GPU-engines have received a lot of technical marketing, while deep internal dependencies are keys to understand both the real strengths and also the real weaknesses these architectures experience in practice ( typically much different than the aggressive marketing whistled-up expectations ). 1 ns __...
Crowdsensing data collection provides a significant advantage for wearables over large and accurate laboratory sensors. It becomes an effective and low-cost approach for automatic multi-purpose data gathering and processing[351]. Nowadays, it is commonly used, for instance, to automatically generate rad...
However, it is difficult to run in real-time due to its highly computational cost. We introduce a GPU-based light hierarchy for real-time approximation of the illumination. We store virtual point lights in images and then build the view-independent hierarchy of the lights into image pyramids,...
cost of LWE instances among the above three solvers while with growth ofnin "dd" float_type, the experiment result is stored in the folderlwe-instance-test. It is the source data of Figure 2(c) and Figure 2(d). All the above result shows the cost of T(ProPnJBKZ(EnumBS))<T(Pro...
KRAS4B is a membrane-anchored signaling protein and a primary target in cancer research. Predictions from molecular dynamics simulations that have previously shaped our mechanistic understanding of KRAS signaling disagree with recent experimental results from neutron reflectometry, NMR, and thermodynamic bindi...
SPTAG provides two methods: kd-tree and relative neighborhood graph (SPTAG-KDT) and balanced k-means tree and relative neighborhood graph (SPTAG-BKT). SPTAG-KDT is advantageous in index building cost, and SPTAG-BKT is advantageous in search accuracy in very high-dimensional data. ...
Choudhury M R, Mohanram K. Low cost concurrent error masking using approximate logic circuits. IEEE Trans. Computer-Aided Design of Integrated Circuits and Systems, 2013, 32(8): 1163–1176. DOI: 10.1109/TCAD.2013.2250581.. Google Scholar ...
However, edge servers, often embedded with GPU processors, highly demand a solution for power-efficient neural network (NN) training due to the limitation of power and size. Besides, according to the nature of the broad dynamic range of gradient values computed in NN training, floating-point ...
Earlier versions were found to be double the speed of 4x MSAA, so you're looking at a modest 12 or 13 percent cost in framerate to enable FXAA -- and in return you get a considerable reduction in aliasing. The only downside, and it is minor, is that you may see a bit of ...
[1,2]. It is then possible to exploit the result of this first step to perform a dense point reconstruction by estimating a depth map for each image [3,4]. On one hand, these approaches are useful for those applications requiring a robust and low-cost acquisition system. On the other ...