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Computer Science

Parallel Computing

Amdahl's Law and Gustafson's Law

Basic Parallel Computing Terminology

Benchmarking Parallel Code

CUDA Basics for GPU Parallel Programming

Deadlocks and Livelocks

Data Locality in Parallel Algorithms

Fault Tolerance in Parallel Systems

GPU Programming Basics

Introduction to High-Performance Computing (HPC)

Locks, Mutexes, and Semaphores

Message Passing vs Shared Memory

Parallel Computing Patterns

Parallel Algorithms for Data Structures

Parallel File Systems

Parallel Computing Algorithms

Parallel Computing in Cloud Environments

Parallel Computer Architectures

Parallel Sorting Algorithms

OpenMP Directives and Clauses

Parallel Computing with Python and multiprocessing

Parallel Programming Libraries

Types of Parallelism in Computing

Speedup and Efficiency in Parallel Systems

Shared Memory Programming with Pthreads

Task and Data Parallelism

Parallel Computing in Cloud Environments

Flashcards

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Scalability

Enables dynamic allocation of resources for parallel tasks

Elasticity

Allows systems to adapt to workload changes with minimal delay

Virtualization

Provides the infrastructure for running parallel computing tasks

Infrastructure as a Service (IaaS)

Serves as the foundation for developing and executing parallel applications

Platform as a Service (PaaS)

Offers a development platform for parallel computing applications

Software as a Service (SaaS)

Delivers parallel computing applications as a service

Distributed Computing

Involves running parallel computations over a distributed system

Load Balancing

Essential for distributing workloads across parallel computing resources

High-Performance Computing (HPC) in the Cloud

Cloud platforms provide resources necessary for HPC workloads

Fault Tolerance

Cloud systems design to handle failures affecting parallel computation

MapReduce

Programming model suitable for parallel processing in cloud environments

Data Locality

Optimizes resource utilization by moving computation closer to data

Microservices Architecture

Enables scalable and parallel cloud-native application development

Serverless Computing

Abstracts server management for parallel processing tasks

Containers

Supports encapsulation of parallel tasks for cloud deployment

Cloud Storage

Facilitates data access and management for parallel computing

Green Computing

Cloud computing optimizes energy usage for parallel computing processes

Utility Computing

Provides a pay-as-you-go model for parallel processing resources

Multi-Tenancy

Enables resource sharing among multiple parallel computing tasks

Cloud Service Brokers

Mediate between consumers and providers to optimize parallel computing

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