proceed until both have
arrived
Make sure that a1 happens before b2 & b1
happens before a2
Implement using Semaphores
4
7. Classical Problems
Problems that we learned in OS class
Real-world problems
We may find similar problems in OS &
applications
Solutions are slightly different
Parallel programming is more of an Art than a
science
Teach Art is by demonstrating Great examples
So we learn classical problems
7
9. Producer-Consumer Problem
Producer produce an item & add it to a data
structure
Consumer removes an item from data structure
& process it
Examples
User input from a keyboard
Network packets
What can go wrong?
Solution? 9
Producer Consumer
10. Parallel Program Design
1st think about signaling
Decide what semaphores you need if any?
Decide any state you need?
Think what state(s) needs mutual exclusions
Problem state vs. signaling state
Write program
Look for race conditions & deadlocks?
Test by considering different scenarios
10
13. Producer-Consumer With a Finite
Buffer
What if finite buffer?
Fast producer
Block producer when buffer is full
Wakeup when at least 1 buffer slot is empty
What if?
If items >= buffer.size()
block
But we don’t know value of a Semaphore
13
14. Producer-Consumer With a Finite
Buffer (Cont.)
Buffer of size n
Producer produce cakes & put them in buffer, consumer
eats them
When producer finds that a buffer is full, it goes to sleep
When producer finds that a buffer is empty, it add new
cake & wake up a consumer
If a buffer is empty when consumer comes in, it wake up
producer & go to sleep
14
Source: http://technogems.blogspot.com/2012/09/producer-consumer-in-c.html
16. Readers & Writers
Data structure is accessed by readers & writers
Readers can co-exists, but only 1 writer can be
writing at a given time
Very common usecase
Read/Write lock is derived from this problem
How to solve this?
Hint – assume a light switch in a room
16
17. Readers & Writers (Cont.)
17
Readers & Writers Init
Writers Readers
Are you sure that only 1 reader & many writers may await?
When reader signals roomEmpty is it actually True?
18. Readers & Writers (Cont.)
What if readers continue to arrive?
Writers will starve
Not a deadlock
Solution(s)?
When a Writer come, give it Priority
Don’t let more than N Readers to go in consequently
18
23. Constraints That Dinning Philosophers
Must Satisfy
1. Only 1 philosopher can hold a fork at a time
2. Must be impossible for a deadlock to occur
3. Must be impossible for a philosopher to starve
waiting for a fork
4. Must be possible for more than 1 philosopher to
eat at the same time
Efficiency
23
25. Dinning Philosophers – 2nd Attempt
Attack the deadlock
Possible solutions
Only 4 Philosophers are allowed to eat at a time
1 Philosopher is left-handed while others are right-
handed
Actually, only need at least 1 leftie & at least 1 rightie
25
26. Only 4 Philosophers Allowed to Eat
26
Footman is a
Multiplex that
controls no of
Philosophers
No deadlock
No starvation