Cost-effective low-power graphics processing unit for handheld devices

2008 ◽  
Vol 46 (4) ◽  
pp. 152-159 ◽  
Author(s):  
Byeong-Gyu Nam ◽  
Jeabin Lee ◽  
Kwanho Kim ◽  
Seungjin Lee ◽  
Hoi-Jun Yoo
Keyword(s):  
Low Power ◽  
Graphics Processing Unit ◽  
Cost Effective ◽  
Handheld Devices ◽  
Processing Unit ◽  
Graphics Processing

Real-time, High-resolution Depth Upsampling on Embedded Accelerators

2021 ◽  
Vol 20 (3) ◽  
pp. 1-22
Author(s):  
David Langerman ◽  
Alan George
Keyword(s):  
High Resolution ◽  
Low Power ◽  
Real Time ◽  
Mixed Reality ◽  
Graphics Processing Unit ◽  
Processing Unit ◽  
Reconfigurable Logic ◽  
Depth Sensors ◽  
Time Requirements ◽  
Graphics Processing

High-resolution, low-latency apps in computer vision are ubiquitous in today’s world of mixed-reality devices. These innovations provide a platform that can leverage the improving technology of depth sensors and embedded accelerators to enable higher-resolution, lower-latency processing for 3D scenes using depth-upsampling algorithms. This research demonstrates that filter-based upsampling algorithms are feasible for mixed-reality apps using low-power hardware accelerators. The authors parallelized and evaluated a depth-upsampling algorithm on two different devices: a reconfigurable-logic FPGA embedded within a low-power SoC; and a fixed-logic embedded graphics processing unit. We demonstrate that both accelerators can meet the real-time requirements of 11 ms latency for mixed-reality apps. 1

scholarly journals StimuliApp: Psychophysical tests on mobile devices

2020 ◽  
Author(s):  
Rafael Marin-Campos ◽  
Josep Dalmau ◽  
Albert Compte ◽  
Daniel Linares
Keyword(s):  
Open Source ◽  
Mobile Devices ◽  
Graphics Processing Unit ◽  
Handheld Devices ◽  
Processing Unit ◽  
Low Level ◽  
Software Applications ◽  
Auditory Noise ◽  
Graphics Processing ◽  
Psychophysical Tests

Abstract Psychophysical tests are commonly carried out using software applications running on desktop or laptop computers, but running the software on mobile handheld devices such as smartphones or tablets could have advantages in some situations. Here, we present StimuliApp, an open-source application in which the user can create psychophysical tests on the iPad and the iPhone by means of a system of menus. A wide number of templates for creating stimuli are available including patches, gradients, gratings, checkerboards, random-dots, texts, tones or auditory noise. Images, videos and audios stored in files could also be presented. The application was developed natively for iPadOS and iOS using the low-level interface Metal for accessing the graphics processing unit, which results in high timing performance.

scholarly journals StimuliApp: psychophysical tests on mobile devices

2020 ◽  
Author(s):  
Rafael Marin-Campos ◽  
Josep Dalmau ◽  
Albert Compte ◽  
Daniel Linares
Keyword(s):  
Open Source ◽  
Mobile Devices ◽  
Graphics Processing Unit ◽  
Handheld Devices ◽  
Processing Unit ◽  
Low Level ◽  
Software Applications ◽  
Auditory Noise ◽  
Graphics Processing ◽  
Psychophysical Tests

Psychophysical tests are commonly carried out running software applications in desktop or laptop computers, but running the software in mobile handheld devices such as smartphones or tablets could have advantages in some situations. Here, we present StimuliApp, an open-source application, in which the user can create psychophysical tests on the iPad and the iPhone by means of a system of menus. A wide number of templates for creating stimuli are available including patches, gradients, gratings, checkerboards, random-dots, texts, tones or auditory noise. Images, videos and audios stored in files could also be presented. The application was developed natively for iPadOS and iOS using the low-level interface Metal for accessing the graphics processing unit, which results in high timing performance.

Energy-saving techniques for low-power graphics processing unit

2008 ◽  
Author(s):  
Chia-MIng Chang ◽  
Shao-Yi Chien ◽  
You-Ming Tsao ◽  
Chih-Hao Sun ◽  
Ka-Hang LOk ◽  
...  
Keyword(s):  
Low Power ◽  
Energy Saving ◽  
Graphics Processing Unit ◽  
Processing Unit ◽  
Graphics Processing

Implementing wide baseline matching algorithms on a graphics processing unit.

2007 ◽  
Author(s):  
Fredrick H. Rothganger ◽  
Kurt W. Larson ◽  
Antonio Ignacio Gonzales ◽  
Daniel S. Myers
Keyword(s):  
Graphics Processing Unit ◽  
Processing Unit ◽  
Wide Baseline Matching ◽  
Graphics Processing

scholarly journals Two Decades of 4D-QSAR: A Dying Art or Staging a Comeback?

2021 ◽  
Vol 22 (10) ◽  
pp. 5212
Author(s):  
Andrzej Bak
Keyword(s):  
Molecular Conformation ◽  
Graphics Processing Unit ◽  
Processing Unit ◽  
Diverse Range ◽  
Current State ◽  
Gpu Clusters ◽  
Pharmacophore Hypothesis ◽  
Rising Power ◽  
Graphics Processing ◽  
Ligand Conformation

A key question confronting computational chemists concerns the preferable ligand geometry that fits complementarily into the receptor pocket. Typically, the postulated ‘bioactive’ 3D ligand conformation is constructed as a ‘sophisticated guess’ (unnecessarily geometry-optimized) mirroring the pharmacophore hypothesis—sometimes based on an erroneous prerequisite. Hence, 4D-QSAR scheme and its ‘dialects’ have been practically implemented as higher level of model abstraction that allows the examination of the multiple molecular conformation, orientation and protonation representation, respectively. Nearly a quarter of a century has passed since the eminent work of Hopfinger appeared on the stage; therefore the natural question occurs whether 4D-QSAR approach is still appealing to the scientific community? With no intention to be comprehensive, a review of the current state of art in the field of receptor-independent (RI) and receptor-dependent (RD) 4D-QSAR methodology is provided with a brief examination of the ‘mainstream’ algorithms. In fact, a myriad of 4D-QSAR methods have been implemented and applied practically for a diverse range of molecules. It seems that, 4D-QSAR approach has been experiencing a promising renaissance of interests that might be fuelled by the rising power of the graphics processing unit (GPU) clusters applied to full-atom MD-based simulations of the protein-ligand complexes.

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