anibrya vynyta barkleigh
Margorie Gomoran
Course provides an in-depth analysis of computer architecture techniques. Topics include high speed computing techniques, memory systems, pipelining, vector machines, parallel processing, multiprocessor systems, high-level language machines and data flow computers.
2. ( Not Applicable ) An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors
4. ( Not Applicable ) An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts
5. ( Not Applicable ) An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives
Outcome 1 (Students will demonstrate expertise in a subfield of study chosen from the fields of electrical engineering or computer engineering):
1.Design and analyze pipelined processors with advanced techniques such as out-of-order execution and speculation
2.Design cache-based memory systems for both uniprocessors and multiprocessors
Outcome 2 (Students will demonstrate the ability to identify and formulate advanced problems and apply knowledge of mathematics and science to solve those problems):
1.Analytically model latency and throughput for processors and caches
Outcome 3 (Students will demonstrate the ability to utilize current knowledge, technology, or techniques within their chosen subfield):
1.Understand the implication of Moore's Law / Technology Scaling on performance and power of modern processors
This course studies parallel computer architectures including architectures of bus-based symmetric multiprocessors and general-interconnection network based multiprocessor systems. Topics include programming models (with emphasis on shared memory and message passing) partitioning, load balancing, scheduling, synchronization, cache coherence and memory consistency models.
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While traditionally hardware was assumed to be trustworthy and secure, recent cyber attackshave revealed that this assumption is no longer valid and that new efforts are required to ensure this trustworthiness.Designing hardware systems that are resilient against these attack threats, however,requires a thorough understanding of the root causes of these vulnerabilities.
This graduate-level course provides an in-depth exploration of advanced microarchitecture concepts and secure computing techniques. Through a comprehensive review of fundamental topics and examination of cutting-edge developments, students will gain a solid understanding of the complex interactions between hardware and software in modern computer systems. The first several classes will feature lectures from the instructor to give proper background. The body of the course will be readings, presentations, and discussions of late-breaking (primarily last several years) papers in the field and (possibly) guest lectures from the industry. The course will feature several computer assignments and a final project.
This course examines the techniques and underlying principles that are used to design high-performance computers and processors. Particular emphasis is placed on understanding the trade-offs involved when making design decisions at the architectural level. A range of processor architectures are explored and contrasted. In each case we examine their merits and limitations and how ultimately the ability to scale performance is restricted.
The module aims to provide students with a fundamental knowledge of computer hardware and computer systems, with an emphasis on system design and performance.
There is a prerequisite of CS132 Computer Organisation and Architecture.
This module is only available to students in the second year of their degree and is not available as an unusual option to students in other years of study.
The module aims to provide students with a fundamental knowledge of computer hardware and computer systems, with an emphasis on system design and performance. The module concentrates on the principles underlying systems organisation, issues in computer system design, and contrasting implementations of modern systems. The module is central to the aims of the Computing Systems degree course, for which it is core.
Background reading of concepts covered in the module from recommended reading and realised research papers.
Consultation of technical manuals covering specific architectures for the purposes of the coursework.
Exam revision.
Prerequisite: CMPSC 154 or ECE 154.
Advanced instruction set architectures, pipelining, dynamic scheduling, branch prediction, superscalar issue, out-of-order execution, memory-hierarchy design, advanced cache architectures and prefetching. Several real designs are dissected and simulators are developed for performing quantitative evaluations of design decisions.
This module covers the development of modern computer architectures for servers, workstations, hand-held devices, signal processing and embedded systems from the introduction of the four-stage RISC pipeline to the present day.
CSCI 564 is a course covering advanced topics in computer architecture,including pipelining, caching, virtual memory, storage, multi-core processingand power. We will focus on understanding the various options available tocomputer architects when designing computer systems, with an emphasis ondeveloping quantitative justifications for those options.
It is highly recommended that you use Linux for all of the projects in thiscourse. If you choose to use a different type of system (such as macOS orWindows), the instructor nor the TAs will not be able to assist you with anyplatform-specific issues.
All projects will be due at 23:59 of the day listed on the schedule. The penaltyfor late submissions is 20% per day. If you need an extension for any reason,email the instructor to work something out.
Most programming assignments have an auto-graded component where a portion ofyour grade is calculated immediately upon submission. The grading scripts aredesigned to mark all fully correct programs as correct, and do the best jobpossible assigning partial credit where applicable. However, under some cases,you may not receive as many points as you deserve. If you believe this to be thecase, contact the course instructor so they can either fix the autograder tohandle your case better, or manually grade your assignment.
You are only allowed 3 submissions on autograded homework. This is because yourgrade is received quickly after submitting, and it may be tempting to use theautograder as the only means of testing. Students are expected to test theirown code before submitting. If you run out of submissions and need more, thencontact the instructor.
The Colorado School of Mines is committed to ensuring the full participation ofall students in its programs, including students with disabilities. If you areregistered with Disability Support Services (DSS) and your instructor hasreceived your letter of accommodations, please contact your instructor at yourearliest convenience so you can discuss your needs in this course. Forquestions or other inquiries regarding disabilities, we encourage you to visitDisability Support Services (DSS) for more information.
This course is an advanced course for Master's and PhD students, and it is lectured in English. The course is offered during the spring term by the DTU Compute department at the Technical University of Denmark.
Computer architecture, the art and science of designing hardware, is an exciting and fast changing research and development field. In this course we intend to transfer this excitement to the students.
Students will learn the organization and design of contemporary processor architectures. The foundations such as instruction set, pipelining, and memory hierarchies are reviewed. We will cover advanced concepts such as instruction-level parallelism, out-of-order execution, and chip-multiprocessing. As the current trend in computer architecture is towards chip-multiprocessing, the architecture of shared memory multiprocessors and chip level interconnect (network-on-chip) will be a central focus of the course.
Most processors (99+%) are used in embedded systems, and many of those embedded systems are real-time systems. Therefore, processors need to be designed in a way that worst-case execution time analysis is feasible. We will cover current research in the field of time-predictable architectures.
This course focuses on computer achitecture from the perspective of ahigh performance programmer. It is aimed at students looking todemistify the process of coding, profiling, and optimizing algorithms,with a particular focus on systems geared toward performance intensivecomputing: clusters, Multicore CPUs, GPUs, RISC-V, ARM, TPUs, etc. Thefundamental principles of computer architecture will be covered indepth, but an equal emphasis will be given to hands-on experience inlearning how measure, tune, and report performance on common HPCresources. While a key outcome of the course is the ability to writemore efficient code, the more enduring goal is to educate students to"see their code" from the hardware's perspective, broadening anddeepening their understanding of programming with potential benefitsacross a broad range of disciplines.Topics include:-history of HPC architectures-efficient programming for cache-based serial processors-MIMD and cache coherency-efficient programming for multicore processors-SIMD and vector instructions-GPU memory and cores-TPUs, matrix engines, systolic arrays-ARM
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