Introduction to HPC

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Check your knowledge of the concepts from the Introduction to HPC module

1) Supercomputing: What, Why, Who?

Supercomputers are specialized systems. Which of the following components are part of a supercomputer? (Select all that apply.)

Display screen

GPUs

Headphone jack

Keypad

Storage for large datasets or large files

Mouse

Shared file system

Scheduler

Specialized network

Thousands of CPUs

The range of research and business projects that use Supercomputers covers all disciplines. What prompts people to use supercomputers? (Select all that apply.)

Solution requires hundreds or thousands of trials so it takes a long time to complete.

The application memory requirements are greater than the memory of a single machine so it needs to be distributed over many machines

The application take a long time to run and has high memory requirements.

2) Supercomputing Workflows

What is the key characteristic of High Throughput workflows?

Independent Processing

Independent proecssing stage followed by a reduction(gather) and serial processing stage

Multi-stage workflow where separate stages can have parallel or loosely-couple workflows

Processing that requires sharing intermediate results across many machines (compute cores)

What is the key characteristic of Loosely Coupled workflows?

Independent Processing

Independent proecssing stage followed by a reduction(gather) and serial processing stage

Multi-stage workflow where separate stages can have parallel or loosely-couple workflows

Processing that requires sharing intermediate results across many machines (compute cores)

What is the key characteristic of Parallel Computing workflows?

Independent Processing

Independent proecssing stage followed by a reduction(gather) and serial processing stage

Multi-stage workflow where separate stages can have parallel or loosely-couple workflows

Processing that requires sharing intermediate results across many machines (compute cores)

What is the key characteristic of Task Parallel workflows?

Independent Processing

Independent proecssing stage followed by a reduction(gather) and serial processing stage

Multi-stage workflow where separate stages can have parallel or loosely-couple workflows

Processing that requires sharing intermediate results across many machines (compute cores)

High Throughput, Loosely-coupled (single dependency) and parallel computing workflows share which common programming model?

Multiple Program Multiple Data

Single Program Multiple Data