Is faster better … and greener ?

Common thoughts suggests that environmental respective “green” computing is tightly linked to rapid execution of a given computer program or routine. This post reports some interesting relations between computer languages, their relative execution time and their energy consumption

In case your already running after your schedule, here is the conclusion: C is fast and features an especially low energy consumption footprint.

Tesla V100 Nvlink GPU node

Tesla V100 Nvlink GPU node
High-performance GPU-based intensive compute node

In less than a month, a new compute node will augment the current GPU-based systems available at the Swiss Geocomputing Centre. Acquired thanks to the support of the FINV – Unil fond, this intensive compute node is the building block of tomorrow’s most powerful supercomputers. The 4U rack is composed of a 2U unit hosting two Intel Scalable Silver 4112 (4 cores) processors and 768 GB of RAM. The second 2U unit contains 8 state-of-the-art Tesla Volta 100 Nvlink GPUs. Each of the graphical processor is equipped with 32 GB of on-chip memory, and achieves a theoretical memory bandwidth close to 1 TB/s. The system features 8 Tesla V100 cards interconnected with the Nvidia Nvlink technology, and is capable to deliver an overall processing power up to 40’000 cores, which is the equivalent of 5’000 usual 8 cores computer processors (CPU).

Here is an insight of this computing monster, imaged while visiting today Colfax International, our provider and main tech partner, in Sunnyvale CA. Enjoy 🙂

View inside the 2u unit hosting the 8 Tesla V100 Nvlink GPUs. Visible is the passive cooling installation on their top.
View inside the 2u unit hosting the intel Scalable processors and the 768 Gb of RAM.