scholarly journals Field Programmable Gate Arrays for Enhancing the Speed and Energy Efficiency of Quantum Dynamics Simulations

2020 ◽  
Vol 16 (4) ◽  
pp. 2085-2098 ◽  
Author(s):  
José M. Rodrı́guez-Borbón ◽  
Amin Kalantar ◽  
Sharma S. R. K. C. Yamijala ◽  
M. Belén Oviedo ◽  
Walid Najjar ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Quantum Dynamics ◽  
Field Programmable Gate Arrays ◽  
Gate Arrays ◽  
Field Programmable ◽  
Programmable Gate Arrays ◽  
Dynamics Simulations

scholarly journals Field Programmable Gate Arrays (FPGAs) for Enhancing the Speed and Energy Efficiency of Quantum Dynamics Simulations

2020 ◽  
Author(s):  
Jose Rodriguez-Borbon ◽  
Amin Kalantar ◽  
Sharma Yamijala ◽  
M. Belen Oviedo ◽  
Wallid Najar ◽  
...  
Keyword(s):  
Quantum Chemistry ◽  
Energy Efficient ◽  
Quantum Dynamics ◽  
Performance Metrics ◽  
Field Programmable Gate Arrays ◽  
Gate Arrays ◽  
Computational Performance ◽  
Field Programmable ◽  
Programmable Gate Arrays ◽  
Dynamics Simulations

We present the first application of field programmable gate arrays (FPGAs) as new, <i>customizable</i> hardware architectures that can be harnessed for the fast and energy-efficient calculation of quantum dynamics simulations of large chemical/material systems. Instead of tailoring the software to fixed hardware (which is the typical case for writing quantum chemistry code for CPUs/GPUs), FPGAs allow us to <i>directly customize the underlying hardware</i> - even at the level of specific electrical signals in the circuit - to give a truly optimized computational performance for complex quantum dynamics calculations. By offloading the most intensive and repetitive calculations onto an FPGA, we show that the computational performance of our hardware implementation for real-time electron dynamics calculations can even exceed that of optimized commercial mathematical libraries running on high-performance GPUs. In addition to this impressive computational speedup, we show that FPGAs are immensely energy-efficient and consume 4 times less energy than modern GPU or CPU architectures. These energy savings are a practical and important metric for supercomputing centers (several of which exceed over $1 million in power costs alone), as exascale computing capabilities become more widespread and commonplace. Taken together, the implementation techniques and performance metrics of our study demonstrate that FPGAs could play a promising role in upcoming quantum chemistry and materials science applications, particularly for the acceleration and energy-efficient execution of quantum dynamics calculations.

scholarly journals Field Programmable Gate Arrays (FPGAs) for Enhancing the Speed and Energy Efficiency of Quantum Dynamics Simulations

2020 ◽  
Author(s):  
Jose Rodriguez-Borbon ◽  
Amin Kalantar ◽  
Sharma Yamijala ◽  
M. Belen Oviedo ◽  
Wallid Najar ◽  
...  
Keyword(s):  
Quantum Chemistry ◽  
Energy Efficient ◽  
Quantum Dynamics ◽  
Performance Metrics ◽  
Field Programmable Gate Arrays ◽  
Gate Arrays ◽  
Computational Performance ◽  
Field Programmable ◽  
Programmable Gate Arrays ◽  
Dynamics Simulations

We present the first application of field programmable gate arrays (FPGAs) as new, <i>customizable</i> hardware architectures that can be harnessed for the fast and energy-efficient calculation of quantum dynamics simulations of large chemical/material systems. Instead of tailoring the software to fixed hardware (which is the typical case for writing quantum chemistry code for CPUs/GPUs), FPGAs allow us to <i>directly customize the underlying hardware</i> - even at the level of specific electrical signals in the circuit - to give a truly optimized computational performance for complex quantum dynamics calculations. By offloading the most intensive and repetitive calculations onto an FPGA, we show that the computational performance of our hardware implementation for real-time electron dynamics calculations can even exceed that of optimized commercial mathematical libraries running on high-performance GPUs. In addition to this impressive computational speedup, we show that FPGAs are immensely energy-efficient and consume 4 times less energy than modern GPU or CPU architectures. These energy savings are a practical and important metric for supercomputing centers (several of which exceed over $1 million in power costs alone), as exascale computing capabilities become more widespread and commonplace. Taken together, the implementation techniques and performance metrics of our study demonstrate that FPGAs could play a promising role in upcoming quantum chemistry and materials science applications, particularly for the acceleration and energy-efficient execution of quantum dynamics calculations.

scholarly journals Loop Unrolling for Energy Efficiency in Low-Cost Field-Programmable Gate Arrays

2019 ◽  
Vol 11 (4) ◽  
pp. 1-23
Author(s):  
Naveen Kumar Dumpala ◽  
Shivukumar B. Patil ◽  
Daniel Holcomb ◽  
Russell Tessier
Keyword(s):  
Energy Efficiency ◽  
Low Cost ◽  
Field Programmable Gate Arrays ◽  
Loop Unrolling ◽  
Gate Arrays ◽  
Field Programmable ◽  
Programmable Gate Arrays

scholarly journals FPGA-Based Controller for a Hybrid Grid-Connected PV/Wind/Battery Power System with AC Load

Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2108
Author(s):  
Mohamed Yassine Allani ◽  
Jamel Riahi ◽  
Silvano Vergura ◽  
Abdelkader Mami
Keyword(s):  
Fuzzy Logic ◽  
Hybrid System ◽  
High Voltage ◽  
Field Programmable Gate Arrays ◽  
Energy System ◽  
Maximum Power ◽  
Hybrid Energy ◽  
Gate Arrays ◽  
Field Programmable ◽  
Programmable Gate Arrays

The development and optimization of a hybrid system composed of photovoltaic panels, wind turbines, converters, and batteries connected to the grid, is first presented. To generate the maximum power, two maximum power point tracker controllers based on fuzzy logic are required and a battery controller is used for the regulation of the DC voltage. When the power source varies, a high-voltage supply is incorporated (high gain DC-DC converter controlled by fuzzy logic) to boost the 24 V provided by the DC bus to the inverter voltage of about 400 V and to reduce energy losses to maximize the system performance. The inverter and the LCL filter allow for the integration of this hybrid system with AC loads and the grid. Moreover, a hardware solution for the field programmable gate arrays-based implementation of the controllers is proposed. The combination of these controllers was synthesized using the Integrated Synthesis Environment Design Suite software (Version: 14.7, City: Tunis, Country: Tunisia) and was successfully implemented on Field Programmable Gate Arrays Spartan 3E. The innovative design provides a suitable architecture based on power converters and control strategies that are dedicated to the proposed hybrid system to ensure system reliability. This implementation can provide a high level of flexibility that can facilitate the upgrade of a control system by simply updating or modifying the proposed algorithm running on the field programmable gate arrays board. The simulation results, using Matlab/Simulink (Version: 2016b, City: Tunis, Country: Tunisia, verify the efficiency of the proposed solution when the environmental conditions change. This study focused on the development and optimization of an electrical system control strategy to manage the produced energy and to coordinate the performance of the hybrid energy system. The paper proposes a combined photovoltaic and wind energy system, supported by a battery acting as an energy storage system. In addition, a bi-directional converter charges/discharges the battery, while a high-voltage gain converter connects them to the DC bus. The use of a battery is useful to compensate for the mismatch between the power demanded by the load and the power generated by the hybrid energy systems. The proposed field programmable gate arrays (FPGA)-based controllers ensure a fast time response by making control executable in real time.

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