STAT 513/413: Lecture 2 And now to computing (starting with R) Computing environment (≈ language) Long ago: machine code → assembly language Programming languages: Fortran, Pascal, C(++), Java First time a bit comfortable: Matlab (Octave?) First dedicated for data-analysis: Lisp(-Stat) Very fashionable now: Python Dedicated for data-analysis: S → S-Plus → R Our choice: R […]
UCLA CS 131 lecture 2021-01-05 Core of this class (core of programming languages) 1. Principles and limitations of programming models. 2. Notations for these models, design + use + support for the above. 3. How to evaluate strengths + weaknesses in various contexts. Let¡¯s do a quiz (won¡¯t count for a grade). Write a program
Lecture 5: Arithmetic 1/3 John Owens Introduction to Computer Architecture UC Davis EEC 170, Winter 2021 Arithmetic for Computers ▪ Operations on integers – Addition and subtraction – Multiplication and division – Dealing with overflow ▪ Floating-point real numbers – Representation and operations 2 UC Davis EEC 170, Winter 2021 / © John Owens §3.1
High Performance Computing Course Notes OpenMP Dr Ligang He OpenMP Stands for Open specification for Multi-processing An approach to writing parallel programs • write a serial program and use the compiler to automatically parallelize it • OpenMP is used to assist compilers to understand the serial program Used in shared memory parallelism; support Fortran, C
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High Performance Computing Models of Parallel Programming Dr Ligang He Models of Parallel Programming Different approaches for programming on a HPC system include: – Smart compilers, which automatically parallelise sequential codes – Data parallelism: multiple processors run the same operation on different elements of a data structure – Task parallelism: multiple processors run different operations
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# Visual Studio *.sdf *.sln *.user *.suo *.opensdf *.db Debug/ ipch/ x64/ .vs/ #tempfiles ~$_*.* #codelite .clang/ .codelite/ Debug/ # Prerequisites *.d # Compiled Object files *.slo *.lo *.o *.obj # Precompiled Headers *.gch *.pch # Compiled Dynamic libraries *.so *.dylib *.dll # Fortran module files *.mod *.smod # Compiled Static libraries *.lai *.la *.a
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lec12 CS 314 Principles of Programming Languages Prof. Zheng Zhang Rutgers University Lecture 12: Names, Scopes and Bindings October 12, 2018 Review: Names, Scopes and Binding 2 • Denotes a programming language construct • Has associated “attributes” Examples: type, memory location, read/write permission, storage class, access restrictions. • Has a meaning Examples: represents
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Microsoft PowerPoint – Chapter 7 – Programming Shared Address Space Platforms Introduction to Parallel Computing George Karypis Programming Shared Address Space Platforms Outline Shared Address-Space Programming Models Thread-based programming POSIX API/Pthreads Directive-based programming OpenMP API Shared Memory Programming Communication is implicitly specified Focus on constructs for expressing concurrency and synchronization Minimize data-sharing overheads Commonly Used
Structure and Interpretation of Computer Programs [Go to first, previous, next page; contents; index] [Go to first, previous, next page; contents; index] Structure and Interpretation of Computer Programs second edition Harold Abelson and Gerald Jay Sussman with Julie Sussman foreword by Alan J. Perlis The MIT Press Cambridge, Massachusetts London, England McGraw-Hill Book Company New
MSc in High Performance Computing MSc in High Performance Computing Notes for first practical to set up machine accounts Session 1: Informatics DICE desktop accounts An Informatics DICE account is required to log in to desktop machines in the Informatics training rooms. You can set your initial DICE password at https://pp.inf.ed.ac.uk/. If you
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