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...rator]] [[Microarchitecture|processor architectures]], by showing inherent hardware limitations, and potential benefit and priority of [[Program optimization|o ...14-01-01|title=Cache-aware Roofline model: Upgrading the loft|journal=IEEE Computer Architecture Letters|volume=13|issue=1|pages=21–24|doi=10.1109/L-CA.2013.6| ...

...widespread applications in [[Cognitive science|cognitive sciences]] and [[computer vision]]. These methods have also found successful application in [[natural ...tps://www.sciencedirect.com/science/article/pii/S0885230816302613 |journal=Computer Speech & Language |volume=47 |pages=272–297 |doi=10.1016/j.csl.2017.08.002 ...

{{Short description|Queue management algorithm for computer network packets}} ...IETF]]}}</ref> It is designed to overcome [[bufferbloat]] in [[networking hardware]], such as [[router (computing)|router]]s, by setting limits on the delay [ ...

...of the 12th European Conference on Computer Vision|series=Lecture Notes in Computer Science|year=2012|volume=Part IV|pages=646–659 |doi=10.1007/978-3-642-33765 ...repeated penalized regression" implements an alternate, parallelised "2D" tuning method of the ℓ parameters, a method claimed to result in improved predicti ...

...ation results with digital signal processors. Hence, better algorithms and hardware architecture are needed to accelerate multidimensional DSP computations. ...multidimensional DSP computations, using dedicated [[supercomputer]]s or [[Computer cluster|cluster computers]] is required in some circumstances, e.g., [[weat ...

...tal performance of multiple-driver loudspeakers, especially with regard to tuning the [[Audio crossover|crossover]] to obtain optimum results. In this measur ...tter? |last=Roche |first=Jean-Pierre |date=April 12, 2005 |publisher=Tom's Hardware |accessdate=October 25, 2013}}</ref> ...

...uld be expected from previous records after accounting for improvements in hardware.<ref>Emmanuel Thomé, [https://listserv.nodak.edu/cgi-bin/wa.exe?A2=NMBRTHRY ...three weeks, using a 1.15&nbsp;GHz 16-processor HP [[AlphaServer GS1280]] computer and a [[General number field sieve|number field sieve]] algorithm.<ref>Anto ...

...us model sizes, with the intention to make it more accessible to different hardware. The model was exclusively a [[foundation model]],<ref name="verge-initial- LLaMa 2 includes foundation models and models [[Fine-tuning (deep learning)|fine-tuned]] for chat. In a further departure from the orig ...

Named for computer scientist and [[United States Navy]] [[rear admiral]] [[Grace Hopper]], the ...r, Grace Hopper Superchips in Production |date=2023-05-29 |website=[[Tom's Hardware]]}}</ref>--> ...

...otion segmentation''' is the process of separating [[regions]], [[feature (computer vision)|feature]]s, or [[trajectories]] from a video sequence into coherent ...oving and Deforming Objects|title=2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)|volume=2|pages=2–9|last1=Rathi|fir ...

...springer.com/chapter/10.1007/978-3-031-20470-8_25 |series=Lecture Notes in Computer Science |volume=13548 |language=en |location=Cham |publisher=Springer Inter Keeping neural models simple facilitates analysis, real time operation, and tuning. To this end, SNSs primarily model neurons as [[leaky integrator]]s, which ...

..._and_energy_cost_to_train_frontier_AI_models_over_time.png|thumb|Amortized hardware and energy cost to train frontier AI models over time.]] ...s, optimized software libraries, and [[parallel computing]] on specialized hardware such as [[Graphics processing unit|GPUs]] or [[Tensor processing unit|TPUs] ...

===Tuning=== "Tuning" means adjusting the frequency of the receiver to the frequency of the desi ...

...Chinese universities<ref name="Metz-2025b" /> and hires from outside the [[computer science]] field to diversify its models' knowledge and abilities.<ref name= Likewise, the company recruits individuals without any computer science background to help its technology understand more knowledge areas,< ...

...SPs), [[field-programmable gate array]]s (FPGAs) and other processors or [[hardware accelerator]]s. OpenCL specifies a [[programming language]] (based on [[C99 ...the hierarchy is relaxed, and only enforced by explicit [[Synchronization (computer science)|synchronization]] constructs, notably [[Memory barrier|barriers]]. ...

..., and they are increasingly being applied across various domains including computer vision, genomics, and beyond. ...functions—are highly parallelizable and amenable to optimization on modern hardware accelerators. Techniques such as fast Fourier transforms (FFT) further enha ...

...gorithms have been designed for multiplying matrices on different types of hardware, including [[parallel computing|parallel]] and [[distributed computing|dist ...">{{cite web|url=http://aka-ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-172-performance-engineering-of-software-systems-fall-2010/video-l ...

...ach [[Tokenization (lexical analysis)|token]] is then [[Contextualization (computer science)|contextualized]] within the scope of the context window with other ...3 |doi=10.1109/LRA.2022.3229266 |issn=2377-3766}}</ref> and even playing [[Computer chess|chess]].<ref name="grandmaster">{{cite arXiv |last1=Ruoss |first1=Ani ...

...d circuit technology, largely driven by the quest for a Josephson junction computer,<ref>IBM J. Res. and Dev. 24 105 (1980)</ref> By 1989, all of the hardware and software for a complete voltage metrology system was commercially avail ...

...eep neural networks for image classification|title=2012 IEEE Conference on Computer Vision and Pattern Recognition|pages=3642–3649|year=2012|last1=Ciresan|firs ...ons from the data automatically. This does not eliminate the need for hand-tuning; for example, varying numbers of layers and layer sizes can provide differe ...