Skip to content

Instantly share code, notes, and snippets.

@wolfram77

wolfram77/notes-hybrid-multicore-computing.md

Last active September 26, 2021 02:16
Show Gist options
  • Star 0 You must be signed in to star a gist
  • Fork 0 You must be signed in to fork a gist
  • Save wolfram77/05dab9b615b6fb2db22a3993251d01a6 to your computer and use it in GitHub Desktop.
Save wolfram77/05dab9b615b6fb2db22a3993251d01a6 to your computer and use it in GitHub Desktop.
Download ZIP
Hybrid Multicore Computing : NOTES
Raw
notes-hybrid-multicore-computing.md

Highlighted notes on:
Hybrid Multicore Computing.
While doing research work with Prof. Dip Sankar Banerjee, Prof. Kishore Kothapalli.

In this comprehensive report, Prof. Dip Sankar Banerjee describes about the benefit of utilizing both multicore systems, CPUs with vector instructions, and manycore systems, GPUs with large no. of low speed ALUs. Such hybrid systems are beneficial to several algorithms as an accelerator cant optimize for all parts of an algorithms (some computations are very regular, while some very irregular).

Display the source blob
Display the rendered blob
Raw
notes-hybrid-multicore-computing.pdf
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment