International Journal of Applied Science - Research and Review Open Access

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Commentary Article - (2022) Volume 9, Issue 12

High Performance Computing Technologies and General-Purpose Computing on Graphics Processing Units (GPGPU)
Alexander Glosenberg*
Department of Computer Science, University of Amsterdam, Netherlands
*Correspondence: Alexander Glosenberg, Department of Computer Science, University of Amsterdam, Netherlands, Email:

Received: 30-Nov-2022, Manuscript No. ipias-23-15530; Editor assigned: 02-Dec-2022, Pre QC No. ipias-23-15530 (PQ); Reviewed: 16-Dec-2022, QC No. ipias-23-15530; Revised: 21-Dec-2022, Manuscript No. ipias-23-15530 (R); Published: 28-Dec-2022, DOI: 10.36648/2394-9988-9.12.105


The experience of the Covid pandemic, which has sped up numerous turbulent cycles in present day culture, is a strong and basic articulation of the need to comprehend complex cycles to accomplish typical thriving. Ongoing advances in tip top execution, quantum handling, and PC information have shown to be profoundly able and accommodating in shielding the fate of humanity. It is the way to being proficient and successful In the event that your association perceives these methods and advancements, you’ll need to deal with amazing and tumultuous circumstances all the more beneficially and everything being equal. A significant focal point of our work is a bunch of best practices and logical exploration that can assist researchers with tackling computationally complex issues. It offers a scope of programming developments, from better run enlistment than simulated intelligence and quantum processing. It means to be at the front of handling the present extraordinarily complex computational issues, driven by fierce occasions and to be expected. This segment investigates the different advances and applications that have assisted mankind with getting through its dreadful seconds, perceiving the always expanding number of vital pieces of its exceptionally complicated nature. The Coronavirus pandemic has given the present society an edge for progress. Our propensities and approaches to working have changed and we have needed to adjust to an alternate lifestyle. This unforeseen progression has made an issue that requires a development of IT the executives and foundation to oblige the most recent advancements the universe of investigation brings to the table. This is the most recent model in a progression of circumstances where associations have been compelled to refine their estimations to adjust to unexpected new necessities. Throughout the last year, everybody has seen how video conferencing has become universal, great work has turned into a piece of regular daily existence, and how much data on the Web has expanded by around 21%, and its utilization shouldn’t decrease from now on. This is compelling outrageous changes in numerous locales, including processing assets turning out to be progressively significant for handling complex issues presented by various violent circumstances.

GPGPU is an abbreviation that represents all around usable planning of dealing with units. The term suggests the utilization of graphical gas pedals, an essential piece of PC plan, for total mathematical movement and assessment that velocities up calculations. The GPGPU Library became popular in 2001 for its tunable shader approach and backing for float point computation. The capacity to successfully perform SIMD (Single Direction on Different Data) estimations is one of the features of these models. GPGPU illustrations demonstrated viable to purchasers as in 2006 he sent NVIDIA 8800 series G80 processor designs cards profiting from his CUDA4. Enrollment to the GPU was similarly reasonable for plans used to run useful undertakings. In 2006, the 8800GTX with G80 features stuffed 128 shaders (handling units) running at a recurrence of 576 MHz and ensured 345.6 GFLOPS. GPGPU figuring is currently used to accelerate a significant number of the most well-known Profound learning systems, for example, TensorFlow, PyTorch, Caffe, Matlabother. It is likewise utilized in straight polynomial math, information examination, cryptography, and feeling hypothesis.



Conflict of Interest

The author declares there is no conflict of interest in publishing this article.

Citation: Glosenberg A (2022) High Performance Computing Technologies and General-Purpose Computing on Graphics Processing Units (GPGPU). Int J Appl Sci Res Rev. 9:105.

Copyright: © 2022 Glosenberg A. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.