MPCS 52018 Advanced Computer Architecture (Spring 2023)

Section 1
Instructor(s) Siegel, Andrew (siegela)
Location Crerar
Meeting Times Monday 5:30pm - 8:30pm
Fulfills Core Systems Elective

Syllabus

This course focuses on computer achitecture from the perspective of a
high performance programmer. It is aimed at students looking to
demistify the process of coding, profiling, and optimizing algorithms,
with a particular focus on systems geared toward performance intensive
computing: clusters, Multicore CPUs, GPUs, RISC-V, ARM, TPUs, etc. The
fundamental principles of computer architecture will be covered in
depth, but an equal emphasis will be given to hands-on experience in
learning how measure, tune, and report performance on common HPC
resources. While a key outcome of the course is the ability to write
more efficient code, the more enduring goal is to educate students to
"see their code" from the hardware's perspective, broadening and
deepening their understanding of programming with potential benefits
across 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

-RISC-V 
 
Students who have taken MPCS 52010 Computer Archtiecture can not take this course.

Course Prerequisites

Required: B+ or higher in Core Programming. Assignments in this class
can be done in any programming language. Some assignments will involve
manipulating basic snippets of C code, so some basic knowledge of C is
assumed (however, students do not need to be proficient in C to take
this class)

Other Prerequisites

MPCS 52011 Introduction to Computer Systems recommended.

This course requires competency in Unix and Linux. If you attended the MPCS Unix Bootcamp you covered the required material. If you did not, please review the UChicago CS Student Resource Guide here: https://uchicago-cs.github.io/student-resource-guide/.

Overlapping Classes

This class is scheduled at a time that conflicts with these other classes:

  • MPCS 51400-2 -- Functional Programming
  • MPCS 51083-2 -- Cloud Computing
  • MPCS 51050-1 -- OO Architecture: Patterns, Technologies, Implementations

Eligible Programs

Masters Program in Computer Science MS in Computational Analysis in Public Policy (Year 2) MA in Computational Social Science (Year 2) Bx/MS in Computer Science (Option 2: Professionally-oriented - CS Majors) Bx/MS in Computer Science (Option 3: Profesionally-oriented - Non-CS Majors)