-
How to install VLLM with CPU? @RepoPilotAssistant
-
In situations where the runtime has many workers (in an HPC cluster we can have on 10 nodes 1280 workers), QSearch and LEAP are underutilizing it, as they only submit a single batch from the frontier.…
-
Overview
===
There are many sub-routines in shgo that are low hanging fruit for parallelization, most importantly the sampling mapping of the objective function itself (in cases where it is possib…
-
Just a high-level outline of what I think would be useful to cover based on Leticia's notebooks and how I use Julia. We definitely should get more specific with the layout and who teaches what, but fo…
-
### 🚀 The feature, motivation and pitch
I'm struggling to figure out how to extend our test suite to include vllm tests. The problem is that by default vllm will take over the whole gpu, which prev…
-
Initial tests should include:
- Testing grid search generation
- Testing random search generation
- CPU parallelization
- GPU parallelization
- Releasing free GPUs and CPUs continu…
-
A new parallelization lecture was added in QuantEcon/lecture-source-py#719
At the bottom are commented out headings for Dask and GPUs.
These can be added sequentially while the lecture is live,…
jstac updated
4 years ago
-
Hello,
I tried running hellokan.ipynb on cpu and gpu, and the speed is similar. What are some places where parallelization can be introduced to improve performance?
-
I first wrote a code for dense state matrix multiplication based on the seal library. After transplanting it to the pyfhel library, I found that the speed was much faster. So I tested the ciphertext m…
-
The edges of the GPU parallelization are clearly visible on the field and phasespace openPMD dumps here:
[gpuedge.pdf](https://github.com/ComputationalRadiationPhysics/picongpu/files/7474131/gpuedge.…