The following Slurm Prolog starts the CUDA MPS server on each compute node before the job is started.
cat << EOF > /opt/slurm/etc/prolog.sh
#!/bin/sh
# start mps
nvidia-cuda-mps-control -d
The following Slurm Prolog starts the CUDA MPS server on each compute node before the job is started.
cat << EOF > /opt/slurm/etc/prolog.sh
#!/bin/sh
# start mps
nvidia-cuda-mps-control -d
This document examines how to use RELION 4.0 (beta2 as of writing) with Warp 1.09 and M 1.09 for single particle analysis.
Special thanks to Alister Burt, Pranav Shah and Dimitry Tegunov for discussion on this Twitter thread.
We use the RELION tutorial dataset (beta-galactosidase collected on JEOL CRYO ARM 200, a subset of EMPIAR-10204).
--- | |
AWSTemplateFormatVersion: '2010-09-09' | |
Description: Mobile App CICD Demo | |
Parameters: | |
DeviceFarmProjectName: | |
Type: String | |
Default: demo-app-devicefarm |
Latency Comparison Numbers | |
-------------------------- | |
L1 cache reference/hit 1.5 ns 4 cycles | |
Floating-point add/mult/FMA operation 1.5 ns 4 cycles | |
L2 cache reference/hit 5 ns 12 ~ 17 cycles | |
Branch mispredict 6 ns 15 ~ 20 cycles | |
L3 cache hit (unshared cache line) 16 ns 42 cycles | |
L3 cache hit (shared line in another core) 25 ns 65 cycles | |
Mutex lock/unlock 25 ns | |
L3 cache hit (modified in another core) 29 ns 75 cycles |
source :gemcutter | |
gem 'pit' | |
gem 'sauberia-aws-s3' |