Parallel computingMaximal common subgraphStorage treeSelf organizingSynthesis planningA new maximal common subgraph search algorithm (MCS-1) is described and applied to selection of starting materials for synthesis of a target molecule. This algorithm achieves parallelism of up to 20-fold with a single...
As stated above, this example benchmarks task parallel problems, measuring only the actual runtime. This means that the example does not benchmark the performance of MATLAB®, Parallel Computing Toolbox™, or the spmd language construct. Instead, the example benchmarks the ability of the OS...
Starting with an existing algorithm, this example shows how to adapt your code using Parallel Computing Toolbox™ to make use of GPU hardware in three ways: Using the existing algorithm but with GPU data as input Using arrayfun to perform the algorithm on each element independently Using ...
“Performance” may refer to any combination of time to solution, total memory use, or efficiency when scaling out on a cluster of parallel computers. For simplicity and not necessarily for best performance, we will use a fully connected neural network in this example. We create the neural ...
A scalogram is the absolute value of the CWT coefficients of a signal. To create the scalograms, precompute a CWT filter bank. Precomputing the CWT filter bank is the preferred method when obtaining the CWT of many signals using the same parameters. Before generating the scalograms, ...
The new rxExecBy function in RevoScaleR is designed for use cases calling for high-volume parallel processing over a large number of small data sets. Given this data profile, you can use rxExecBy to read in the data, partition the data, and then call a function to iterate over each part...
This quote has a number of meanings that work at different levels: It argues that well-understood ideas should be amenable to simple explanation — and if not, maybe they aren't so well-understood after all. It recalls a time when people were willing to explain things to each other, ...
Training on a GPU requires a Parallel Computing Toolbox™ license and a supported GPU device. For information on supported devices, see GPU Computing Requirements (Parallel Computing Toolbox). Otherwise, the trainnet function uses the CPU. To specify the execution environment, use the Execution...
Update STK Parallel Computing version stamp Sep 18, 2024 StkExtensionPlugins Add Python plugin script examples Dec 23, 2024 StkUiPlugins Push 2 Sat (#232) Dec 12, 2023 SupportingScenarios Relocating Example Scenarios from SDF Jul 19, 2024 ...
Some of the key features of BrowserStack’s cloud testing platform include: Real Device Cloud: Access thousands of real iOS and Android devices to test applications under real-world conditions, ensuring accuracy in device-specific functionality. Parallel Testing: Run tests in parallel on multiple dev...