Канал: Prasun Dewan

Lecture-less Java-Threads Training in an Hour?

Lecture-less Java-Threads Training in an Hour?

Traditional and AI Tools for Teaching Concurrency

Traditional and AI Tools for Teaching Concurrency

Tak at LSU CDER HPC workshop on training trainers

Tak at LSU CDER HPC workshop on training trainers

UNC Candidates Day Talk (Spring 2023)

UNC Candidates Day Talk (Spring 2023)

Saroj Dewan (my mother): Her Story

Saroj Dewan (my mother): Her Story

Hands-On, Instructor-Light, Checked and Tracked Training of Trainers in Java Fork-Join Abstractions

Hands-On, Instructor-Light, Checked and Tracked Training of Trainers in Java Fork-Join Abstractions

Fall Orientation 2022

Fall Orientation 2022

Broad Awareness of Unseen Work on a Concurrency-Based Assignment

Broad Awareness of Unseen Work on a Concurrency-Based Assignment

Automating Testing of Visual Observed Concurrency

Automating Testing of Visual Observed Concurrency

T11 Consensus 4 Distributed Paxos Corrected 2

T11 Consensus 4 Distributed Paxos Corrected 2

T11 Consensus 4 Distributed Paxos Corrected

T11 Consensus 4 Distributed Paxos Corrected

Life after high-school presented to classmates

Life after high-school presented to classmates

9.4 HPC: Distributed Reduction

9.4 HPC: Distributed Reduction

9.3 HPC: OpenMP Concurrent Reduction

9.3 HPC: OpenMP Concurrent Reduction

9.2 HPC: OpenMP Declarative Concurrency

9.2 HPC: OpenMP Declarative Concurrency

9.1 High Performance vs Coupling in Parallel and Distributed Computing

9.1 High Performance vs Coupling in Parallel and Distributed Computing

11.4 Consensus: Distributed Paxos

11.4 Consensus: Distributed Paxos

10.5 Data Communication: NIO Design Pattern, NIO Manager

10.5 Data Communication: NIO Design Pattern, NIO Manager

11.3 Consensus: Two Phase Commit

11.3 Consensus: Two Phase Commit

11.2: Consensus: Single Writer Multiple Readers

11.2: Consensus: Single Writer Multiple Readers

11.1 Consensus: Motivation and Architecture

11.1 Consensus: Motivation and Architecture

10.3 Data Communication: Blocking Message Passing and Sockets

10.3 Data Communication: Blocking Message Passing and Sockets

10.4 Data Communication: Non Blocking Message Passing and Java NIO

10.4 Data Communication: Non Blocking Message Passing and Java NIO

10.2 Data Communication: Inter-Process Communication

10.2 Data Communication: Inter-Process Communication

10.1 Data Communication: Input/Output

10.1 Data Communication: Input/Output

8.3 RPC: RMI Advanced Concepts

8.3 RPC: RMI Advanced Concepts

8.2 RPC: RMI Basics

8.2 RPC: RMI Basics

8.1 RPC: Basics

8.1 RPC: Basics

7 Basics of Inter Process Communication

7 Basics of Inter Process Communication

6. The Producer Consumer Problem

6. The Producer Consumer Problem

5 Thread Synchronization and Coordination

5 Thread Synchronization and Coordination

4 Threads: Concurrency and Java Threads

4 Threads: Concurrency and Java Threads

3 Role of Style and Patterns in Distributed Computing

3 Role of Style and Patterns in Distributed Computing

2 Scope of Distributed Computing Course

2 Scope of Distributed Computing Course

1 Course Overview (S20)

1 Course Overview (S20)

Visually Introducing Freshmen to Low-Level Java Concurrency Abstractions(Conference Talk)

Visually Introducing Freshmen to Low-Level Java Concurrency Abstractions(Conference Talk)

