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Future Generation Computer Systems 29 (2013) 1736 1741 Contents lists available at Diverse ScienceDirect Future Generation Computer Systems journal homepage: www.elsevier.com/locate/fgcs GPU enhanced
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GPU enhanced parallel computing refers to using graphics processing units (GPUs) to perform parallel computations, which can significantly speed up certain types of computing tasks.
Individuals or organizations that utilize GPU enhanced parallel computing for their computing tasks may be required to file reports or document their usage for regulatory compliance purposes.
Filling out GPU enhanced parallel computing reports typically involves documenting the specific tasks or processes that benefited from GPU acceleration, as well as any relevant performance metrics or benchmarks.
The purpose of GPU enhanced parallel computing is to leverage the parallel processing power of GPUs to accelerate computations, improve performance, and efficiently handle complex tasks in fields such as machine learning, scientific simulations, and data processing.
Reports on GPU enhanced parallel computing may include details on the specific GPUs used, the software or algorithms accelerated by GPUs, the performance improvements achieved, and any challenges or limitations encountered during implementation.
The deadline for filing GPU enhanced parallel computing reports in 2023 may vary depending on the regulatory requirements or organizational policies in place.
Penalties for late filing of GPU enhanced parallel computing reports may include fines, compliance audits, or other sanctions imposed by regulatory bodies or organizations overseeing the use of GPUs in parallel computing.
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