Facilities

GPU servers are  servers  packed with graphics cards, designed to harness the raw processing power. Using an offloading process, the CPU can hand specific tasks to the GPUs, increasing performance. They can have thousands of cores running in parallel. The result is that certain mathematical operations can run faster on a GPU than a CPU . Here we have Lenovo ThinkSystem SR650 containing a V100 GPU card with 32 GB Graphics RAM serves for the purpose. It contains various software packages like Cuda 10.1, PyCuda, Tensor flow 2.0, for various student projects like parallel programming, etc

HPC Cluster is a group of computing nodes joins computational powers of them to provide a more combined computational power. Therefore, cluster computing utilizes multiple machines to provide a more powerful computing environment perhaps through a single operating system. In its simplest structure, as said above the HPC clusters are intended to utilize parallel computing to apply more processor force for the solving the problem. Though from the outside the cluster may look like a single system, the internal workings to make this happen can be quite complex. The idea is that the individual tasks that make up a parallel application should run equally well on whatever node they are dispatched on. However, some nodes in a cluster often have some physical and logical differences. A High-Performance cluster at Central computer center is shown in Figure below has a 14 node architecture; One master node, 6 GPU Compute node, 6 compute nodes, 1 Xeon Phi (KNL) node

Company :Dell O S :Ubuntu Processor :Intel Xeon Graphics Card :NVidia K20c Ram : 32 GB We provide CUDA server for executing data parallel applications.

ompany :Dell O S :Linux/Windows Processor :Intel Xeon E5-2630 v2 Ram :32 GB

Company :H P O S :Windows 2008 Server Processor : Quad Core AMD Opteron Ram : 16 GB

Company :Fujitsu O S :Linux/WIndows Processor :Intel Xeon E3-1245 v5 Ram32 GB

Comany :Dell O S :Linux/Windows Processor :Intel Xeon E5-1620V2 Ram :8 GB Graphics Card :Nvidia Quadro K2000

Company H P O S : Windows/Linux Processor : Dual Core AMD Opteron Ram :4 GB

Company : Dell O S : Cent OS / Windows 10 Processor :Intel Core i5 Ram :4 GB

Company :H P O S :Linux/WIndows Processor :Intel Core i5 Ram8 GB