Parallel Programming Concepts (WT 2012/13)

Dr. Peter Tröger

Since the very beginning of computers, processors were build with ever-increasing clock frequencies and instruction-level optimizations for faster serial code execution, such as ILP, caches, or speculative engines. Software developers and industry got used to the fact that applications get faster by just exchanging the underlying hardware. For several years now, these rules are proven to be no longer valid. Moore's law about the ever-increasing number of transistors per die is still valid, but decreased structural sizes and increased power consumption demand stalling, or even reduced, clock frequencies. Due to this development, serial execution performance no longer improves automatically with the next processor generation.

In the 'many-core era' that happens now, additional transistors are used not to speed up serial code paths, but to offer multiple execution engines ('cores') per processor. This changes every desktop-, server-, or even mobile system into a parallel computer. The exploitation of additional transistors is therefore now the responsibility of software, which makes parallel programming a mandatory approach for all software with scalability demands.

Successor of this series: Parallel Programming Concepts (WT 2013/14)



Date: October 22, 2012
Language: English
Duration: 01:26:25
Views: 229

Theory of Concurrency

Motivation and Shared Memory

Date: October 29, 2012
Language: English
Duration: 01:29:28
Views: 231

Locks and Monitors

Date: November 5, 2012
Language: English
Duration: 01:27:08
Views: 298


Date: November 12, 2012
Language: English
Duration: 01:22:09
Views: 269

Parallel Computers

Date: November 19, 2012
Language: German
Duration: 01:25:23
Views: 226

Programming Models

Programming Models

Date: November 26, 2012
Language: English
Duration: 01:22:24
Views: 237

Multicomputer Systems

Date: December 10, 2012
Language: German
Duration: 01:29:37
Views: 209

From Threads to Tasks


Date: December 17, 2012
Language: English
Duration: 01:33:04
Views: 214

GPU Computing

GPU Computing with OpenCL

Date: January 7, 2013
Language: German
Duration: 01:07:21
Views: 213

GPU Computing Devices

Date: January 14, 2013
Language: German
Duration: 01:26:34
Views: 231

Message Passing

Message Passing

Date: January 21, 2013
Language: English
Duration: 01:29:17
Views: 228

Implicit Parallelism & Mixed Approaches

Implicit Parallelism & Mixed Approaches

Date: January 28, 2013
Language: English
Duration: 01:26:55
Views: 220

Parallel Algorithms

Date: February 4, 2013
Language: English
Duration: 01:25:07
Views: 219