Make unlimited summaries with AI!
Upgrade to PRO US$ 7.0/m
No restricted functions
None
The article highlights the challenges of parallel programming, which involves dividing applications into smaller parts to be processed by multiple processors while minimizing scheduling and coordination overhead. The author emphasizes that parallel programming is performance-oriented and requires not only correctness but also speed. The analogy of eight reporters working on a story illustrates the challenges of parallel programming, including load balancing, synchronization, communication overhead, and managing dependencies between tasks. The article introduces various approaches to parallel programming, such as shared addressing and explicit message passing, and discusses the difficulties of benchmarking parallel processors. Finally, the article notes that graphics processing units (GPUs) are becoming popular programming platforms due to their parallel architecture.
PRO users get Higher Quality summaries
Upgrade to PRO US$ 7.0/m
No restricted functions
Summarize text
Summarize text from file
Summarize text from website
Get better quality outputs with more features
Become PRO
parallel programming
involves dividing
dividing applications
smaller parts
minimizing scheduling
coordination overhead
parallel
Programming
article highlights
multiple processors
Related summaries
Get better quality outputs with more features
Become PRO