3 15 Lisp EagerThreads

3 15 Lisp EagerThreads

3 17 Lisp LazyEvaluation

3 17 Lisp LazyEvaluation

3 16 Lisp EagerDoParallelThreadPool

3 16 Lisp EagerDoParallelThreadPool

3 11 Lisp Curry

3 11 Lisp Curry

3 12 Lisp Defun, DefCurry and Funcalls to Quoted Symbols

3 12 Lisp Defun, DefCurry and Funcalls to Quoted Symbols

3 14 Lisp Lambda Setq

3 14 Lisp Lambda Setq

3 13 Lisp Deep Shallow Environment Copy

3 13 Lisp Deep Shallow Environment Copy

3 9 Lisp Function Expressions (Closures)

3 9 Lisp Function Expressions (Closures)

3-10 Lisp Let Expressions

3-10 Lisp Let Expressions

3 8 Lisp Higher Order Functions

3 8 Lisp Higher Order Functions

2 8 Overview Distributed

2 8 Overview Distributed

2 5 Overview Java

2 5 Overview Java

3 4 Lisp BasicLispFunctions

3 4 Lisp BasicLispFunctions

3 6 Lisp Lambda

3 6 Lisp Lambda

3 3 Lisp Evaluator

3 3 Lisp Evaluator

2 7 Overview Concurrency

2 7 Overview Concurrency

3 1 Lisp SExpression

3 1 Lisp SExpression

3 5 Lisp Variable, Environment

3 5 Lisp Variable, Environment

2 9 Overview Projects

2 9 Overview Projects

3 2 Lisp Read Eval Print

3 2 Lisp Read Eval Print

2 6 Overview Weka

2 6 Overview Weka

3 7 Lisp Funcall

3 7 Lisp Funcall

2 1 Overview C

2 1 Overview C

2 3 Overview ML

2 3 Overview ML

2 4 Overview Prolog

2 4 Overview Prolog

2 2 Overview Lisp

2 2 Overview Lisp

1 Introduction to Comp 524 (Programming Languages)

1 Introduction to Comp 524 (Programming Languages)

Bash with more complete history tracking

Bash with more complete history tracking

PDC-5: OpenMP vs MapReduce

PDC-5: OpenMP vs MapReduce

PDC-4: Operating System Multi-Processor Scheduling

PDC-4: Operating System Multi-Processor Scheduling

PDC-3: OpenMP Declarative Partitioning of Work and Reduction

PDC-3: OpenMP Declarative Partitioning of Work and Reduction

PDC-2: OpenMP Declarative and Procedural Concurrency

PDC-2: OpenMP Declarative and Procedural Concurrency

Parallel and Distributed Computing (PDC) -1: High-Performance vs Conistency

Parallel and Distributed Computing (PDC) -1: High-Performance vs Conistency

Java RMI Part 3

Java RMI Part 3

Overview of Device-CPU Communication

Overview of Device-CPU Communication

Introduction to 533 - S19

Introduction to 533 - S19

Cyber Support for Difficulty Resolution to Make Learning More Accessible?

Cyber Support for Difficulty Resolution to Make Learning More Accessible?

The Structure of a Project-Based Course on the Fundamentals of Distributed Computing

The Structure of a Project-Based Course on the Fundamentals of Distributed Computing

Conclusion 401 F18

Conclusion 401 F18

Infosys Innovation Colloquium: Detecting Programming Difficulties to Provide Opportunistic Help

Infosys Innovation Colloquium: Detecting Programming Difficulties to Provide Opportunistic Help

Graphical Visualization of Difficulties Predicted from Interaction Logs

Graphical Visualization of Difficulties Predicted from Interaction Logs

Human-Centric Programming in the Large - Command Languages to Scalable Cyber Training

Human-Centric Programming in the Large - Command Languages to Scalable Cyber Training

Exploring the Relationship between Programming Difficulty and Web Accesses

Exploring the Relationship between Programming Difficulty and Web Accesses

CyberInfrastructures and Data Science: UNC Orientation 2018

CyberInfrastructures and Data Science: UNC Orientation 2018

CourseInfo 2018

CourseInfo 2018

Learning Resources: Praxes, Autochecking, PPTs, Videos etc

Learning Resources: Praxes, Autochecking, PPTs, Videos etc

Contextualizing Inferred Programming Difficulties (Conference Talk)

Contextualizing Inferred Programming Difficulties (Conference Talk)

Mystery of the 20Giga Bytes Log File

Mystery of the 20Giga Bytes Log File

Distributed Consensus-Part 5: The Paxos Algorithm (update)

Distributed Consensus-Part 5: The Paxos Algorithm (update)

JavaBytpeIPC Part5 NIOManager Commands

JavaBytpeIPC Part5 NIOManager Commands

JavaBytpeIPC Part6 summary

JavaBytpeIPC Part6 summary

JavaByteIPC Part3 NIO

JavaByteIPC Part3 NIO

JavaByteIPC Part1 IO

JavaByteIPC Part1 IO

JavaBytpeIPC Part4 NIOManager

JavaBytpeIPC Part4 NIOManager

JavaByteIPC Part2 IPC

JavaByteIPC Part2 IPC

Peaxes 1 min promo

Peaxes 1 min promo

Basic Computing Systems Concepts: Hardware, OS, Design Patterns

Basic Computing Systems Concepts: Hardware, OS, Design Patterns

Comp 533 Introduction - S18

Comp 533 Introduction - S18

Discovery-based Praxes

Discovery-based Praxes

CourseInfo 2017

CourseInfo 2017

Programming Interface (and Recursion)

Programming Interface (and Recursion)

Distributed Consensus-Part 6: Paxos Implementation and Demo

Distributed Consensus-Part 6: Paxos Implementation and Demo

Distributed Consensus-Part 5: The Paxos Algorithm (deprecated, 6 minute silence at start)

Distributed Consensus-Part 5: The Paxos Algorithm (deprecated, 6 minute silence at start)

Distributed Consensus-Part 4: (Dynamic) Centralization

Distributed Consensus-Part 4: (Dynamic) Centralization

Distributed Consensus-Part 3: (Semi) Synchronous Replication

Distributed Consensus-Part 3: (Semi) Synchronous Replication

Distributed Consensus-Part 2: Replication Abstraction and Asynchronous Learners

Distributed Consensus-Part 2: Replication Abstraction and Asynchronous Learners

Distributed Consensus-Part 1: Context (Two-General Problem and Applications)

Distributed Consensus-Part 1: Context (Two-General Problem and Applications)

Factory Patterns and Customizing an RPC Implementation

Factory Patterns and Customizing an RPC Implementation

Teaching Project Courses

Teaching Project Courses

RPC/RMI Architecture

RPC/RMI Architecture

Basic Implementation Steps in a Remote Procedure Call

Basic Implementation Steps in a Remote Procedure Call

Atmosphere Tutorial with Focus on Interactive and Distributed Java Programs

Atmosphere Tutorial with Focus on Interactive and Distributed Java Programs

Thread Synchronization Mechanisms - Part 3

Thread Synchronization Mechanisms - Part 3

Byte Communication: Part 2 (Update)

Byte Communication: Part 2 (Update)

LectureStructure

LectureStructure

Course Information - F16

Course Information - F16

Implementation of Group Communication

Implementation of Group Communication

Implementing Fault Tolerant Atomic Broadcast

Implementing Fault Tolerant Atomic Broadcast

Exceptions (Updated in F15)

Exceptions (Updated in F15)

SerializationSummary

SerializationSummary

ProgrammingStyle

ProgrammingStyle

Mining Programming Activity to Promote Help (ConferenceTalk)

Mining Programming Activity to Promote Help (ConferenceTalk)

The Dual Roles of a Class (Fall 15)

The Dual Roles of a Class (Fall 15)

Introduction to DIstributed Systems F15

Introduction to DIstributed Systems F15

GIPC-based Serialization Demo

GIPC-based Serialization Demo

RMI

RMI

NIO-Demo Part 1

NIO-Demo Part 1

NIO Demo - Part 2

NIO Demo - Part 2

Course Inverted-2015-2

Course Inverted-2015-2

Basics of Scanning and Java (Updated, removing gaps in previous version)

Basics of Scanning and Java (Updated, removing gaps in previous version)

CourseInverted-2015-1

CourseInverted-2015-1

Towards Emotion-based Collaborative Software Engineering

Towards Emotion-based Collaborative Software Engineering

Emile Toscano and I Playing Squash

Emile Toscano and I Playing Squash

Towards Incremental Separation of Surmountable and Insurmountable Programming Difficulties

Towards Incremental Separation of Surmountable and Insurmountable Programming Difficulties

12Merging

12Merging

Interactive Control and Visualization of Difficulty Inferences from User-Interface Commands

Interactive Control and Visualization of Difficulty Inferences from User-Interface Commands

User-Interfaces for Incremental Recipient and Response Time Predictions in Asynchronous Messaging

User-Interfaces for Incremental Recipient and Response Time Predictions in Asynchronous Messaging

Scalable Mixed-Focus Collaborative Difficulty Resolution: A Demonstration

Scalable Mixed-Focus Collaborative Difficulty Resolution: A Demonstration

A Testbed for Automatic Detection of Collaborators’ Status

A Testbed for Automatic Detection of Collaborators’ Status

A Testbed for Friend-List Recommendations

A Testbed for Friend-List Recommendations

11. Operation Transformation: Algorithms, Architecture and Implementation

11. Operation Transformation: Algorithms, Architecture and Implementation

Tracking Interaction Commands and Incremental Programmer Difficulty Status

Tracking Interaction Commands and Incremental Programmer Difficulty Status

9 InteractionLogsAndDifficulty 19

9 InteractionLogsAndDifficulty 19

9 InteractionLogsAndDifficulty 20

9 InteractionLogsAndDifficulty 20

10.2 Causality - Implementation

10.2 Causality - Implementation

10.1 Causality - Semantics

10.1 Causality - Semantics

9 4 Concurrency Control - Optimistic, Nested, & Object Transactions

9 4 Concurrency Control - Optimistic, Nested, & Object Transactions

9 3 Concurrency Control - Locking Multiple (Possibly Hierarchical) Items

9 3 Concurrency Control - Locking Multiple (Possibly Hierarchical) Items

9 2 Concurrency Control: Implementation in a Distributed System

9 2 Concurrency Control: Implementation in a Distributed System

9 1 Concurrency Control: Basics

9 1 Concurrency Control: Basics

Programmer-Controlled Application-Level Multicast (Conference Talk, CollaborateCom 2014)

Programmer-Controlled Application-Level Multicast (Conference Talk, CollaborateCom 2014)

Distribution, Correlation and Prediction of Response Times in Stack Overflow (CollaborateCom 2015)

Distribution, Correlation and Prediction of Response Times in Stack Overflow (CollaborateCom 2015)

MVC and Observers - Extra Slides with Audio

MVC and Observers - Extra Slides with Audio

8. WYSIWIS and Replicated and Centralized Shared Window Systems

8. WYSIWIS and Replicated and Centralized Shared Window Systems

7. Replicated and Centralized Model (Data) Sharing

7. Replicated and Centralized Model (Data) Sharing

6. Group Communication, Session Management, and Application-Level Multicast

6. Group Communication, Session Management, and Application-Level Multicast

5. Traceable, Testable and Logged Algorithms

5. Traceable, Testable and Logged Algorithms

3. Types ofUser Interface Abstractions: Standard I/O, Window Systems, Toolkits

3. Types ofUser Interface Abstractions: Standard I/O, Window Systems, Toolkits

4. Types of Models: Bean, List, Composite

4. Types of Models: Bean, List, Composite

2. Anatomy of an Interactive Application

2. Anatomy of an Interactive Application

Demo 6: Operation Transformation

Demo 6: Operation Transformation

Demo 7: Locking

Demo 7: Locking

Demo 5: Causality

Demo 5: Causality

Demo 4: Jitter and Telepointer Trails

Demo 4: Jitter and Telepointer Trails

1. 790-063 Course Description

1. 790-063 Course Description

Towards Hierarchical Email Recipient Predictions (Conference talk by Jacob Bartel 2012)

Towards Hierarchical Email Recipient Predictions (Conference talk by Jacob Bartel 2012)

