Threads: Concurrency and Parallelism in Computer Systems

Related lectures (31)

Page 3 of 4

Explores visibility in concurrency, memory models, shared memory, and hardware optimizations.

Presents an algorithm to prevent starvation and maximize philosophers eating simultaneously.

Covers the basics of parallelism, including physical examples, historical context, multicore era, and parallel collections in Scala.

Explores monitors as a synchronization construct providing mutual exclusion and cooperation among threads, with examples like the one-place buffer.

Covers memory consistency models, parallel computing, atomic subroutines, GPU architecture, and multithreading.

Explores GPUs' architecture, multithreading, and their role in machine learning, discussing limitations and future trends.

Covers the interaction between operating systems and IO devices, focusing on hardware fundamentals and performance implications.

Explains the Java Memory Model and thread start semantics for concurrent programs.

Covers fragmentation and segmentation, focusing on memory management techniques and their implications for system performance.

Explains the process state transition diagram and the management of process states in operating systems.