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Muhammad Fahad is listed as HPC Scientific Software Engineer at Forschungszentrum Jülich, a company with 2011 employees, based in Jülich, North Rhine-Westphalia, Germany. AeroLeads shows a matched LinkedIn profile for Muhammad Fahad.
Muhammad Fahad previously worked as Scientific Programmer - High Performance Scientific Computing in Terrestrial Systems at Forschungszentrum Jülich and Co-Team Lead at Forschungszentrum Jülich. Muhammad Fahad holds Doctor Of Philosophy - Phd, Computer Science from University College Dublin.
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As a High Performance Computing researcher, I focus on optimizing application performance and energy efficiency across multicore CPUs, GPUs, and Xeon Phis. Leveraging my expertise in GPU programming and parallel computing, I enhance code efficiency and scalability across various architectures. In my current role, I optimize a numerical hydrologic model for various hardware platforms, including Nvidia and AMD GPUs, with a focus on achieving optimal performance on the upcoming European Exascale infrastructure. Previously, I led the development of a framework for managing complex HPC workflows, which enhanced my expertise in scientific computing and strengthened my skills in interdisciplinary collaboration.
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- Porting of Parflow (a hydrologic model and a flagship application of the Energy Oriented Center of Excellence - EoCoE III) onto various GPUs, including NVidia and AMD, ensuring compatibility and optimizing performance for Exascale readiness.- Design and implement efficient algorithms and numerical methods, drawing from cross-disciplinary knowledge, to.
Jülich, North Rhine-Westphalia, Germany
- Co-leading the Multiscale Simulation and Design team to develop tools for the deployment of complex co-simulation workflows combining multiple simulators into connected systems-Co-leading the team to development of HPC-amenable (brain) simulation and analysis software that is able to bridge the different brain scales and integrate their respective.
Jülich, North Rhine-Westphalia, Germany
- Developing APIs for the transfer of data between HPC applications via different channels (for example, using MPI, 0MQs, etc.)- Developing the tools & APIs to resource usage monitoring and steering the individual applications part of a rather larger complex workflow executing in parallel on multiple compute nodes- Participating in designing and developing.
Dublin, Ireland
- Proposed, implemented (using C/C++,OpenMP, MPI, CUDA) and validated a novel methodology to determine the accurate fine-grained device-level (CPUs, GPUs, Intel Xeon Phis, FPGAs, etc.) energy consumption by hybrid parallel applications executing in parallel on modern heterogeneous computing platforms using external power meters.- Designed and Implemented.
Demonstrated following undergraduate modules:- Data Science in Practice (python)- Introduction to Programming (Python)- Unix Programming (C/C++, bash scripting, python)- Computer Programming (C/C++)- Parallel and Cluster Computing (OMP, MPI, MKL, CuBlass, pthreads)- Processor Design (MIPS32)- High Performance Computing (MPI, OMP, MKL, pthreads, CuBlass).
Dublin
Web Design and Analytics- To familiarise students with key concepts central to web design and web analytics and also provides a guide to implementing a successful web site and web analytics strategy.- Topics include: design; web design; web development; site evaluation; content management; social media; social networking; e-commerce; e-marketing; customer.
Dublin
Information Management- focuses specifically on information management from the perspective of people and organizations. Specific attention is paid to information technology in use. In teams, students were requested to develop an IT system on the base of requirements from ‘real-world’ users.Responsibilities:- Teaching the basics of Microsoft Access (based.
Copenhagen Area, Denmark
Developed a wide range of projects such as customized POS (Point of Sale) Solutions, Web applications etc.
Darmstadt, Germany
Research & Development. Designed, developed, and analyzed the performance of "HydraNetSim" - a discrete event simulator which allows parallel simulation by exploiting the capabilities of parallelization of modern multicore computing hardware. It is based on a manager-worker paradigm. It divides the simulation model into a number of specific workers (a.
Other employees you can reach at fz-juelich.de. View company contacts for 2011 employees →
Tina Finsterbusch
Colleague at Forschungszentrum JülichCologne, North Rhine-Westphalia, Germany, Germany
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Lea Jörres
Colleague at Forschungszentrum JülichJülich, North Rhine-Westphalia, Germany, Germany
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Mei Bai
Colleague at Forschungszentrum JülichJülich, North Rhine-Westphalia, Germany, Germany
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Norbert Dettmann
Colleague at Forschungszentrum JülichJülich, North Rhine-Westphalia, Germany, Germany
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Christine Servo
Colleague at Forschungszentrum JülichCologne, North Rhine-Westphalia, Germany, Germany
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Cristina Cicali
Colleague at Forschungszentrum JülichGermany, Germany
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Dirk Vulpius
Colleague at Forschungszentrum JülichGermany, Germany
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Michael Brunn
Colleague at Forschungszentrum JülichCologne Bonn Region, Germany
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Harsh Bhardwaj
Colleague at Forschungszentrum JülichAachen, North Rhine-Westphalia, Germany, Germany
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Surbhi Sharma
Colleague at Forschungszentrum JülichDüsseldorf, North Rhine-Westphalia, Germany, Germany
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Quick answers generated from the profile data available on this page.
Muhammad Fahad works for Forschungszentrum Jülich.
Muhammad Fahad is listed as HPC Scientific Software Engineer at Forschungszentrum Jülich.
Muhammad Fahad is based in Jülich, North Rhine-Westphalia, Germany while working with Forschungszentrum Jülich.
Muhammad Fahad has worked for Forschungszentrum Jülich, Heterogeneous Computing Lab (University College Dublin), University College Dublin, Freelance, and Databases And Distributed Systems Group, Technische Universitat Darmstadt.
Muhammad Fahad's colleagues at Forschungszentrum Jülich include Tina Finsterbusch, Lea Jörres, Mei Bai, Norbert Dettmann, and Christine Servo.
You can use AeroLeads to view verified contact signals for Muhammad Fahad at Forschungszentrum Jülich, including work email, phone, and LinkedIn data when available.
Muhammad Fahad holds Doctor Of Philosophy - Phd, Computer Science from University College Dublin.
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