Demo 2: Multi-User IM/Editing Tool

Demo 2: Multi-User IM/Editing Tool

Demo 3: Replicated Windows

Demo 3: Replicated Windows

Demo 1: Multi-View Single-User Version of the IM/Editing Tool

Demo 1: Multi-View Single-User Version of the IM/Editing Tool

Automatic Detection of Programming Difficulty (Dissertation Talk by Jason Carter 2014)

Automatic Detection of Programming Difficulty (Dissertation Talk by Jason Carter 2014)

Predicting Answer Times on Stack Overflow (Honors Talk by Preeti Arunapuram '14 )

Predicting Answer Times on Stack Overflow (Honors Talk by Preeti Arunapuram '14 )

Towards Self–Optimizing Collaborative Systems (CSCW '12 Talk by Sasa Junuzovic)

Towards Self–Optimizing Collaborative Systems (CSCW '12 Talk by Sasa Junuzovic)

Scheduling in Variable-Core Collaborative Systems (CSCW '11 Talk by Sasa Junuzovic)

Scheduling in Variable-Core Collaborative Systems (CSCW '11 Talk by Sasa Junuzovic)

Mixed-Focus Collaboration without Compromising Individual or Group work (EICS '10)

Mixed-Focus Collaboration without Compromising Individual or Group work (EICS '10)

Computer Supported Cooperative Work: A Convergence of Multiple Computer Science Fields (Wuhan '11)

Computer Supported Cooperative Work: A Convergence of Multiple Computer Science Fields (Wuhan '11)

Developing Mechanisms and Inferring Policies in Collaborative Systems (UNC Candidates Day 2014)

Developing Mechanisms and Inferring Policies in Collaborative Systems (UNC Candidates Day 2014)

Coupling the User-Interfaces of a Multi-User Program (CSCW '92 Video Program)

Coupling the User-Interfaces of a Multi-User Program (CSCW '92 Video Program)

Object Clone: Deep vs. Shallow Copy

Object Clone: Deep vs. Shallow Copy

Assertions and Arithmetic Overflow

Assertions and Arithmetic Overflow

Conversion and Casting of Primitive and Object Types

Conversion and Casting of Primitive and Object Types

Recursion

Recursion

Instance (Object) Members (Variables and Methods) and Properties

Instance (Object) Members (Variables and Methods) and Properties

Static (Class) Members (Variables and Methods) and Properties

Static (Class) Members (Variables and Methods) and Properties

Object-First Introduction to Programming

Object-First Introduction to Programming

The Java Equals Methods and Overloading vs. Polymorphism

The Java Equals Methods and Overloading vs. Polymorphism

Inheritance vs Delegation (in-depth) or Why Indiscriminate Use of Inheritance Considered Harmful

Inheritance vs Delegation (in-depth) or Why Indiscriminate Use of Inheritance Considered Harmful

Java Reflection and Types and Actions as Objects

Java Reflection and Types and Actions as Objects

Distributed Replicated Objects - Part 1

Distributed Replicated Objects - Part 1

Thread Synchronization Mechanisms - Part 2

Thread Synchronization Mechanisms - Part 2

Thread Synchronization Mechanisms - Part 1

Thread Synchronization Mechanisms - Part 1

Distributed Replicated Objects - Part 2

Distributed Replicated Objects - Part 2

Undo and Command Objects: 2

Undo and Command Objects: 2

Undo and Command Objects: 1

Undo and Command Objects: 1

Java RMI: Part 1

Java RMI: Part 1

Introduction to Distributed Systems

Introduction to Distributed Systems

Composite and Visitor Design Patterns

Composite and Visitor Design Patterns

More Exceptions

More Exceptions

Byte Communication: Part 3

Byte Communication: Part 3

Byte Communication: Part 2

Byte Communication: Part 2

Byte Communication: Part 1

Byte Communication: Part 1

Java Object Communication (Serialization)

Java Object Communication (Serialization)

Java RMI: Part 3

Java RMI: Part 3

Java RMI: Part 2

Java RMI: Part 2

Comp 401 Course Overview

Comp 401 Course Overview