Archive for the 'CUDA' Category
Wednesday, December 2nd, 2020
Bede, The N8’s new high performance GPU computing platform, is now open for users. Bede is the N8’s IBM Power9 + Nvidia GPU-based high-performance computing (HPC) platform. Unlike traditional x86 platforms, Bede is GPU-based and makes use of NVIDIA’s NV Link high-bandwidth interconnects to move tensor outputs between the GPU and system memory. This unique architecture is ideally suited to artificial intelligence (AI) and machine learning (ML) applications. Bede will also be able to work.. Read more »
Categories: CUDA, GPU, hardware, HPC, N8CIR, nvidia, Power9 | Comments Off on N8-CIR GPU Cluster (bede) now open
Friday, January 16th, 2015
The Research Infrastructure Team If you have any questions about the items below, please contact the RI team at its-ri-team@manchester.ac.uk CSF Refresh The Computational Shared Facility (CSF) is the University flagship computational resource. It started life four years ago and is now running 1000s of jobs for over 650 users from 35 research groups representing all faculties. The CSF is getting a New Year refresh. This will secure the service for years to come. The.. Read more »
Categories: CSF, CUDA, GPU, hardware, RVMS, Uncategorized, virtual machine, VM | Comments Off on RI Update, Jan 2015
Tuesday, September 3rd, 2013
The CUDA installation on CSF has now been upgraded to version 5.5.22 (previous versions are still available). All GPU nodes have had the Nvidia driver upgraded to version 319.37 to support CUDA 5. This version of CUDA includes the Nvidia Visual Profiler (nvvp) as well as the usual compiler tools, numerical libraries and sample codes. CUDA 5 is also supported by the PGI 13.6 compiler available on the CSF. Please see the CSF GPU documentation.. Read more »
Categories: CSF, CUDA, GPU, hardware, nvidia, OpenCL | Comments Off on CUDA 5.5 available on CSF