HIGH PERFORMANCE COMPUTING FOR APPLICATIONS IN ENGINEERING

COMPSCI 557

A comprehensive yet accessible introduction to high-performance computing practices, emphasizing shared-memory systems and using numerical algorithms as case studies. A focus on shared-memory, single-node multiprocessor systems, with some attention to GPUs. Emphasis is given on multithreaded programming, vectorization, memory hierarchy and its implications, and analysis of performance-limiting factors.

COMPSCI/ECE 752

Processor design, computer arithmetic, pipelining, multi-operation processors, vector processors, control units, precise interrupts, main memory, cache memories, instruction set design, stack machines, busses and I/O, protection and security. Students are strongly encouraged to have knowledge of computer architecture (e.g.,E C E/​COMP SCI  552).

COMPSCI/ECE 757

Parallel algorithms, principles of parallelism detection and vectorizing compilers, interconnection networks, MIMD machines, processor synchronization, data coherence, multis, dataflow machines, special purpose processors. Students are strongly encouraged to have knowledge of computer architecture (e.g.,E C E/​COMP SCI  552).

COMPSCI 758

Advanced topics in computer architecture that explore the implications to architecture of forthcoming evolutionary and revolutionary changes in application demands, software paradigms, and hardware implementation technologies. Students are strongly encouraged to have knowledge of computer architecture (e.g.,E C E/​COMP SCI  552).

ME 459

An overview of computing concepts that support modeling and simulation in engineering applications. Learn the basics of computer architecture, software development and the interplay between software and hardware components.