GPU Algorithms for K-Anonymity in Microdata

2019 ◽  
Author(s):  
Roberto Di Pietro ◽  
Leonardo Jero ◽  
Flavio Lombardi ◽  
Agusti Solanas
Keyword(s):  
Gpu Algorithms

Collaborative (CPU + GPU) Algorithms for Triangle Counting and Truss Decomposition

2018 ◽  
Author(s):  
Vikram S. Mailthody ◽  
Ketan Date ◽  
Zaid Qureshi ◽  
Carl Pearson ◽  
Rakesh Nagi ◽  
...  
Keyword(s):  
Triangle Counting ◽  
Gpu Algorithms

Session details: GPU algorithms & systems

2009 ◽  
Vol 28 (5) ◽  
Author(s):  
Sung-Eui Yoon
Keyword(s):  
Gpu Algorithms

scholarly journals Heterogeneous techniques for rescaling energy deposits in the CMS Phase-2 endcap calorimeter

2021 ◽  
Vol 251 ◽  
pp. 04017
Author(s):  
Bruno Alves ◽  
Andrea Bocci ◽  
Matti Kortelainen ◽  
Felice Pantaleo ◽  
Marco Rovere
Keyword(s):  
Execution Time ◽  
Phase 2 ◽  
Structural Components ◽  
Performance Measurements ◽  
Linear Transformations ◽  
Fully Integrated ◽  
Heterogeneous Architectures ◽  
Gpu Algorithms ◽  
The Many

We present the porting to heterogeneous architectures of the algorithm used for applying linear transformations of raw energy deposits in the CMS High Granularity Calorimeter (HGCAL). This is the first heterogeneous algorithm to be fully integrated with HGCAL’s reconstruction chain. After introducing the latter and giving a brief description of the structural components of HGCAL relevant for this work, the role of the linear transformations in the calibration is reviewed. The many ways in which parallelization is achieved are described, and the successful validation of the heterogeneous algorithm is covered. Detailed performance measurements are presented, including throughput and execution time for both CPU and GPU algorithms, therefore establishing the corresponding speedup. We finally discuss the interplay between this work and the porting of other algorithms in the existing reconstruction chain, as well as integrating algorithms previously ported but not yet integrated.

Parallel CPU- and GPU-Algorithms for Inverse Problems in Nondestructive Testing

2018 ◽  
Vol 39 (4) ◽  
pp. 486-493 ◽  
Author(s):  
E. G. Bazulin ◽  
A. V. Goncharsky ◽  
S. Y. Romanov ◽  
S. Y. Seryozhnikov
Keyword(s):  
Inverse Problems ◽  
Nondestructive Testing ◽  
Gpu Algorithms
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