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12.950 Parallel Programming for Multicore Machines Using OpenMP and MPI (MIT) 12.950 Parallel Programming for Multicore Machines Using OpenMP and MPI (MIT)

Description

This course introduces fundamentals of shared and distributed memory programming, teaches you how to code using openMP and MPI respectively, and provides hands-on experience of parallel computing geared towards numerical applications. This course introduces fundamentals of shared and distributed memory programming, teaches you how to code using openMP and MPI respectively, and provides hands-on experience of parallel computing geared towards numerical applications.

Subjects

OpenMP 3.0 | OpenMP 3.0 | MPI | MPI | Shared memory Programming | Shared memory Programming | Hybrid Programming | Hybrid Programming | MPI Runtime | MPI Runtime | Parallel Programming | Parallel Programming | data scoping | data scoping

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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12.950 Parallel Programming for Multicore Machines Using OpenMP and MPI (MIT)

Description

This course introduces fundamentals of shared and distributed memory programming, teaches you how to code using openMP and MPI respectively, and provides hands-on experience of parallel computing geared towards numerical applications.

Subjects

OpenMP 3.0 | MPI | Shared memory Programming | Hybrid Programming | MPI Runtime | Parallel Programming | data scoping

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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18.337J Parallel Computing (MIT) 18.337J Parallel Computing (MIT)

Description

This is an advanced interdisciplinary introduction to applied parallel computing on modern supercomputers. It has a hands-on emphasis on understanding the realities and myths of what is possible on the world's fastest machines. We will make prominent use of the Julia Language, a free, open-source, high-performance dynamic programming language for technical computing. This is an advanced interdisciplinary introduction to applied parallel computing on modern supercomputers. It has a hands-on emphasis on understanding the realities and myths of what is possible on the world's fastest machines. We will make prominent use of the Julia Language, a free, open-source, high-performance dynamic programming language for technical computing.

Subjects

cloud computing | cloud computing | dense linear algebra | dense linear algebra | sparse linear algebra | sparse linear algebra | N-body problems | N-body problems | multigrid | multigrid | fast-multipole | fast-multipole | wavelets | wavelets | Fourier transforms | Fourier transforms | partitioning | partitioning | mesh generation | mesh generation | applications oriented architecture | applications oriented architecture | parallel programming paradigms | parallel programming paradigms | MPI | MPI | data parallel systems | data parallel systems | Star-P | Star-P | parallel Python | parallel Python | parallel Matlab | parallel Matlab | graphics processors | graphics processors | virtualization | virtualization | caches | caches | vector processors | vector processors | VHLLs | VHLLs | Very High Level Languages | Very High Level Languages | Julia programming language | Julia programming language | distributed parallel execution | distributed parallel execution

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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RES.TL-002 STAR: Software Tools for Academics and Researchers (MIT) RES.TL-002 STAR: Software Tools for Academics and Researchers (MIT)

Description

The Software Tools for Academics and Researchers (STAR) program at MIT seeks to bridge the divide between scientific research and the classroom. Understanding and applying research methods in the classroom setting can be challenging due to time constraints and the need for advanced equipment and facilities. The multidisciplinary STAR team collaborates with faculty from MIT and other educational institutions to design software exploring core scientific research concepts. The goal of STAR is to develop innovative and intuitive teaching tools for classroom use. All of the STAR educational tools are freely available. To complement the educational software, the STAR website contains curriculum components/modules which can facilitate the use of STAR educational tools in a variety of educational The Software Tools for Academics and Researchers (STAR) program at MIT seeks to bridge the divide between scientific research and the classroom. Understanding and applying research methods in the classroom setting can be challenging due to time constraints and the need for advanced equipment and facilities. The multidisciplinary STAR team collaborates with faculty from MIT and other educational institutions to design software exploring core scientific research concepts. The goal of STAR is to develop innovative and intuitive teaching tools for classroom use. All of the STAR educational tools are freely available. To complement the educational software, the STAR website contains curriculum components/modules which can facilitate the use of STAR educational tools in a variety of educational

Subjects

structural biology | structural biology | molecular 3-D viewer | molecular 3-D viewer | Protein Data Bank | Protein Data Bank | genetic cross | genetic cross | genetic cross simulator | genetic cross simulator | DNA | DNA | ORF | ORF | Open Reading Frame | Open Reading Frame | genomic gene expression | genomic gene expression | microarray analysis | microarray analysis | hydrological analysis | hydrological analysis | watersheds | watersheds | molecular dynamics | molecular dynamics | atomistic materials modeling | atomistic materials modeling | distributed computer cluster | distributed computer cluster | Elastic Compute Cloud | Elastic Compute Cloud | EC2 | EC2 | parallel programming | parallel programming | OpenMP | OpenMP | OpenMPI | OpenMPI

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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Conceptualizing and Measuring Immigration Policies: The Immigration Policies in Comparison (IMPIC) Index

Description

This seminar discusses the Immigration Policies in Comparison (IMPIC) Index. This project builds a dataset on immigration policies in all OECD countries for the period 1980-2010. It will open a completely new research field and allow researchers to study the causes and effects of immigration policies and developments across time more systematically. Contrary to existing indices this index will be conceptually more comprehensive and distinguish between (1) all relevant policy fields, (2) regulations that create/constrain rights and control mechanisms, (3) external regulations that concern border crossing and thus eligibility criteria and conditions and internal regulations that concern the status and rights of immigrants. Wales; http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

Subjects

migration | immigration | compas | politics | IMPIC | migration | immigration | compas | politics | IMPIC | 2014-03-05

License

http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

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18.337J Parallel Computing (MIT)

Description

This is an advanced interdisciplinary introduction to applied parallel computing on modern supercomputers. It has a hands-on emphasis on understanding the realities and myths of what is possible on the world's fastest machines. We will make prominent use of the Julia Language, a free, open-source, high-performance dynamic programming language for technical computing.

Subjects

cloud computing | dense linear algebra | sparse linear algebra | N-body problems | multigrid | fast-multipole | wavelets | Fourier transforms | partitioning | mesh generation | applications oriented architecture | parallel programming paradigms | MPI | data parallel systems | Star-P | parallel Python | parallel Matlab | graphics processors | virtualization | caches | vector processors | VHLLs | Very High Level Languages | Julia programming language | distributed parallel execution

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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RES.TL-002 STAR: Software Tools for Academics and Researchers (MIT)

Description

The Software Tools for Academics and Researchers (STAR) program at MIT seeks to bridge the divide between scientific research and the classroom. Understanding and applying research methods in the classroom setting can be challenging due to time constraints and the need for advanced equipment and facilities. The multidisciplinary STAR team collaborates with faculty from MIT and other educational institutions to design software exploring core scientific research concepts. The goal of STAR is to develop innovative and intuitive teaching tools for classroom use. All of the STAR educational tools are freely available. To complement the educational software, the STAR website contains curriculum components/modules which can facilitate the use of STAR educational tools in a variety of educational

Subjects

structural biology | molecular 3-D viewer | Protein Data Bank | genetic cross | genetic cross simulator | DNA | ORF | Open Reading Frame | genomic gene expression | microarray analysis | hydrological analysis | watersheds | molecular dynamics | atomistic materials modeling | distributed computer cluster | Elastic Compute Cloud | EC2 | parallel programming | OpenMP | OpenMPI

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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