Supercomputers are wonderful machines which allow scientist and engineers to perform high speed application processing and simulation in the fields of biology, astronomy, engineering and physics. It is considered as the third pillar of science.

UCERD Pvt Ltd is one of the largest high performance computing research center in Pakistan.
The mission of UCERD is to generate knowledge and technology to provide the infrastructure and supercomputing services to scientists and engineer.
The “Supercomputing System for Artifical Intellgence” proposed and designed by Principal Investigator Dr. Tassadaq Hussain, who is a full-time permanent faculty member in the Department of Electrical Engineering at Riphah International University, Islamabad and with the collaboration of UCERD (Pvt) Ltd.

Case Study of Supercomputing in Pakistan

The supercomputer is composed of multiple processors, memory and I/O system while an interconnect mechanism has significantly complex architecture than the ordinary computers.

The designed  “Supercomputing System for Artifical Intellgence” supports CUDA, MPI/LAM, OpenMP, OpenCL and OpenACC as the programming models and allows to solve larger algorithms & numerical techniques, big data & data mining, bioinformatics & genomics, business intelligence & analytics, climate, and weather & ocean related problems. The benchmarking results show that the system can achieve up to 3.20 terra FLOPS, which can be extended up till 10 Tera FLOPS.
[1]    Authors: Wasim, Akram.; Tassadaq Hussain; Eduard Ayguade.
        Title: FPGA and ARM Processor based Supercomputing
        Conference: 2018 International Conference on Computing, Mathematics and Engineering Technologies - iCoMET 2018.
        Publisher: IEEE Xplorer.
        ISBN: 978-1-5386-1370-2.

[2]   Memory Resources Aware Run-Time Automated Scheduling Policy for Multi-core Systems Authors Tassadaq Hussain Publication date 2017/12/16 Journal Microprocessors and Microsystems Publisher Elsevier

[3]   Memory Resources Aware Run-Time Automated Scheduling Policy for Multi-core Systems, Tassadaq Hussain. ScienceDirect Microprocessors and Microsystems 2017. ISSN: 0141-9331 IF: 1.025

[4] ViPS: A Novel Visual Processing System Architecture for Medical Imaging: Tassadaq Hussain, ScienceDirect Biomedical Signal Processing and Control, ISSN: 1746-8094. IF: 2.214

[5] Formation of pn-junction with stable n-doping in graphene field effect transistors using e-beam irradiation. Muhammad Zahir Iqbal, Nadia Anwar, Salma Siddique, Muhammad Waqas Iqbal, Tassadaq Hussain. Journal of Optical Materials 2017, ISSN: 0925-3467 IF: 2.238
[6]  A Novel Hardware Support for Heterogeneous Multi-core Memory System : Tassadaq Hussain, ScienceDirect Journal of Parallel and Distributed Computing 2016, ISSN: 0743-7315. IF: 1.930 

[7] PMSS: A Programmable Memory System and Scheduler for Regular Memory Patterns: Tassadaq Hussain, Eduard Ayguade and Amna Haider. ScienceDirect Journal of Parallel and Distributed Computing 2014. ISSN: 0743-7315 IF:1.930

[8]  AMC: Advanced Multi-core Controller: Tassadaq Hussain,  Amna Haider, Shakaib Arsalan and Eduard Ayguade. ScienceDirect Journal of Parallel Computing  2014. ISSN: 0167-8191 IF: 1.511

[9]  Memory Controller  for Vector Processor: Tassadaq Hussain, Springer Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology 2016. ISSN: 1939-8018 IF: 0.893

[10] HMMC: A Memory Controller for Heterogeneous Multi-core System,  Tassadaq Hussain. ScienceDirect Microprocessors and Microsystems 2015. ISSN: 0141-9331 IF: 1.025

[11] PGC: a pattern-based graphics controller: Tassadaq Hussain and Amna Haider. Int. J. Circuits and Architecture Design 2014.
Team Leader :
          Dr. Tassadaq Hussain

Members : 

          Amna Haider
          Wasim Akram

Affiliations :

[1]    Barcelona Supercomputing Center Spain

[2]    Riphah Int'l University Islamabad
Supercomputing System for Artificial Intelligence
UCERD Rawalpindi
UCERD Islamabad
UCERD Murree
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UCERD: Unal Center of Education Research and Development