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蒙纳什大学马来西亚校区 / 课程

FIT3143

Parallel computing

6 credit pointsLevel 3Second semesterMalaysiaFaculty of Information Technology

基本信息

学分6 credit points
开课学期Second semester
校区Malaysia
考核构成
Applied Problem Solving Tasks (Quiz)50%
Applied Sessions20%
Laboratories30%

开课安排1

教学期授课方式状态
Second semesterTeaching activities are on-campus (ON-CAMPUS)开课

以上为该校区在官方资料中登记的全部开课安排,不是汇总。同一门课可能在多个 教学期开课,也可能不同教学期的授课方式不同。

课程简介

Modern computer systems contain parallelism in both hardware and software. This unit covers parallelism in both general purpose and application specific computer architectures and the programming paradigms that allow parallelism to be exploited in software. The unit examines shared memory and message passing paradigms in hardware and software; concurrency, multithreading and synchronicity; parallel, clustered and distributed supercomputing algorithms, languages and software tools and development environments. You will learn to design and develop parallel algorithms in these paradigms, and apply technical writing and presentation to communicate parallel computing.

以上为 Monash Handbook 的官方原文,版权属 Monash University,此处按本站要求转载并标注出处: 官方页面 ↗

学习成果7

官方原文(Learning outcomes),版权属 Monash University。

  1. ULO1 Examine the design principles of parallel computing architectures;
  2. ULO2 Evaluate and contrast different types of parallel architectures using Flynn's taxonomy;
  3. ULO3 Analyse the design principles of distributed parallel computing systems;
  4. ULO4 Criticise and assess common performance models used for parallel applications;
  5. ULO5 Research and solve synchronisation problems typical in the design of parallel applications;
  6. ULO6 Compare the fundamental principles of parallel hardware using vector processing, Graphics Processing Units (GPU) and Neural Processing Units (NPU);
  7. ULO7 Judge modern parallel computing applications and the impact of exponential growth in hardware

教学方式与预期工作量

教学方式

Active learning

预期工作量

This unit has a requirement of 1-2 hours per week of asynchronous learning.

Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled online and face to face learning activities and independent study. Independent study may include associated reading and preparation for scheduled teaching activities.

官方原文,版权属 Monash University。

先修 / 同修要求

以下先修关系按官方来源的结构化先修字段解析,原始记号:FIT2004

FIT2004Algorithms and data structures

先修链路

按官方先修字段的原始分组展开,AND / OR 的区别保留着—— 「A 或 B」和「A 与 B」在选课时是两回事。每门课点进去可以继续往下看。

FIT2004Algorithms and data structures6 cp
以下全部都要
满足其中一项
FIT1008Fundamentals of algorithms6 cp
以下全部都要
满足其中一项
FIT1045Introduction to programming6 cp
FIT1053本站暂无这门课的数据
满足其中一项
FIT1058Foundations of computing6 cp
MAT1830Discrete mathematics for computer science6 cp
FIT1054本站暂无这门课的数据
FIT2085Fundamentals of algorithms for engineers6 cp
以下全部都要
满足其中一项
FIT1058Foundations of computing6 cp
MAT1830Discrete mathematics for computer science6 cp
满足其中一项
FIT1045Introduction to programming6 cp
FIT1053本站暂无这门课的数据
以下全部都要
ENG1013Engineering smart systems6 cp
ENG1014Engineering numerical analysis6 cp
满足其中一项
MAT1830Discrete mathematics for computer science6 cp
FIT1058Foundations of computing6 cp

数据来源

数据来源
官方网页
handbook.monash.edu
抓取时间
2026-09-13
可信度
程序抓取,未人工核实

查看官方完整描述 ↗ — 事实性字段(代码、学分、教学期、授课方式、考核权重、先修/同修/互斥关系)与 课程简介、学习成果、教学方式、预期工作量均取自官方 Handbook; 正文版权属 Monash University,此处转载并逐处标注出处。

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