'Functional languages' diaporamas de présentation

Concurrent Tries with Efficient Non-blocking Snapshots

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ICOM 4036: PROGRAMMING LANGUAGES

ICOM 4036: PROGRAMMING LANGUAGES. Lecture 5 Functional Programming The Case of Scheme 10/21/2019. Required Readings. Texbook (R. Sebesta Concepts of PLs ) Chapter 15: Functional Programming Languages Scheme Language Description Revised Report on the Algorithmic Language Scheme

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An Introduction to Monads

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Programming Languages

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Control Flow

Control Flow. Aaron Bloomfield CS 415 Fall 2005. Side Effects & Idempotent Functions.

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Towards a Science of Parallel Programming

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MapReduce: Simplified Data Processing on Large Clusters J. Dean and S. Ghemawat (Google) OSDI 2004

MapReduce: Simplified Data Processing on Large Clusters J. Dean and S. Ghemawat (Google) OSDI 2004. Shimin Chen DISC Reading Group. Motivation: Large Scale Data Processing. Process lots of data to produce other derived data Input: crawled documents, web request logs etc.

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Modeling Dynamically Reconfigurable Systems via Rewriting-Logic (modeling and simulation of the FFT in Optimal Space)

Modeling Dynamically Reconfigurable Systems via Rewriting-Logic (modeling and simulation of the FFT in Optimal Space).

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Functional Programming in a Nutshell with Haskell and F#

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CSE 341 Lecture 1

CSE 341 Lecture 1. Programming Languages; Intro to ML Reading: Ullman 1.1; 2; 3 - 3.2 slides created by Marty Stepp http://www.cs.washington.edu/341/. Programming languages.

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Imperative Programming: Mutable data (local state, letrec , set!)

Imperative Programming: Mutable data (local state, letrec , set!). Example 1: counter. How would this work in the substitution model?. (define counter (let ((count 0)) (lambda () (set! count (+ count 1)) count))).

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Programming II

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Keshav Pingali Department of Computer Science University of Texas, Austin

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Parallel Programming Models

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Control Flow

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Concurrency and Software Transactional Memories

Concurrency and Software Transactional Memories. Satnam Singh, Microsoft. Faculty Summit 2005. Concurrency and Parallelism. Software engineering. Multi-core. Future computing architectures. Reconfigurable computing. Message passing multi-processor systems. Alternative computing devices.

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