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Parallel Distributed Systems: Concepts and Introduction

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Parallel Distributed Systems: Concepts and Introduction

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Questions and Answers

What does HPC stand for?

High Processing Core

High Performance Computing (correct)

High Processing Capability

High Productivity Center

Why is greater computing power needed in scientific simulation and modeling?

To avoid the need for big data analytics

To reduce the cost of computing resources

To minimize the use of parallel processing

To simulate and model complex physical phenomena (correct)

What is the main challenge with single-core processors in simulations and modeling?

They are too expensive to produce

They cannot provide enough resources for the simulations needed (correct)

They have slow clock speeds

They have limited memory capabilities

What is the solution to heavy memory loads in serial/sequential computing?

Parallel computing – divide up the work among numerous linked systems Signup and view all the answers

What is the primary challenge in making processors with faster clock speeds?

It is difficult due to cost and power/heat limitations Signup and view all the answers

What is the primary goal of High Performance Computing (HPC)?

To solve large problems in science and engineering Signup and view all the answers

Why can't single-core processors meet the resource requirements for simulations and modeling?

They have limitations in clock speed and power/heat Signup and view all the answers

What is the main challenge in increasing the clock speed of processors for simulations and modeling?

Power and heat limitations Signup and view all the answers

What distinguishes parallel computing from serial/sequential computing?

Division of work among multiple linked systems Signup and view all the answers

Why is there a need for greater computing power in scientific simulation and modeling?

To meet the resource demands of complex systems and behaviors Signup and view all the answers

Study Notes

High Performance Computing (HPC) is a practice of aggregating computing power to solve large problems in science, engineering, simulation, modeling, or big data analytics.
HPC involves multiple interrelated disciplines, including technology, methodology, and application, to achieve the greatest computing capability at any given time.
Scientific simulation and modeling, complex physical phenomena, biological complex systems, and complex social behaviors require greater computing power as single-core processors cannot handle the resources needed.
Parallel computing is a solution to the heavy load in serial/sequential computing by dividing up the work among numerous linked systems.
Making processors with faster clock speeds or putting huge memory on a single processor is difficult due to cost and power/heat limitations.

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Description

Test your knowledge of the concepts covered in Lecture 1 of Parallel Distributed Systems, including parallel processing, concurrency, multiprocessing, multitasking, and distributed systems introduction. Learn about high performance computing (HPC) and its applications in science and engineering.