Advanced Scientific Computing

The Advanced Scientific Computing committee is the school's primary task force on providing oversight and strategic direction to the advanced computing facilities including both hardware and software.

To visit High-Performance Computing website please click here: HPC website. Another cluster housed at the Biomedical Informatics Research Laboratory (BIRL) is HPCx - Al Farabi

We have upgraded the High-Performance Computing Committee to the Advanced Scientific Computing Group which will oversee and be the focal group for our matters related to high performance, scientific and resource-intensive computing in the School.

The Group's terms of reference include various aspects, are attached and the Group's composition goes as:

  • Dr. Mudassar Razzaq
  • Dr. Safee Ullah
  • Dr. Mobin Javed
  • Dr. Tajdar Mufti
  • Dr. Hassan Mohy-ud-Din

There are plans to improve the experience of our users with respect to the existing high-performance cluster.

If you want to contact the governing team please reach out to Dr. Mudassar Razzaq

The detailed TOR (Terms of Reference), can be download here.


Multicore Servers

  • Intel Xeon Servers: Two Dell PowerEdge R740 multi-cores servers (2 x 14 cores, 64GB RAM per server)
  • Intel i7 - 9th Gen Servers: 4 custom servers (9th Gen Intel i7, 16GB RAM) with low-end GPUs (MSI RTX 2080 gaming trio). Mr. Nadeem A. Fazil in IST is managing these servers. The interested faculty member can directly request Mr. Nadeem to create an account on these servers.

Bioinformatics Cluster

  • Intel Xeon E7-4830: We are also equipped with two production nodes ("Darvaish" series), each of which is a Huawei RH5885H V3 having 2 x Intel Xeon E7-4830 (12 Cores) processors backed by 1 TB of RAM and 3TB of storage space. 2x NVIDIA Tesla P100 (3584 Cores) cards are hosted to support the GPU computing requirements. Additionally, three development and testing nodes ("Chiragh" series), each constituted by Dell Power Edge R730 machines having 2 x Intel Xeon E5-2620 (12 Cores) processors with 224 GB RAM and 1TB RAID storage are also available. Multi-core computing is further support with the provision of NVIDIA Tesla K40C (2880 Cores) and Grid K2 (3072 Cores) GPU cards. 15 high-end and 12 low-end development machines are also available with NVIDIA GPUs for software development and data analysis.

  • Data storage support is provided by the "Danishwar" series of network-attached storage (NAS) devices. Two such NAS systems from QNAP, each having a Ci3 4150, 32 GB RAM, and 40 TB storage, have been developed to store modelling and simulation data.

  • The Biomedical Informatics Research Laboratory (BIRL) at LUMS, Pakistan, aims to address such bio-medical informatics challenges by leveraging data integrative approaches that cut across disciplines. 
    For more please visit: