Difference between revisions of "GPU621/To Be Announced"

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== Progress ==
 
== Progress ==
 +
 +
 +
== Difference of CPU and GPU for parallel applications (Yunseon) ==
 +
 +
== Latest GPU specs (Yunseon) ==
 +
 +
AMD:
 +
 +
NVIDIA:
 +
 +
== Means of parallelisation on GPUs ==
 +
 +
short introduction and advantages and disadvantages of:
 +
 +
CUDA (Yunseon)
 +
OpenMP (Elena)
 +
HIP    (Elena)
 +
OpenMPI (Nathan)
 +
 +
== Instructions ==
 +
 +
How to set up compiler and target offloading for windows, on NVIDIA GPU: (Nathan)
 +
 +
How to set up compiler and target offloading for Linux on AMD GPU: (Elena)
 +
 +
== Code for tests (Nathan) ==
 +
 +
 +
== Results and Graphs (Nathan/Elena) ==
 +
 +
 +
== Conclusions (Nathan/Elena/Yunseon) ==

Revision as of 20:43, 11 November 2020


GPU621/DPS921 | Participants | Groups and Projects | Resources | Glossary

OpenMP Device Offloading

OpenMP 4.0/4.5 introduced support for heterogeneous systems such as accelerators and GPUs. The purpose of this overview is to demonstrate OpenMP's device constructs used for offloading data and code from a host device (Multicore CPU) to a target's device environment (GPU/Accelerator). We will demonstrate how to manage the device's data environment, parallelism and work-sharing. Review how data is mapped from the host data environment to the device data environment, and attempt to use different compilers that support OpenMP offloading such as LLVM/Clang or GCC.

Group Members

1. Elena Sakhnovitch

2. Nathan Olah

3. Yunseon Lee

Progress

Difference of CPU and GPU for parallel applications (Yunseon)

Latest GPU specs (Yunseon)

AMD:

NVIDIA:

Means of parallelisation on GPUs

short introduction and advantages and disadvantages of:

CUDA (Yunseon) OpenMP (Elena) HIP (Elena) OpenMPI (Nathan)

Instructions

How to set up compiler and target offloading for windows, on NVIDIA GPU: (Nathan)

How to set up compiler and target offloading for Linux on AMD GPU: (Elena)

Code for tests (Nathan)

Results and Graphs (Nathan/Elena)

Conclusions (Nathan/Elena/Yunseon)