Kumar Lab receives a new grant from NIDA

Kumar Lab receives a new grant from NIDA

The Kumar Lab received a grant from NIDA to build new models of addiction. The press release is here https://www.jax.org/news-and-insights/2020/july/building-better-mouse-models-for-addiction-research The project summary is available here: PROJECT SUMMARY Addiction is...

PyTorch: keep the GPU busy

We all know it’s important to use GPU resources efficiently, especially during inference. One easy and highly effective way to achieve this is to reorder some of your inference logic to exploit PyTorch’s asynchronous GPU operations. This becomes especially...

HE Plots at a glance

Multivariate response data are routinely generated from experiments carried out in our lab. For example, several interrelated gait metrics such as stride length, step length, limb duty factor etc. are extracted from each stride of the mouse. The goal is to gain...

Singularity Container Efficiency Benchmark

Singularity is a relatively new tool that extends docker-style containerized compute into the hands of researchers on compute clusters. For security reasons, most compute clusters did not allow docker containers, and would require any software to be installed by...