Choose timezone
Your profile timezone:
Compute Accelerator Forum - Beams GPU & VecMem
→
Europe/Zurich
Virtual (Zoom)
Virtual
Zoom
Description
To receive annuoncements and information about this forum please subscribe to compute-accelerator-forum-announce@cern.ch
Organizing Team
Compute Accelerator Forum
Zoom Meeting ID
69560339820
Host
Graeme A Stewart
Alternative hosts
Benjamin Morgan, Maria Girone, Thomas Nik Bazl Fard, Stefan Roiser
Useful links
Join via phone
Zoom URL
Compute Accelerator Forum Live Notes
This is the LiveNotes for Compute Accelerator Forum meetings. Feel free to add observations on talks and to ask questions.
-
Please don’t delete things that other people add
-
Please make sure your name is next to the question, like this [Graeme]
Introduction
-
Thematic CERN School of Computing on heterogeneous programming is coming up, applications opening 9 Dec ‘21, https://indico.cern.ch/e/tCSC-2022 - deadline for applications is January 23rd, 2022 (Sebastian Lopienski)
Heterogeneous Memory Management with VecMem
-
Did you try to compare to standard managed memory (std::par parallelism)? Suggest to follow that evolution in the standards committee. (Jack Wells, )
-
No, I didn't try b/c of too much custom code.
-
-
Can you give details about “interfacing to Llama”? (Ben Morgan)
-
Try to make Llama use the pmr feature.
-
-
How does VecMem compare to Kokkos::views? (Martin Kwok)
-
Both implement fairly similar things. Reason for VecMem is on concentrating to mimic stl code on the device.
-
-
Llama tries to focus on data arrangement and tries to keep memory management out of the library (Bernhard Gruber)
Recent development and status of beam physics codes for heterogenous platform
-
Why do you do an abstraction on top of OpenCL, instead of using it as the only solution? (Attila)
-
Fear that OpenCL may disappear, at the moment seems not the case though. OpenCL does not give the control on the device that’s maybe needed in the future.
-
Cupy works nicely with large data structures. OpenCL is not comfortable for such use cases.
-
-
NVidia has a dropin for Numpy called cuNumeric ( https://developer.nvidia.com/cunumeric ) (Jack Wells)
-
Is there scope for collaboration for Beam simulation with other labs? (Ben Morgan)
-
Development started this year. Seeing interest outside the group
-
There are minutes attached to this event.
Show them.
