Hardware Acceleration of Reservoir Simulations using FPGA and GPU
In this project, we are working with Equinor to analyze and understand the potential of accelerated technology in speeding up large-scale oil reservoir simulations, which is one of the core businesses of Equinor. In this context, we are porting several of the computationally intensive parts of the OPM reservoir simulator to FPGAs and GPUs and leverage our expertise and technology as illustrated in the figure above.
For more information about this work, we refer the reader to a selection of our publications:
OpenQL: A Portable Quantum Programming Framework for Quantum Accelerators
OpenQL is a framework for high-level quantum programming in C++/Python. The framework provides a compiler for compiling and optimizing quantum code. The compiler produces the intermediate quantum assembly language and the compiled micro-code for various target platforms. While the microcode is platform-specific, the quantum assembly code (in cQASM format) is hardware-agnostic and can be simulated on the QX simulator. This work has been performed at TUD's Qutech research institute for quantum computing by the founders of BDA.
For more information about this work, we refer the reader to the publication: