Thinking Inductively CSI 3120 Amy Felty University of Ottawa slides copyright 2017, 2018, 2019, 2020 Author David Walker, updated by Amy Felty permission granted to reuse these slides for non-commercial educational purposes 2 Options A value v has type t option if it is either: – the value None, or – a value Some v’, […]
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Modules and Abstract Data Types CSI 3120 Amy Felty University of Ottawa slides copyright 2017, 2018, 2019, 2020 Author David Walker, updated by Amy Felty permission granted to reuse these slides for non-commercial educational purposes The Reality of Development We rarely know the right algorithms or the right data structures when we start a design
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INTRODUCTION TO OCAML slides copyright 2017, 2018, 2019, 2020 Author David Walker, updated by Amy Felty permission granted to reuse these slides for non-commercial educational purposes Alonzo Church, 1903-1995 Princeton Professor, 1929-1967 In 1936, Alonzo Church invented the lambda calculus. He called it a logic, but it was a language of pure functions — the
For a short humorous talk on languages without strong typing: https://www.destroyallsoftware.com/talks/wat [Broader point: No one (few people) knows what their programs do in untyped languages.] 1 Type Checking Basics CSI 3120 Amy Felty University of Ottawa slides copyright 2017, 2018, 2019, 2020 Author David Walker, updated by Amy Felty permission granted to reuse these slides
OCaml Datatypes CSI 3120 Amy Felty University of Ottawa slides copyright 2017, 2018, 2019, 2020 Author David Walker, updated by Amy Felty permission granted to reuse these slides for non-commercial educational purposes 2 OCaml So Far • We have seen a number of basic types: – int – float – char – string – bool
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Chapter 10: Virtual Memory Operating System Concepts – 10th Edition 10.1 Silberschatz, Galvin and Gagne ©2018 Entire program code not needed at same time Consider ability to execute partially-loaded program Background Code needs to be in memory to execute, but entire program rarely used Errorcode,unusualroutines,largedatastructures Programnolongerconstrainedbylimitsofphysicalmemory Eachprogramtakeslessmemorywhilerunning->moreprograms run at
Hash Tables (Chapter 11 in the textbook) Based on slides of Dan Suciu 1 Dictionary ADT create : insert : find : delete : dictionary dictionary key values dictionary dictionary key values dictionary key dictionary kim chi spicy cabbage Kreplach tasty stuffed dough Kiwi Australian fruit insert(kohlrabi,
The Google File System Sanjay Ghemawat, Howard Gobioff, and Shun-Tak Leung Google∗ ABSTRACT We have designed and implemented the Google File Sys- tem, a scalable distributed file system for large distributed data-intensive applications. It provides fault tolerance while running on inexpensive commodity hardware, and it delivers high aggregate performance to a large number of clients.
Chapter 5: CPU Scheduling CPU Scheduling CPU Scheduling: The CPU Scheduler selects one process among all processes that are in the ready state, and allocates the CPU to it. Often CPU Schedulers use a ready queue, where the records in the ready queue are PCBs of the processes that are in the ready
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MapReduce: Simplified Data Processing on Large Clusters Abstract MapReduce is a programming model and an associ- ated implementation for processing and generating large data sets. Users specify a map function that processes a key/value pair to generate a set of intermediate key/value pairs, and a reduce function that merges all intermediate values associated with the