Development and performance evaluation of virtual auditory display system to synthesize sound from multiple sound sources using graphics processing unit

2013 ◽  
Vol 133 (5) ◽  
pp. 3361-3361
Author(s):  
Kanji Watanabe ◽  
Yusuke Oikawa ◽  
Sojun Sato ◽  
Shouichi Takane ◽  
Koji Abe
Keyword(s):  
Performance Evaluation ◽  
Graphics Processing Unit ◽  
Processing Unit ◽  
Auditory Display ◽  
Display System ◽  
Sound Sources ◽  
And Performance ◽  
Graphics Processing

A GPU-accelerated continuous and discontinuous Galerkin non-hydrostatic atmospheric model

2017 ◽  
Vol 33 (1) ◽  
pp. 81-109 ◽  
Author(s):  
Daniel S Abdi ◽  
Lucas C Wilcox ◽  
Timothy C Warburton ◽  
Francis X Giraldo
Keyword(s):  
Discontinuous Galerkin ◽  
Graphics Processing Unit ◽  
Three Dimensional ◽  
Atmospheric Model ◽  
Benchmark Problems ◽  
Processing Unit ◽  
Multiple Thread ◽  
And Performance ◽  
Graphics Processing ◽  
Gpu Implementation

We present a Graphics Processing Unit (GPU)-accelerated nodal discontinuous Galerkin method for the solution of the three-dimensional Euler equations that govern the motion and thermodynamic state of the atmosphere. Acceleration of the dynamical core of atmospheric models plays an important practical role in not only getting daily forecasts faster, but also in obtaining more accurate (high resolution) results within a given simulation time limit. We use algorithms suitable for the single instruction multiple thread architecture of GPUs to accelerate our model by two orders of magnitude relative to one core of a CPU. Tests on one node of the Titan supercomputer show a speedup of up to 15 times using the K20X GPU as compared to that on the 16-core AMD Opteron CPU. The scalability of the multi-GPU implementation is tested using 16,384 GPUs, which resulted in a weak scaling efficiency of about 90%. Finally, the accuracy and performance of our GPU implementation is verified using several benchmark problems representative of different scales of atmospheric dynamics.

Development of a real-time integral imaging display system based on graphics processing unit parallel processing using a depth camera

2014 ◽  
Vol 53 (01) ◽  
pp. 1 ◽  
Author(s):  
Ji-Seong Jeong ◽  
Ki-Chul Kwon ◽  
Munkh-Uchral Erdenebat ◽  
Yanling Piao ◽  
Nam Kim ◽  
...  
Keyword(s):  
Parallel Processing ◽  
Real Time ◽  
Graphics Processing Unit ◽  
Depth Camera ◽  
Processing Unit ◽  
Display System ◽  
Integral Imaging ◽  
Time Integral ◽  
Graphics Processing

scholarly journals High Performance Computing Environment using General Purpose Computations on Graphics Processing Unit

2021 ◽  
Vol 7 (2) ◽  
Author(s):  
Andreas Widjaja ◽  
Tjatur Kandaga Gautama ◽  
Sendy Ferdian Sujadi ◽  
Steven Rumanto Harnandy
Keyword(s):  
High Performance Computing ◽  
High Performance ◽  
Graphics Processing Unit ◽  
General Purpose ◽  
Superior Performance ◽  
Processing Unit ◽  
Development Phase ◽  
And Performance ◽  
Graphics Processing ◽  
Performance Computing

Here a report of a development phase of an environment of high performance computing (HPC) using general purpose computations on the graphics processing unit (GPGPU) is presented. The HPC environment accommodates computational tasks which demand massive parallelisms or multi-threaded computations. For this purpose, GPGPU is utilized because such tasks require many computing cores running in parallel. The development phase consists of several stages, followed by testing its capabilities and performance. For starters, the HPC environment will be served for computational projects of students and members of the Faculty of Information Technology, Universitas Kristen Maranatha. The goal of this paper is to show a design of a HPC which is capable of running complex and multi-threaded computations. The test results of the HPC show that the GPGPU numerical computations have superior performance than the CPU, with the same level of precision.

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