|
|
|
|
|
Weison Lin, Yajun Zhu and Tughrul Arslan
Edge AI accelerators are utilized to accelerate the computation in edge AI devices such as image recognition sensors on robotics, door lockers, drones, and remote sensing satellites. Instead of using a general-purpose processor (GPP) or graphic processin...
ver más
|
|
|
|
|
|
|
|
|
|
|
Driss En-Nejjary, François Pinet and Myoung-Ah Kang
The size of spatial data is growing intensively due to the emergence of and the tremendous advances in technology such as sensors and the internet of things. Supporting high-performance queries on this large volume of data becomes essential in several da...
ver más
|
|
|
|
|
|
|
|
|
|
|
Faraz Bhatti and Thomas Greiner
Plenoptic camera based system captures the light-field that can be exploited to estimate the 3D depth of the scene. This process generally consists of a significant number of recurrent operations, and thus requires high computation power. General purpose...
ver más
|
|
|
|
|
|
|
|
|
|
|
Igor Sesin,Roman Bolbakov
Pág. 66 - 73
GPGPU (General Purpose computing for Graphical Processing Units) technology allows one to harness the computational power of a GPU (Graphical Processing Unit) and apply it to practically any computationally-intensive task benefiting from parallelization....
ver más
|
|
|
|
|
|
|
|
|
|
|
Igor Sesin,Roman Bolbakov
Pág. 62 - 67
Problem-oriented program generation is an approach to improving performance for certain class of GPGPU (General Purpose computing for Graphical Processing Units) programs. Creating problem-oriented program generators manually is a time-consuming and diff...
ver más
|
|
|
|
|
|
|
|
|
|
|
Konstantin Isupov
Residue number system (RNS) is known for its parallel arithmetic and has been used in recent decades in various important applications, from digital signal processing and deep neural networks to cryptography and high-precision computation. However, compa...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sebastian Raschka, Joshua Patterson and Corey Nolet
Smarter applications are making better use of the insights gleaned from data, having an impact on every industry and research discipline. At the core of this revolution lies the tools and the methods that are driving it, from processing the massive piles...
ver más
|
|
|
|
|
|
|
|
|
|
|
Michael Knobloch,Bernd Mohr
Pág. 91 - 111
General purpose GPUs are now ubiquitous in high-end supercomputing. All but one (the Japanese Fugaku system, which is based on ARM processors) of the announced (pre-)exascale systems contain vast amounts of GPUs that deliver the majority of the performan...
ver más
|
|
|
|
|
|
|
|
|
|
|
Syed Tahir Hussain Rizvi, Denis Patti, Tomas Björklund, Gianpiero Cabodi and Gianluca Francini
The realization of a deep neural architecture on a mobile platform is challenging, but can open up a number of possibilities for visual analysis applications. A neural network can be realized on a mobile platform by exploiting the computational power of ...
ver más
|
|
|
|
|
|
|
|
|
|
|
David Rohr,Gvozden Neskovic,Volker Lindenstruth
Pág. 41 - 48
The L-CSC (Lattice Computer for Scientific Computing) is a general purpose compute cluster built with commodity hardware installed at GSI. Its main operational purpose is Lattice QCD (LQCD) calculations for physics simulations. Quantum Chromo Dynamics (Q...
ver más
|
|
|
|
|
|