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Before we get to how to run parallel jobs, let's talk about the different forms, since a person must keep these straight in order to run ...

Victor Yu & Marco Govoni GPU Accleration of the WEST Code for Large-Scale Full-Frequency GW Calculations.

You can take a look at the way the memories are located and the way the data is processed. The regular array syntax for the ...

Aalto University course CS-E4580 Programming Parallel Computers. Lecture 6, part C: Pointer jumping.

Week 3: Lecture 1: Need for Parallel Computing.

This video is part of the virtual useR! 2021 conference. Find supplementary material on our website https://user2021.r-project.org/.

Aalto University course CS-E4580 Programming Parallel Computers. Lecture 4, part A: GPU programming.

Aalto University course CS-E4580 Programming Parallel Computers. Lecture 2, part C: How to benefit from vector operations?

Running programs in parallel: that's what everyone thinks they want to use a cluster for. But there are actually different ways this ...

Parallel Computer Architecture Playlist Link: https://onlinecourses.nptel.ac.in/noc24_cs63/preview Prof. Hemangee K. Kapoor ...

David Hardy (NAMD) Massively Parallel MD Simulations using NAMD.

Part of the Nvidia HPC SDK Training, Jan 12-13, 2022. Slides and more details are available at ...

Aalto University course CS-E4580 Programming Parallel Computers. Lecture 1, part C: Sample application. Memory access ...

Aalto University course CS-E4580 Programming Parallel Computers. Lecture 3, part B: Reusing data in registers.

A follow up to the shared memory parallelism exercises after the previous talk. https://scicomp.aalto.fi/triton/tut/parallel-shared/ ...

Aalto University course CS-E4580 Programming Parallel Computers. Lecture 1, part B: Course practicalities 2021.

Aalto University course CS-E4580 Programming Parallel Computers. Lecture 6, part A: Designing parallel algorithms.

Aalto University course CS-E4580 Programming Parallel Computers. Lecture 5, part A: Warps, blocks, and shared memory.

Shared memory or multiprocessing parallelism can scale to one node and allow communication between processors on a node.

And of course the parallel programming API that we use OpenMP, OpenACC or any other one, we need to learn the rules and we ...