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Computer Architectures

Számítógép-architektúrák
A tantárgyleírás hatályossága
Hatályosság kezdete:
2026. March 21.
Hatályosság vége:
Subject name (Hungarian, English)
Számítógép-architektúrák
Computer Architectures
Subject code BMEVIHIAA00
Subject type
Training Level
Course types and hours (weekly/semester)
Course type lecture tutorial laboratory
hours (weekly) 3 1 0
type (linked/independent) derived course
Assessment type vizsga
Credits 5
Subject coordinator
DR. Horváth Gábor
position: egyetemi tanár
Responsible department
Hálózati Rendszerek és Szolgáltatások Tanszék
Faculty Villamosmérnöki és Informatikai Kar
Subject website
Primary curriculum type
Direct prerequisites – Strong prerequisite none
Direct prerequisites – Weak prerequisite none
Direct prerequisites – Parallel prerequisite none
Direct prerequisites – Milestone prerequisite none
Direct prerequisites – Exclusion none

Objectives

Programme
The topics of the lectures:

Introductory topics. Information processing models. Control driven architectures: Neumann, Harvard and modified Harvard architectures. Instruction set architectures, CISC and RISC strategies.
 
I/O devices. Dedicated I/O instructions vs memory mapped communication. Flow control. Processing the signals of the peripherals: polling, interrupt, interrupt in multi-processor environment, interrupt moderation. Decreasing the load of the CPU: DMA, I/O processor. I/O peripheral interconnects: busses, point-to-point connections, serial vs. parallel lines, timing, arbitrations. Systems with a single bus, multiple busses, south- and north bridge. PCI, PCI Express and USB peripheral interfaces.

Mass storage drives. The main operation of hard disk drives: physical background, sectors, zoned bit recording. Components of the delay of read and write requests. Command queueing. The physical operation of SSDs. Aging, data unit of operations, the unique implementation of the write requests. The tasks of the SSD controller: garbage collection, wear leveling, data compression, over-provisioning.

Memory systems. Synchronous DRAM based system memory: the role of the memory controller, memory modules, ranks, and banks. The DRAM commands and their timing, out-of-order scheduling of the commands. Virtual memory: address translation, TLB, page table implementations, single-level, multi-level and inverse page tables. Address space separation. Cache memory: the locality of references, cache organization, relation with the virtual memory. Cache content management: pollution avoidance, pre-fetch, block replacement algorithms. Locality aware programming techniques.
 
Processor. Pipeline instruction processing. The hazards and their resolutions. The implementation details of a simple 5-stage instruction pipeline. Exceptions, precise exceptions in an instruction pipeline. Introducing multiple functional units with non-equal    delay. Dynamic instruction scheduling (out-of-order execution). The precedence graph and the data-flow execution of the instructions. The role of the instruction window, register renaming and re-order buffer. The Tomasulo algorithm. Wide pipelines: superscalar, VLIW and EPIC architectures. Branch prediction: predicting the outcome and the target address of branches. Branch prediction aware programming.
 
Parallel processing. Data parallelism: vector processors, SIMD instructions, array processors. Multiprocessor systems: the notion of explicit parallelism, multi-threaded processors. Classification of multiprocessor systems. Interconnects. Shared memory in multiprocessor systems: cache coherence and memory consistency problems and typical solutions.

The small numerical examples solved at the classroom practices contribute to the better understanding of the material presented at the lectures.

The objective of the course is to provide deep knowledge to the students on the internals, operation and properties of computers. Getting familiar with the characteristics of the hardware allows to develop efficient software that utilizes the computer’s resources as much as possible.

Learning outcomes

Ez a tantárgy a KKK rendeletben meghatározott, következő kompetenciák fejlesztését szolgálja:

Knowledge

No learning outcomes recorded.

Skills

No learning outcomes recorded.

Attitudes

No learning outcomes recorded.

Autonomy and responsibility

No learning outcomes recorded.

Oktatási módszertan

Lectures: one lecture every week, and one additional lecture every second week Classroom practices: one practice every second week

Tanulástámogató anyagok

Online források
Lecture slidesDavid A. Patterson, John L. Hennessy. Computer Organization and Design, Morgan Kaufmann Publishers, 2011.Jean-Loup Baer. Microprocessor Architecture, Cambridge University Press, 2010.Bruce Jacob, Spencer W. Ng, Samuel Rodriguez. Memory Systems, Morgan Kaufmann Publishers, 2008.William Stallings. Computer Organization and Architecture, 2012.

Recommended preliminary knowledge for completing the subject

Knowledge type competencies
(azon előzetes ismeretek összessége, amelyek megléte nem kötelező, de a tantárgy eredményes teljesítését nagyban elősegíti)
Digital design, Basics of Programming 1.
Skill type competencies
(azon előzetes képességek és készségek összessége, amelyek megléte nem kötelező, de a tantárgy eredményes teljesítését nagyban elősegíti)
nincs
Recommended (non-compulsory) preliminary competencies
(azon ajánlott (nem kötelező) előzetesen megszerzendő kompetenciák összessége, amelyek jelentősen hozzájárulnak a tantárgy eredményes teljesítéséhez)
Digital design, Basics of Programming 1.
General rules
Requirements: a)      Mid-semester assessments: It is compulsory to visit the classroom practices; the presence is checked every time. There are two mid-term tests as well. The requirements of the signature are the successful completion of the two in-class tests (including re-take exam), and the attendance in 70% of the classroom practices. b)      In the exam period: The successful completion of the exam is necessary to get a grade. Additional possibilities: It is possible to re-take the mid-term tests in the last week of the semester and in the re-take week.
Assessment methods
In-term assessments

No detailed assessments provided.

Weight of in-term assessments

No weights provided.

Exam-period assessments

No detailed assessments provided.

Weight of exam elements

No weights provided.

Grade calculation

No grade thresholds provided.

Attendance requirements

No attendance requirements provided.

Rules for retake and resubmission

Not provided.

Short description

Not provided.

Detailed description

Not provided.

Recommended courses
Signature from Digital Design
Workload to complete the subject

No workload breakdown provided.

Validity of subject requirements
Requirements valid from:
Requirements valid until:
Curriculum placement

No curriculum placements recorded for this subject version.