- Community Home
- >
- Servers and Operating Systems
- >
- High Performance Computing
- >
- Link Time Optimization
Categories
Company
Local Language
Forums
Discussions
- Integrity Servers
- Server Clustering
- HPE NonStop Compute
- HPE Apollo Systems
- High Performance Computing
Knowledge Base
Forums
- Data Protection and Retention
- Entry Storage Systems
- Legacy
- Midrange and Enterprise Storage
- Storage Networking
- HPE Nimble Storage
Discussions
Knowledge Base
Forums
Discussions
- Cloud Mentoring and Education
- Software - General
- HPE OneView
- HPE Ezmeral Software platform
- HPE OpsRamp Software
Knowledge Base
Discussions
Forums
Discussions
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Discussion Boards
Community
Resources
Forums
Blogs
- Subscribe to RSS Feed
- Mark Topic as New
- Mark Topic as Read
- Float this Topic for Current User
- Bookmark
- Subscribe
- Printer Friendly Page
- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
3 weeks ago
3 weeks ago
Link Time Optimization
What is the role of "Link Time Optimization" in distributed computing -- C and C++ computing over OpenSHMEM with GPUs
- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
Monday
Monday
Re: Link Time Optimization
Hello @Azoth,
Link Time Optimization (LTO) helps make programs run faster and more efficient. In simple words, when you're working with C or C++ code that uses OpenSHMEM for distributed computing and GPUs, LTO looks at all the parts of your code after they've been written. It then finds ways to combine and optimize these parts before the program is built and run.
This can lead to better performance because:
1 It reduces unnecessary code or duplicates.
2 It improves how different parts of the program work together.
3 It can make better use of the GPU and network resources when running across multiple computers.
So, in distributed computing with GPUs, LTO helps your program run smoother and faster by fine-tuning everything just before it starts working.
Azr_geek