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High Performance Computing

High Performance Computing. Instructor: Prof. Matthew Jacob, Department of Computer Science and Automation, IISc Bangalore. The objective of this course is to learn how to improve the quality of the programs that you write for execution on high performance computer systems. The course discusses the various activities that happen during program execution, and how they are managed by the hardware (architectural features) and system software (operating systems, run-time systems). (from nptel.ac.in)

Lecture 06 - A RISC Instruction Set (cont.)

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Program Execution

Lecture 01 - Programs and Data

Lecture 02 - Data Representation

Computer Organization

Lecture 03 - Registers and Memory

Lecture 04 - Instructions, Addressing Modes

Lecture 05 - A RISC Instruction Set

Lecture 06 - A RISC Instruction Set (cont.)

Lecture 07 - Function Call and Return

Lecture 08 - Function Call and Return (cont.)

Lecture 09 - Instruction Execution

Lecture 10 - Instruction Execution (cont.)

Operating Systems

Lecture 11 - Software Organization

Lecture 12 - System Calls

Lecture 13 - Virtual Memory

Lecture 14 - Virtual Memory (cont.)

Lecture 15 - Virtual Memory (cont.)

Process Management

Lecture 16 - Process

Lecture 17 - Process Scheduling

Lecture 18 - Process Lifetime

Lecture 19 - Interprocess Communication

Lecture 20 - Concurrent Programming

Pipelined Processors

Lecture 21 - Pipelining

Lecture 22 - Pipeline Hazards

Lecture 23 - Pipeline Hazards (cont.)

Lecture 24 - Pipeline Hazards (cont.)

Cache Memory

Lecture 25 - Cache Memory

Lecture 26 - Memory Hierarchy

Lecture 27 - Cache Operation

Lecture 28 - Cache Operation (cont.)

Lecture 29 - Cache Aware Programming

Lecture 30 - Cache Aware Programming (cont.)

Lecture 31 - More on Cache

Program Timing and Profiling

Lecture 32 - Measuring Time

Lecture 33 - Program Profiling

File Systems

Lecture 34 - Secondary Storage

Lecture 35 - Files and Disks

Lecture 36 - Directories

Lecture 37 - Protection and Performance

Parallel Programming

Lecture 38 - Parallel Architecture

Lecture 39 - Cache Coherence

Lecture 40 - MPI Programming

Lecture 41 - MPI Programming (cont.)