Performance evaluation of parallel algorithms of an Apollo networkM. BeckerG. PionGrenoble Univ
Measures and integrals. Let S⊆Rd be a subset of Rd. B(S) is the σ-algebra of Borel subsets of S. P(S) is the set of probability measures over the measurable space (B(S),S). (f,μ)≜∫f(x)μ(dx) is the integral of a real function f:S→R with respect to (w.r....
For data parallel computing frameworks, a precise yet useful cost model often measures the job execution time (i.e., beyond simple cost like I/O) [,9,12]. The main challenge in building an execution time based cost model for a DAG workflow is the inherent complexity of system resource al...
Support of parallel, distributed, and GPU learning. Capable of handling large-scale data. For further details, please refer toFeatures. Benefiting from these advantages, LightGBM is being widely-used in manywinning solutionsof machine learning competitions. ...
One of the most popular measures of robustness of a statistical procedure is the breakdown point, which represents the proportion of outlying data points an estimator can resist before giving a biased result. The maximum breakdown point is 50%, since, if more than half of the observations are ...
Design Goals for MSVC’s Parallel Algorithms Implementation While the standard specifies the interface of the parallel algorithms library, it doesn’t say at all how algorithms should be parallelized, or even on what hardware they should be parallelized. Some implementations of C++ may parallelize by...
GPUs are well-suited for high-throughput execution of complex algorithms, enabling parallel processing tasks such as FFTs to be much faster. Offerings such as the Verasonics GPU Toolkit with GPU Direct option provide tools and methods to leverage GPU processing power that can offer increased processi...
Though performance measures are key for evaluating and improving GPU-based parallel algorithms, good performance criteria are yet to be developed. In this chapter, we reviewed the conventional metrics for parallel implementation, and pointed out that these metrics are problematic in the scenario of GPU...
There are many studies that address performance measures and optimization design of parallel robots, but there has been no review of the performance indices, optimization algorithms, and optimization methods of PMs. This work studies these three aspects to provide a reference for researchers in related...
enhancement of algorithms, parallel implementations, models, software and problem solving environments for specific applications that require high performance resources. Topics include: Bioinformatics and computational biology Computational earth and atmospheric sciences Computational materials science and engineering ...